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AI Voice Agents - The Complete Guide to Voice Chat (2025)

Nov 23, 2025
7 mins

Learn everything about an AI voice agents, its benefits, implementation tips, and the AI voice chat applications for business success.

Longer wait times, high call volumes, and language barriers in call centers often frustrate customers. Complex interactive voice response (IVR) menus only add to the problem, leading to customer dissatisfaction. That’s why companies are adopting smarter self-service solutions like artificial intelligence (AI) voice agents. In fact, experts predict the voice bot market will reach $98.2 billion by 2027, showing a clear trend toward smarter solutions to improving customer experience.

AI voice agents technology combines Natural Language Processing (NLP), machine learning, and voice recognition to transform customer interactions. It provides quicker, more efficient service and improves the overall customer experience.

In this guide, we'll explore what AI voice agents are, their key features, practical use cases, and tips on how to implement a voice agent in your business.

What is an AI voice agent?

An AI voice agent is a two-way conversational tool that communicates with the customer. It automates inbound and outbound calls without human intervention and transfers calls to a human agent when needed.

The biggest advantage? Callers can navigate an IVR by speaking naturally, without listening to long, complex menus or pressing numbers on a keypad.

Popular AI voice agent examples include Apple's Siri, Google Assistant, and Amazon's Alexa. These tools simplify interactions, provide instant answers, and automate tasks. In contrast, advanced bots like IBM’s Watson Assistant and Microsoft’s Cortana handle customer support, sales inquiries, and internal communications.

Types of AI voice agents

Here’s a breakdown of the four main types of AI voice agents and how they can benefit your business:

Rule-based AI voice agent

Rule-based voice agent use predefined sets of questions and rules to offer answers or perform tasks. Such voice agents handle routine tasks and customer FAQs. They answer all queries that fall under the if-this-then-that logic.

For example, an e-commerce site using a bot to guide customers in checking their order status or a banking site handling routine inquiries like balance checks, bill payments, transaction histories, etc.

AI-assisted voice agent

AI-assisted voice agents use machine learning and natural language to interpret conversations so they can analyze the context and grasp what the speaker means. This makes them far more capable and user-friendly than the conventional, rule-based voice agents.

Let’s suppose a user asks Alexa, 'What's the weather tomorrow?' and then follows up with, 'How about next week?' it remembers the context. This adaptability means customers don’t have to repeat themselves, creating a more contextual customer experience.

Conversational AI voice agent

Conversational voice agents make conversations using natural language. They’re more nuanced than AI-assisted voice agents as they can handle complex conversations using everyday language to create more personalized interactions.

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Google Duplex, and IBM Watson Assistant, are examples of conversational voice agents. They can make phone calls, make reservations, and handle natural conversations with a human-like tone.

Voice-activated voice agent

These bots use voice commands to answer practical questions and perform routine tasks. They are more flexible than personal voice agents that adapt to speakers and perform customized tasks.

Such bots serve as digital assistants to AI-assisted bots like Siri.

How does an AI voice agent improve customer engagement?

A customer calling your sales team wants to feel valued and understood. An AI voice agent does that. It puts the customer at the center, creating a better experience and driving business benefits as a result. Let’s understand it with a few use cases. 

Use case: Get a quick update on order status, 24/7

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Assuming the AI voice agent is integrated into your CRM, it greets the customer by name. Instead of navigating through a branched IVR to get their order status, the customer can simply say ‘order status’ and the voice bot pulls out the order details from the CRM and gives the user a real-time update within seconds.

Sheraz Ali, the Founder of HARO Links Builder states that their voice agent managed over 30% of customer interactions in one of their company projects and drastically reduced wait times.

“It also improved our response efficiency and led to a 20% increase in customer satisfaction scores and a reduction in operational costs within three months.” 

Benefits:

  • Decreased waiting time.
  • Limited IVR menu navigation.
  • No human intervention is required.
  • Quick response times.
  • Reduced business costs.
  • Tangible increase in customer satisfaction.

Use case: Improve language learning for students 

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A language learning platform uses a voice agent to provide real-time translations and personalized tutoring. So the voice agent instantly supports students in any subject by translating and clarifying complex terms in their preferred language.

Benefits:

  • Reduced requirement for multilingual staff.
  • Increases inclusivity as the bot answers in the user’s preferred language.
  • Language barriers are removed.

Use case: Improve patient outcomes in healthcare

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It's easy to miss appointments or forget to deliver prescriptions to the patient’s home timely. A healthcare service can employ a voice agent to deliver personalized care and offer preliminary health assessments, medication reminders, and easy appointment scheduling, all according to the individual patient's needs.

Benefits

  • Saves time by streamlining appointment bookings.
  • Ensures medication adherence with timely reminders.
  • Reduces workload for healthcare providers with automated support.

Use case: Streamline routine financial services 

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Once integrated with the banking system, the voice agent automates routine financial tasks, provides instant account information, processes transactions, and delivers personalized financial advice around the clock.

Benefits:

  • 24/7 access to financial services without wait times.
  • Improves customer experience with quick, accurate responses.
  • Automates routine tasks, freeing up staff for complex queries.
  • Provides personalized advice to improve financial decision-making.

Use case: Get personal shopping assistance  

Source

An e-commerce platform can use a voice agent to assist customers with product selection, provide personalized recommendations, and automate the sales process from start to finish.

Benefits:

  • Delivers a personalized shopping experience 24/7.
  • Boosts sales with customized recommendations.
  • Reduces cart abandonment by guiding customers to checkout.
  • Improves customer satisfaction with fast, accurate service.

Features of an AI voice agent

To understand why voice agents are so effective, let’s look at the key features that improve the overall customer service experience while streamlining business operations.

The best voice agents for businesses come equipped with:

Natural language understanding (NLU)

An AI voice agent understands user queries by converting speech into text using AI and NLP. It then forms an appropriate response and converts it back into speech using text-to-speech (TTS) technology. This ability to understand and respond in natural, conversational language sets AI voice agents apart from traditional IVR systems, which rely on rigid, menu-based responses.

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Personalization capabilities

Customers want quick, personalized responses to their queries, unlike complex IVR systems that frustrate them with lengthy menus. An AI voice agent offers contextual conversations, adapting to the user’s intent. It detects speech cues, skips irrelevant interactions, and also transfers calls to the right agent.

Hence, when comparing voice agents to IVRs, the bot's ability to offer personalized interactions like a human outshines communication systems that follow even the best IVR practices.

Multi-language support

AI voice agents break down language barriers, supporting multiple languages to provide a more inclusive and accessible customer experience. Businesses can easily connect with diverse customer bases across the globe.

For instance, Plivo supports speech recognition in 27 languages and their regional variants. 

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Integration with other platforms and services

AI voice agents easily integrate with platforms like customer relationship management (CRM) systems, Enterprise resource planning (ERP) tools, and ticketing software. They access and update customer data in real time to ensure accuracy.

These bots also pull relevant details, automate follow-up actions, and sync with communication channels like email or chat. This creates a personalized and consistent customer experience across all touchpoints.

Benefits of voice agents

Let’s now look at the benefits of AI voice agents.  

Enhanced user experience

Many businesses have concerns over the quality of a voice agent for customer service. However, a voice agent answers queries quickly regardless of the time of the day. Speedy, reliable answers are important to providing excellent service, making voice agents an invaluable tool for businesses looking to improve customer satisfaction.

Additionally, businesses can:

  • Handle routine queries and common tasks faster than human agents.
  • Remove the need for users to navigate complex IVR menus.
  • Manage high-volume calls without errors.

Better cost efficiency

An AI voice agent doesn’t just save time, it also saves money. It boosts user satisfaction and reduces support times by automating repetitive queries. This frees up staff for higher-value tasks, and interacting with customers after hours has improved lead conversion.

The direct benefits to businesses are:

  • Reduces the need for a larger customer support team.
  • Allows human agents to focus on complex, high-value inquiries.
  • Engages users outside business hours to boost marketing return on investment (ROI).
  • Lowers training costs and minimizes the risk of providing incorrect information.

Accessibility for users with disabilities

With over one billion people living with disabilities worldwide, voice agents make services more inclusive. They enable hands-free, accessible interactions, allowing customers with visual, motor, or cognitive impairments to engage with the business easily. This not only improves customer satisfaction but also broadens the company’s reach to a more diverse audience.

Data collection and analysis for improved services

Voice agents don’t just serve customers — they also gather insights. Use this data to analyze data and improve services, personalize marketing efforts, and make more informed business decisions.

24/7 availability

Unlike human agents, voice agents are always accessible. They ensure customers get help whenever they need it, contributing to a more consistent and reliable customer experience.

Future of AI voice technology

As IBM's data engineer, Chris Hay puts it, "We're entering an era where every mom-and-pop shop can have the same level of customer service as an enterprise." This statement captures the transformative potential of voice recognition technology.

AI voice chat applications benefit businesses of all sizes by delivering top-tier customer experiences. Tech giants are already paving the way. Microsoft has updated its Copilot AI with advanced voice capabilities, allowing it to handle complex queries with natural language reasoning, while Meta has introduced voice AI to its messaging apps.

AI voice assistants will move beyond smartphones, integrating into wearable devices like the recently unveiled Meta Orion augmented reality glasses. For businesses handling sensitive client relationships, this could mean smarter, empathetic bots that mirror the tone and approach of a human assistant.

Key upcoming trends:

  • Hyper-personalization: Customized voices and targeted recommendations.
  • Advanced problem-solving: Managing complex queries using natural language.
  • Real-time analytics: Analyzing customer tone for deeper insights.

Yet, challenges remain. Arvind Rongala, the founder of a skill-management solution provider, shares, “There are still issues, especially with data privacy and ensuring interactions are human-like. In addition to resolving problems with bias in training data and regulatory compliance, businesses must strike a balance between automation and personalization. For example, adhering to GDPR regarding the storage of voice data can be challenging, but doing so is essential to fostering trust.”

Ultimately, businesses need to prioritize data security, explore multi-device integration options, and develop stronger contextual understanding for natural interactions.

Launch an AI voice agent with Plivo

Any scaling business needs a voice agent that's easy to integrate, globally accessible, and cost-effective without sacrificing quality.

Plivo checks all these boxes, offering seamless integration, seven global points of presence for low-latency interactions, and competitive rates starting at just $0.0040 per minute. It's ideal for businesses willing to scale while keeping operational costs in check.

In fact, Plivo can reduce operational costs by up to 40%.

Moreover, its commitment to reliability is backed by a 99.99% uptime guarantee, with failover capabilities that switch within two seconds if any disruptions occur.

You can launch voice agents with Plivo using just a few lines of code.

  • Log in to your OpenAI Account: Secure your API key and RealTime API access.
  • Log in to your Plivo Account: Sign up and get a voice-enabled number.

With integration options for leading speech-to-text (STT) and TTS providers like Deepgram and ElevenLabs, you can launch AI voice agents in multiple regions, including India, using local numbers.

Use Plivo-powered voice agents for: 

  • Personal shopping assistance: Offer personalized recommendations, go through product selections, and close sales. 
  • Healthcare automation: Improve patient outcomes with medication reminders, and appointment scheduling, and offer preliminary health assessments.
  • Inclusivity in education: Break language barriers in learning with real-time translations and personalized tutoring across multiple subjects.
  • Routine financial services automation: Provide instant account information, personalized financial advice, transaction processing status, etc. to customers.

With a 24/7 AI voice agent, your business can handle these tasks around the clock, ensuring that customers are never left waiting. Want to improve customer experience with Plivo? Contact us today.

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Feb 16, 2026
5 mins

8 Best AI Voice Automation Platforms in 2026

e Automation Software for Sales & Support (2026) Meta Description: Explore the 8 best AI voice automation platforms in 2026. Compare enterprise-ready tools for sales, support, scheduling, and intelligent call handling.

8 Best AI Voice Automation Platforms in 2026

The era of "Press 1 for Sales" is effectively over. In 2026, customers expect immediate, intelligent conversation, and businesses that stick to rigid keypad menus are actively losing revenue.

Modern voice automation has evolved far beyond simple call routing. Today's best platforms enable you to deploy infinite agents that sound, think, and react like your top employees, handling complex sales objections, scheduling appointments, and resolving support tickets without a human ever picking up the phone.

But with hundreds of new tools flooding the market, finding one that actually delivers low latency and stability is a challenge. We have analyzed the top contenders to bring you the 8 platforms that are truly enterprise-ready.

Here is the list.

How to select the best AI voice automation platforms

To ensure this list serves both technical engineering teams and non-technical business owners, we evaluated eight platforms based on four critical performance metrics:

  • Latency & Human-Likeness: We prioritized platforms that minimize the "awkward pause" (sub-1000ms response times) and offer voices that capture human nuance, including the ability to handle interruptions and "barge-ins" naturally.
  • Integration Capabilities: A voice agent is only as good as the data it can access. We selected tools that offer deep, native integrations with major CRMs (HubSpot, Salesforce) or robust APIs that allow the agent to trigger complex backend actions.
  • Reliability at Scale: We looked for infrastructure capable of handling hundreds of concurrent calls without degrading audio quality or crashing, ensuring stability for high-volume campaigns.
  • Flexibility (Code vs. No-Code): We purposefully included a mix of "developer-first" APIs (for maximum control) and "no-code" visual builders (for rapid deployment) to cater to different organizational needs.

Also Read: AI Voice Agents-The Complete Guide to Voice Chat

A Quick Overview of the Best AI Voice Automation Platforms

Tool Best for What it does best Key strengths Pricing
Plivo Businesses needing reliable AI phone calls at any scale Automates real customer phone conversations across voice, SMS, and WhatsApp Owns its full telephony stack for ultra-low latency and 99.99% uptime Pay-as-you-go; Enterprise from ~$1,000/month
Bland AI Enterprises running very high call volumes Handles massive inbound and outbound call campaigns Scales concurrent calls with highly programmable logic Custom pricing (contact sales)
Vapi Developers building custom voice agents with BYOK Orchestrates STT, LLMs, and TTS with extremely low latency Model-agnostic, developer-first infrastructure Usage-based, $10 free credit
Retell AI Developers turning LLMs into voice agents fast Converts existing LLMs into real-time phone agents Industry-leading latency with minimal VoIP setup Pay-as-you-go; Enterprise available
Synthflow Agencies and non-technical teams Builds appointment booking and lead intake agents without code Visual builder with deep CRM integrations Pay-as-you-go; Enterprise tier
Poly AI Large consumer brands with complex calls Handles messy, interrupt-driven customer conversations Best-in-class speech understanding for accents and noise Custom enterprise pricing
Cognigy Enterprises with regulated contact centers Automates complex support flows with compliance controls Hybrid NLU + GenAI for safe automation Custom enterprise pricing
Talkie AI Healthcare clinics and medical offices

Top 8 AI Voice Automation Platforms

Plivo

Best for: Businesses that need to automate actual customer phone calls with high reliability and low latency, scaling from simple no-code workflows to complex, programmable enterprise solutions.

Plivo is a voice-first AI agent and cloud communications platform that distinguishes itself by owning and operating its entire telephony, messaging, and AI stack. Unlike many tools that rely on third-party carriers like Twilio, Plivo's single-stack approach significantly reduces latency and improves reliability, boasting 99.99% uptime and compliance with standards like HIPAA, GDPR, and PCI DSS. Small businesses can start quickly with its no-code builder, "Vibe," using plain English instructions, while enterprises can leverage powerful programmable APIs to build complex, multi-channel workflows that share context across voice, SMS, and WhatsApp without ever switching platforms.

Key features

  • Built-In Telephony: Native phone numbers, global connectivity, and SIP trunking without dependence on external carriers.
  • Real-Time Audio Streaming: Streams live call audio via WebSockets for low-latency speech recognition and natural turn-taking.
  • Multi-Channel AI Conversations: Extends agent logic and context across voice, SMS, and WhatsApp for consistent interactions.
  • No-Code AI Agent Builder (Vibe): Allows users to create and deploy voice agents by defining goals and workflows in plain English.
  • Programmable APIs & Integrations: Full control over workflows with well-documented APIs and webhooks to connect with CRMs and internal systems.

Pros

  • Reduced Latency: Owning the telephony infrastructure eliminates hops to third-party carriers, ensuring faster response times.
  • Production-Grade Reliability: Trusted by Fortune 500 companies with a 99.99% uptime guarantee.
  • Seamless Scalability: Start with a small no-code workflow and scale to a fully programmable production system without rebuilding.

Cons

  • Overkill for Basic Needs: Not ideal for businesses that only require a simple IVR or voicemail system with no AI logic.
  • Configuration Required: Not suited for users seeking a pre-scripted, vertical-specific agent with zero configuration.

Pricing

Plivo offers pay-as-you-go pricing on our Professional plan with no monthly commitment, while Enterprise plans start at $1,000 per month for teams that need higher scale and dedicated support.

Bland AI

Best for: Hyper-scalable, enterprise-grade automated phone calls and voice agent workflows where large call volumes and deep customization matter most.

Bland AI is a voice automation platform focused on handling both inbound and outbound phone interactions using realistic conversational AI. Built with enterprise needs in mind, it provides programmable call flows, voice synthesis, and integration hooks that let teams automate complex telephony use cases, such as sales outreach, customer support, appointment reminders, and high-volume engagement, without relying on large human call center teams.

Key features

  • Realistic, human-like voice agents capable of sustaining natural phone conversations.
  • Developer-first APIs and webhook access for custom call logic and integration with CRM/telephony systems.
  • Support for high concurrency and massive call volume automation.
  • Voice cloning and multilingual voice customization options.
  • Pathways or programmable conversation flows to define logic, routing, and call outcomes.

Pros

  • Handles large call volumes reliably without degradation
  • Strong customization through APIs and programmable logic
  • Voice quality is more natural than many competitors

Cons 

  • Steep learning curve for non-technical teams
  • Costs can escalate quickly with high usage

Pricing 

Bland AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

Vapi

Best for:  Developers who want a low-latency orchestration layer to mix and match the best AI models (BYOK) for their specific needs.

Vapi is a dedicated infrastructure that glues together various AI components rather than offering a single black-box solution. It handles the difficult mechanics of voice conversation, such as turn-taking, endpointing (knowing when someone has finished speaking), and latency optimization, while allowing you to plug in any provider you want. This means you aren't locked into a specific voice model; you can use Deepgram for transcription, OpenAI for intelligence, and ElevenLabs for speech, all orchestrated seamlessly by Vapi.

Key features

  • Developer APIs and SDKs for full workflow control
  • Real-time voice orchestration with low latency (sub-600 ms)
  • Plug-and-play with multiple STT, LLM, and TTS providers
  • Support for inbound and outbound voice agents via telephony or web embeds
  • Multilingual support and customizable conversation logic

Pros

  • Allows instant swapping of LLMs, voices, or transcribers as better models hit the market
  • "Bring Your Own Key" model avoids the usage markups typical of all-in-one platforms
  • Clean, modern API with excellent documentation tailored specifically for software engineers

Cons 

  • Not beginner-friendly or no-code
  • Costs increase as external services scale

Pricing

Usage-based, pay-as-you-go pricing with a free $10 credit, plus custom enterprise plans via annual contract.

Retell AI

Best for: Developers seeking the fastest route to convert an existing LLM into a low-latency voice agent.

Retell AI is an AI voice agent platform that lets businesses build, deploy, and manage conversational phone agents that sound human, handle inbound/outbound calls, and automate routine workflows with low latency and high reliability. It combines speech-to-text, LLM intelligence, and telephony integration into a unified system for customer service, lead qualification, scheduling, and more.

Key features

  • Connects to any custom LLM backend (OpenAI, Anthropic) via WebSocket
  • Visual dashboard for testing prompts and voices without code
  • Built-in noise cancellation for clear audio transcription
  • Supports both phone numbers and web-based audio streaming
  • Detailed post-call analytics including latency breakdowns

Pros

  • Visual playground enables testing ideas in minutes
  • Industry-leading latency (often <800ms) for natural pacing
  • Removes the need to build complex VoIP infrastructure

Cons 

  • Complex logic requires hosting and managing your own server
  • Creates a dependency on their proprietary gateway

Pricing

No platform fees with pay-as-you-go usage pricing, plus a custom enterprise plan for high-volume teams.

Synthflow

Best for: Agencies and non-technical teams who need a no-code visual builder to automate appointment setting and lead intake.

Synthflow AI is a voice automation platform designed to help businesses automate inbound and outbound phone interactions using intuitive visual builders and enterprise-grade telephony. It combines speech recognition, natural language understanding, and human-like voice synthesis to create AI agents capable of handling real customer conversations at scale.

Key features

  • Visual drag-and-drop flow builder for designing conversation paths
  • Native deep integrations with GoHighLevel, HubSpot, and Zapier
  • One-click appointment booking and real-time calendar syncing
  • White-labeling capabilities allowing agencies to resell the software
  • Pre-built templates for niche industries like real estate and dental

Pros

  • Enables rapid deployment of functional agents without any coding knowledge
  • Seamlessly automates post-call tasks like updating lead status in CRMs
  • Agency-focused features simplify client management and resale
  • Huge library of templates drastically reduces setup time

Cons 

  • Lacks the granular control and flexibility of code-based solutions
  • Customizing complex backend logic beyond standard integrations is difficult

Pricing

Synthflow's pricing consists of a usage-based "Pay as you go" model that is free to start and a custom "Enterprise" tier for teams handling more than 10,000 minutes per month.

Poly AI

Best for: Large consumer brands (restaurants, hospitality, banking) needing human-like voice assistants that handle messy, complex conversations.

PolyAI distinguishes itself by building voice assistants designed for "customer-led" conversations—meaning the caller can speak freely, interrupt, tell stories, or mumble, and the AI will still understand. Unlike developer-focused tools (like Vapi) or sales-focused tools (like Air.ai), PolyAI is a managed enterprise solution. They use proprietary speech recognition models trained specifically on billions of seconds of conversational data to handle heavy accents and background noise better than off-the-shelf models.

Key features

  • Proprietary speech recognition tuned for names, addresses, and noisy backgrounds
  • Enables free-flowing, customer-led conversations without rigid IVR menus
  • Detects frustration to trigger seamless handoffs with full context
  • Native support for 120+ languages and accents in a single assistant
  • Pre-built voice modules for hospitality, banking, and dining

Pros

  • Handles interruptions and messy speech significantly better than competitors
  • Resolves 80-90% of calls autonomously due to superior understanding
  • Managed service model eliminates hallucination risks for enterprise brands

Cons 

  • High cost makes it unsuitable for small businesses or startups
  • Closed "black box" system requiring their team for all changes

Pricing

Poly AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

Cognigy

Best for: Large enterprises automating complex contact centers with a mix of precise NLU and Generative AI.

Cognigy is an enterprise-grade platform designed to sit directly on top of existing contact center infrastructure (like Genesys or Avaya). It distinguishes itself with a "Hybrid AI" approach, allowing businesses to combine rigid NLU for compliance-heavy tasks (like payments) with Generative AI for natural conversation. This ensures high-stakes customer service interactions are both fluid and strictly controlled.

Key features

  • Visual low-code flow editor for designing complex conversational logic
  • Native integration with major CCaaS platforms (Genesys, Avaya, NICE)
  • Hybrid engine combining traditional NLU with Large Language Models
  • Seamless "Agent Handover" that transfers full call context to human reps
  • Enterprise-grade security and compliance certifications (GDPR, SOC2)

Pros

  • Safely automates highly regulated enterprise processes
  • Preserves context perfectly when transferring calls to humans
  • Deep integrations with backend systems like SAP and Salesforce
  • Scales effectively to handle massive enterprise call volumes

Cons 

  • Implementation is complex and often requires professional services
  • Pricing and architecture are overkill for SMEs or simple use cases

Pricing

Cognigy does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

Talkie AI

Best for: Medical clinics and healthcare providers automating patient scheduling and front-desk triage.

Talkie.ai specializes in voice assistants for the healthcare industry, serving as an intelligent virtual receptionist that handles high call volumes without human intervention. The platform focuses on simplifying patient access by autonomously managing appointment bookings, prescription refills, and routing urgent calls, while offering a user-friendly interface for non-technical staff to manage flows.

Key features

  • Specialized modules for appointment booking and patient triage
  • No-code visual builder for designing conversation scripts
  • Seamless handover to live agents for complex medical queries
  • Multi-language support to serve diverse patient populations
  • Integrations with medical scheduling systems and calendars

Pros

  • Drastically reduces front-desk workload and missed patient calls
  • Pre-trained on healthcare scenarios for better medical context understanding
  • Rapid deployment compared to general-purpose enterprise voice tools
  • Ensures 24/7 availability for patient inquiries

Cons 

  • Heavily optimized for healthcare, making it less ideal for general retail sales
  • Advanced custom integrations usually require enterprise-tier setups

Pricing

Talkie AI does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

How to choose an AI voice automation platform for your business

Choosing the right AI voice automation platform comes down to understanding how it will fit into your team, your workflows, and your growth plans. These questions will help you evaluate options in a practical, business-focused way.

1. Will your team need a no-code tool or a developer-first platform?

This matters because the people building and maintaining the system determine how quickly you can launch and improve it. If your team is non-technical, a no-code platform lets you move faster. If you have engineers and need deep customization, a developer-first tool gives you more flexibility long term.

2. How many calls do you need to support now and as you grow?

Call volume affects both cost and performance. A platform that works well at a small scale may become expensive or unreliable as usage increases, so it is important to choose something that can grow with your business without surprises.

3. How complex do your conversations and workflows need to be?

Some businesses only need straightforward call flows, while others require integrations, branching logic, or real-time actions. The more complex your workflows are, the more important it is to choose a platform that can handle real conversations rather than rigid scripts.

4. How important are voice quality and response speed for your use case?

Natural speech and quick responses make a big difference in how callers perceive the experience. If the AI sounds robotic or pauses too long, it can reduce trust and engagement, especially in customer-facing roles like sales or support.

5. Does the pricing model align with how you plan to use the platform?

Pricing structures vary widely between platforms. Understanding whether you are paying per minute, per call, or per feature helps you estimate costs accurately and avoid unexpected increases as your usage grows.

Try Plivo Free

Exploring AI voice automation should feel straightforward and low-risk. Plivo lets you start with a free trial and complimentary credits so you can test real voice automation use cases without any upfront commitment.

You can create and run AI-driven phone calls using Plivo’s visual tools or APIs, allowing you to see how automated voice interactions behave in real conditions. This includes testing inbound call handling, outbound call flows, and multi-channel automation across voice, SMS, and WhatsApp, all using your own workflows and data.

Starting with a free trial gives you the flexibility to validate performance, reliability, and fit before deciding how extensively you want to adopt AI voice automation across your business.

Start your free trial and build your first AI voice automation experience today.

Feb 16, 2026
5 mins

8 Best AI Voice Agents for Recruitment in 2026

Discover the 8 best AI voice agents for recruitment in 2026. Compare features, use cases, and pricing to automate candidate screening and hiring.

8 Best AI Voice Agents for Recruitment in 2026

Recruitment teams don’t struggle because they lack applicants. They struggle because every job post brings in hundreds of responses, many of them unqualified, and screening them all takes time recruiters don’t have.

AI voice agents help by handling the repetitive, early-stage conversations - screening candidates over the phone, asking the right questions, and routing qualified applicants forward - so recruiters can focus on real hiring decisions.

In this guide, we’ve curated the top AI voice agents for recruitment, based on what actually matters. Let’s begin.

A Quick Overview of the Top AI Voice Agents for Recruitment

Tool Best for What it does best Key strength Pricing
Plivo Recruitment teams that want to run real AI voice agents on actual phone calls End-to-end AI voice agents built on native telephony Owns telephony + AI stack, low latency, high reliability Pay-as-you-go (Professional); Enterprise starts at $1,000/month
Lindy Lean recruiting teams that want fast AI voice automation Voice agents for calls, follow-ups, and scheduling Quick setup, strong for coordination tasks Free tier available; paid plans from $49.99/month
Twilio Engineering-led teams building custom AI voice recruiters Programmable voice infrastructure Maximum flexibility and global scale Usage-based, approx. $0.008–$0.014/min
HeyMilo Staffing teams running large-scale AI interviews AI-led voice interviews with scoring Scalable, structured screening Custom pricing (sales-led)
Synthflow HR teams wanting no-code AI voice workflows Build custom voice agents visually No-code flexibility, modular flows Pay-as-you-go; Enterprise for high volume
CloudTalk Teams needing a calling platform with AI automation AI voice agents + call center tooling Strong dialing, analytics, global coverage From $25/user/month (annual billing)
Talvin Teams focused on screening and reference checks AI voice interviews + automated references Structured, qualification-first hiring $175–$750/month
Voiceflow Product-led teams that want to design and control AI voice logic Build AI agents using knowledge bases and workflows Strong conversation design and collaboration Free plan; paid from $60–$150/month

Top 8 AI Voice Agents for Recruitment

Plivo

Best for: Recruitment teams and hiring platforms that want to run real AI voice agents on actual phone calls, not demos or chat-only experiences.

Plivo is a voice-first AI agent and cloud communications platform built to automate real phone conversations at scale. Unlike many AI voice tools that depend on external telephony providers, Plivo owns and operates its telephony, messaging, and AI layers as a single stack. This gives teams more consistent call quality, lower latency, and better reliability as volume increases.

For recruitment use cases, this matters because screening calls, qualification conversations, and candidate follow-ups need to work predictably. Teams can start quickly using Plivo’s no-code AI agent builder, Vibe, and then add deeper programmable control through APIs as workflows grow more complex, without switching platforms.

Plivo is trusted by Fortune 500 companies worldwide, delivers 99.99% uptime, and complies with standards such as HIPAA, GDPR, SOC 2, PCI DSS, and STAR, making it suitable for high-volume and regulated hiring environments.

Key features

  • Build AI voice agents on real phone calls: Plivo lets teams build AI agents that answer, route, qualify, and complete conversations on inbound and outbound phone calls using its native voice infrastructure.
  • No-code AI agent builder (Vibe): Vibe allows teams to create and deploy AI voice agents using plain-English instructions. Recruiters can define goals, workflows, and actions without writing code, then iterate as hiring needs evolve.
  • Built-in telephony (not third-party): Phone numbers, global connectivity, call routing, recording, and SIP trunking are native to Plivo. This avoids reliance on external carriers and helps maintain low latency and high uptime.
  • Real-time audio streaming: Plivo streams live call audio over WebSockets to AI runtimes, enabling low-latency speech recognition and responses, natural turn-taking, and interruption handling during conversations.
  • Programmable voice and messaging APIs: Well-documented APIs and SDKs give teams full control over calls, messages, verification, number masking, and workflows, making it easy to integrate AI agents with ATSs, CRMs, and internal systems.
  • Multi-channel AI conversations: The same agent logic can run across voice, SMS, WhatsApp, and chat, with shared context across channels so candidates do not have to repeat themselves.

Pros 

  • Reliable performance at scale: Users consistently cite stability and uptime, even with high call volumes.
  • Strong telephony control: Teams value having direct ownership of routing, numbers, and call behavior.
  • Flexible for both no-code and API users: Works well for recruiters and engineering teams alike.

Cons

  • More capability than very simple use cases require: Smaller teams may not use the full platform depth.
  • Advanced workflows benefit from upfront planning: Complex agent logic requires thoughtful setup. 

Pricing

Plivo offers pay-as-you-go pricing on the Professional plan with no monthly commitment, while Enterprise plans start at $1,000 per month for teams that need higher scale and dedicated support.

Lindy 

Best for: Recruiting teams that want a flexible, AI voice agent to handle candidate calls, follow-ups, and interview scheduling without heavy engineering work.

Lindy is an AI agent platform that lets recruiters deploy voice-enabled AI assistants to manage candidate communication across phone calls, calendars, and workflows. Rather than being a pure telecom infrastructure provider, Lindy focuses on task-oriented AI agents that can talk to candidates, coordinate schedules, and take action across tools like email and calendars. This makes it especially useful for lean recruiting teams that want automation without building everything from scratch.

Key features

  • Place and receive natural-sounding phone calls with candidates for screening, follow-ups, and confirmations
  • Coordinates availability and books interviews directly on connected calendars
  • AI agents can call candidates, send emails, update records, and trigger next steps automatically
  • Connects with calendars, email, and internal tools to keep recruiting workflows in sync
  • Escalates conversations to a recruiter when the AI detects uncertainty or complex questions

Pros

  • Recruiters can launch AI voice workflows without deep technical setup
  • Especially effective for scheduling, rescheduling, and candidate follow-ups
  • Can reason across steps instead of just asking static screening questions

Cons

  • Lacks deep hiring metrics or ATS-native reporting
  • Less granular call routing and voice infrastructure control than CPaaS platforms 

Pricing

Lindy offers a free plan with 400 credits per month. Paid plans start at $49.99 per month.

Twilio 

Best for: Engineering-led recruiting teams that want to build highly customizable AI voice agents on top of enterprise-grade voice and messaging infrastructure.

Twilio is a cloud communications platform that provides programmable APIs for voice calls, SMS, and messaging. In recruitment, it’s often used as the underlying infrastructure for AI voice agents that handle candidate screening calls, interview scheduling, reminders, and follow-ups. Rather than offering ready-made recruiting agents, Twilio gives teams the building blocks to design custom voice workflows tailored to their hiring process.

Key features

  • Twilio lets you design exactly how calls are placed, routed, recorded, and escalated, giving full control over the candidate calling experience.
  • Built-in support for international phone numbers, SMS, and voice delivery makes it suitable for distributed or global hiring.
  • Twilio integrates cleanly with speech-to-text, text-to-speech, and large language models to power conversational AI agents.
  • Voice events can trigger downstream actions in ATSs, CRMs, calendars, or internal systems.

Pros

  • You’re not constrained by predefined workflows—every part of the voice experience can be tailored to your hiring process.
  • Designed to handle high call volumes with strong uptime and telecom stability.
  • Suitable for advanced or global recruiting operations where off-the-shelf tools fall short.

Cons

  • Building an AI voice recruiter with Twilio requires technical resources and ongoing development.
  • As call volume and automation increase, usage-based pricing can become expensive.

Pricing

Usage-based, pay-as-you-go pricing starting at roughly $0.008–$0.014 per minute for voice calls, with additional costs for phone numbers and advanced features.

HeyMilo

Best for: Recruiters and staffing teams that want AI-powered voice interviews and automated candidate screening at scale. 

HeyMilo is a recruitment platform built around conversational AI voice and multimedia interviewing, designed to automate candidate engagement, screening, evaluation, and structured interviews. Instead of just asking preset questions, HeyMilo’s AI adapts dynamically to candidate responses and delivers data-backed insights tailored to each role. 

Key features

  • Natural two-way spoken interviews that adapt to candidate responses and assess fit.
  • Contacts applicants via phone, web voice/video, SMS, email, and WhatsApp.
  • Provides structured interview reports and scoring to inform hiring decisions.
  • Works with existing applicant tracking and HR systems to sync data.
  • Enables interviews and outreach in multiple languages for global recruiting.

Pros

  • Can conduct hundreds of interviews simultaneously, easing burden on recruiters. 
  • Automated scoring and structured interviews help reduce manual variation. 

Cons

  • AI may struggle with very open-ended or highly contextual responses that a human interviewer would catch. 
  • Teams need to configure questions and scoring to fit specific roles and workflows. 

Pricing

HeyMilo does not publish pricing publicly, and you need to contact their sales team for current plans and quotes.

Synthflow

Best for: HR departments at mid-sized companies looking to automate interview scheduling and FAQ handling.

Synthflow is a no-code conversational AI platform that lets users design, launch, and manage AI voice agents to automate phone interactions. Rather than providing a ready-made recruiter bot, Synthflow gives teams a visual builder where they can create custom voice workflows. It emphasizes flexibility and usability, making it suitable for recruiting teams that want to own their own voice agent logic without writing code.

Key features

  • You can design modular voice flows with a no-code builder where specialized "subflows" act as independent agents to manage complex logic, such as a "Verification Agent" for candidate ID or an "Appointment Agent" for booking interviews.
  • Provides enterprise-grade telephony integrations to ensure reliable inbound and outbound calling.
  • A dedicated environment to test recruitment scripts and agent responses before they go live with real candidates.
  • Offers live insights into active calls, allowing recruitment managers to track performance and candidate engagement as it happens.
  • Allows for the refinement of the AI’s underlying data to ensure the recruiter's brand voice and industry-specific terminology are accurate.

Pros

  • Teams can build and iterate voice agents without engineering resources.
  • Works for screening, candidate engagement, follow-ups, and scheduling.
  • Built to manage higher call volumes as hiring needs grow.

Cons

  • Requires manual building of hiring-focused flows and templates.
  • Deep conversational logic and integration workflows benefit from thoughtful design and testing.

Pricing

Synthflow's pricing consists of a usage-based "Pay as you go" model that is free to start and a custom "Enterprise" tier for teams handling more than 10,000 minutes per month.

CloudTalk

Best for: Teams that need a cloud-based calling platform with AI voice agents and automation.

CloudTalk is a cloud call center platform that combines VoIP calling with AI-powered automation and voice agents. While it’s not built exclusively for recruitment, its AI voice agents, smart dialers, and call routing features make it well-suited for hiring teams that rely heavily on phone communication. Recruiters can use CloudTalk to automate outbound candidate calls, handle inbound inquiries, and track call performance through built-in analytics and conversation intelligence.

Key features

  • Virtual voice agents that can autonomously answer and place calls, handle routine interactions, and support self-serve caller experiences. 
  • Dialers, automated routing, IVR menus, and parallel dialing to manage large outbound and inbound call volumes. 
  • Local numbers in 160+ countries with VoIP calling, SMS, and messaging options. 
  • Connects with CRMs, helpdesks, and workflow systems for synced activity and inbox-to-call continuity.

Pros

  • Combines calling, campaign automation, and AI workflows in a single system. 
  • Support for international numbers and multi-region operations. 
  • Built-in conversation intelligence and analytics help teams understand patterns and coach more effectively. 

Cons

  • It’s primarily a call center and sales/support voice platform, so recruiters may need extra configuration for hiring use cases. 
  • Broad call center capabilities can overwhelm teams only seeking simple voice agent recruiting tools.

Pricing

CloudTalk offers user-based subscription plans for its core calling platform, starting at $25 per user/month when billed annually, with higher tiers adding advanced features like analytics and automation.

Talvin 

Best for: Hiring teams that want an AI voice recruiter focused on structured screening and automated reference checks, not just interview scheduling or call automation.

Talvin is an AI recruitment platform built around voice-based candidate screening and reference checks. Its AI conducts structured, conversational interviews over voice to assess communication, experience, and role fit, then follows up with automated reference calls to gather standardized feedback. Talvin is positioned less as a general-purpose voice agent and more as a screening and validation layer that helps recruiters qualify candidates before human interviews. 

Key features

  • Talvin conducts structured phone interviews to assess candidate fit early, so recruiters aren’t reviewing unqualified applicants.
  • Instead of manual follow-ups, Talvin collects reference feedback automatically and delivers it in a standardized format.
  • Interview questions and scoring are tailored to each role, keeping evaluations consistent across candidates.
  • Recruiters receive clear interview and reference reports rather than raw call recordings.

Pros

  • Designed specifically to screen and validate candidates, not just move them through a funnel.
  • Eliminates one of the most time-consuming and error-prone steps in hiring.
  • Standardized interviews and references make it easier to compare candidates objectively.

Cons

  • Not intended for outreach campaigns, scheduling-only workflows, or high-volume dialing.
  • Often paired with an ATS or sourcing platform rather than used end-to-end.

Pricing

Talvin’s plans start at $175/month and scale up to $750/month, based on interview volume and hiring needs.

VoiceFlow

Best for: Product-led recruiting teams that want to design and control the logic of AI voice conversations before deploying them on phone calls.

Voiceflow is a collaborative platform where teams design, develop, and launch AI agents using their preferred models and integrations. In practice, you build an agent by first creating a knowledge base, then adding workflows that define what the agent should do, integrating third-party tools through APIs, and finally launching the agent through Voiceflow’s web chat UI or the Dialog API.

For recruitment, this is useful when you want an agent that can answer candidate questions, guide screening conversations, and trigger workflow steps like collecting details, confirming availability, or handing off to a human, all while staying consistent with your hiring process.

Key features

  • Import documents and data so the agent answers using curated, controlled information rather than guessing.
  • Create multi-step tasks the agent can complete, so conversations can lead to actions, not just responses.
  • Connect the agent to third-party services using Voiceflow Functions and API blocks.
  • Deploy using Voiceflow’s web chat UI or build your own interface using the Dialog API.
  • Designed for teams to build and iterate together, rather than working in isolated scripts.

Pros 

  • Strong control over how screening and interview conversations are structured.
  • Teams can refine conversations without touching telephony systems.
  • Recruiters, designers, and product teams can work together on flows.

Cons 

  • Requires a telephony platform to place and receive calls.
  • Teams must design screening logic from scratch.

Pricing 

Voiceflow offers a free Starter plan, with paid plans starting at $60/month (Pro) and $150/month (Business), while Enterprise pricing is custom for high-volume teams.

Questions to ask before choosing an AI voice agent for recruitment

1. Who actually owns the calling infrastructure?

When evaluating an AI voice agent, one of the first things to understand is how calls are handled behind the scenes. Some platforms rely heavily on third-party telephony providers, while others manage their own calling infrastructure more directly.

This distinction matters because it affects call quality, routing control, and reliability as usage grows. Tools with tighter control over their telephony stack tend to behave more predictably, especially when call volume increases or issues need to be diagnosed quickly.

2. Does the agent respond quickly enough to feel natural?

Voice conversations depend on timing. Even small delays between a candidate’s response and the agent’s reply can make the interaction feel uncomfortable or disjointed.

A well-designed AI voice agent should respond promptly and consistently throughout the conversation. This usually reflects how well speech recognition, language processing, and voice generation work together in real time. If responses feel slow or uneven during a demo, that friction will likely show up even more in real recruiting scenarios.

3. Is the product actually designed for recruitment conversations?

Recruitment is not a generic use case. Screening candidates requires structured questions, follow-ups based on previous answers, and clear decision points about what happens next.

Some voice agents are flexible but require significant customization to support hiring workflows. Others are built with recruitment logic in mind from the start. The difference shows up in how easily the agent can handle screening, availability checks, and smooth handoffs to human recruiters.

4. How does it handle things going off script?

Real conversations are rarely perfect. Candidates interrupt, misunderstand questions, or give incomplete answers.

An effective AI voice agent should be able to handle these moments without breaking the experience. This includes asking for clarification, continuing the conversation naturally, or exiting gracefully when needed. Systems that cannot manage these situations tend to feel fragile in real-world use.

5. Will it still work when hiring volume increases?

Hiring needs fluctuate. A tool that performs well for a small number of calls may struggle when activity ramps up.

It is important to understand how the platform behaves under higher load, both technically and operationally. This includes call quality, reliability, and whether usage scales in a predictable way. A system that handles growth smoothly allows recruiting teams to expand outreach without introducing new problems.

Try Plivo free

Getting started with AI voice agents for recruitment doesn’t need to be complicated or risky. With Plivo, you can sign up for a free trial account and get free credits to test real AI-powered phone calls, without committing upfront or changing your existing hiring workflows.

You can experiment with live screening calls, candidate follow-ups, and interview coordination using Plivo’s no-code tools or APIs. This lets you simulate real recruiting scenarios with your own data and logic before deciding how deeply you want to scale automation across voice, SMS, and WhatsApp.

Get started with your free trial today and begin building your first AI voice agent for recruitment.

FAQs

What is an AI voice agent in recruitment?

An AI voice agent is a system that conducts phone conversations with candidates to handle tasks like screening, availability checks, and interview scheduling.

Can AI voice agents replace recruiters?

No. They are designed to support recruiters by automating repetitive early-stage tasks, not to replace human decision-making.

Are AI voice agents reliable for candidate screening?

They work well for structured, rule-based screening, but nuanced evaluation and final decisions should still be handled by humans.

What should companies look for when choosing an AI voice agent?

Key factors include call quality, response speed, recruitment-specific workflows, and the ability to scale reliably with hiring volume.

Feb 16, 2026
5 mins

Best AI Voice Agents for E-commerce (2026): Top Platforms Compared

Compare the best AI voice agents for e-commerce in 2026. See which platforms handle real calls, integrate with your stack and scale reliably.

Best AI Voice Agents for E-commerce (2026): 

Top Platforms Compared

E-commerce brands don’t lose customers because of poor products, they lose them because conversations aren’t fast enough. Buyers now expect real-time assistance for order status, delivery issues, returns and payments, often beyond business hours. 

That’s where AI voice agents help. Unlike IVRs or basic bots, modern voice agents can understand natural speech and intent, answer calls instantly, pull order data from your systems, resolve common issues and hand off to humans when needed. For e-commerce teams, this means fewer missed calls, lower support costs, and faster resolution.

This list has analysed the best AI voice agents for e-commerce in 2026, focusing on how they actually perform in production, what role they play in your stack and which types of teams they truly fit.

Platform Comparison

Top 10 AI voice agents for E-commerce (2026)

Platform Voice Handling Telephony Ownership E-commerce Integrations Multi-Channel Continuity Production Readiness
Plivo Real-time inbound & outbound Native Native + API-driven Voice, SMS, WhatsApp, chat High (built for scale)
Aircall Inbound & outbound calls Native (cloud phone system) Strong CRM/helpdesk Voice + limited messaging High
Dialpad AI Human calls with AI assist Native CRM-focused Voice-centric High
Voiceflow Voice via integrations Integrated (Twilio/Vonage) API-based Voice + chat Medium
Cognigy Enterprise contact-center voice Integrated (CCaaS partners) Enterprise systems Voice + digital channels High
Talkdesk Contact-center voice automation Native (CCaaS) Retail CX tools Voice + digital channels High
Five9 IVA IVA layered on CCaaS Native (CCaaS) Enterprise CRM Voice-first High
Kore.ai Conversational AI platform Integrated Broad enterprise Voice + chat Medium
Replicant Autonomous inbound voice Integrated Limited e-commerce depth Voice-only Medium
Ada Chat-first, voice expanding Integrated E-commerce helpdesk Chat + emerging voice Medium

Plivo

Primary Role in Your E-commerce Stack

  • Acts as a backbone for customer-facing automation across order status, delivery issues, returns, COD confirmations and payment follow-ups.
  • Replaces basic IVRs and overflow call handling with actual AI-driven conversations that feel natural and can resolve issues or escalate intelligently.
  • Serves as an AI voice agent platform and a communications layer, not just a pre-programmed bot or a basic call tool. 

How It Works in Practice

  • Runs on native, carrier-grade telephony not dependent on third-party calling plugins, thus reducing latency and call failures.
  • Supports real-time inbound and outbound voice, including barge-in, transfers, call recording and queueing.
  • Lets you build custom voice agents using no-code instructions (Vibe) or programmatically via Voice, SMS and WhatsApp APIs.
  • Handles multi-channel engagement from one platform, making it easier to maintain customer context.
  • Integrates into backend systems via webhooks and APIs, so agents can fetch order data, update CRMs, trigger refunds or log tickets.
  • Scales globally with direct carrier connectivity and 99.99% uptime, which matters during sales spikes and seasonal traffic.
  • Offers easy integrations with CRMs and data tools and e-com apps like Shopify and WooCommerce.

Smart choice if you

  • Need reliable, real-time voice automation for customer support or sales in e-commerce.
  • Need HIPAA, GDPR, PCI DSS, SOC 2 compliance.
  • Want to avoid handling different telephony, AI and messaging vendors.
  • Expect call volume spikes during promotions, launches or holidays.
  • Plan to expand beyond voice into SMS or WhatsApp without changing platforms.

Not a fit if you

  • Only want a simple chatbot or basic call routing with no backend logic.
  • Need a fully packaged, zero-configuration voice bot with no customization.
  • Don’t plan to use voice as a serious support or revenue channel.
  • Want built-in analytics dashboards without integrating your own reporting tools.

Aircall

Primary Role in Your E-commerce Stack

  • Aircall is a cloud-based business phone and customer communications platform that encapsulates voice calls, messaging, contact-center workflows and AI-powered tools to help sales and support teams manage inbound and outbound customer conversations from a single hub.
  • Designed to replace traditional desk phones and stand-alone VoIP systems with a modern unified system that supports direct calling, routing, conferencing and analytics without infrastructure.
  • Aircall’s AI Voice Agent sits within the platform to automate basic call handling, answer inbound calls using natural language, capture caller details and hand off to humans with customer context.

How It Works in Practice

  • Its AI Voice Agent can handle inbound calls 24/7, respond using natural language, capture caller details or FAQs, and escalate with context. 
  • Aircall’s broader AI tooling (often sold as an add-on) includes call summarization, transcription, sentiment analysis, action items, key topic recognition and real-time coaching insights to boost team performance and intelligence.
  • Aircall integrates deeply with CRMs and helpdesk tools such as Salesforce, HubSpot, Zendesk, Shopify, Gorgias, Intercom, Zoho, Slack and more.
  • Supports smart call routing, IVR menus, queueing, power dialers and contextual pop-ups that help agents see caller history and reduce manual steps.
  • In addition to voice calls, Aircall can connect WhatsApp messaging with your phone numbers, allowing teams to manage calls, texts, voicemails and WhatsApp messages from one unified workspace.

Smart choice if you

  • Want a cloud phone system that replaces traditional telephones and integrates voice + messaging + CRM in one place.
  • Are an SMB or mid-market team looking for easy setup and deep CRM/helpdesk integration with real-time call logging and analytics.
  • Want AI insights such as call summaries, sentiment analysis and action items tagging to support coaching and quality.

Not a fit if you

  • Are looking for standalone, autonomous voice agents that can handle complex transactional workflows (like order lookup, 2-way payment flows, or deep e-commerce logic) without human reliance. A lot of features in Aircall are paid add ons.
  • Want carrier-grade telephony control with full low-level API access. 
  • Require multi-channel unified conversational state that seamlessly moves between voice, SMS, WhatsApp, and web chat without separate configurations. Aircall integrates channels but isn’t designed as an omnichannel conversational AI platform at the same depth as standalone bot stacks.

Dialpad AI

Primary Role in Your E-commerce Stack

  • Dialpad is an AI-enhanced unified communications and contact-center platform built on VoIP telephony that combines voice calls, messaging, meeting tools and AI insights into one app.
  • Its AI layer focuses on increasing support and sales team productivity by transcribing calls, summarizing conversations, analyzing sentiment and providing live assistance to human agents rather than purely replacing them.
  • For e-commerce teams, Dialpad helps streamline customer support calls, sales conversations and agent workflows.

How It Works in Practice

  • Dialpad’s AI layer is built into its communications platform so transcription, summaries, sentiment tagging and insights happen automatically during calls and meetings. 
  • Live coaching and assist cards support tailored guidance during conversations, helping teams improve performance and consistency.
  • Its AI Agent and Generative AI features can provide answers from integrated knowledge bases and assist with repetitive tasks like scheduling or information lookups. Although this operates within a supervised environment rather than as a fully autonomous consumer voice bot.
  • Dialpad integrates with CRMs and support systems such as Salesforce, Zendesk, and others allowing call data and AI insights to sync into broader e-commerce workflows but developers/administrators need to configure these links during setup.

Smart choice if you

  • Want a combined AI-assisted communications and contact-center platform that brings voice, meetings and messaging into a single system with powerful transcription and insights.
  • Run a support or sales team that benefits from live coaching, post-call summaries, sentiment analysis, and automated QA workflows.
  • Are okay with a human-centric workflow where AI helps agents rather than fully automates customer calls end-to-end.

Not a fit if you

  • Want a standalone autonomous voice agent that handles inbound and outbound calls entirely without human support.
  • Need native telephony automation APIs for deep programmatic control or highly customized voice bots.
  • Require multi-channel conversational continuity across voice, SMS, WhatsApp and other messaging in a single automated AI experience.

Voiceflow

Primary Role in Your E-commerce Stack

  • Voiceflow is a collaborative low-code/visual AI agent platform that helps teams build and deploy custom voice and chat agents without heavy engineering. Designed to automate customer conversations from support to transactional workflows using drag-and-drop flows and business data logic.
  • Voiceflow puts the workbench in your hands, giving you control over conversational design, logic, and integrations across channels.
  • In e-commerce, Voiceflow is often used for support hotlines, FAQ automation, lead qualification, virtual assistants and prototype voice interactions especially where you want custom behavior tied to backend systems.

How It Works in Practice

  • You design conversations using a visual workflow canvas that supports branching logic, variables and external API calls making it easier to map complex dialogues.
  • Agents can be trained on your business data like product info, order records, policies via a scalable vector database.
  • Voiceflow doesn’t host telephony itself; instead it connects through providers like Twilio or Vonage so your voice agent can receive inbound calls and make outbound calls.
  • Voiceflow supports team collaboration, shared templates and component reuse so designers and developers can iterate rapidly. 

Smart choice if you

  • Want a no-code/low-code platform to design voice and chat workflows without deep engineering.
  • Need highly customized conversational logic tied to your backend systems or data.
  • Run cross-functional teams that must collaborate on agent design and iteration quickly.
  • Plan to automate support workflows, order inquiries, FAQs or lead capture across voice and chat.

Not a fit if you

  • Need out-of-the-box telephony automation with native phone infrastructure. Voiceflow relies on third-party telephony providers.
  • Want a fully autonomous voice agent that runs on phone lines without manual integration setup.
  • Require production-ready voice performance metrics or carrier-grade latency guarantees.
  • Are focused on voice only without chat or UI context.

Cognigy

Primary Role in Your E-commerce Stack

  • Enterprise grade conversational AI platform designed to automate complex customer interactions across voice, chat and messaging by building intelligent AI agents that understand, decide and resolve user intent.
  • It’s commonly used in contact centers, service automation and omnichannel workflows where customers use multiple channels (voice, text, social) and expect consistent responses.
  • For e-commerce, Cognigy helps automate service touchpoints like support conversations, order inquiries, returns handling and FAQs with AI agents that can grasp intent and navigate conversations dynamically.

How It Works in Practice

  • Cognigy uses Generative AI, NLP and machine learning to build agents that do more than keyword matching. They can reason through dialogue, recall context and pursue goals within interactions.
  • Agents can be deployed across voice calls, chat widgets, messaging and social platforms with shared logic, enabling seamless context.
  • Cognigy supports multilingual interactions supporting 100+ languages and large concurrent loads of 25K+ interactions, making it suitable for global e-commerce brands managing peak traffic.
  • Built-in dashboards and data feeds (OData) let teams monitor performance metrics, conversation flows and optimize based on real usage.

Smart choice if you

  • Need robust omnichannel AI automation across voice, chat and messaging with shared logic.
  • Operate a large, international e-commerce operation with high volume and multilingual support requirements.
  • Want enterprise-grade integration with existing contact center systems, CRM, ticketing tools and backend APIs.
  • Have a technical team or partner to configure, train and maintain sophisticated AI workflows.

Not a fit if you

  • Need a standalone plug-and-play voice bot.
  • Your priority is simple, requiring phone-only automation.
  • You want the fastest path to production with zero customization, setup and customization of NLU, dialogs and backend connections take planning and expertise.

Talkdesk

Primary Role in Your E-commerce Stack

  • Talkdesk is a cloud contact center and customer experience automation platform that helps businesses manage and optimize customer interactions across voice, chat, SMS and digital channels from one unified system. It’s a full CX automation ecosystem with AI agents layered in for intelligent self-service and agent support.
  • The platform’s core mission is to automate customer experience workflows end to end, reducing manual work and improving resolution times while keeping context and empathy in place.
  • For e-commerce teams, Talkdesk is often used to handle support hotlines, returns calls, order inquiries, live agent augmentation and self-service using both human and AI capabilities.

How It Works in Practice

  • Talkdesk’s Autopilot and AI Agents use generative AI and conversational intelligence to automate self-service across voice and other channels 24/7. They can interpret customer intent, respond naturally and escalate when needed.
  • Built-in tools like Talkdesk Navigator help with real-time routing and prioritizing inquiries based on context and integrations with CRMs and backend systems let agents retrieve and update order or customer data during automation.
  • The platform includes call monitoring, analytics, sentiment scoring and performance insights to help teams improve support quality and train agents more effectively. 

Smart choice if you

  • Need an enterprise-grade contact center platform that blends automation with human support across channels.
  • Want AI-assisted self-service and agent augmentation rather than just basic scripted bots.
  • Run support or service teams with high call volumes where routing, analytics and quality management are key.

Not a fit if you

  • Are looking for a standalone e-commerce voice bot system. Talkdesk is primarily a contact center platform with AI layers.
  • Want simple phone automation without broader CX complexity.
  • Need lightweight plug-and-play voice bots with minimal integration work.

Five9

Primary Role in Your E-commerce Stack

  • Five9 is a cloud-based contact center platform aimed at automating and optimizing customer service interactions across voice, chat, SMS and other channels. At its core, it helps brands deliver connected, personalized experiences at scale using AI and unified CX tools.
  • Its Intelligent Virtual Agent (IVA) and AI Agents are conversational automation layers that can handle self-service interactions like routine inquiries.
  • For e-commerce, Five9 is typically used to automate order status, FAQs, returns and basic support calls, functioning as shared infrastructure for AI support rather than a standalone voice-only bot.

How It Works in Practice

  • Five9’s AI Agents and Intelligent Virtual Agent (IVA) use conversational AI and natural language understanding to automate routine interactions across voice and digital channels. 
  • AI Agents combine generative AI, NLP and conversational logic to detect intent, extract key details, tap knowledge integration and deliver customized responses reducing the need for human intervention on routine issues. 
  • Five9’s IVA builder offers no-code visual workflows and templates so non-technical teams can configure self-service paths for common scenarios like order lookup, appointment scheduling and password resets.
  • Voice quality and presentation are improved with tools like Virtual Voiceover, which can generate high-fidelity, human-sounding speech prompts on the fly, including custom branded voices. 

Smart choice if you

  • Need a cloud contact center platform that can centralize voice and digital support and automate repetitive inquiries across channels.
  • Want conversational AI that blends generative responses with scripted logic and can escalate smoothly to human agents.
  • Care about multi-modal customer journeys that span across voice, chat, SMS and rich media in a unified experience.

Not a fit if you

  • Are looking for a standalone, lightweight voice‐only AI bot that you can launch with minimal integration.
  • Want to own telephony infrastructure or programmable telephony APIs. Five9 is a packaged cloud service, not a telephony-centric CPaaS.
  • Need simple DIY voice automation for a small e-commerce team without contact center context.

Kore.ai

Primary Role in Your E-commerce Stack

  • Enterprise grade conversational AI platform designed to build, deploy and manage intelligent AI agents across voice, chat and digital channels with focus on service automation, workflow orchestration and customer support experiences.
  • It supports brand-aligned, natural voice interactions capable of understanding context, interruptions and topic changes for realistic conversations.
  • For e-commerce, Kore.ai offers Retail-focused AI solutions that help deliver 24/7 self-service, answer product and order queries and assist with purchase decisions without human agents.

How It Works in Practice

  • Agents can operate on voice calls, chat, messaging apps and contact center systems while preserving conversation context across channels.
  • The platform includes a visual AI agent builder and orchestration tools, letting both business users and developers design and manage intelligent workflows.
  • Kore.ai provides a marketplace with 200+ pre-built enterprise templates to speed up deployment and reduce development time.
  • Supports deep integrations with data sources, CRM and backend systems so agents can retrieve, update and act on real business data.

Smart choice if you

  • Want a powerful, enterprise-grade conversational platform that lets you build custom, complex voice and chat automations across channels.
  • Need deep integrations with backend systems, CRM or order management data so AI can handle conditional logic in real customer workflows.
  • Have technical resources to configure, extend and govern AI agents for complex business logic.

Not a fit if you

  • Want a prebuilt, lightweight plug-and-play AI voice bot for simple e-commerce queries with minimal integration.
  • Need standalone telephony infrastructure or a voice bot you can launch in minutes without orchestration tooling.
  • Are looking for pure voice automation without multichannel context or engineered workflows.

Replicant

Primary Role in Your E-commerce Stack

  • Replicant is an enterprise-grade conversational AI platform designed to automate routine customer interactions across voice, chat and SMS. Supports worflow in high-volume support environments where call center load is heavy and manual handling slows response times.
  • Its AI agents aim to resolve inbound customer interactions autonomously using natural language understanding and context-aware dialogue to mimic human responders.
  • For e-commerce, this means it can handle order inquiries, returns, delivery status, account questions and FAQs without human agents for the bulk of interactions, freeing up seniors for complex cases. 

How It Works in Practice

  • The platform’s “Thinking Machine” uses speech recognition (ASR), natural language understanding (NLU) and agentic reasoning to interpret and act on customer speech in real time.
  • Replicant can automatically handle inbound voice calls by listening, replying, asking for follow-ups and escalating when needed, aiming to resolve up to 80% of interactions without human intervention.
  • The platform encapsulates conversation intelligence, automated Q&A along with insights into performance, turning every conversation into actionable data to offer better service quality and AI behavior over time. 
  • Replicant projects often go from pilot to production in weeks with pre-built conversational components.

Smart choice if you

  • Need 24/7 automation of high volumes of inbound customer calls and messages with a single conversational engine.
  • Have complex support workflows including returns, order changes, delivery status, account questions and need reliable voice automation without building from scratch.
  • Operate at mid-to-enterprise scale where automation can dramatically cut handling times and want to reduce load on human agents.

Not a fit if you

  • Only need lightweight or simple automation. Businesses that want a basic interactive voice bot with minimal backend integration may find Replicant overbuilt.
  • Don’t plan to integrate with existing CRM/order systems.
  • Want an extremely cheap, no-setup-required solution.

Ada

Primary Role in Your E-commerce Stack

  • Ada is an AI customer experience platform built to automate service interactions using AI customer service agents that resolve inquiries across channels such as chat, voice, email and messaging. It’s designed as an omnichannel self-service automation platform rather than a simple scripted bot. 
  • The core platform lets brands deploy AI agents that autonomously resolve questions, reducing reliance on human agents for repetitive support and freeing up teams to focus on complex e-commerce tasks.
  • Unlike narrow chatbots, Ada’s agents are built to interpret context, manage multi-step processes and handle inquiries across multiple languages and channels.  

How It Works in Practice

  • Users can build Playbooks (guided SOPs) that instruct AI how to handle specific multi-step processes at scale and refine these based on testing and feedback.
  • Supports 50+ languages and is designed so that agents learn and improve through simulations, real-world performance analysis and optimization tools. 
  • You can simulate conversations, test variations, analyze outcomes and optimize agent behavior before and after launch, giving more control over performance outcomes.
  • Though it doesn’t have telephony-native to its own, Ada provides open APIs and backend connectors for integrating CRM, order systems and e-commerce platforms to fetch and act on real customer data during interactions.

Smart choice if you

  • Want AI customer service automation across channels with the same logic and context continuity.
  • Need to reduce support costs and handle volume spikes without scaling human teams.
  • Value multilingual support and contextual reasoning above rigid script-based replies.
  • Prefer tools with visual Playbooks and optimization workflows that don’t require deep coding.

Not a fit if you

  • Want true telephony-native voice automation. Ada typically integrates with voice channels rather than running native telephony infrastructure.
  • Are looking for a simple, lightweight voice bot with minimal configuration.
  • Need ultra-low-latency, call-centric performance guarantees.

FAQs

  1. What can an AI voice agent realistically handle today?

AI voice agents can handle order status checks, delivery updates, return/refund questions, COD confirmations, appointment scheduling, basic FAQs and call routing. Complex disputes, escalations or edge cases are recommended to move to a human agent.

  1. Do I need to replace my entire support team to use AI voice agents?

No. most teams use AI voice agents as a first line of response to handle volume and after-hours calls. Human agents step in only when needed with full context delivered from the AI conversation.

  1. How hard is it to set this up for an e-commerce business?

It depends on the platform. Some tools require stitching together telephony, bots and integrations. Others provide native voice, APIs and messaging in one system. Expect anything from a few days for basic flows to a few weeks to make deep integrations.

  1. Can AI voice agents connect to my order system or CRM?

Yes, if the platform supports APIs or native integrations. This is critical for real use cases like fetching order status, logging calls or updating tickets. Without backend access, voice agents are limited to surface-level conversations.

  1. Is voice really better than chat for e-commerce support?

Voice may not be better for everything but it’s prompt and efficient for urgent issues. Customers call when orders are delayed, payments fail or something goes wrong. AI voice agents help you answer instantly instead of losing the customer to hold music. 

The Most Practical Path to Voice Automation at Scale

Most AI voice tools look impressive in demos but struggle when real customers call at high volumes. The difference comes down to infrastructure. Platforms that rely on stitched-together telephony, bots and messaging often break under load or add operational complexity.

Plivo works because it starts at the network layer. With native telephony, global carrier connectivity across 190+ countries and AI agents that run across voice, SMS, WhatsApp and chat, it’s built for real customer conversations. You can launch fast with no-code tools, integrate deeply via APIs when needed and scale on usage-based pricing without any long-term lock-ins.

If your e-commerce team wants reliable voice automation that actually works in production, not just another tool to manage, this is the most balanced and future-proof choice going into 2026.

Try Plivo Free

Getting started with Plivo is simple, quick and comes with no strings attached. You can sign up for a free trial account and get free credits to explore the platform’s voice, SMS, chat and WhatsApp capabilities before buying credits or subscribing to the platform. 

You can experiment with API calls, add phone numbers and build or test workflows using Plivo’s no-code tools helping you simulate real-life use cases like AI voice agents, automated messaging or multi-channel engagement with your own data and logic. 

Get started with your free trial now and begin building your first insurance agent today.

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Nov 8, 2024
5 mins

The Complete Guide to SMS Compliance

Learn to navigate SMS compliance and avoid lawsuits with our complete guide, covering essential laws and best practices. Start your compliant SMS journey today!

SMS Marketing

DoorDash, Carvana, and Bath Fitter—can you identify the common factor among these brands?

Recently, all of them were found violating the Telephone Consumer Protection Act (TCPA) by sending unsolicited telemarketing messages and texts without proper consumer consent. 

DoorDash sent over 566,000 unauthorized emails and 515,000 texts, resulting in a $2.01 million fine, while Carvana and Bath Fitter faced class action lawsuits for repeatedly contacting individuals on the National Do Not Call Registry and failing to provide clear opt-out mechanisms. 

Note that the TCPA allows for statutory damages ranging from $500 to $1,500 per violation. This can potentially expose non-compliant organizations to significant financial and legal repercussions. 

Besides, such escalations are often deeply damaging to the growth prospects of brands. 

Therefore, to avoid hefty fines and maintain a reputation, companies must prioritize SMS compliance. To help you get started, this blog post will walk you through everything you need about compliance guidelines and best practices.

Disclaimer:
This blog and the resources mentioned are for informational purposes only and do not constitute legal advice. Always consult a qualified legal expert.

Essential SMS marketing compliance guidelines 

In the US, rules around SMS compliance fall under the Federal Communications Commission (FCC), Federal Trade Commission (FTC), Cellular Telecommunications Industry Association (CTIA), state laws, etc. 

Some compliance guidelines are dynamically tailored to specific industry requirements and service provider protocols, with variations spanning financial services, healthcare, retail, and e-commerce sectors. These generally impose unique consent, privacy, and communication standards that extend beyond standard federal regulations.

Now, let’s quickly go over some laws and regulations you must be aware of:

TCPA (Telephone Consumer Protection Act)

The TCPA is a US federal law passed in 1991 to protect people from unwanted marketing calls, texts, and faxes. It applies to companies that use automated systems to send pre-recorded messages or SMS and lays down rules for businesses about how and when to contact consumers.

As noted before, companies that violate TCPA rules face a penalty of $500 to $1,500 for each non-compliant message. This number can quickly shoot up if violations happen frequently.

These penalties can quickly escalate, transforming a seemingly minor communication error into a multi-million-dollar legal challenge. For instance, ViSalus faced a staggering $925 million verdict for unauthorized robocalls, while AdaptHealth settled for at least $6 million for sending approximately 220,000 text messages after consumers requested to stop.

Beyond financial repercussions, TCPA violations can lead to significant reputational damage, loss of consumer trust, and potential long-term business disruption. The law's strict liability nature means that even unintentional violations can result in costly class-action lawsuits.

CTIA (Cellular Telecommunications Industry Association)

CTIA is a non-profit trade organization representing wireless communication sectors that establishes voluntary messaging guidelines to protect consumers from unwanted communications. 

While CTIA guidelines are not legally enforceable, they serve as industry best practices that mobile carriers, businesses, and service providers must follow to maintain ethical messaging standards. 

Non-compliance doesn't result in direct fines but can trigger carrier interventions like short code shutdowns, potential violations of other regulations like TCPA, and significant reputational damage. 

The primary purpose of CTIA is the following:  

  • To ensure transparent, consent-based communication by setting clear rules around message content 
  • Opt-in/opt-out processes and consumer protection ultimately maintain the integrity of mobile messaging ecosystems

Other important compliance laws

Businesses should also be aware of some other compliance laws, including: 

  • CAN-SPAM Act: A U.S. law establishing rules for commercial email, giving recipients the right to stop emails and outlining penalties for violations.
  • GDPR (General Data Protection Regulation): A comprehensive European Union data protection law that gives individuals control over their personal data and imposes strict rules on data handling and privacy.
  • Privacy Act of 1974: A U.S. federal law governing the collection, maintenance, use, and dissemination of personally identifiable information by federal government agencies.
  • Children's Online Privacy Protection Act (COPPA): A federal law protecting the privacy of children under 13 by regulating how online services can collect and use personal information from minors.

In addition to these, there are a few laws concerning business caller ID, state-specific laws, and more. 

Avoiding violation of SMS compliance rules

To avoid violating compliance rules, brands must take positive action. They should:

  • Put the consumer first: Respect consumers’ privacy, preferences, and their right to choose what they want to receive
  • Ensure accurate information: Always double-check the content of messages to ensure they are clear and truthful
  • Implement strong data privacy measures:  Avoid sending unwanted texts or mishandling consumer data
  • Engage in responsible marketing practices: Let consumers know about the brand and what you do, and avoid misleading them about promoted offers
  • Employ anti-fraud measures in SMS messages: Monitor the performance of SMS campaigns to identify patterns that indicate fraud or abuse 

Best CTIA practices and guidelines for SMS marketing

According to CTIA’s Messaging Principles and Best Practices document published in May 2023, these are the four SMS marketing best practices companies should follow for SMS compliance:

1. Abide by legal messaging standards 

The CTIA outlines the following best practices to help businesses follow the legal messaging standards:

Secure consumer consent for messaging

Receive consent through a signed form or a digital opt-in. Gaining explicit, recorded permission to receive SMS messages is key.

Use clear, visible CTAs

Provide visible CTA buttons so consumers know what they’re opting into.

Source

Provide opt-in and opt-out options

Set up simple ways for consumers to opt into SMS text. This could be through website forms, SMS keywords, or clicks from mobile devices. Consider customizing opt-ins for different campaigns, as it ensures people receive the content they want. 

Additionally, Always allow your audience to opt out easily, like unchecking a box or replying “STOP” to your SMS messages. Remember to remind them of this option regularly.

Source

Maintain ethical practices

Avoid deceptive practices like using rented or shared opt-in lists. Maintain a clean subscriber list, update contact details regularly, and obtain such information ethically.

2. Prioritize privacy and security in messaging

Prioritizing privacy and security focuses on how businesses collect, store, and use consumer data. You need to make sure to:

Create and display a clear privacy policy

Provide a clear and accessible privacy policy that explains how you manage and utilize consumer information for SMS communications. Include links to your privacy policy on opt-in messages or forms.

Implement robust security measures and perform audits

Use encryption to protect personal information and minimize the risk of data breaches. Also, identify gaps in the systems and update security measures regularly to protect consumer data.

3. Ensure responsible and compliant messaging content 

You must follow other best practices, like avoiding spam, maintaining content transparency, and abiding by FCC guidelines, including additional legal frameworks. 

Prevent unlawful and deceptive content

Use systems that monitor messages that detect SMS messages with content that is harmful, abusive, or intended to deceive. 

Use clear and safe embedded website links

Any links in your messages should represent the sender and not redirect to misleading or harmful sites. Use URL shorteners carefully while ensuring all links lead to secure web addresses tied directly to your business.

Disclose embedded phone numbers

When including phone numbers, ensure they belong to a real person or business. Hidden or masked numbers are deceitful and can lead to potential legal issues.

Non-Consumer messaging best practices 

To manage telephone numbers and avoid deceptive messaging techniques, follow these strategies for non-consumer messaging:

Ensure appropriate use of numbers 

Only enable messaging for numbers directly assigned to you by a telecommunications provider. Misusing numbers leads to unwanted messaging, regulatory issues, and customer frustration.

Avoid certain messaging techniques

Do not resort to harmful techniques like snowshoe messaging, where content is spread across various phone numbers to avoid detection. Additionally, gray routes are another unauthorized messaging path that you must avoid.

Use numbers appropriately 

For high-volume messaging, use common short codes to have a more consumer-protected environment. In scenarios like ridesharing or delivery services, use proxy numbers to avoid revealing personal contact numbers.

How to uphold TCPA compliance standards

The TCPA emphasizes written consumer consent and fines and penalties for non-compliance. In addition to the guidelines already covered in CTIA, it lists various requirements for opting in and out of messages. 

To ensure you are meeting TCPA compliance standards, consider these aspects:

  • Document consent acquisition and information: Maintain detailed records of every customer’s opt-in and opt-out status and update them regularly. 
  • Maintain a DNC list: Also, keep a real-time, dynamically updated Do Not Call registry that integrates automated scrubbing technology to prevent unauthorized contact and minimize potential legal and financial risks.
  • Be responsible for automated outreach: Send automated text messages only to those who have explicitly opted in. 
  • Respect consumers’ boundaries: Respect time boundaries and do not message outside regular hours. 
  • Consent above all: All outreach practices must comply with customer consent and TCPA regulations.

Ensure compliance with the new FCC rules

Notice how certain opt-in requests, forms, or prompts don’t mention the seller or company name from which you’ll receive SMS texts?

It is because the new FCC 23-107 rule closed the loophole that allowed companies to send SMS messages from multiple marketing partners based on a single consent. This completely changes how businesses collect and use consumer consent for marketing. 

Based on the new rule, here’s what you can do to be on the safe side:

  • Adopt an omnichannel marketing approach to get proper consent from each customer for each company represented
  • Receive direct, one-on-one permission for sales outreach to contact a customer
  • Inform consumers about the automated texts they will receive from a specific seller
  • Ensure content is related to consumers’ initial request for information
  • Have a legally compliant record of consent 

To avoid violating this rule, mention the partners, sellers, or businesses the consumer will receive from upon opting in. For example, use phrases like, “I agree to receive promotional text messages from [Company Name].”

Moreover, you can include an option for customers to choose their preferences on the messages they want to receive. And as always, provide a straightforward way to opt out of SMS marketing messages.

Understanding GDPR guidelines for SMS marketing 

GDPR is a stringent European data privacy law with extraterritorial reach that applies to any US business collecting, processing, or storing the personal data of EU residents. The regulation mandates comprehensive data protection standards with significant financial consequences for non-compliance, including potential fines of up to €20 million (21.46 million USD) or 4% of global annual turnover, whichever is higher. 

These fines are enforced by the European Data Protection Board (EDPB) and apply regardless of the company's physical location if they handle EU resident data.

Key GDPR compliance guidelines for SMS and digital communications include: 

  • Obtaining explicit consent: Before sending SMS messages, ensure that users provide explicit, informed consent. Explain how their data will be used, and give them the option to withdraw consent at any time.
  • Providing opt-out options: Every SMS must include a clear, accessible way for recipients to opt out of future messages. Process opt-out requests immediately and update your contact lists.
  • Data minimization: Collect only the data necessary to send SMS messages.
  • Data security: Implement strong security measures to protect personal data used for SMS communications from unauthorized access, accidental loss, or disclosure. 
  • Data transparency: Be transparent about how users’ data is used in SMS communications. 
  • Data retention and deletion: Retain personal data used for SMS communications only as long as necessary.

Meet all your SMS compliance needs with Plivo CX

Plivo CX offers an end-to-end SMS marketing platform that enables businesses to create and manage personalized messaging campaigns. 

With this platform, you can segment your customer base depending on specific attributes, deliver SMS exactly when customers need it for maximum engagement, use the built-in AI-driven copywriter tool to generate and modify SMS at scale and monitor the impact of the campaigns. 

The best part is that the platform leverages Plivo’s premium carrier network that spans 220+ countries across the globe. This low latency network ensures companies can reduce their SMS marketing expenses by 70% while driving 3X ROI on campaigns.

Besides this, Plivo’s SMS API platform offers several features to assist businesses in maintaining SMS compliance:

  • Built-in compliance management: The platform automatically handles regulatory and data compliance requirements, allowing businesses to scale their SMS operations.
  • Automated opt-out processing: The system automatically handles customer opt-out messages like "Stop" and "Cancel" on long codes, ensuring compliance with messaging regulations.
  • Smart rate limiting: Implements automatic controls to maintain compliance with messaging frequency and throughput regulations specific to each country's source numbers.
  • Message security: SMS message content is never stored within message detail records, and all debug logs are automatically purged after 30 days.
  • Sensitive data handling: Offers special features for healthcare and regulated industries, including the option to disable logging and phone number masking capabilities. 

Ready to take your SMS compliance and marketing efforts to the next level? 

Book your demo today!

Nov 8, 2024
5 mins

Step-by-Step Guide to Creating Effective Rich SMS Campaigns

This blog post is a blueprint in building rich SMS marketing campaigns to maximize customer engagement and higher click rates for your e-commerce business.

SMS Marketing

For any brand to engage with high-value customers, rich SMS marketing remains a winning strategy. If you’re wondering why,  the answer lies in your pocket or in your hand— it’s your smartphone. On  average, a user checks their device 96 times a day. For e-commerce brands looking to send text messages, that’s 96 opportunities to make a sale. 

Interestingly, Grand View Research Inc.’s data shows that the U.S. SMS marketing market size is expected to reach $9.96 billion by 2030, expanding at a CAGR of 20.8%.

Clearly, traditional SMS marketing isn’t going anywhere anytime soon; however, rich SMS is really starting to take off as companies lean into apps like WhatsApp. Unlike standard SMS, which sticks to a 160-character limit, rich SMS gives you the freedom to share more detailed information. 

We all know how tricky it can be to get your point across in just a few words, right? That’s why rich SMS is a much better option—it lets you link to landing pages where you can provide even more info.

Rich SMS helps companies run SMS campaigns that convert leads way better while also making the customer experience smoother with clear calls to action on those landing pages. With rich SMS, businesses can connect with consumers on a deeper level by creating an interactive experience.

In this blog post, we’ll explore what rich SMS marketing is, how it works, and how you can build a stellar campaign that can benefit your business. 

What is rich SMS marketing?

Rich SMS is like the upgraded version of the classic SMS. It's much more practical because it can include a short clickable link that directs people to a specialized page. This link helps you get around the 150-character limit of regular SMS.

A rich SMS looks like a regular SMS but includes a hyperlink at the end. There are two types of hyperlinks you can add to rich SMS. First up, we have clean URLs. These are the classic links that you copy directly into the message, and they show up in full text for the recipient. Then there are short URLs, which are condensed versions of links. They help you save characters in your SMS, allowing you to say more with less.

So, what makes rich text messaging so special? It’s all about how it pairs with landing pages. This combo not only attracts and converts prospects but also builds customer loyalty and encourages actions like buying, renting, subscribing, registering, or filling a form.

For companies in the retail, e-commerce, and food delivery space, the combination of rich SMS and landing pages is a real game changer.

Plus, rich SMS can be packed with multimedia content, making the interaction between the sender and the recipient much more engaging. This could be anything from photos and videos to files and voice messages. This is called the rich communication services (RCS) message — another step forward from the traditional SMS that helps businesses get closer to their customers and prospects.

Think of RCS messages as the Android equivalent of Apple’s iMessage. They blend the best features of messaging apps like WhatsApp, Facebook Messenger, and WeChat right into the SMS format. 

How a successful rich SMS marketing campaign can benefit your business 

Fifty-two percent of consumers have purchased products and 38% have opted for services after receiving brand messages via text/SMS or other messaging platform. This really shows how a well-executed rich SMS campaign can bring real benefits to a business.

Here are five ways a successful rich SMS marketing campaign can benefit your business. 

1. Strengthen your brand 

Brand awareness is all about how well people know and remember your brand, and the positive feelings they associate with it. Rich SMS or even traditional SMS marketing can be a powerful tool for boosting your brand awareness.

In a 2022 survey of U.S. consumers, 47% of millennials said they enjoy being contacted by brands through text messages. Interestingly, 44% of Generation Z respondents felt the same way. 

You can send welcome texts to highlight what makes your brand special, share updates on new offerings, or even ask customers for their feedback. This keeps your brand top of mind and shows that you genuinely care about their opinions. SMS is a great way to spread the word about your e-commerce brand.

2. Build personal connections with your customers

Rich SMS gives you a direct channel to your recipients, guaranteeing that they receive your message on their mobile devices. Ninety-five percent SMS messages are usually opened and read within three minutes of delivery, making SMS one of the best marketing methods with minimal costs.  

3. Better engagement with your products and services 

As per Google Data,  74% of individuals are likely to engage with a brand using RCS. It instills a sense of urgency; whether it’s a flash sale or a new product launch, sending a rich SMS with multimedia content that highlights the deal can prompt your customers to take action. 

4. Personalized approach to boost brand loyalty

With rich SMS marketing, you can tailor messages for each customer based on their individual interests and behaviors. In fact, personalization is no longer optional, it’s an essential component of customer experience.

The 2024 State of Customer Service and CX Study revealed that 81% of customers prefer companies that offer a personalized experience. By personalizing your communications, you can boost brand loyalty and enhance the customer experience. For example, if you know someone's birthday is coming up, you could send them a personalized abandoned cart message along with a special birthday discount!

5. Drive traffic to other platforms like websites/apps.

You can incorporate rich SMS into a more comprehensive marketing plan. It can be integrated with social media, email campaigns, and other channels to create a unified marketing campaign that maximizes impact and reach.

How rich SMS works 

Rich SMS is a great way to not only attract new customers but also retain existing ones. Let’s explore a few examples to show you how all of this works.

You’re an e-commerce business wanting to connect with your customers soon after they make a purchase. Sending a rich SMS the day after they buy your product or service is a prime opportunity to strengthen your relationship with them. You can include a link to a helpful tutorial on how they can use their new product, a list of complementary items they might find useful, or even a landing page highlighting your brand.

The goal is to give your customers a chance to learn more about your company, helping them feel more connected to your brand. Alternatively, consider sharing a link to a feedback survey — this could provide valuable insights and even lead to new marketing opportunities!

To enhance customer loyalty, you can share links to exclusive coupons or grant them access to private sales and free trials. When customers feel appreciated, they’re more likely to return and make additional purchases.

Rich SMS can also help you tackle those abandoned carts. A quick message can encourage customers to finish their orders or direct them to similar products that might interest them. With this approach, you can significantly boost your sales and conversion rates.

Lastly, don’t forget about inactive customers. If one of your regular customers hasn’t visited your site in months, send them a rich SMS with a promotional offer to re-engage them. It could be just what they were looking for.

How to create a rich SMS marketing campaign using Plivo CX Engage

Sending a message to a customer is personal. Businesses need to be thoughtful, crafting each message with the goal of building a genuine connection. Every brand goes through a process of trial and error before they discover the perfect message that keeps customers coming back for the long term.

SMS is a powerful tool for keeping customers engaged. Offering early access to promotions, sharing new product updates, and sending exclusive offers can keep your loyal customers in the loop. Strengthen these connections even further with quick feedback requests and personalized recommendations.

These regular touchpoints keep your brand top of mind and build lasting relationships that drive repeat purchases. With an omnichannel customer engagement tool like Plivo CX, which integrates with Shopify, you can create targeted, personalized rich SMS marketing campaigns that drive engagement and revenue.

Here are five easy steps to help you get started with a targeted rich SMS campaign in Plivo CX: 

1. Define the objective 

Clearly outline the goals of your marketing campaign. 

Are you planning to:

  • Increase sales?
  • Launch a new product?
  • Boost engagement?
  • Increase brand awareness?

Know the why behind your campaign. Fifty eight percent of consumers unsubscribe from brand messages when they feel bombarded, so it’s crucial to have a clear purpose and timing in mind. Focus on delivering the right message at the right moment. Once you’ve nailed down your objective, plan your strategy to launch a campaign that truly resonates.

2. Know your audience

A targeted list of subscribers is essential for any successful rich SMS campaign. Plivo CX’s Audiences feature syncs your Shopify contacts in real time and offers an excellent solution for managing and targeting your SMS subscribers.

With Audiences, you can organize your subscribers into targeted segments based on demographics, purchasing behavior, or engagement level. This ensures your campaigns are highly relevant. The best part? You can create segments with unlimited rules and send hyper-relevant messages to your subscribers.

3. Craft a personalized message 

Use Plivo CX Engage's Copywriter AI to create personalized messages that truly connect with your audience. Tailor content to reflect recipients' interests, purchase history, or past interactions for a more engaging experience.

To craft your message, simply enter the following into Copywriter AI:

  • Define your AI objective
  • Describe  your message idea
  • Choose whether to add emojis or images 
  • Select your  brand voice 
  • Set  the message length 
  • Specify timing and urgency
  • Enter product or service details 
  • State the desired action for the user

After entering the details,  AI Copywriter will share multiple options with you. You can review and fine-tune your content before sending. 

4. Scheduling messages at the right time

The Campaigns feature in Plivo CX will assist you in scheduling the messages at the right time to your audience. 

Before creating any campaign, make sure to understand: 

  • Who you’re sending to 
  • What you’re sending 
  • When to send it

Once you have clarity on these,  setting up a campaign in Plivo CX is seamless. 

Select your audience from the lists and segments. 

Select the channel through which you wish to deliver the message. 

Choose the Send Now / Send Later option depending on which you prefer. 

The Send Now feature sends the campaign immediately. Using Send Later, you can schedule the campaign according to the time zone you’d prefer, and then select date and time. 

Once you have selected your time preference, create the message or use AI Copywriter to generate one. 

Review your campaign and then hit Publish. 

5. Gauge the KPIs and iterate

Once the campaign goes live, you can identify and track key performance indicators, such as sent, delivered, and click rates. Continuously analyze the performance of your campaigns to understand which strategies work best. Use this data to refine and optimize future rich SMS campaigns, ensuring ongoing improvement and success.

Rich Messaging via WhatsApp and Apple Messages for Business 

Rich messaging has transformed how businesses communicate with their customers through platforms like WhatsApp and Apple Messages for Business. 

On WhatsApp, rich messaging enables businesses to send interactive and engaging content, such as images, videos, and audio messages, directly with customers. This platform supports quick replies, allowing users to choose from predefined responses, which streamlines interactions. Additionally, WhatsApp’s rich messaging includes features like product carousels, location sharing, and integration with payment gateways, creating a seamless experience for both businesses and consumers.

Apple Messages for Business also offers robust rich messaging capabilities, enabling businesses to connect with customers through the Messages app. It supports features like rich links that display previews of shared content and Apple Pay integration for secure transactions. Businesses can also leverage custom iMessage apps to deliver personalized customer experiences. Apple Messages for Business also facilitates interactive customer service with options like appointment scheduling and product browsing right within the messaging interface.

Overall, rich messaging on both WhatsApp and Apple Messages for Business boosts customer engagement by offering interactive, efficient, and convenient communication channels.

Kickstart your rich SMS marketing campaigns with Plivo CX

Businesses across every sector need to elevate their rich SMS marketing strategy to stay relevant with  customers. By laying out a solid strategy, you can create impactful campaigns that foster meaningful interactions.

It’s clear that to manage rich SMS campaigns for maximum ROI, you need a reliable platform like Plivo CX to keep things efficient and impactful.

With Plivo CX, you can easily send personalized messages across a premium network that reaches over 220 countries and territories. Here’s what Plivo CX brings to the table:

  • Create custom audience segments with the Audience feature
  • Automate timely responses through Journeys
  • Schedule campaigns for peak engagement

And with the Copywriter AI, crafting engaging messages is a breeze — no need for a big content team to keep things running smoothly. Ready to launch? Sign up with Plivo CX and start your rich SMS marketing campaign today!

FAQs 

What are the channels that Plivo CX Engage supports?

Currently, Plivo CX supports SMS and WhatsApp.

What are the pricing plans available for Plivo CX Engage?

Currently, we have four different pricing plans available: 

  • Starter: starts at $0/month and allows up to 1,000 contacts 
  •  Growth: starts at $99/month and allows up to 5,000 contacts 
  • Pro: starts at $299/month and allows up to 25,000 contacts
  •  Enterprise: starts at $999/month and allows unlimited contacts 

Do I have to import contacts from Shopify every time for the campaign? 

No, you do not need to import contacts from Shopify every time for a new campaign. Once you have connected your store, it’ll be automatically updated. 

Name the regulations that Plivo CX Enage is compliant with.

Plivo CX is compliant with various regulations like GDPR, SOC2, HIPAA, and PCI-DSS.

Nov 8, 2024
5 mins

Decoding SMS Marketing ROI: 4 Excellent Strategies for Maximizing SMS Marketing ROI

In this guide, explore why SMS marketing ROI matters, how you can calculate it, and how you can increase the ROI of your SMS marketing campaigns. Book a demo.

SMS Marketing

Is SMS marketing worth it? As per the 2023 Mobile Consumer Trends report, more than 2 in 5 users want to hear from brands via both SMS and push notifications. Based on this data, there’s definitely good traction for SMS marketing. But is it generating the right amount of returns for businesses? You have to find out by calculating the return on investment (ROI) on SMS campaigns.

Let’s dive into what SMS marketing ROI is, how you can calculate it for your campaigns, and how you can  optimize it using a tool like Plivo CX.

What is SMS Marketing ROI and what are the factors that influence it?

SMS marketing ROI is a metric that  measures the profitability of SMS campaigns, essentially showing whether you’re achieving the   right returns on your investment  in  these campaigns. 

Top factors that influence SMS marketing ROI include:

  • Relevant and concise content
  • Appropriate timing
  • Personalized messaging
  • Frequency of messages

What is an average SMS marketing ROI?

Figuring out the average SMS marketing ROI can be tricky because it varies a lot depending on the brand, industry, campaign, and what you're trying to achieve. 

Upcity surveyed 300 digital marketing professionals on the effectiveness of SMS marketing campaigns, and the results were impressive:  51% of small and medium business marketers reported an average ROI of $21 to $40 for every dollar spent on their SMS marketing efforts.

The higher your ROI is above 100%, the better. A 100% ROI means you broke even — essentially, you earned back exactly what you spent. But when your ROI exceeds 100 percent, that means you’ve made a profit.

Why SMS marketing ROI matters

 Monitoring SMS marketing ROI is crucial for several  reasons: 

1. Optimizes budget

Knowing what works and what doesn’t allows you to allocate your budget more effectively to maximize ROI. You can spend more on  high-performing campaigns  and reduce spending   on underperforming ones.  

2. Improves performance

Calculating SMS marketing ROI helps in optimizing campaigns.  Since marketing is often a process of trial and error, regularly assessing ROI on your SMS marketing lets you determine if an idea is successful or needs adjustment.

By allocating a small budget to new ideas and measuring their ROI, you can iterate until achieving optimal performance.

3. Builds long-term strategy

 Tracking the SMS marketing ROI of different campaigns   provides valuable insights into   customer behavior and preferences. This information  helps you plan more effective future campaigns and build a robust long-term strategy.

Steps to calculate ROI on SMS marketing campaigns

Measuring SMS marketing ROI means  assessing how much profit you gain from your  investment. 

Here’s a step-by-step guide for calculating SMS marketing ROI:

1. Determine total revenue

Find the total revenue generated by the campaign, such as from conversions, purchases, etc. 

2. Define campaign cost

Add  up all the costs associated with creating the SMS campaign, including SMS marketing platform fees and any other  expenses.

3. Determine net profit

Calculate your profit by subtracting total campaign cost from the revenue.   

Net profit = Total revenue - Total campaign cost

4. Calculate ROI

You can calculate ROI with a simple formula:

ROI percentage = (Net profit/Campaign cost)*100

Let's look at  an example. Suppose you planned an SMS marketing campaign where  you sent promotional emails to 15,000 contacts using the Plivo CX Growth plan (priced at $99 per month). Out of 15,000 contacts, 800 customers  made a purchase of $50 each.

Total revenue = 800 * $50 = $4,000

Campaign cost = $99

Net profit = Total revenue - Campaign cost = $4,000 - $99 = $3,901

ROI = (Net profit/Campaign cost)*100 = (3,901/99)*100 = 3940.40%

How you can improve SMS marketing ROI

Implement the following tips to boost SMS marketing ROI:

1. Segment audience

One of the simplest SMS marketing best practices is to segment your  audience so that subscribers  receive only the messages that are most relevant to them. Segmentation enables you to send  targeted messages to specific subscriber groups based on their interests, demographics, behaviors, or other characteristics, increasing engagement and conversion rates. 

Tip: Use an SMS marketing automation platform like Plivo CX for SMS marketing that automates the segmentation process by automatically categorizing users into segments based on key characteristics like demographics, browsing activity, online behavior, etc. With Plivo CX, you can run well-targeted campaigns tailored to specific  user segments. 

2. Optimize messages

Another important step to increase the ROI of SMS campaigns is to optimize your  messages by making the following changes:

  • Keep  messages concise
  • Make them engaging by using graphics
  • Personalize messages based on customer data
  • Add a clear, strong call to action
  • Include social proof (if relevant)

Tip: Creating and optimizing  multiple campaigns is time-consuming. Simplify this with  AI. 

Plivo CX includes an AI assistant that helps create optimized campaigns with a single click. Once you determine the goal, parameters, timing, urgency, and even voice of the message, Copywriter AI will instantly craft options for you and even fine-tune the messages before sending. 

3. Optimize timing and frequency

Optimizing messages alone isn’t enough; finding the right timing and frequency is also essential. 

Bombarding customers with too many messages is the top reason consumers opt out of SMS marketing — nearly 60% of smartphone users cite excessive updates as the main reason for turning off notifications or unsubscribing from SMS messages. 

Finding the ideal timing and frequency often involves a process of trial and error.

Tip

Instead of testing times randomly, leverage past data to identify the best times to send messages. AI can make this process easier by analyzing historical data and spotting trends. Plivo CX’s AI assistant can help pinpoint optimal message timing.

4. Test campaigns

Segmenting users and optimizing messages are effective steps, but testing is crucial to know what works best.  

Run test campaigns and  analyze metrics regularly to understand what’s working well. 

Testing variations of messages on a smaller budget can provide insights before committing to larger investments. 

Tip: Track all the key metrics of all campaigns to assess effectiveness. Plivo CX automatically tracks important metrics such as open rate, click rate, converted rate, and revenue. 

Plivo CX also integrates seamlessly with Shopify, allowing you to track both SMS marketing campaigns alongside  order data for more accurate  conversion insights. 

Just remember, optimizing your SMS marketing ROI isn’t something you do once and forget about — it’s an ongoing process. 

Make it a habit to regularly check your data and tweak your strategy as you go. By staying on top of the key metrics and always looking for ways to improve, you’ll be well on your way to getting the most out of your SMS marketing efforts.

Run SMS marketing campaigns with Plivo CX

Plivo CX is a robust SMS marketing platform designed to help your Shopify brand drive real success with SMS marketing. 

By partnering with Plivo CX, you’ll effectively communicate with your existing customers, expand your marketing list, optimize lead generation cycles, and more.

Currently tailored for e-commerce businesses, Plivo CX helps you engage with customers across SMS, MMS, WhatsApp, and email . It offers all the key features required to boost your SMS marketing ROI:

✅Segmentation

✅AI assistant

✅Reporting and analytics

Plivo CX also leverages  Plivo’s premium carrier network, enabling you  to send personalized messages to over 220 countries and territories.

Ready to optimize your SMS marketing ROI? Schedule a demo today to explore the powerful features and capabilities of Plivo CX Engage.

 By reducing external dependence, Plivo assures high SMS deliverability and affordability. You can send a text message in the US for as little as $0.0065 via Plivo compared to the $0.0150/SMS cost of competitors. 

I could tell from the get-go that Plivo was going to offer outstanding service compared to some of the other SMS providers. ​Anytime we've ever reached out to Plivo for any questions, we get responses quickly and with answers that make sense.” ~ Jacob Martinez, Product Owner, Deckers.

FAQs

1. What is the formula for SMS ROI?

SMS ROI is calculated by dividing the profit of the campaign against the total investment. A simple SMS marketing ROI formula for a marketing campaign is: ROI percentage = ((Total revenue - Campaign cost)/Campaign cost)*100.

2. What factors influence SMS marketing ROI?

The primary factors that influence SMS marketing ROI include:

  • Relevant and concise content
  • Appropriate timing
  • Personalized messages
  • Frequency of messages

3. What kind of messages can I send in my SMS marketing campaign?

The most common examples of SMS marketing are:

  • Welcome messages
  • Flash deals
  • Personalized updates
  • Product order and shipping updates
  • Festive offers
  • Personalized offers

4. What is a good SMS marketing ROI?

Companies are experiencing a positive SMS marketing ROI of  $21 to $40 for every dollar spent on their SMS marketing campaigns.

5. Can SMS marketing ROI fluctuate over time?

Yes, SMS marketing ROI can fluctuate over time depending on market dynamics, consumer demands, competition, and campaigns. It's important to optimize  SMS campaigns regularly for  best performance.

Nov 5, 2024
5 mins

Personalizing Customer Experience: An In-Depth Guide With Actionable Tips

Learn about personalized customer experience with its examples and benefits. Also, learn how to deliver a truly personalized customer experience with a step-by-step guide.

Customer Experience

According to McKinsey, companies excelling at customer experience personalization can generate 40% more revenue from marketing activities than average players in 2023. On top of that, Accenture data suggests that 83% of consumers are willing to share their data for a personalized experience. 

Therefore, it’s evident: the stage is set, and the right time to personalize customer experience is now. This is also why 36% of companies in AMER consider this a top priority and plan to invest more resources in it.

But the question is, how do you go about personalizing customer experience? What are the steps you must take to develop a solid strategy that brings the maximum ROI?

In this blog post, we’ll explore the step-by-step process for successfully creating a personalized experience for your buyers and building a loyal customer base. 

What is a personalized customer experience?

Personalized customer experience focuses on making your customers feel special and understood. It's like being a great host at a party—you remember your guests' preferences, anticipate their needs, and make them feel right at home.

For brands, this means getting to know your customers on a deeper level—understanding what makes them tick, what they like, and what they're looking for when they interact with your brand. Then, you use this knowledge to tailor their experience just for them.

According to a 2024 Deloitte report, 50% more brands now consider personalization a core component of their customer strategy compared to two years ago. Additionally, brands plan to increase spending on personalization by an average of 29% in 2024. 

Key elements of personalization

  • Understanding individual customer preferences
  • Anticipating their needs
  • Tailoring interactions across all touchpoints regardless of channels 
  • Creating seamless experiences across storefronts

Think of it as the difference between walking into a store where nobody knows you versus your favorite local coffee shop where the barista starts making your usual order as soon as you walk in. That's the kind of personalized touch we're talking about but on a larger scale.

Benefits of a personalized customer experience

Mckinsey notes that a significant 71% of consumers expect personalized interactions from companies, and 76% express frustration when these expectations are unmet. With that in mind, let us explore the top four benefits of highly personalized customer experiences:

1.Boosts customer engagement 

According to a 2024 Statista survey, 51% of marketers report improved customer experience as one of the main benefits of a personalization strategy. Such strategies prompt users to interact with your branded messages and content, which in turn increases customer engagement, improves in-store experience and results in more sales.

2.Increases revenue

Personalized customer experience has the potential to increase brand revenue. The Deloitte study indicates that more than 8 in 10 consumers point to personalized offers as a significant influence on their purchase decisions. Clearly, marketers should leverage these tactics and position their brands as the top choice among their customers. 

Source

3.Improves customer satisfaction

According to the 2024 Deloitte study, brands that make personalization efforts experience 57% more customer satisfaction than brands that are yet to streamline their efforts. 

Tailored product recommendations, optimized user interactions, and swift responses often make customers feel more understood and valued, resulting in higher customer satisfaction. And as the saying goes, a satisfied customer means a loyal customer.

4.Builds customer trust

When you actively listen to your customers and use their feedback to design unique user experiences, it sends a clear message that your brand genuinely cares about their needs and preferences. 

In fact, consumers expect brands to demonstrate whether they know them on a personal level. However, they prioritize tangible benefits from personalization, with 78% wanting it to help them save money.

7 steps to create a personalized customer experience

According to the Deloitte report, personalization leaders outperform low-maturity brands across several key metrics, such as:

  • Conversion rate: 54% for personalization leaders vs. 38% for low-maturity brands
  • Customer satisfaction: 61% vs. 37%
  • Lifetime value: 57% vs. 29%
  • Customer engagement: 61% vs. 44%

These statistics highlight the effectiveness of well-executed personalization tactics. To ensure you also develop such an impactful strategy and reap the benefits, follow this step-by-step process:

1. Learn about your customers

You cannot deliver personalized customer experiences without understanding your customers. So, go beyond the basic information by comprehensively using AI for customer experience and identifying what they need.

For example, you can analyze these data points using ML and NLP algorithms to build customer personas and understand your audience better:

  • Basic information: Name, age, address, email, phone number, and date of birth
  • Demographics: Location, lifestyle, culture, marital status, job title, and income 
  • Product-related: Pain points, interests, challenges, goals, and desires
  • Consumer behavior: Pages viewed, time on site, items on wishlist, items added to cart, and social media engagement
  • Repeat customer data: Past purchases, average order value, customer lifetime value, and the time interval between purchases

Subsequently, consolidate these data points from email and marketing software solutions, CRMs, and content management systems into a single database to streamline your personalization efforts. 

2. Segment your customers

Customer segmentation is another key component of your personalization strategy. It involves classifying your audience into different groups based on their shared personalities, which will help you target diverse customer groups with super-focussed messages, resonating with your audience and driving more responses. 

To help you get started, segment your traffic based on the following conditions: 

  • Geolocation/IP address: Group people from the same city, state, and country
  • Traffic sources: Organic search, social media links, pay-per-click, special offers using influencers' links, and email marketing
  • Behaviors: Page visits, clicks, downloads, and video plays 
  • Customer stage: New leads, repeat buyers, cart abandoners, VIP customers, and newsletter subscribers 
Source

You can try the Engage module of Plivo CX to appropriately segment your customers based on key attributes. No coding is required. 

Simply import contacts from various sources like your eCommerce store, landing pages, and forms. Gain a comprehensive view of your customers with insights into their activity and purchase history. Then, utilize the intuitive segment builder to create targeted audiences based on specific attributes, enabling personalized messaging and effective marketing campaigns.

3. Test personalization efforts across channels

Embracing omnichannel support helps you reach customers through the communication channel they prefer the most. Once you've completed the basic setup, test and optimize your personalization efforts across different channels. You can do it this way: 

  1. Choose the proper channels for personalizing content, communication, and products. 
  2. Next, start small by showing relevant languages, currencies, and shipping details based on different customers’ location data. 
  3. You can also try suggesting relevant products based on each customer’s job, income, and purchase behavior.

Another great way to implement personalized product recommendations is by displaying ‘Bestsellers,’ ‘Frequently Bought Together,’ ‘Most Popular,’ and ‘Continue Shopping’ lists to help customers pick up where they left off and find relevant items based on their previous purchases.

Source

As an all-in-one, omnichannel customer service platform, Plivo CX comes with a unified agent desktop that brings together multiple channels, like email, voice, SMS, WhatsApp, and live chat, in a single window pane. 

Agents no longer need to switch between channels to find the 360° customer context and offer effective solutions. On the other hand, customers can approach your brand on their preferred channels, making this a win-win feature for both stakeholders. 

4. Gather customer feedback

Since customers' needs and expectations evolve constantly, it's essential to monitor satisfaction levels and modify brand strategies. Gather customer feedback and use analytics tools to understand what works and what doesn't. 

You can also create different types of surveys—single-answer questions, multiple-choice, dropdown, emojis, and numerical scales—and embed them on your website, blog page, emails, checkout pages, and mobile app to collect feedback. 

Plivo CX offers comprehensive Metrics & Reporting so that you can execute real-time monitoring of queue, operations, and agent performance. With historical reports, assess past performance to identify trends and areas for improvement. The tool also lets you gather customer feedback to measure satisfaction and identify improvement opportunities.

💡Tip: Wondering how to get started? Use simple questions such as “How do you like our personalized recommendations?” or “How likely are you to recommend our products to your friend?” that customers can answer on a scale of 1 to 5. 

5. Adopt real-time customer engagement

Real-time customer engagement can enhance the efficiency of your personalization strategies and increase conversion rates. You can achieve this by contacting customers on social media platforms, sending personalized push notifications, and using gamification. 

Give your customers instant support with Plivo CX's smart self-service chatbots. These OpenAI-powered bots can handle routine inquiries, so customers get quick answers 24/7. Plus, you can train the bots with custom datasets to ensure maximum relevancy in responses. 

This intelligent solution not only reduces response times but also frees up agents to focus on higher-value tasks, leading to a more productive and customer-centric support team working towards hyperfocused customer engagement.

Read more: Automation in Action: 6 Ways Companies Are Nailing Customer Service

6. Leverage AI to boost personalization

Using Artificial Intelligence (AI) technologies can help you personalize customer experience at scale. AI tools can effectively analyze large amounts of customer data to identify patterns, understand expectations, and anticipate needs. 

This will allow you to offer tailored product recommendations for each customer and proactively address their issues. 

Plivo CX goes beyond basic chatbot functionality by incorporating advanced AI capabilities to streamline your customer service operations. Our AI engine can intelligently categorize and prioritize incoming tickets, ensuring that urgent issues are addressed promptly. 

Furthermore, you can customize AI agents with guardrails to reflect your brand's identity, policies, and processes. This ensures that your AI stays on topic and consistently aligns with your company's standards, providing a cohesive and engaging customer experience.

7. Ensure data privacy

Here are some tips to help you secure customer data and prevent potential data breaches:

  • Use password management tools to create and store complex passwords 
  • Limit data access to support agents and marketing managers
  • Eliminate data silos and store customers' data in a unified, secured place  
  • Ensure the personalization tool you use complies with industry regulations such as GDPR, HIPAA, CCPA, PCI DSS, and SOC 2 to protect customer data
  • Conduct regular security audits and assessments to detect any new threats

When it comes to data security, Plivo CX takes complete security ownership of your data. We employ a multi-layered approach to security, encompassing physical, network, application, and data protection measures. 

Our infrastructure is hosted in state-of-the-art facilities with 24/7 surveillance and strict access controls. All data is encrypted in transit and at rest, and we maintain strict access limitations to protect sensitive information. 

Plus, we undergo regular audits to ensure compliance with industry standards like SOC 2, HIPAA/HITECH, PCI DSS, ISO 27001:2022, and so on. 

Enjoy the benefits of personalized customer experience with Plivo CX

Modern customers expect personalized customer experiences across all channels, from voice calls, emails, texts, live chat, or social media. Therefore, generic content and product recommendations don’t cut it anymore and could bleed you out in the competition. 

The Service module of Plivo CX offers a comprehensive suite of features to help you better understand customers’ expectations and deliver personalized experiences. The platform's intuitive AI-powered chatbots, IVR, omnichannel support, and unified agent desktop can help you live up to their expectations with prompt and nuanced responses. 

On the other hand, in the Engage module of Plivo CX, you can use a handy segment builder to target specific audiences based on specific attributes. 

Finally, the tool is GDPR, SOC-2, HIPAA, and CPRA compliant. Therefore, there are no concerns about data security or cyber threats.  

Ready to take your personalization game to the next level? 

Book a demo today!

Nov 5, 2024
5 mins

A Quick Guide to the Benefits of SMS Marketing

If you want to improve marketing engagement and ROI, SMS marketing is the way to go. Keep reading to learn about its benefits!

SMS Marketing

Variety Research’s The State of SMS Marketing in 2023 report reveals that nearly 45% of consumers prefer receiving promotional messages from brands. Combine that with the fact that people check their phones 144 times a day, and SMS automatically becomes a marketing channel you cannot overlook.

Developed as one of the most direct and unassuming communication channels, SMS helps you deliver messages that reach your customers where they’re already spending time—right on their phones.

But that’s only one of the advantages of SMS marketing

What else can it do for your business? How can you get the maximum ROI out of your SMS campaigns? And how can you integrate SMS with your other marketing channels for a truly connected customer experience?

In this guide, we will go over the advantages of SMS marketing. Let’s begin!

Defining the SMS

SMS stands for short message service. It is a type of text message sent from one mobile device to another over any cellular network. 

These messages are generally limited to 160 characters and contain only text—it doesn’t support images, videos, or other media. 

However, if you want to add images, videos, or audio—or go beyond the 160-character limit—your message will turn into a multimedia messaging service (MMS). 

Note that you require an internet connection to send and receive MMS. 

6 important benefits of SMS marketing

Plus, according to Salesforce’s State of the Connected Consumer Report, 66% of customers prefer to be contacted through text messages instead of other channels. Also, the latest SimpleTexting survey suggests that 45% more businesses are using SMS marketing now compared to this time in 2022. 

So, what is driving this surge? 

Let’s explore a few core advantages that are convincing marketers to go for SMS instead of other marketing channels:

1. SMS marketing is trustworthy and personal

As noted above, SMS messages go straight to your customer's phone. This direct line makes them feel more personal than emails or calls. People often check texts immediately, sometimes reading them from the notification bar.

In fact, according to the Validity report from 2023, 19% of consumers prefer getting messages via SMS, which is higher than social media (16%), app notifications (6%), and direct mail (6%).

Source

Another reason SMS is popular is that—unlike long, drawn-out emails, texts are short, to the point, and easily skimmable. 

2. SMS marketing offers an excellent ROI

While each marketing channel has strengths, SMS marketing stands out for its exceptionally high open rates, quick response times, and strong ROI. It's particularly effective for time-sensitive communications and can complement other marketing efforts. 

Moreover, during high-volume sales periods like Black Friday, SMS marketing can deliver up to a 2000% ROI, showcasing its effectiveness in driving revenue.

Now, let us review how SMS marketing stacks up against other marketing channels based on the latest data: 

SMS vs. email marketing

  • ROI: SMS marketing generates $71 in revenue for every $1 spent, while email marketing returns $42 for every $1 invested. This makes SMS nearly 70% more profitable in terms of ROI.
  • Open rates: SMS messages have an open rate of almost 100%, compared to email's average open rate of around 20%.
  • Response rates: When it comes to response rate, SMS boasts a 45% rate, significantly higher than email's 6%.
  • Speed: 40% of consumers check SMS notifications within 5 minutes of receiving them, making it a much faster channel for time-sensitive communications.

SMS vs. SMM

  • ROI: According to Textline data, while SMS marketing can deliver up to $71 for every $1 spent, social media ad campaigns have an average ROI of 250%. However, it's important to note that social media ROI can be more challenging to measure accurately.
  • Engagement: TikTok leads social media platforms with a 4.25% engagement rate, followed by Instagram at 0.6%. SMS, with its high open and response rates, can potentially offer even higher engagement.
  • Reach: Social media platforms have massive user bases (e.g., Instagram with 1.4 billion monthly active users), but SMS can reach almost anyone with a mobile phone, regardless of their social media usage.

SMS vs. PPC

  • ROI: WordStream notes that PPC has an average ROI of 200%, which is lower than SMS marketing's potential return.
  • CTR: The average CTR for search ads across all industries is 3.52%, while SMS messages have much higher open and response rates.

Cost: According to Semrush, the average cost per click for Google Ads is $2.69, whereas SMS marketing can be more cost-effective, especially for businesses sending bulk messages. For instance, with Plivo’s low-latency premium carrier network with coverage across 220+ countries, SMS marketing costs can be drastically reduced.

Marketing Channel ROI Open/Click Rate Response/Conversion Rate
SMS $71:$1 ~100% 45%
Email $42:$1 ~20% 6%
Social Media Ads 250% Varies (0.05-4.25%) Varies by platform
PPC (Search Ads) 200% 3.52% CTR 7.04% conversion rate

However, we must note that the best approach often involves using a mix of channels to reach customers through their preferred methods of communication. 

3. SMS marketing is more impactful

The human attention span is notoriously shrinking. In this context, SMS marketing can grab attention quickly through short, impactful messages. Compared to email marketing, where lengthy messages can get buried or cold calling, the response to which can often depend on the receiver’s mood, SMS marketing is a non-intrusive way to deliver real-time, high-impact information on the fly.

As noted above, SMS has a staggering open rate—2.7x more than the 37.3% average open rate for email marketing and 19.6x the 4.8% average response rate for cold calls

This means your messages are almost guaranteed to be seen when delivered via SMS.

This high engagement is because of the to-the-point, personal nature of SMS marketing and the fact that readers are not distracted away from the CTA. 

4. SMS marketing has low competition

Another vital aspect is competition—only 60.3% of companies use SMS marketing. In contrast, 87% of marketers use email marketing to distribute content, and 31% use email newsletters to nurture leads. 

This lower level of competition presents a distinct advantage, allowing businesses to stand out and deliver impactful messages.

Source

5. SMS marketing can be easily combined with other channels

Your customers can use any channel at any time. So, engaging them via multiple channels and a consistent brand experience increases the chances of conversion. 

You can use both SMS and email marketing simultaneously to improve customer experience by: 

  • Using email to collect phone numbers for SMS marketing campaigns
  • Recovering lost sales with abandoned cart emails combined with text messages
  • Sending personalized recommendations via email and following up with an SMS reminder
  • Creating a multi-touchpoint experience where you use SMS to drive attention to your email campaign
  • Using SMS to announce flash sales while your emails and social media posts get into the details of the various deals being offered

Some marketers also sync their company’s calendars with SMS to send appointment and event reminders, such as for webinars or service appointments, to reduce no-shows and increase engagement. 

6. No changing algorithms to battle with in SMS marketing

Social media platforms and search engines like Google use sophisticated algorithms to control content visibility and recommendations. This means your content is constantly at the mercy of these shifting algorithms. 

Your content might be on Google's first page and then suddenly get buried under the results pile after a Helpful Content Update (HCU), which sent shockwaves through the SEO industry because it penalized niche blogs and content creators. Websites with stable rankings for years were pushed off the top in favor of larger, corporate-owned websites. 

Google’s March 2024 Core Update made things even worse because it targeted (and deindexed) older domains—further punishing independent content creators. Bloggers and niche website owners were penalized again despite sticking to best practices. 

While the August 2024 update did fix some of the damage, thousands of sites never bounced back to their pre-September 2023 rankings. This is the reality of marketing on search engines and creates endless frustration for marketers, with many feeling powerless as their hard-earned rankings disappear overnight. 

Social media is no different—algorithm updates on platforms like Instagram and Facebook may suddenly reduce your organic reach, which forces you to pay for visibility.

In contrast, SMS marketing has no changing algorithms that dictate whether or not your messages will be seen. Once you send an SMS, it lands directly in your customer’s inbox—which makes this channel simple, stable, and reliable. 

This means you have zero need to constantly adjust your strategy to work around changing guidelines or fight for visibility. 

If utilized properly with ample personalization and the right tools, SMS marketing gives you full control over how and when you reach your audience without being buried by algorithms.

Elevate your SMS marketing strategy with Plivo CX

SMS messages are a reliable, cost-effective, and impactful way to connect with your audience directly. With an AI-driven omnichannel customer engagement platform like Plivo CX, you can manage your SMS marketing campaigns from start to finish while downsizing your SMS costs by 70% and driving ~3x ROI from the campaigns. 

It comes with several features, such as: 

  • Powerful audience targeting: Plivo CX empowers you to precisely target your audience by integrating with Shopify or importing your existing contacts. You can then segment these contacts based on various factors like purchase history and demographics, ensuring your messages reach the right people.
  • Blazing-fast campaigns: Creating campaigns is a breeze with pre-built templates and AI-powered content generation, allowing you to launch in minutes and see quick results.
  • AI-powered content creation: If you're ever stuck for ideas, our Copywriter AI can help you overcome writer's block. Simply tell the AI your objective—your goals, desired tone, level of urgency, etc.—and it will instantly generate a variety of creative options for you to choose from.
    You can then review, select, and even fine-tune the AI's suggestions before sending, ensuring your marketing copy is always top-notch. It's the perfect solution for eCommerce brands looking to scale their content creation and launch more personalized campaigns.
  • Multi-channel engagement: To maximize your reach, Plivo CX enables you to engage customers across multiple channels, including SMS/MMS, email, and WhatsApp.

That’s not all! Plivo’s SMS API platform can also catapult your marketing campaigns in several ways:

  • SMS API platform: The robust SMS API platform enables businesses to programmatically send and receive text messages, facilitating global customer interactions. 
  • Low latency: Plus, you can rely on our proprietary and award-winning premium carrier network that maintains high SMS delivery and open rates regardless of volume or send rate. 
  • Extensive global coverage: With coverage across 220+ countries across North America, Europe, Asia, Oceania, South America, and Africa, it offers the flexibility to customize the Sender ID in 100 countries outside the US and Canada.
  • Diverse options: The platform supports multiple sending and receiving options to suit various business needs. Users can send and receive SMS using local phone numbers, alphanumeric sender IDs, toll-free numbers, or shortcodes. 
  • Customer feedback collection: For gathering customer feedback, Plivo's SMS API can be used to conduct surveys by sending and receiving SMS messages. 

Want to learn about how to go from ideation to execution?

Sign up for a free trial today!

Oct 30, 2024
5 mins

All About Intercom Pricing: Things You Need to Know Before You Buy

Get a detailed breakdown of Intercom pricing, features and the factors affecting the final cost. Explore more affordable alternatives to decide what’s best

Customer Service

Intercom positions itself as an AI-first customer service platform and is popular among companies for building customer relationships. It provides unified campaigns and chatbots for increased website conversion and revenue growth.

However, despite a widespread customer base and a comprehensive feature set, many users are keen on finding alternatives.

One of the primary reasons is its complex pricing structure, which can be potentially overwhelming for the average user. Many users find Intercom's user interface (UI) overwhelming, whereas many criticize its API for its confusing terminology and complexity, which can pose integration challenges. On top of it, Intercom’s insufficient customer support may present drawbacks for potential users.

That is why it is important to carefully consider each Intercom pricing point, as well as additional costs and variables such as company size and user count.

This article will deeply explore each aspect of Intercom pricing strategy and introduce some top-rated Intercom alternatives to ensure you get your money’s worth.

Overview of Intercom’s pricing plans

Intercom pricing plans come in a three-tier model as follows:  

  • Essential Plan: This entry-level plan is tailored for small teams and startups. It offers core features like a shared inbox, basic chatbots, and simple automations. This plan provides a solid foundation for businesses just starting to scale their customer engagement efforts, offering only the necessary tools.
     
  • Advanced Plan: Designed for growing businesses, this plan includes more sophisticated features. It offers multiple team inboxes, social media channel integration, and enhanced analytics. The Advanced Plan is ideal for companies experiencing growth, managing increased customer interactions efficiently, and requiring more robust tools for team collaboration.

  • Expert Plan: This top-tier plan caters to large enterprises with complex needs. It includes advanced features like workload management, custom roles, and enterprise-grade security. The Expert Plan provides maximum scalability and control, making it suitable for organizations with sophisticated customer engagement requirements and large teams.

  • Flexible Options: Intercom also offers various add-ons and both monthly and annual billing options. These flexible choices allow businesses to customize their plan according to specific needs and budget constraints.

Additional information

Some of the important points to note:

  • The monthly seat price depends on your chosen plan, with no maximum or minimum seats. 
  • Intercom offers an Early Stage Program for startups where they can receive up to 90% discount
  • Users can easily upgrade or downgrade between these plans
  • All plans include access to Fin AI Agent, an intuitive customer support chatbot,  with usage charged at $0.99 per resolution
  • Fin AI Copilot offers limited free usage (10 conversations per month per seat) on all plans, with an option to upgrade to unlimited usage for an additional fee
  • The Proactive Support Plus add-on is available for $99 per month across all plans
  • Each teammate requires a seat to get access to Intercom’s customer service solution
  • The Advanced and Expert plans feature several lite seats, which provide limited access to Intercom
  • A 14-day free trial is available
  • No credit card is required to avail of the free trial
  • You can also access the Pricing Calculator

Intercom’s pricing plans: A detailed breakdown

Essential Advanced Expert
Seat Price $29/seat/month
$348/yr

No lite seats

$85/seat/month
$1,020/yr

20 lite seats included

$132/seat/month
$1,584/yr

50 lite seats included

Key Features All the basic features include:
  • Shared inbox
  • Inbox views
  • Fin AI Agent
  • Fin AI Copilot
  • Basic chatbots and automations
  • Ticketing system
  • Public help center
  • Unlimited articles and collections
  • Help Center customization
  • Live chat
  • Email
  • SMS
  • WhatsApp
  • Calling
  • Banners
  • Chats
  • Tooltips
  • Custom objects
  • Custom events
  • Pre-built reports
Includes all features from the Essential plan, also offers:
  • Multiple team inboxes
  • AI summarize
  • Multilingual help center
  • Round robin assignment
  • Conversation topics
  • Teammate inactivity
  • Side conversations
  • Tickets portal
  • Fin AI Agent
  • Fin AI Copilot
  • Workflows for Fin AI Agent
  • Custom reports
  • Additional apps and integrations: Slack, Salesforce, Marketo and more
Includes all features from the Advanced plan, plus:
  • Workload management
  • Team office hours and reply time
  • Service level agreements (SLAs)
  • Multiple help centers
  • Switch: phone deflection to Messenger
  • Fin AI Agent
  • Fin AI Copilot
  • Extended API limit
  • Custom roles
  • SSO & identity management
  • HIPAA support
  • Multibrand messenger
  • Real-time dashboard
Best for Ideal for startups and small businesses with no or limited dedicated support teams. This plan is best suited for individuals, startups, and small businesses that are just beginning to scale their customer engagement efforts. Recommended for growing businesses with small to medium support teams and expanding operations. This plan is suitable for startups and small businesses that have a growing customer base Designed for small businesses to mid-market companies with medium to large support teams and established operations

An in-depth look at the Intercom pricing strategy

Now that you have a fair idea of Intercom's pricing plans let’s explore how they calculate pricing and additional costs.

Factors influencing Intercom pricing

Calculating your monthly Intercom invoice could be challenging. Once you integrate Intercom into your workflow, there are these key factors that come into play:

1.Fin AI Agent-driven resolutions

As noted above, if you have installed the Fin AI Agent chatbot, you are charged $0.99 monthly for each resolution.

2.People reached

This calculates the total number of unique customers you've contacted across all your communication channels. It essentially counts every customer you've sent a message to, regardless of the channel.

That means if you sent 100 emails and 50 bounced, you’ll still be charged for the 100 people reached. It also considers people who have received and engaged with an outbound message. 

3.Seats

  • Full seats: Each teammate using Intercom must have a designated full seat, which provides access to products and features within your chosen plan.

  • Lite seats: Included in Advanced and Expert plans, Lite seats offer limited access to Intercom for cross-functional collaboration at no extra cost. The Essential plan does not include Lite seats.

  • Additional seats: Each additional agent seat is charged extra based on your subscription plan. Each additional seat on the Essential plan may be added for $39/month, $99/month for the Advanced plan and $139/month for the Expert plan.

Intercom pricing: Additional costs

To enjoy Intercom to the fullest, you have to pay for a set of additional costs:

1.WhatsApp

Intercom has different pricing for inbound and outbound WhatsApp and is charged per ‘conversation.’ The unit costs vary by volume.

2.SMS

SMS is charged per the ‘SMS sent and/or received’ number. The unit cost and prices may vary by volume and region, respectively.

3.Emails and email Campaigns

All email campaigns are charged per the number of ‘bulk emails sent’ — emails sent to more than one customer. Emails sent from the inbox or the inbound emails from your customers and responses to those emails are included in your plan at no additional charge.

4.Proactive Support Plus & Messages Sent

If you purchase Proactive Support Plus, you can access several capabilities, including product tours, surveys, in-app posts, mobile push, and mobile carousels. 

The base fee is $99/month for 500 messages sent monthly. Messages sent above 500/month are charged additional costs and are charged per ‘message sent.

Intercom pricing plans: Pros & cons

Based on extensive research and thousands of customer reviews, we found the following pros and cons of Intercom from a pricing viewpoint:

Pros:

1. Fin, a worthwhile investment: Even though Fin, the chatbot, comes at an additional cost, users have expressed their satisfaction with its use. It is easy to set up and provides value for money.

Source

2. Free trial and discounts for startups: Intercom offers a free trial on all plans, which allows users to test features before committing. It also offers an Early Stage Program for startups with up to a 90% discount. Users like SaaS startup owners with over three years of experience using Intercom have expressed that it provided significant cost savings during the first year.

Source

Cons:

1. Can become expensive: A small business owner with 50 or fewer employees noted that Intercom prices start to get hefty once you exit the early stage program, which offers up to 90% discount.

Source

2. Support plans can be costly: A user in a small company with 1-10 employees who has been using Intercom for more than 2 years expressed difficulty accessing support. Paid support starts at $59 a month, which can be expensive for small businesses.

Source

5 cost-effective alternatives to Intercom

Evidently, Intercom's pricing can be complex and unpredictable, with hidden costs that quickly add up. To help you avoid overspending, we've compiled a list of Intercom alternatives that offer comparable or even superior features at a more affordable price.

1. Plivo CX 

Source

Plivo CX is a cloud-based, all-in-one omnichannel customer service platform that empowers businesses to deliver exceptional support experiences across multiple channels.

With its unified agent desktop, your team can seamlessly handle customer conversations via email, voice, SMS, WhatsApp, and live chat from a single interface. This streamlines your support operations and ensures a consistent customer experience.

Skills-based routing ensures that calls are directed to the most qualified agents, while multi-language support allows you to cater to a global audience.

One of the standout features of Plivo CX is its integration with OpenAI-powered chatbots. You can easily train and deploy smart chatbots to handle routine inquiries automatically. Use the no-code visual workflow builder to create custom workflows and automations for better convenience.

Plivo CX also offers wide-ranging integrations with your existing tech stack, including CRM, ERP, order management, payment systems, and helpdesk tools. Additionally, real-time analytics and customizable reports give you valuable insights into your team's performance and customer interactions.

Plus, with features like call recording, internal notes, and collaboration tools, Plivo CX facilitates knowledge sharing and continuous improvement within your team.

Finally, the platform prioritizes security and compliance, ensuring that your customer data is protected and your support operations adhere to the latest industry regulations. 

Why is Plivo CX a better alternative?

Plivo CX addresses several limitations of Intercom, particularly in terms of pricing, channel flexibility, integration capabilities, and more. These advantages make Plivo CX a compelling alternative, especially for businesses seeking a more cost-effective, flexible, and feature-rich customer service solution.

Let’s go over the key advantages of Plivo CX:

  • Cost-effective pricing: Plivo CX provides significantly better value, with chat-only packages starting at half the price of Intercom's equivalent offerings. This makes Plivo CX a more accessible option for small teams and startups with limited budgets.

  • Advanced voice capabilities: While Intercom's voice channel is basic, Plivo CX leverages Plivo’s premium carrier network, available in over 220 countries. This proprietary telecommunications infrastructure provides a more advanced, low-latency, and reliable voice communication solution. This particularly helps businesses that heavily rely on voice support.

  • Faster issue resolution: Unlike Intercom, Plivo CX allows agents to switch between channels seamlessly or use multiple channels simultaneously. Such flexibility enables quicker issue resolution and a more efficient customer service process.
  • Comprehensive integration capabilities: Plivo CX offers custom integrations with home-grown systems, a feature not available in Intercom.
  • Superior monitoring and supervision: The tool offers enhanced capabilities for monitoring and supervising customer interactions, a feature that Intercom lacks. 
  • Omnichannel communication: Plivo CX enables seamless communication across multiple channels, including voice, chat, SMS, and WhatsApp, all from a single platform. This comprehensive approach to omnichannel support is more advanced than Intercom's offering.

Plivo CX Pricing:

Omnichannel (annual plans)

  • Growth: $29 per user per month
  • Business: $69 per user per month
  • Enterprise: Available on request

Voice-Only (annual plans)

  • Growth: $25 per user per month
  • Business: $40 per user per month
  • Enterprise: Available on request

Chat-Only (annual plans)

  • Growth: $15 per user per month
  • Business: $30 per user per month
  • Enterprise: Available on request

2. HelpCrunch

Source

HelpCrunch allows agents to easily manage customer interactions across multiple channels from a single tool. In addition to email and live chat, this platform supports other messaging platforms such as Facebook, Instagram, and WhatsApp. 

It also features a knowledge base builder to help customers find helpful information independently.

Why is HelpCrunch a better alternative?

  • Offers free data migration from Intercom
  • Features a chatbot with a no-code visual editor and bot templates that can be launched immediately
  • Provides an integrated knowledge base with built-in SEO features, which is included in all pricing plans

HelpCrunch Pricing:

Monthly plans

  • Basic: $12/user/month 
  • Pro: $20/user/month 
  • Unlimited: $496/month

Annual plans 

  • Basic: $10/user/month
  • Pro: $16/user/month
  • Unlimited: $396/unlimited user/month

3. Freshdesk Omni

Source

Freshdesk Omni customer service suite is an AI-first, all-in-one solution that provides a seamless customer experience across all channels. It features automated self-service and an advanced ticketing management system for issues requiring team collaboration.

This suite offers omnichannel support for creating a convenient and cohesive work environment.

Why is Freshdesk Omni a better alternative?

  • Includes bespoke email marketing campaigns, data encryption, and a mobile app for on-the-go communications
  • Prioritizes customer service with 24/7 email support and 24/5 phone and chat for paid plans 
  • It offers a free plan, which is missing in Intercom

Freshdesk Omni Pricing

Monthly Plans

  • Growth: €35/agent/month ($37)
  • Pro: €83/agent/month ($89)
  • Enterprise: €131/agent/month ($141)

Annual plans

  • Growth: €29/agent/month ($31)
  • Pro: €69/agent/month ($75)
  • Enterprise: €109/agent/month ($117)

4.Twilio

Source

Twilio consists of a set of application programming interfaces (APIs) that enable businesses to receive voice and video calls and send and receive SMS, WhatsApp, and email communications. It is built on a pay-as-you-go pricing model, and the Twilio API allows developers to integrate the tool into their applications easily.

Why is Twilio a better alternative?

  • Highly scalable and viable for businesses of any size
  • Offers a free trial, and pricing is based on feature usage
  • Provides interactive audio and video options and a large database for analyzing customer data

Twilio Pricing:

  • Free: $0
  • Contact sales for a customized quote

5.Zendesk

Source

Zendesk is a cloud-based customer support software offering a ticketing system for efficient organization and prioritization of support requests. It enables customer service agents to manage inquiries, issues and feedback through a user-friendly interface. 

Zendesk also features multi-language support, allowing businesses to cater to a worldwide customer base.

Why is Zendesk a better alternative?

  • Zendesk offers 1500 no-code apps and integrations, while Intercom provides just over 450 integrations
  • Offers a dedicated workforce management system and real-time and historical reporting
  • Offers an omnichannel experience with an intelligent ticketing system and embedded call center software

Zendesk pricing:

  • Support team: $19/agent/month, when billed annually
  • Suite team: $55/agent/month, when billed annually
  • Suite professional: $115/agent/month, when billed annually
  • Suite enterprise: Talk to sales, when billed annually

Experience maximum ROI and true value for money with Plivo CX 

Despite the strengths of Intercom, the pricing and other downsides could signal startups and SMEs to switch to a more cost-effective and suitable option. 

Plivo CX steps in as a reliable alternative. You get to deliver remarkable customer service with the same features—that too at half the price! Plus, you don’t have to pay an additional price for basic features such as voice, SMS, and WhatsApp—all packed in our omnichannel packages.

Unlike Intercom, Plivo CX offers one-on-one onboarding and implementation support at no additional cost. It also includes pre-configured and custom integrations, while Intercom offers only pre-configured integrations.

Apart from budget-friendly pricing, Plivo CX offers these key features: 

  • Unified agent desktop to provide effortless and omnichannel customer service across email, voice, SMS, WhatsApp, and live chat
  • OpenAI-powered self-service chatbots to help users find solutions to complex queries independently and around the clock
  • Integration with your existing tech stack, including homegrown systems, ERP, CRM, and helpdesk tools for a holistic view of customer data
  • Drag-and-Drop Workflow builder to build automated customer journeys across all communication channels
  • Metrics and Reporting to analyze customer interactions and collect feedback in real-time 
  • Call recording, barge and whisper to coach your agents effectively  

Sounds interesting? Schedule a demo now!

Oct 28, 2024
5 mins

Top 40 SMS Marketing Statistics You Must Know

Learn how SMS marketing drives profits and customer experiences. Read our blog for the top 40 SMS marketing statistics!

SMS Marketing
Industry Insights

It's interesting how SMS marketing still remains such a formidable tool. With all the new ways to communicate, like instant messaging apps and email, you'd think good old-fashioned texting would be a thing of the past. 

But it's still going strong.

Think about it: if you're putting together a marketing campaign and want to reach your customers directly, SMS is a fantastic option alongside your emails and social media posts. It's like getting a message right in your pocket! Plus, SMS marketing can be really cost-effective and deliver a great return on your investment.

But the question is, how do you ensure SMS can actually perform better than many other marketing channels? What are the leading benchmarks? And most importantly, what are some examples of successful campaigns where SMS marketing has held true to its promise? 

To answer such queries, we have compiled 40 SMS marketing statistics in this article. Let’s see what the numbers really tell us about SMS marketing. 

Widespread SMS marketing adoption rates

According to PwC’s Mobile Messaging Adoption Report 2021, businesses are preferring SMS marketing because it helps:

  • Generate cash flow
  • Reach out to customers promptly 
  • Engage more customers 
  • Reduce administrative burden and cut costs 

The same PwC report estimates the top industries that are increasing their spending and adoption rates:

Industry Industries adopting SMS marketing
IT & telecom 35%
Retail/wholesale 33%
Finance & banking 36%
Professional/Administrative 18%
Manufacturing 23%

Why are businesses adopting SMS marketing

As per a 2020 Infobip report titled How RCS is Redefining Business Communications, here is why businesses are adopting SMS marketing:

  1. Answering customer questions: 58%
  2. As a direct marketing channel: 57%
  3. Cultivating customer loyalty: 47%
  4. Building brand recognition: 46%
  5. Distinguishing themselves from competitors: 40%
  6. Building brand recognition: 46%
  7. Cultivating customer loyalty: 47%
  8. Distinguishing themselves from competitors: 40%
Source

High engagement and open rates

As per SimpleTexting’s State of Texting and SMS Marketing 2023 study, 80% of consumers check their text notifications within five minutes, with 47% of GenZ customers checking once every 10-30 minutes. 

This results in high engagement and open rates for SMS marketing campaigns.

Text messages bypass email filters and are delivered directly to phones, which increases their chances of being read. Plus, the character limits make messages easier to skim while adding a personal touch with clear CTAs and offering timely updates.

Here is how open and response rates vary for text messages and emails:

  1. Open rate: 98% (text messages) and 20-30% (emails) 
  2. Click-through rate (CTR): 36% (text messages) and 19% (emails)

Here are some more SMS marketing statistics that highlight why businesses must choose text messages:

  1. The average response time for text messages stands at 90 seconds.
  2. 28% of younger customers prefer texting over other communication channels. 
  1. 91% of consumers have opted for at least one brand’s SMS alerts.
  2. SMS is a preferred communication channel for 52% of customers.
  3. 90% of people read a text message within the first 3 minutes. 

SMS effectiveness in driving conversions

SMS marketing is perfect for limited-time offers, as users are more likely to open texts promptly than emails. Brands can also announce flash sales via SMS to create a sense of urgency and get quick engagement.

For example, e-commerce companies can send automated reminders to customers who have abandoned their carts. Restaurants can also notify their members of daily specials or appointment reminders.

This drives conversions as users are more likely to open text messages than emails. Let’s check out some statistics that illustrate this better: 

  1. SMS marketing conversion rates reach as high as 25%.
  2. Domino’s Pizza boosted its ROI not through video ads or TV but through SMS advertising. It cut down its CPC to 15 cents.
  3. According to an Omnisend report, the conversion rate for email marketing was 0.07%, and for SMS, it was 0.28%. This indicates that SMS marketing has a conversion rate four times higher than that of email marketing.
  4. SMS accounts for 26% of all SMS orders from just 13% of sends, showing that SMS marketing drives superior sales growth.
  5. US customers who opt-in for brand SMS messages are 87% more likely to purchase. 

Personalization and customer experience

Based on past interactions, you can send customized messages that include customer names, order details, and recommendations. This is achieved when you segment the audience based on demographics, purchase history, and behavior. 

Such segmentation helps you personalize text messages and improve engagement and conversion rates. 

For instance, you can personalize messages for birthday greetings, special campaigns, specific preferences, and reminders for abandoned carts. This approach not only makes customers feel valued but also builds a stronger connection with the brand, ultimately driving loyalty and sales.

  1. 91% of consumers are more likely to interact with brands when they provide personalized offers and recommendations.
  2. 34% of consumers become annoyed by SMS messages irrelevant to their needs and interests.
  3. Half (50%) of customers want to receive incentives or coupons when opting in for SMS messages.
  4. 90% of customers are more likely to make a purchase if SMS is personalized. 
  5. 31% of consumers sign up for SMS marketing for more personalized SMS messages, such as to receive birthday, anniversary, and other special day discounts
  6. 60% of US consumers prefer digital coupons to traditional paper coupons.
  7. Sending too many irrelevant marketing messages can drive customers away. 47% of customers found such texts annoying, and 28% stopped using the brand.
  8. 53% of customers unsubscribe when they receive no-purpose SMS messages from brands and 46% unsubscribe when messages from brands are about products they aren’t interested in.
  9. 15% of customers want to receive reward points for making purchases. 
  10. According to Validity Research data, messaging too frequently (49%), duplicate messages (29%), or messages sent at inappropriate times (17%) reduces customer experience, making them 58% likely to unsubscribe from SMS messages from the brand. 

Transactional SMS: building customer trust

By providing real-time updates and confirmations, you can reduce some customers' purchase-related anxiety. These updates could be security alerts or even password reset codes. 

This addresses common customer concerns and prevents them before they arise. Such personal messages improve customers’ trust in the brand. 

Transactional SMS efforts perfectly complement marketing efforts by sending quick reminders for upcoming events or loyalty program updates. The main aim is to ensure customers feel valued and connected to the brand at every stage of their journey.

As per this report, here are the top 5 SMS marketing statistics:

  1. 64% of consumers want to receive more delivery confirmation SMS messages.
  2. 60% of customers want to receive text messages about product shipment confirmations.
  3. 50% of consumers confirmed that they would also like to receive order confirmations.
  4. 29% of customers want to receive SMS updates about loyalty programs and benefits.
  5. 30% of consumers would like to receive back-in-stock notifications, and another 17% wanted  reminders about items left in their carts 

Let’s go over some more SMS marketing statistics that show consumer behavior towards transactional SMS:

  1. 58% of consumers subscribe to SMS marketing to receive transactional updates.
  2. More than 90% of customers expect a response within a day when they reach out.
  3. 41% of customers sign up for SMS messages to receive shipping notifications.

SMS marketing and customer retention

SMS is also a smart tool for customer retention. You can send early access to promotions, new product updates, and exclusive offers, keeping your loyal customers engaged. You can strengthen this connection further through quick feedback requests and personalized recommendations.

Such regular updates keep the brand at the top of mind and help maintain long-lasting customer relationships while encouraging repeat purchases. Here are some SMS marketing data you must know

  1. 58% of marketers see a noticeable impact on customer re-engagement and retention after adopting SMS marketing. 
  2. 56% of customers were instantly reminded about the brand they forgot due to an SMS message they received.
  3. 79% of marketers utilize SMS to retain their customers.
  4. 35% of consumers subscribe to SMS to make purchases during sales.
  5. Sharing SMS messages on products the consumer is interested in makes 57% of consumers less likely to unsubscribe.

Reach your customers right when it matters with Plivo CX

As an omnichannel customer engagement tool, Plivo CX provides an SMS marketing platform that integrates with Shopify. This allows you to leverage customer data to create targeted, personalized campaigns that drive engagement and revenue. 

Here are some key things Plivo CX can do for SMS marketing:

Targeted SMS campaigns

  • Leverage first-party data from your Shopify store to run targeted SMS campaigns
  • Create campaigns tailored specifically for each user based on their profile details and event data
  • Use AI assistance to write audience-specific content that inspires action

Customer engagement

  • Delight first-time sign-ups with warm welcomes and exclusive discounts
  • Re-engage current customers with personalized promotions, restock notifications, back-in-stock alerts, reward program updates, and more
  • Proactively interact with users through SMS workflows to drive engagement, upsells, and repeat purchases

Abandoned cart recovery

  • Recover abandoned carts by leveraging browsing activity data

Rapid campaign creation

  • Set up high-impact SMS campaigns in seconds, perfect for flash sales or time-sensitive promotions
  • Easily connect to your Shopify store and sync contacts, key data points, and Contact Properties

Analytics and optimization

  • Get detailed analytics on ROI, revenue generated, and conversion rates to continually optimize campaign performance

Secure and reliable messaging

  • Securely deliver each message on time every time
  • It is GDPR compliant, 10DLC compliant, and SOC2 certified

To learn more, schedule a demo now!

Oct 28, 2024
5 mins

The Ultimate Guide to AI Chatbots in Customer Service

Learn how chatbots are revolutionizing how customer support is handled and how to leverage a chatbot to enhance user experience

Customer Service
Chatbots

Customers today have high expectations: proactive service, personalized interactions, consistent experiences across channels, etc. In fact, Salesforce found that 80% of customers value the overall experience as much as the product itself.

So, how do you deliver the expected levels of customer experience?

Sure, you can hire more people and train them to provide better customer support, but this increases costs in the long run. Plus, you cannot overrule human errors.

An AI customer service chatbot is the solution to overcoming these limitations. They are available 24/7, offering personalized interactions, consistent service across channels, and scalable support while reducing costs and errors.

This blog post discusses AI chatbots for customer service, their types, benefits, and best practices to help you get started. We also explore the key chatbot features you should look for and highlight how Plivo CX can help.

What is an AI chatbot? 

An AI customer service chatbot is a computer program designed to simulate conversations with humans. These intelligent chatbots leverage NLP and ML algorithms to understand customer queries better, initiate human-like conversations, and offer appropriate responses.

From basic questions like "What's the price of this product?" to complex queries like "Can you help me choose the best moisturizer for my skin type?" you can use these chatbots to engage users and guide them to the next step in the sales process. 

What sets AI chatbots apart is their ability to go beyond pre-programmed responses and generate human-like answers using large language models and semantic understanding. They can even complete tasks and guide users through the sales process. 

The best part? You can create an AI customer service bot to work seamlessly across different platforms, including apps, websites, social media, and messaging services.

Key features to look for in an AI customer service chatbot

Zendesk’s CX Trends 2024 report shows that 83% of CX leaders using generative AI and evolved chatbots report positive ROI. However, due to the abundance of AI-powered chatbots in the market, choosing the right chatbot platform is not quite easy. Look for these key features before selecting the best AI chatbots for customer service

  • Omnichannel support: An AI support chatbot that can help you serve customers across multiple channels—websites, email, social media, SMS, live chat, and messaging platforms. It helps you meet customers at their most-used channels and provide a consistent brand experience
  • Live chat handover: Live chat tools should seamlessly transfer complex queries to human agents, ensuring customers receive the specialized support they need
  • Data security: AI customer service chatbots must prioritize data security. This requires robust protocols like end-to-end encryption, secure data transfer (HTTPS and SSL/TLS), and strong encryption for stored data (AES-256).
    Also, RBAC, regular security audits, and penetration testing are essential.

    Chatbots should minimize data collection, implement strict data retention policies, and comply with regulations like GDPR and CCPA. Transparency about data usage and user control are also required.
  • Reporting and analytics: An AI customer support chatbot platform with advanced reporting and analytics tools helps you track customer behavior, chatbot performance, and conversational flows to understand how effective it is in improving customer experience 
  • Multilingual capabilities: Multilingual customer support helps you expand your business and cater to diverse audiences across the globe
  • Integration: A chatbot that can integrate with CRMs, supplier databases, inventory management systems, help desks, and knowledge bases can easily get a unified view of customer data and provide instant responses
  • Customization and branding: Look for AI chatbots that allow you to customize the user interface, tone, and personality to align with your brand identity

  • Scalability: As your business grows, the chatbot should be able to handle increasing volumes of customer interactions without compromising performance

  • Knowledge base integration: Tools that can integrate with your existing knowledge base can provide instant, accurate answers

  • Sentiment analysis: AI chatbots with sentiment analysis capabilities can detect and respond to customer emotions, allowing them to provide empathetic support

Benefits of AI chatbot for customer service

According to an Ipsos report, 68% of consumers have used a customer service chatbot. As we delve into the benefits of AI chatbots, it becomes evident that they offer a multitude of advantages that can significantly improve the customer service experience, such as:

  • More efficiency: AI chatbots relieve your agents of repetitive tasks like answering simple queries, routing and categorizing customer issues, collecting feedback, and scheduling appointments. An IBM report states that chatbots can resolve up to 80% of routine customer inquiries.

    The result? They can save time and concentrate on more productive and strategic tasks, improving the overall efficiency of the business
  • 24/7 availability: Looking to expand your business across countries and planning to hire support agents to work in shifts? Instead of employing agents in different shifts, you can utilize an AI customer service bot to offer 24/7 customer support and solve customer issues across different time zones without any hassle

  • Reduced operational costs: With an AI customer service chatbot, you can maintain the same number of agents while scaling your business as they decrease the reliance on humans to handle multiple customer service queries, reducing operational expenses. Invesp notes that AI chatbots can reduce customer service costs by up to 30%
  • Enhanced customer experience: Hubspot's research shows that 90% of customers rate immediate responses from businesses as an “important” or “very important” factor when they have a customer service question. 

In this case, chatbots can take care of 30% of live chat communication. They can significantly improve customer experience by providing instant and more personalized responses. They provide personalized recommendations to customers as well 

Types of AI chatbots for customer service

AI chatbots for customer service solve different purposes according to your business needs and requirements. The three major types of AI customer service chatbots include:

  1. Social media bots: AI-powered social media bots are built to integrate seamlessly with platforms like Facebook Messenger, Instagram DMs, Twitter/X, WhatsApp, and others. They can manage numerous customer conversations simultaneously and access customer data to provide more personalized responses
  1. Support bots: Customer support bots leverage AI algorithms to interpret human conversations and respond to queries with relevant information, which reduces customer wait times 

Agent-assist bots: Often, agent-assist bots act more like ‘personal assistants’ for human customer support agents by automating tasks like onboarding, training, and collecting information from new support agents

Chatbot types Use case Best for
Social media bots Provides customer support across social media platforms Online businesses
Support bots Offers omnichannel customer support E-commerce businesses
Agent-assist bots Helps with training and onboarding new human agents Any business handling a large number of human support agents

10 tips for using AI customer service chatbots

According to Hubspot’s 2022 report, 90% of customers consider an immediate response to be "important or very important" when they have a customer service question.

 Implementing the best chatbot practices can help you achieve this and improve customer service. The following tips can help you maximize the use of AI chatbots:

1. Deliver personalized customer experience 

Personalized user experience improves customer centricity and gains users' trust.  AI chatbots help deliver a personalized customer experience by:

  1. Analyzing data from diverse sources, including browsing history, purchasing patterns, previous interactions, and preferences, to understand users' preferences  and pain points and personalize product recommendations 
  2. AI chatbots for customer service can also personalize conversations by using NLP algorithms, interpreting users' language to adjust its tone, and offering more empathetic responses to users

2. Use buttons to accelerate conversations 

Your customers don't always have to type it out entirely to express themselves. You can offer buttons with suggested responses for them to easily click and provide responses, ensuring a faster and more convenient experience. 

3. Disclose your AI chatbot 

Be transparent with your customers by letting them know they're talking with an AI customer service bot, not a real human support agent. This will set clear expectations for your customers and promote trust. 

For example, the chatbot can announce this at the beginning of the conversation with a statement, “Hi (customer name), I’m Mike, Company X’s AI-powered chatbot. How can I help you today?”

4. Escalate complex queries to human agents 

If you train it properly, an AI customer service bot can efficiently handle most of the complex queries. However, it can struggle during instances that demand critical thinking, deep reasoning, and multi-step problem-solving. 

In such cases, your chatbot must automatically transfer these complex queries to a dedicated team of human customer support agents to maintain a consistent customer experience.

Plus, you can train the chatbot to understand the user's sentiments, such as frustration and dissatisfaction, and include a feature that allows users to connect seamlessly with human agents.

5. Humanize the chatbot

If customers receive blunt responses from a salesperson in a brick-and-mortar store, they might feel disconnected from the brand. 

Similarly, answering customer queries with dull and robotic responses can make your customers feel unheard, misunderstood, and disconnected. This is why humanizing your AI customer service chatbot is critical to improving response rates and delivering a delightful customer experience. 

Here are some ways to humanize your chatbot:

  • Give your chatbot a name, personality, and character to connect with your users and differentiate your bot from competitors
  • Include images, GIFs, videos, and emojis in your chatbot's database, and train your bot to use these visual media appropriately 
  • Choose the language and tone for your chatbot depending on your brand and target audience. It can range from formal, conversational, friendly, playful, and professional tone to answer queries according to the user's expectations 
  • Integrate contextual memory and enable your chatbot to remember and refer back to previous interactions within the same conversation. This allows for more natural, flowing dialogue and demonstrates attentiveness
  • Use conversational fillers like "hmm," "well," or "let's see" to make responses feel more natural and less robotic
  • Implement advanced NLU to better interpret user intent
  • Apply proactive engagement to allow the chatbot to initiate conversations based on user behavior, like offering help if a user seems stuck on a page

6. Train the AI chatbot 

Your AI chatbot for customer service is only as effective as it understands user queries and responds appropriately. Therefore, training and equipping your chatbot with the right knowledge bases and resources is critical to providing exceptional customer service. 

The ML model should include relevant and clean data, such as transcripts of customer-agent conversations and a history of customer queries. Let the chatbot study these interactions to analyze patterns, different queries, and human emotions to address user issues accurately.

7. Customize the chatbot 

Keeping your brand identity in mind, customize your chatbot with open-response or multi-choice questions, media elements, emojis, and design elements to enhance your brand image, hook audiences, and increase response rates. 

Additionally, you can program the chatbot to provide responses that are relevant to the user's current situation, such as their location, time of day, or recent actions on your website. 

Moreover, adapt your chatbot's appearance or responses for special occasions, holidays, or promotional events to keep the experience fresh and relevant.

8. Set up KPIs and metrics and analyze performance

How is your chatbot performing? Is it helping you achieve your customer support goals? To answer these, set up relevant KPIs and monitor them consistently to gain insights into customer satisfaction and improve the performance of your AI chatbots for customer service.

Some of the common KPIs that you can start measuring include: 

  • Average resolution time
  • Average handle time 
  • Number of tickets 
  • Number of resolved tickets
  • CSAT
  • Chat handoff 
  • Daily conversation volumes 
  • Bounce rate 
  • Bot-to-human escalation time
  • FCR rate
  • Goal completion rate
  • Cost per conversation

Track these metrics to make data-driven decisions and build strong relationships with your customers. 

9. Don't send huge walls of text

Don’t let your AI customer service chatbot respond to users with large blocks of text. This can overwhelm or frustrate users, pushing them to leave the site and switch to competitors. 

Break the text into simple and easy-to-digest sections to help your customers understand the context of the conversation and interact further. Add images or interactive elements to facilitate the narrative flow and illustrate solutions. 

10. Ensure customer data security and privacy 

Implement and follow stringent data protection measures while collecting, storing, and accessing customer data to ensure compliance with GDPR, SOC 2, and HIPAA regulations. 

You can also communicate your AI customer service bot’s data security measures with your customers to enhance trust. 

Real-life examples of AI chatbots in customer service

Now, let's explore the efficiency and ease that AI chatbots for customer service offer with two real-life examples. 

Dominos

‘Dom, The Pizza Chatbot’ by Domino’s offers customer support service in a humorous and conversational tone. It helps users order food, track their delivery status, and reorder via various messaging platforms such as Amazon Alexa, Facebook Messenger, and X. 

This chatbot has helped the brand improve customer engagement and satisfaction. 

Domino's ‘Dom Chatbot

Sephora 

Sephora is another brand that revolutionized the customer experience with an AI customer service chatbot. From providing personalized beauty product recommendations and matching virtual experiences with real ones to recognizing customers' faces and tracking facial elements, Sephora transformed its customer experience. 

Sephora’s Virtual Assistant 

Plivo CX AI chatbot overhauls customer service

Plivo CX's self-service chatbot, developed and powered by OpenAI, delivers exceptional omnichannel customer service for businesses of all sizes. The AI chatbot does the following:

  • Resolves queries instantly: Acts as an AI-powered customer service agent, providing immediate answers and support
  • Improves team efficiency: Handles simple inquiries automatically
  • Offers 24/7 support: Is available around the clock to answer customer questions, even letting customers pause and resume conversations
  • Provides consistent and on-brand support: Reflects your brand identity and adheres to your company's policies and guidelines
  • Takes action: Can handle tasks like processing exchanges, updating information, and tracking orders
  • Escalates seamlessly: Summarizes and passes complex issues to human agents when needed
  • Easy to update: Can be quickly updated with new product info, promotions, or policy changes

Beyond chatbots, with a wide range of other features, Plivo CX’s omnichannel customer service platform efficiently handles huge volumes of customer queries and reduces the workload for human agents. These features include:

  • Omnichannel capabilities: Unify, track, and manage customer conversations across channels, including email, voice, SMS, WhatsApp, and live chat

  • Visual workflow builder: Create custom workflows  without coding and use automations using a simple drag-and-drop interface

  • Streamline support: Plivo CX uses AI to prioritize urgent tickets, improving response times. It also ensures brand consistency by training AI agents to reflect your company's voice and policies

  • Integration: The Plivo CX platform seamlessly integrates with your existing tools, such as homegrown systems, ERP, CRM, and helpdesk tools
  • Real-time analytics: Analyze real-time customer interactions to identify loopholes and improve chatbot performance and service

  • More productivity: Streamline agent workflows with message templates and internal notes, facilitating efficient conversation transfers and task management

  • Agent coaching tools: Train your human support agents with features such as call recording, barge, and whisper to enhance human agent performance 

Book a demo to learn more.

Oct 28, 2024
5 mins

Personalized Customer Service: How To Do It Right

Personalizing your customer service results in high satisfaction index, increased ROI, and better retention rates. Here’s how to do that.

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How does it feel when a customer service rep doesn't get what you're saying, just gives you the same old responses, and makes you feel like you're talking to a brick wall? 

Frustrated, unheard, and angry—and ready to ditch the brand for an alternative. 

Worryingly, that’s exactly how your customers feel when you offer them generic customer service support. 

According to the latest data, 76% of consumers said receiving personalized communications was a key factor in prompting their consideration of a brand, and 78% said such content made them more likely to repurchase.

To help you capitalize on this trend, we discuss in this detailed guide how you can conveniently and strategically personalize your brand’s customer service further.

What is personalized customer service?

According to Salesforce data, 66% of customers expect brands to cater to their unique needs. In a nutshell, personalized customer service involves identifying, understanding, and uniquely addressing your customers' pain points based on their individual preferences and needs.

Here’s a breakdown of how this typically works:

Understand the full context of customers’ issues

Beyond the complaints customers have made, you should investigate their past purchase history, website behavior, and previous support interactions to uncover patterns and preferences.

For instance, a customer might prefer communicating through emails over calls or web chats. In this case, sticking to phone call resolution over their communication preference will result in a poor experience even if you solve the problem. 

As an all-in-one, omnichannel customer service platform, Plivo CX can offer your customers multiple alternative communication channels: email, voice, SMS, WhatsApp, and live chat.

Also, all of your business system is integrated to our Unified Agent Desktop, so you get a 360° view of customers’ issues and serve them accordingly without requiring to switch tabs.

Unique customers, tailored solutions

Based on the data from your research, you have to develop tailored solutions to each customer’s problem.

For instance, a three-year customer might not need much explanation or additional guidance besides the first call on how to renew a subscription. But new customers will need all the assistance they can get, including detailed guides, video instructions, pre- and post-follow-up calls, etc.

Salesforce also notes that customer loyalty depends heavily on how well a company understands its needs, for example, 70% of consumers. So, if you’re not personalizing, you’re missing out on significant sales revenue and high-value customers.

The benefits of personalized customer service

81% of customers want brands to know and understand more about them, including when to approach and when not to, where to approach, and how to approach when assisting. 

Here are a few reasons why this personalized customer service is important:

1. Improves customer satisfaction

While overall customer satisfaction has improved, your customers are raising the bar and demanding more from the brands they choose. For example, 91% of consumers are more inclined to shop with brands that provide relevant offers, demonstrating the power of targeted marketing.

Source

By implementing a personalized approach to customer service and addressing your buyers’ needs with individualized attention, you can help them feel fulfilled and valued. 

This ultimately improves the satisfaction index and helps your customers find a positive experience.

2. Drive new sales and prevent drop-offs 

Personalization creates satisfied customers, who are more likely to become recurring customers. Interestingly, Forbes notes that 58% of consumers are willing to pay more for a better customer experience. 

Source

Additionally, a Bain & Company report indicates that a high satisfaction rate translates into high retention rates. For example, increasing retention rates by just 5% boosts profits by 25-95%.

This, in turn, enhances marketing ROI and reduces CAC significantly.

3. Promotes brand loyalty

Unsurprisingly, personalized support experience results in higher brand loyalty. In a 2020 report by ConverSocial, 96% of customers say they’ve become more committed to a brand after a positive experience.

Committed customers stick longer with your business than other customers. Moreover, they are also good brand advocates and are 5.1x more likely to recommend your brand, according to a 2022 report by Qualtrics.

4. Builds supportive customer communities

When you provide individualized experiences to each customer, you make them feel heard and included in your entire work process. This approach fosters a sense of belonging and community, encouraging customers to engage with your brand and each other. 

As a result, you develop a loyal base of customers who feel invested in your brand's success and are more willing to assist other buyers. For example, 92% of customers are open to using a knowledge base, with 83% saying they would also use a community forum for help if it was available.

5. Increases engagement

Happy customers tend to engage more with brands. This includes opening promotional emails more often, responding to social media posts, participating in community forums, or even leaving a review after every positive experience. 

Increased engagement, in turn, fosters good customer-brand rapport, higher lifetime value, brand advocacy, and reduced CAC.

6. Enables competitive differentiation

Did you know, 73% of businesses providing a personalized customer experience perform financially better than competitors? They are often regarded as consumers’ favorites as well because:

  • Customers are more likely to recommend you to their friends and families, thus becoming your best foot forward for gaining more prospects. This gives you a lead-acquisition edge over brands that are not doing the same.
  • Positive reviews from previously satisfied customers enhance your overall reputation and can be leveraged to attract prospects who consider such reviews before interacting with a brand. 

According to Spiegel Research Center’s report, a minimum of 5 reviews on a landing page can increase conversions by up to 270%.

7 challenges to delivering personalized customer service

Despite the benefits, several challenges are lined up for marketers to deal with. 

For instance, Salesforce’s 2022 Customer Engagement Research report notes that while 88% of companies believe they deliver personalized customer experiences, only 60% of consumers feel they receive such a service, illustrating a notable "personalization gap."

Here are some major challenges you must know: 

1. High volumes of data

The more you know your customers, the easier it is to provide tailored service. Therefore, effective personalization relies on data—purchase history, browsing behavior, customer demographics, interaction records from customer support, feedback from surveys and reviews, etc. 

However, the voluminous nature of this information also presents difficulties, especially for companies lacking the appropriate tools for data collection, management, and use. 

Capital One reports that over 76% of organizations find it difficult to even understand the data they collect, and others say their company simply lacks the human talent to handle it.

2. Siloed data

Many businesses unwittingly hinder their personalization efforts by isolating customer support from other departments like sales, product, and marketing. This creates data silos, preventing valuable information from being shared across teams.

Think about it:

  • Marketing gathers crucial insights into customer preferences, campaign engagement, and lead sources.
  • Product teams track usage patterns, feature adoption, and feedback on product experiences.

So, there must be a synergy by connecting these dots and sharing data across departments.

3. Lack of organizational alignment

In a Salesforce study, 53% of customers say they’ve had to re-explain their complaints to different customer representatives of an organization, and another 55% feel like they’re communicating with different departments instead of one company. 

This happens when there’s no cohesive data management or agreement on deliveries, even within the same department.

4. Customer privacy concerns

Privacy concerns are becoming a significant barrier against data collection and usage. As PwC notes, while 63% of consumers would offer their data in exchange for personalized customer service, another 23% feel less comfortable.

Source

Moreover, 67% of respondents in a Pew Research Center survey do not understand what companies do with their data, whereas 11% of respondents in ClearSale’s survey say they have abandoned an online purchase because they didn’t trust the site with their data. 

In resolving such concerns, it’s difficult to collect data and provide personalized customer service.

5. Outdated or incompatible technology

Legacy systems often lack the flexibility to integrate with modern tools, resulting in fragmented customer data spread across multiple platforms.

Additionally, outdated technology may not support automation, AI, or real-time data analysis, which are crucial for effective personalization.

6. Staff training

There's a significant disconnect between employee needs and employer-provided training. While 88% of staff report inadequate training for the apps they use, 35% of companies admit lacking the right learning materials.

Soure

This leaves the support team and other crucial departments scrambling with inadequate skills and knowledge to provide personalized customer service. Plus, the absence of a knowledge base could make this more difficult. 

7. Scalability issues

Personalized delivery means attending to each customer’s needs individually, not in groups. For a small-sized company, this might not pose an issue. But as you scale up to handle more entries, providing the same experience becomes much more complex. 

Manual processes also become bogus, inefficient and unsustainable, leading to slower response times and inconsistent customer service. Plus, you must handle a larger data volume as you scale.

8 tried-and-tested methods to deliver personalized customer service

Now that you have a heads up about possible challenges, here’s how to overcome them and deliver personalized customer service.

1. Leverage AI and automation for personalization at scale

As previously mentioned, scalability becomes a big headache when you deal with more data and humanly handle manual processes. To solve this, you must integrate AI-powered tools and automation into your workflow.

For instance, CRM systems can help aggregate customer data across departments and seamlessly analyze it for advanced personalization insights.

To take your customer service a notch higher, use all-in-one communication automation tools like Plivo CX, which comes with an AI self-service chatbot to deliver exceptional customer support around the clock. 

These AI-powered agents instantly address customer inquiries, leveraging your knowledge base and brand guidelines to provide accurate and consistent responses. They can handle various tasks, from answering questions to processing exchanges and tracking orders, freeing up your human agents to focus on more complex issues. 

With seamless escalation capabilities, AI agents can smoothly transition conversations to human agents when needed, providing full context and summaries for efficient resolution. 

Additionally, the chatbot is easily adaptable to new products, promotions, and policies, ensuring your customer support remains up-to-date and efficient.

Try Plivo CX’s visual workflow builder to create complex customer journey workflows without writing any code. You can easily connect components like actions, conditions, and triggers to automate various tasks and processes.

This makes it simple to design efficient workflows for routing inquiries, escalating issues, and sending automated responses, all while ensuring the right agents are handling the right tasks.

2. Extend omnichannel support 

A customer’s preference for communication channels makes up a significant portion of personalization. For instance, approximately 35% of customers prefer email as their primary customer service channel, especially among millennials. 

On the other hand, Gen Z consumers increasingly favor messaging and chat channels for real-time assistance, illustrating a shift toward digital, instant-response options across demographics. 

It’s, therefore, critical to offer omnichannel support. As noted before, Plivo CX’s true omnichannel platform helps you achieve this by enabling seamless switching between voice, AI-powered chatbots, SMS, email, and WhatsApp. 

Moreover, you can do all these things in the same tab without needing to switch. 

3. Humanize conversations using customers’ language

Over 74% of customers say they’re more likely to patronize a business if post-purchase customer support is offered in their language. Remember that the idea here is to localize, not just translate. 

Communicating with your customers in the language and style they prefer can help them feel understood. In this scenario, a multilingual solution like Plivo CX can help.

4. Use your customers’ names

It’s better to address each customer by name throughout the conversation, not just at the beginning. It will make them feel known and valued. 

Besides, personalizing with names reduces relationship barriers and makes communication easier. But don’t overdo it, either.

5. Harness customer data to further personalize interactions

How far you can personalize customer service depends on how well you know your customers. Dig out their previous interactions with your brand, past purchases, browsing behavior through consented cookies, and past complaints. 

You can also use surveys to collect details on how customers “would want you to serve them better” or what “things you need to fix in your customer service delivery.” 

Also, ensure your customers know what you’re doing with their data to minimize distrust. In this regard, Plivo CX meets the highest data security standards, with certifications like SOC 2, HIPAA, and GDPR.

6. Offer tailored and unique solutions to customer queries

Based on the data you collect, derive insights that will help you offer unique solutions to customers' problems. 

As we’ve noted, problems can be identical for two customers, but that doesn’t mean you can solve them the same way. 

So, identify their preferred communication channels—email, phone, in-person meetings, or social media—and ensure all interactions occur. 

Additionally, consider factors like their budget constraints, operational limitations, and the urgency of their problem. Pay attention to any previous interactions or complaints they've raised to predict what matters most to them.

7. Train agents on personalization methods

Provide training programs, self-paced or cohorts, with live practicals to help your in-house support team acquire essential soft personalization skills—empathizing, listening, and paying attention to details—and hard skills. 

Sometimes, your agents can get stuck on the call despite having received proper training. This is where Plivo CX’s live coaching voice feature comes in. While communicating with a customer, a more experienced and knowledgeable agent can “whisper” instructions to another agent to finetune personalized service delivery. 

And yes, all of this is done without the customer knowing.

8. Be proactive about customer service and request customer feedback

Don’t wait until your metrics drop. Use the data you have to figure out what your customers need and send the prompt even before they ask. Plivo CX’s proactive service feature helps you do just that.

Finally, hear from your customers before they take the news out. Ask about their experience interacting with you immediately after every communication. 

You can also send survey forms backed by an incentive to encourage participation. Then, use these insights to improve your delivery.

Deliver personalized customer service at scale with Plivo CX

Automation is at the heart of every scalable personalization. But finding the right tool to use can be daunting.

And that’s where Plivo CX comes in. Our award-winning omnichannel communication platform integrates, centralizes, and unifies all your communications on one dashboard. This way, you can elevate customer satisfaction, improve agent efficiency, and drive business growth. 

Here’s what we offer: 

  • Unified communication: Manage all customer conversations across channels like email, voice, SMS, WhatsApp, and live chat from a single, agent-friendly platform.
  • AI-powered automation: Deploy smart chatbots to handle routine inquiries, freeing up agents to focus on complex issues and personalized support.
  • Effortless workflow design: Visually build custom workflows and automations with a drag-and-drop interface, no coding required.
  • Seamless integrations: Connect Plivo CX with your existing tools, including CRM, ERP, helpdesk, and more.
  • Data-driven optimization: Track real-time analytics and generate custom reports to gain insights into customer interactions and agent performance.
  • AI-enhanced efficiency: Prioritize urgent tickets, ensure brand consistency, and adapt quickly to changes with AI-powered support.
  • Rich communication: Enhance interactions with multimedia support, including images, videos, and documents.
  • Increased productivity: Streamline workflows with message templates, internal notes, and skills-based routing.
  • Comprehensive features: Leverage call recording, IVR, multi-language support, and robust security features for a complete solution.

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