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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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Jun 17, 2025
5 mins

48 Contact Center Statistics & Benchmarks You Need to Know in 2025

Explore 2025’s latest contact center stats, from AHT and FCR to AI adoption and omnichannel engagement. See how your support team stacks up.

Contact Center

Running a contact center in 2025 means balancing speed, personalization, and efficiency across every channel your customers use. But are you hitting the mark?

The latest contact center statistics can tell you. 

This guide breaks down the most important and updated contact center statistics, from customer experience and agent performance to automation, QA, and future trends. 

The idea is that each data point offers a clear benchmark you can act on right away, whether you’re trying to reduce churn, boost agent efficiency, or plan tech investments.

Let’s get into it.

Top Contact Center Statistics

To make these insights easier to apply, we’ve grouped the top contact center statistics into key categories. Each section highlights trends you can use to benchmark and improve your operations.

Contact center industry overview

With increasing pressure to deliver faster and smarter support, many organizations are rethinking their contact center strategy from the ground up. 

Here’s  what you should know:

Top communication modes and professional services 
North America leads the global contact center market -Source
  1. The global call center AI market is projected to increase from $1.6 billion in 2022 to $4.1 billion by 2027, growing at a compound annual growth rate (CAGR) of 21.3% over this period (MarketsandMarkets)
  2. North America is projected to lead the call center AI market, driven by the region’s early adoption of AI technologies in contact centers (MarketsandMarkets)
  3. The healthcare and life sciences sector is expected to see the fastest growth in the call center AI market, fueled by the urgent need for streamlined patient communication and support services (MarketsandMarkets)
  4. There are currently around 17 million contact center agents globally (Gartner)
  5. Contact centers are increasingly focused on reducing the volume of assisted contacts and overall service demand by improving digital capabilities. In 2023, organizations reported achieving only 55% of their strategic goals. To close that gap, 30% are upgrading their contact center solutions in 2024, with another 42% planning updates in 2025 (Deloitte Digital)

Operational KPIs & efficiency metrics

From average handle time to occupancy and transfer rates, these benchmarks expose inefficiencies and guide staffing, training, and tech investments. 

Here’s a closer look at the latest performance metrics : 

Most important contact center metrics 
Customer satisfaction, service level, and FCR top the list of key contact center metrics in 2023 -Source
  1. Traditionally, contact centers aim to answer 80% of calls within 20 seconds. But many are now pushing for higher standards, targeting 90% of calls answered within just 15 seconds (Call Centre Helper)
  2. 45.7% of contact centers aren’t tracking customer emotion and missing valuable insights into customer sentiment and potential agent performance issues (Call Centre Helper)
  3. A good first call resolution (FCR) rate falls between 70% and 79%. Anything below 70% signals a need for improvement. Only 5% of call centers reach a world-class FCR rate of 80% or higher, which is an elite benchmark in customer experience (SQM Group)
  4. A good CSAT score in the call center industry ranges from 75% to 84%. Scores below 75% indicate room for improvement. Only 5% of call centers achieve a world-class CSAT score of 85% or higher. CSAT can vary by call type, industry, and customer touchpoint (SQM Group)
  5. The industry standard for Average Handle Time (AHT) in customer service call centers is around 10 minutes, though some report it closer to 7 minutes. AHT varies widely depending on call type, line of business, and industry (SQM Group)
  6. The standard call center occupancy rate ranges from 75% to 85%. Rates above 85% are often seen as unsustainable, leading to agent burnout and a high-stress work environment. Most leaders agree it’s not healthy to keep agents operating at that level for long (SQM Group)
  7. The industry standard for call abandonment rate is around 6%. Rates below 5% are considered good, while anything above that is usually too high. Top-performing call centers with strong CSAT scores often keep abandon rates at 3% or lower. Abandon rates can also vary by industry, call reason, time of day, and day of the week (SQM Group)
  8. The industry standard for call transfers in call centers is around 19%. However, a strong benchmark is 15% or less. Keeping transfer rates low helps improve first-call resolution and customer satisfaction (SQM Group)

Customer experience (CX) statistics

Customer expectations are higher than ever. People want speed, personalization, and empathy, often all at once. These numbers show how much these expectations are influencing loyalty, spending behavior, and overall satisfaction:

Customer preferences for personalization
Consumers value personalization that provides tangible benefits -Source
  1. CX quality among brands in the US sits at an all-time low after declining for an unprecedented third year in a row (Forrester 2024 US Customer Experience Index)
  2. Companies that prioritize CX see 41% faster revenue growth, 49% faster profit growth, and 51% better retention (Forrester 2024 US Customer Experience Index)
  3. 1 in 3 customers will leave a brand they love after just one bad experience, while 92% would completely abandon a company after two or three negative interactions (PwC)
  4. In the U.S., even when people love a company or product, 59% will walk away after several bad experiences, 17% after just one bad experience (PwC)
  5. 63% said they'd be more open to sharing their data for a product or service they say they truly valued (PwC
  6. 65% of shoppers find a positive customer experience to be more influential than advertising (PwC)
  7. Half of Americans believe loyalty programs matter more than ever. Support is strongest among six-figure earners (57%) and Millennials (56%), while only 43% of Gen Zers feel the same (LendingTree)
  8. If it's a brand they really like, more than two out of three people in the U.S., Australia, and the UK would pay up to 25% extra. (UserTesting
  9. 55% of consumers expect better customer service year-on-year (Microsoft Dynamics Global State of Customer Service)

Agent performance & workforce stats

A high-performing contact center starts with engaged, well-supported agents. But between burnout, high turnover, and remote work challenges, agent stability is under threat. 

These workforce data highlights just how critical it is to invest in training, tools, and career growth: 

How call centers helped agents during the cost-of-living crisis
Call centers are stepping up during the cost-of-living crisis -Source
  1. Three out of four respondents in a 2024 Deloitte survey said agents are overwhelmed by too many systems and too much information, causing longer calls and weaker outcomes (Deloitte Digital)
  2. Agent attrition averaged 52% annually in 2023, though the rate varied depending on the industry and region (Deloitte Digital)
  3. Companies that actively invest in agent career progression achieved 23% more of their strategic goals compared to those that only plan to invest later (Deloitte Digital)
  4. 69% of respondents in a survey said they’ve changed or considered changing careers in the past year. The top reasons driving this shift include remote work options (67%), better work-life balance (52%), more fulfilling roles (48%), and the chance to grow new skills (40%) (FlexJobs)
  5. 45.5% of agents said their employer provided a cost-of-living pay raise. Another 38.3% received enhanced benefits, and 43.5% were offered paid overtime options  (Call Centre Helper)
  6. Only 48.3% of agents said they don’t plan to leave their call center job within a year. The rest were either open to leaving (26.6%) or unsure (25.1%), signaling weak retention  (Call Centre Helper)
  7. Attrition is a widespread issue in contact centers; only 23.4% said it’s not a problem. Of the rest, 30.2% are taking active steps to address it, 25.9% saw little impact from their efforts, and 20.5% lack the budget or resources to act (Call Centre Helper)

AI and automation in contact centers

AI-powered contact centers are now handling repetitive tasks, routing interactions more intelligently, and giving agents real-time support. These adoption trends show which use cases are gaining traction and which ones still need refinement:

Impact of Generative AI 
Early adopters of generative AI report significantly better outcomes- Source
  1. Conversational AI will cut customer service costs by $80 billion by 2026 (Gartner)
  2. By 2026, 1 in 10 agent interactions will be automated, up from just 1.6% in 2022, driven by the growing use of AI in contact centers (Gartner)
  3. The cost of integrating conversational AI at $1,000 to $1,500 per agent, with some organizations reporting costs as high as $2,000. As a result, early adoption is expected mainly among enterprises with 2,500+ agents and the technical resources to support the investment (Gartner)
  4. 56% of global business leaders believe generative AI will boost efficiency and productivity, making it the most expected benefit. Far fewer see it helping shift workers to higher-value tasks, uncover insights, or strengthen customer relationships (Deloitte Digital)
  5. Early adopters of generative AI were 34% less likely to report that their agents feel overwhelmed by the information they need to manage (Deloitte Digital)
  6. Over half of early adopters say they use generative AI tools to draft customer responses, support agents in real time, and summarize interactions for insights. Other leading use cases include enhancing virtual agent conversations, analyzing customer intent, and improving service quality with automated scoring and performance management  (Deloitte Digital)
  7. Chatbot adoption in contact centers increased slightly from 36% in 2022 to 37.5% in 2023 (Call Centre Helper)
  8. About a third (31.6%) of contact center professionals said they want to implement AI to improve customer satisfaction. However, most are driven by efficiency gains—33.2% aim to reduce contact volume, 20.4% want to cut costs, and 9.2% focus on revenue growth. Among the 5.6% who selected “other,” reasons included auto-quality monitoring, process improvement, automation, and saving time (Call Centre Helper)

Omnichannel & digital engagement stats

Customers want to interact with businesses on their terms—SMS, chat, voice, social, and more. But fragmented systems make that hard. As businesses work to unify channels, recent trends point to shifts in customer preferences and the contact center technologies rising to meet them:

Mix of contact channels
Inbound voice still dominates contact center communication -Source
  1. Companies with the strongest omnichannel customer engagement strategies enjoy a 10% Y-O-Y growth, a 10% increase in average order value and a 25% increase in close rates. (Adobe)
  2. Successful right-channeling depends on next-gen tools that minimize friction across channels like digital omnichannel integration platforms. Among companies using these platforms, 71% reported significant business value, including an average 9% drop in cost per assisted contact. To maximize impact, organizations need up-to-date, accurate customer data available on demand (Deloitte Digital)
  3. Most contact centers today use routing tools for agent-assisted chat (74%) and phone calls (51%). These single-channel solutions have helped achieve an average agent occupancy rate of 76% (Deloitte Digital)
  4. Channel-specific tools fall short when it comes to quickly connecting customers with the right agent across multiple channels or managing fluctuating contact volumes. To address this, 25% of contact centers have adopted dedicated omnichannel routing tools (Deloitte Digital)
  5. There’s been a clear shift in channel usage. From 2022 to 2023, video dropped from 0.6% to 0.4%, and email from 17.8% to 16.5%. Meanwhile, SMS rose from 1.3% to 1.6%, social media from 2.8% to 3%, and live chat from 7% to 7.2%. This trend suggests customers prefer faster, more convenient ways to get support (Call Centre Helper)
  6. Inbound voice saw an increase from 53.5% in 2022 to 55.4% in 2023. This highlights rising customer needs during economic uncertainty, as people turn to service providers for both financial guidance and reassurance  (Call Centre Helper)

Quality assurance & monitoring

Modern centers are turning to automation, speech analytics, and real-time feedback to scale insight and improve service. The latest practices show how quality monitoring is evolving from manual scorecards to strategic enablers:

  1. The use of interaction and speech analytics in contact centers rose from 28% in 2022 to 37.5% in 2023, indicating a clear sign of growing adoption (Call Centre Helper)
  2. Asking customers to complete a post-contact survey is a standard practice in the industry, but 19.1% of contact centers never do so. While this may seem alarming, many of these centers likely rely on more advanced methods like interaction and speech analytics that reduce the need for a server  (Call Centre Helper)

Contact center future trends

Looking ahead, the contact center is set to become even more central to customer experience strategy. Emerging trends like predictive AI or hyper-personalized service signal a future where the contact center is less reactive and more proactive and revenue-aligned:

  1. Service innovators are setting the standard. They’re 7x more likely than others to offer premium service tiers either for a fee or to high-value customers. These organizations also provide more service upgrades, including 24/7 availability (89% more likely), direct routing to experienced agents (50% more likely), and access to onshore agents (33% more likely) (Deloitte Digital)
  2. The global cloud-based contact center market was valued at USD 14.5 billion in 2021 and is projected to grow to USD 82.43 billion by 2030, at a CAGR of 21.3% from 2022 to 2030. North America is expected to lead the market in terms of share (GlobeNewswire)
  3. The global omnichannel retail solutions market was valued at USD 5.96 billion in 2021 and is projected to grow at a CAGR of 13.6% from 2022 to 2030. This approach integrates physical and digital channels to provide a seamless shopping experience across online and in-store touchpoints (Grand View Research)

How Plivo helps you outperform these benchmarks

Plivo is an AI-first communications platform that helps businesses automate customer engagement across SMS, Voice, WhatsApp, and Chat. With our no-code AI Agent Studio and enterprise-grade infrastructure, you can deploy intelligent automation that works alongside your existing contact center operations.

Here's what Plivo offers:

  • AI Agents for Convert, Engage & Delight: Deploy specialized AI agents for sales conversion, customer engagement throughout their journey, and 24/7 customer support—all customizable to your business needs
  • No-Code AI Agent Studio: Build AI agents using our visual drag-and-drop builder. Choose from multiple LLMs, including OpenAI, Google, Anthropic, and Meta, to power conversations that match your brand's voice
  • Omnichannel AI Support: Deploy the same AI agent across voice calls, SMS, WhatsApp, and webchat for consistent customer experiences across all touchpoints
  • Customer Data Platform: Unify customer data and create intelligent segmentation to trigger personalized AI interactions based on customer behavior and preferences
  • Enterprise-Grade Reliability: 99.99% uptime guarantee with global coverage across 190+ countries, plus full compliance with GDPR, SOC 2, HIPAA, PCI DSS, and ISO 27001
  • Flexible Integrations: Connect with your existing CRM, helpdesk, and business systems, including Salesforce, HubSpot, Shopify, Zendesk, and more

Ready to upgrade your contact center? Book a demo now.

Jun 17, 2025
5 mins

31 Top Customer Satisfaction Metrics Every Business Should Track in 2025

Know the 31 most important customer satisfaction statistics for 2025 to understand their role in driving loyalty and business success across industries. Read more.

Customer Satisfaction
Industry Insights

When it comes to a successful business, nothing matters more than building customer trust. IBM’s report also supports this: 65% of CEOs now view customer trust as more vital to business success than product innovation or quality.

Why does this matter more than ever?

Because customers today aren’t just choosing between you and your closest competitor. They’re comparing you with the best experience they’ve had anywhere. 

Like personalized interactions, good service, and genuine care.

That's why businesses focusing on customer satisfaction consistently see stronger customer loyalty, reduced churn, and ultimately, better financial outcomes.

So, how exactly does customer satisfaction drive real business results to stay ahead in 2025? 

Let’s dive into the top customer satisfaction statistics, strategies, and benchmarks that matter.

Why customer satisfaction is key to standing out in a crowded market

In markets where products and pricing are increasingly similar, customer experience becomes the differentiator. 

And that experience? 

It’s defined by how satisfied your customers feel: Before, during, and after a purchase.

According to Deloitte’s 2024 Consumer Loyalty Report, 86% of consumers consider financial rewards and simplicity essential to loyalty programs, showing that satisfaction often starts with meeting fundamental expectations.

Meanwhile, Forrester reports that customer-obsessed organizations report 41% faster revenue growth and 49% faster profit growth. 

The message is clear: businesses that prioritize satisfaction are better positioned to lead.

Here's how measuring satisfaction helps you lead:

  • Reducing churn and increasing customer lifetime value: Tracking satisfaction scores helps you spot at-risk customers early. Addressing their concerns in time boosts retention and long-term, loyal customers more than new ones.
  • Prioritizing improvements that drive loyalty: Satisfaction data helps you zero in on what truly matters. It could be faster response times, better onboarding, or smoother checkout flows, so you can fix the issues that move the needle.
  • Proving the financial impact of satisfaction: When CX initiatives are backed by satisfaction metrics, it becomes easier to tie those efforts to outcomes like repeat purchases, higher NPS, and increased revenue per customer. This makes a clear case for continued investment.

31 key customer satisfaction statistics for 2025

Understanding your industry's customer satisfaction benchmarks helps set realistic goals and uncover growth opportunities. 

Here's a look at how key sectors are performing:

Industry benchmarks for customer satisfaction

Here's a snapshot of customer satisfaction insights in key sectors for 2025:

1.Retail 

Customer satisfaction in retail remains a major challenge. IBM reports that only 9% of consumers are satisfied with in-store shopping, while just 14% feel the same about e-commerce. These low numbers signal a clear need for better engagement and service design.

One of the biggest opportunities for retailers lies in personalization. Yet, only 60% of consumers feel the tailored experiences they receive truly meet their expectations. 73% of consumers prioritize personalized experiences or rewards as essential components of a loyalty program.

To add, supermarkets and online retailers lead the pack for repeat purchases, with 82% of customers returning, but satisfaction levels still show room for improvement. As consumer expectations evolve, staying ahead requires a focus on improving these experiences.

In line with this shift, 3 out of 5 consumers are open to using AI tools for personalized shopping. Retailers that fail to adapt risk falling behind in a market where customer demands are continuously rising.

2.Telecommunications

Telecom providers are under increasing pressure to deliver reliable and consistent experiences as customer expectations evolve. Despite widespread access to digital tools, many users still encounter service friction that impacts overall satisfaction.

Here’s a snapshot of key telecom customer satisfaction statistics for 2025:

  • The telecommunications industry has a Net Promoter Score average of 31, which is the lowest industry average according to the latest NPS benchmarks report. Even logistics, which is also a difficult industry for customer experience, has a higher NPS average of 38.
Image showing Net Promoter Scores with Telecommunications at the lowest (31)
Customer loyalty varies by industry, with telecom facing notable challenges -Source
  • Only 35% of consumers say they are “satisfied” or “very satisfied” with telecom customer service, one of the lowest across all industries surveyed.
  • 70% of consumers prioritize reliable service over faster speeds, reflecting a shift in what customers truly value in a digital-first world.
  • A customer-centric model can boost annual revenue by up to 8%, reduce service costs by 10–15%, and increase customer satisfaction scores by 20 to 40 points.
  • 75% of industry leaders believe that hyperscalers (large tech companies like Amazon, Microsoft, and Google) will become the dominant disruptive threat in the telecom industry over the next five years.
  • 58% of executives believe most of today’s workforce will need to be upskilled or replaced in the next five years. However, only 10% of telcos are actively focusing on redefining their employee proposition and purpose as part of their people strategy.
  • The two major drivers identified by telecom leaders are:
    • 67% cited growth in the core connectivity business
    • 60% focused on margin development through additional cost reductions and efficiencies

These numbers show a clear path forward: telecom companies that invest in AI, personalization, and consistency across service channels stand to gain significantly in customer trust and loyalty.

3.Banking and financial services

IBM's 2025 outlook emphasizes the importance of customer trust and satisfaction in the banking sector, suggesting that institutions investing in customer experience are better positioned for long-term success

A Forrester's research indicates that smaller banks called challengers and cooperative banks called mutuals are doing better than traditional banks. In fact, customers in eight of the top 10 banks in Europe feel more positive about their experience compared to those using traditional banks.

Also, an Accenture report states that banks in the top 20% for customer advocacy see 1.7x faster revenue growth overall, with growth in North America reaching 2.6x.

By aligning strategies with industry standards and focusing on customer-centric initiatives, organizations can enhance loyalty, reduce churn, and achieve sustainable growth.

CSAT scores by different industry sectors 

IBM’s latest data shows how CSAT scores vary by industry. Here’s a quick look at the numbers:

Sector CSAT score (Year)
Consumer Shipping 77 (2024)
Banks 80 (2024)
Food Manufacturing 82 (2023)
Automobiles 80 (2024)
Full-service restaurants 84 (2024)

Trending satisfaction metrics in 2025

Companies are focusing on new trends that give a deeper look into how customers feel and what keeps them coming back. Here’s what you need to know:

  • Gap in real-time action: Despite this focus, only 13% of CX leaders feel they have the tools to act on real-time customer insights, even though they prioritize instant customer actions

  • Satisfaction tracked over time: Longitudinal metrics show a downturn in CX. Forrester’s 2024 index found U.S. customer satisfaction fell by 1% point, marking a third consecutive annual decline, with 9 out of 13 industries seeing significant drops and 25% of brands suffering major CSAT decreases (fewer than 1 in 10 brands improved).

  • CX metrics go public: Forrester predicted that in 2024, half of large brands will experiment with customer-facing generative AI and start reporting their CX metrics to investors as formal performance indicators. This underscores how customer satisfaction scores are becoming key business metrics on par with financials.

Measuring customer satisfaction across segments

Measuring overall satisfaction is useful, but looking at different customer groups gives a clearer picture. Here’s why it matters to track satisfaction across segments:

Linking satisfaction scores to customer retention rates

Satisfied customers are more likely to remain loyal and continue doing business with a company. According to Forrester's 2024 US Customer Experience Index, customer-obsessed organizations reported 51% better customer retention compared to non-customer-obsessed organizations. 

Segmenting satisfaction data to uncover insights

It’s important to measure satisfaction in different types of customers, like by their behavior or demographics, to learn valuable insights. 

Forrester's 2024 US Customer Experience Index also highlights that only 3% of companies are currently customer-obsessed, emphasizing the need for targeted strategies across various customer segments. 

Why collecting and analyzing customer feedback is critical

Collecting and analyzing customer feedback is essential for building loyalty, improving experiences, and identifying opportunities to innovate. 

Deloitte’s report shows that 51% of Americans are willing to share personal data for better experiences, provided companies are transparent and give them the option to opt out. 

This clearly emphasizes how trust is a key factor in gathering meaningful feedback and leveraging it to improve customer satisfaction.

According to a study by IBM, consumers want tech-driven enhancements:

  • 55% are eager for AI-powered virtual assistants
  • 59% are open to AI applications while shopping
  • 62% say price is the top reason they switch brands

These insights stem from widespread inflation concerns, which have reshaped consumer behavior. This shows why real-time feedback is important to understand shifting expectations.

Elevate your customer experience with Plivo CX

As businesses grow, managing customer interactions across multiple channels becomes increasingly complex. Now, with the advent of AI, customer expectations are at an all-time high, with demand for personalized, real-time support only growing. 

However, scaling these experiences without increasing costs is a challenge that many companies still face.

That’s precisely the problem Plivo CX addresses.

Plivo CX is a powerful omnichannel customer experience platform designed to help businesses engage their customers across multiple messaging channels. 

It leverages AI to deliver personalized, timely interactions at scale, boosting customer satisfaction and loyalty without increasing costs.

Here’s how Plivo CX can boost your customer experience:

  • Timely engagement: Automate messaging and scheduling to ensure your communications reach customers at just the right moment by addressing their needs in real time.
  • Sales conversion agent: Enhance customer interactions with AI that personalizes offers and content, thus increasing conversions and sales.
  • Flexible customer segmentation: Segment your customers with our Audiences feature based on their behavior, preferences, and past interactions. In this way, you can deliver tailored, relevant experiences that meet individual needs.
image showing Plivo CX’s flexible customer segmentation based on customer behavior.
Segment customers with flexible conditions by Plivo CX
  • Customer retention agent: Utilize our AI-driven messaging to proactively reach out to customers with relevant and timely communications.
  • Pre-sales inquiry agent: Handle customer inquiries swiftly and efficiently with our AI agents. This ensures quick responses and effective lead qualification, so no opportunity is missed.
  • Copywriter AI: Provide fast, personalized SMS through human-like, real-time interactions and pre-built templates at scale with Copywriter AI. Now, you can ensure each message resonates with your audience.
Image showing Copywriter AI generating personalized SMS messages.
Create fast, human-like SMS campaigns with Copywriter AI

With Plivo’s extensive carrier network covering over 220 countries, businesses can reduce their SMS costs by as much as 70% while boosting ROI by three times.

Companies leveraging Plivo CX report outstanding returns, generating an impressive $71 for every $1 spent on SMS marketing campaigns. 

Book a free demo today and see how you can deliver exceptional service while scaling your business.

Jun 17, 2025
5 mins

How to Use AI for SMS Marketing

Learn about AI SMS marketing and how it personalizes messages, boosts engagement, and automates campaigns.

SMS Marketing
Industry Insights

With 90% of texts read within three minutes, SMS offers unmatched visibility. However, for many marketers, the real challenge is turning that attention into clicks and conversions. It’s like shoppers streaming into a mall, browsing every window, but leaving without making a single purchase.

AI-powered SMS marketing makes a difference here.

Instead of just getting your messages “seen,” AI SMS marketing helps you get them “clicked”, by delivering the right message to the right person at the right time.

In this guide, we’ll show you exactly how to use AI for SMS marketing. We’ll also help you identify common bottlenecks, explore how AI can solve them, and share actionable steps to help you hit your SMS campaign goals!

How AI SMS marketing benefits businesses

From automating message flows to predicting the best send times, AI in SMS marketing helps businesses save hours weekly on manual work.

But that’s not it. By integrating AI, you can:

Personalize at scale

Consumers have become experts at tuning out generic company messages, so the last thing you want is for your SMS campaigns to blend into the background noise.

SMS AI changes this. It dynamically tailors content based on customer demographics (like age, gender, and location) and real-time behaviors (such as purchase history or browsing patterns).

This means you can convert mass messaging into highly relevant, individualized communications that help you drive a higher return on investment (ROI).

Demographic-based variant example

For young adults (18–25): “Hey [Name], score 20% off the latest sneakers — just for students like you! Shop the trend now.”

Behavior-based variant example

Abandoned cart: “Hi [Name], you left something behind! Complete your purchase now and get free shipping.”

The power of AI for personalization in SMS marketing extends far beyond simple reminders or cart abandonment alerts. It even recommends products your users may like, adjusts pricing, and curates personalized campaigns. (More on this later in the article!)

Automate with intelligence

With intelligent SMS marketing automation, you can set up triggered workflows that respond instantly to customer actions.

An image showing how Plivo CX lets you build workflows and trigger events based on user input 
Automate workflows with Plivo -Source

For example, you can gently nudge when someone leaves items in their cart, send a thank-you note after their first purchase, or request quick feedback. Plus, with chat-style auto-replies and AI-powered bots, you can handle simple customer conversations, like answering FAQs or confirming appointments, right in the SMS thread, 24/7.

💡 Pro tip: Using Plivo CX lets you trigger personalized messages based on customer actions. Try out its pre-built templates and generate engaging content with its Copywriter AI!

Optimize with AI-powered A/B testing

With AI, you can test multiple message variations at once, track how different groups respond, and get early signals on what’s driving clicks or replies. AI spots patterns in open times, link engagement, and even response rates. Then, it helps you adjust content or timing before the campaign ends.

AI also determines the ideal send times for each audience segment so your SMS messages reach recipients when they’re most likely to engage. Plus, it continuously refines your campaigns in real time for maximum impact.

Example: Say you're promoting a flash sale. You test three versions of an SMS:

  • Version A highlights a 20 % discount
  • Version B uses urgency: “Only 3 hours left!”
  • Version C mentions free shipping

After sending these variants to different audience segments, the AI sees that:

  • Version A works best with price-sensitive users
  • Version B gets more clicks from frequent buyers in the afternoon
  • Version C performs better with new subscribers

Based on this, the system shifts more messages toward the best-matching version for each group before the sale ends. It also reschedules the next batch of texts to go out during each segment’s peak engagement window.

Let’s understand the benefits of AI in SMS marketing through its applications.

Practical AI SMS marketing applications

AI SMS marketing empowers you to hit your campaign targets, whether that means boosting click-through rates, driving more conversions, or increasing customer engagement.

But the real value lies in how AI achieves these results behind the scenes.

Smart segmentation

When 34% of consumers become annoyed by SMS messages irrelevant to their needs and interests, opt-out rates automatically increase. The reasons are ample: bad timing, irrelevant messaging, lack of personalization, unclear expectations, etc.

AI lets you automatically classify your audience into meaningful segments based on their engagement levels, purchase history, and behaviors.

For example, as shown in the image below, you might have segments like “High Value Customers” or “Holiday Shoppers.” This allows you to curate highly targeted campaigns for each group and deliver personalized offers, timely reminders, or exclusive deals.

An image showing the Plivo CX dashboard to create customer segments 
Get 360° visibility about your customer, from storefront activity and engagement to purchases

Dynamic content insertion

AI-powered dynamic content lets you personalize each SMS with details like product recommendations, names, or exclusive offers.

For instance, if a customer abandons a cart with a specific item, the platform sends a message like, “Hi [name], your Nike Air Max is still waiting for you. Complete your purchase now and enjoy 10% off!”

This level of personalization boosts engagement and drives higher sales.

Automated replies and conversational flows

AI replies are smarter and more conversational than ever.

Modern AI SMS chatbots can handle FAQs, order status requests, and opt-out commands with natural, context-aware responses that feel genuinely human.

For instance, if a customer texts “Where’s my order?” or “I want to return product X,” they receive an instant, personalized update tailored to their situation. Even better? When a query is more complex or sensitive, the platform escalates the conversation to a human agent without delay.

An image showing Plivo chatbot processing a return request
Resolve customer queries within seconds with Plivo chatbots

Abandoned cart recovery

AI-powered abandoned cart recovery automatically adjusts tone, offer, and timing of messages based on each customer’s cart value and behaviors.

Behavior-triggered SMS

Apart from cart abandonment recovery and product recommendations, the use cases of AI in e-commerce include identifying fake reviews, fraud detection, and voice search optimization.

So if a customer suddenly places multiple high-value orders from different locations or uses inconsistent payment information, AI instantly flags the transaction as potentially fraudulent and triggers an SMS alert to both the customer and the internal risk team.

Upsell and cross-sell campaigns

SMS AI surfaces the right opportunities to recommend additional products that align with each customer’s preferences and actions.

For instance, after a customer buys a smartphone, Plivo’s Upsell and Cross-Sell Agent can follow up with a timely SMS recommending a phone case or screen protector. It can also optimize the timing of these offers, ensuring that suggestions are made when the customer is most receptive, such as right after the initial purchase or when they revisit the website.

Now that you know the benefits of AI SMS marketing, how do you find a platform that truly fits your business needs?

What to look for in an AI-driven SMS platform

When choosing an AI-driven SMS platform, focus on features that make your campaigns smarter. These include:

  • Machine learning for segmentation: Prioritize a platform that automatically sorts your audiences based on real behaviors and attributes. This way, you can send the right message to the right person, trigger events, and manage opt-outs.
  • NLP to generate messages: Look for built-in AI tools with natural language processing (NLP) that help you craft engaging, on-brand messages in seconds.
  • AI-based A/B testing and optimization: Choose a platform that can automatically test different versions of your SMS, analyze the results, and optimize future sends for higher conversions.
  • Auto-reply and AI bot integrations: Ensure it offers AI-powered SMS chatbots to manage FAQs, order tracking, and basic support, so your customers always get quick answers, even outside business hours.

Getting started: Steps to incorporate AI into your SMS strategy

Not sure where to begin with AI and SMS? You don’t need to overhaul everything at once.

Start by asking yourself: What are the current bottlenecks in your SMS campaigns? Are you aiming to boost conversions, increase CTR, or improve personalization?

Then, follow these steps.

Step #1: Audit your current SMS campaigns

  • Review your existing SMS templates and campaign workflows.
  • Identify repetitive manual tasks (like scheduling, segmentation, or copywriting) and areas where performance lags, such as low engagement or inconsistent personalization.
  • Analyze which types of messages and calls to action (CTAs) perform best to spot opportunities for AI-driven improvements.

Suppose you're promoting a new line of skincare products and want to boost conversions through SMS.

In this step, you review your recent campaigns and notice that most messages use the same generic copy (“Try our new skincare range!”) sent to your full contact list at the same time. Engagement is low, especially from existing customers. You also manually create reminder messages for cart abandoners, which takes up hours each week.

Step #2: Choose an AI-enabled SMS platform

  • Prioritize SMS solutions that offer advanced segmentation, predictive analytics, and automation tools to help you scale as your business grows. Easy integration with your current marketing stack is an added bonus.
  • Plivo CX is a strong option as it combines AI-driven segmentation, automated campaign workflows, and an OpenAI-powered copywriting tool to help you craft engaging, personalized messages at scale.

Step #3: Set up behavioral triggers and segmentation logic

  • Use AI to segment your audience based on behavior, purchase history, and engagement patterns.
  • Establish automated triggers for common scenarios (e.g., abandoned cart, post-purchase follow-ups, re-engagement) to ensure timely, relevant messaging.

Step #4: Test AI-generated copy vs. human-written messages

  • Run A/B tests comparing AI-generated SMS messages to those written by your team.
  • Ensure key metrics such as open rates, click-through rates, and conversions to determine which performs better.
  • Continuously analyze results and let AI optimize future campaigns based on what resonates most with your audience.

You’re crafting a follow-up SMS for customers who browsed the new cleanser but didn’t buy. Your team writes: “Still interested in our cleanser? It’s waiting for you.”

The AI suggests: “You checked out the GentleGlow Cleanser. Still thinking it over? Order now and enjoy free shipping.”

You send both to different groups. The AI-generated message sees more responses and higher click-throughs, likely because it feels more specific and timely. You apply what you learned to future abandoned cart reminders.

Step #5: Refine with retention signals

  • Monitor campaign results to see which segments engaged, converted, or dropped off.
  • Use AI to identify patterns across time, content style, and customer behavior.
  • Create follow-up segments like “one-time buyers” or “frequent clickers, no purchase” to guide re-engagement.
  • Adjust future campaign timing, message structure, and tone based on actual user feedback and engagement history.

After the skincare launch, you find that customers who bought the cleanser didn’t return for toner or moisturizer. You build a segment called “single-product buyers” and schedule a re-engagement SMS that recommends a complete routine.

AI also flags that messages with product bundles received fewer clicks than simple one-item offers. You revise your next campaign to feature only the top item with a clear CTA.

Let Plivo’s AI-powered platform handle SMS marketing

With so many AI-powered SMS marketing solutions on the market, it can be challenging to find one that truly fits your business. Many platforms either disrupt your existing communication systems or fall short when it comes to sounding genuinely human, leaving customers frustrated and your team with extra work.

Plivo is built to overcome these challenges.

It uses advanced NLP to understand and respond to customer messages just like a real person, so every conversation feels natural and engaging. And when a conversation gets too complex for AI, Plivo automatically routes it to a human agent.

Moreover, Plivo connects easily with popular platforms like Shopify, Salesforce, and HubSpot. So you can sync customer data, automate campaigns, and manage conversations without heavy IT involvement. 

Customization is simple, too. You can quickly build custom AI agents tailored to your business goals, whether you want to engage, delight, or convert customers at different stages of their journey. Plus, it lets you set up automated workflows for each agent, so they can instantly trigger personalized messages based on real-time customer actions.

Ready to automate customer conversations? Get started for free with Plivo today!

Jun 17, 2025
5 mins

25+ Omnichannel Customer Service Statistics You Should Know in 2025

Discover essential omnichannel customer service stats that reveal how connected support improves satisfaction, loyalty, and revenue in 2025.

Customer Service

A customer reaches out through your website’s live chat with a simple question. Hours later, they follow up via email. The next day, still waiting for a clear answer, they call your support line.

By this point, they’ve used three channels and repeated their issue to three separate agents.

They’re not alone: 56% of customers say they have to repeat themselves during support interactions. With no shared context or continuity, frustration builds.

Omnichannel customer service is designed to fix this.

In this blog post, we break down the key stats behind the shift to connected support and why businesses can’t afford to ignore it. Let’s begin!

Why omnichannel customer service matters in 2025

Omnichannel customer service helps businesses respond faster, reduce pressure on agents, and keep track of customer issues without starting over each time. It also helps teams spot problems early, identify trends, and improve service quality.

When support systems aren’t connected, these opportunities are harder to spot, and customers notice the difference.

That’s why consistency matters. Research shows that 24% of customers would stop buying from a brand after just one bad experience.

 Image showing the reason why customers leave brands
Why customers stop buying from brands -Source

25 trends in omnichannel customer service

These omnichannel customer service statistics and trends reveal what’s shaping the future of connected, seamless experiences in 2025 and beyond.

Customer expectations and satisfaction

When people contact support, they want one thing: to get help without any extra hassle. That means quick answers, fewer handoffs, and not having to jump through hoops.

Omnichannel customer service delivers exactly that with a clear impact on customer satisfaction:

  1. 45% of firms saw better customer engagement, 35% retained more customers, and 35% reported improved customer loyalty due to omnichannel engagement. Furthermore, 46% of respondents noted a rise in customer lifetime value (CLV). (Forrester)
Infographic depicting what benefits omnichannel customer service brings
Benefits of omnichannel customer service
  1. 70% of customers globally prefer brands that provide service across multiple channels. (Freshworks)
  2. Digitizing customer service, notably through proactive omnichannel interactions, can enhance customer satisfaction by 33% while cutting costs by 25-35%. (Odondo)
  3. Most consumers now switch between at least three channels during a single purchase journey. Even though 75% expect a smooth experience across all of them, only 25% feel that retailers meet that expectation. This gap matters because customers who interact across multiple channels are at least 1.25 times more valuable than those who stick to just one. (McKinsey)
  4. Customers who switch between two or more channels to solve the same issue report much higher satisfaction when the experience is seamless. Customer satisfaction (CSAT) reaches 67% with smooth omnichannel support, compared to just 28% for disconnected multichannel support, the lowest among all support experiences. (SQM Group)
  5. 73% of customers believe companies should inherently understand their expectations, and 62% expect businesses to proactively anticipate their needs. (Salesforce)
  6. Four in five companies have implemented a channel steering strategy. Among these, 36% have successfully deflected calls to other channels. This overall approach leads to smoother customer experiences and more efficient issue resolution. (Deloitte Digital)

Efficiency across omnichannel operations

Support teams often lose time moving between disconnected tools like email, chat, and phone systems. This creates delays, forces customers to repeat themselves, and drives up service costs.

Omnichannel service brings everything into one view. Agents can handle requests faster, track previous conversations, and avoid doing the same work twice.

Here’s what that looks like with real numbers:

  1. Companies utilizing an integrated omnichannel solution experience a 31% reduction in first-resolution times and a 39% decrease in customer wait times compared to those operating in silos. (Zendesk)
  2. Companies that adopt omnichannel strategies reduce service delivery costs by 3-7%. (McKinsey)
  3. A study found that 36% of respondents experienced improved operational efficiency through omnichannel engagement. Additionally, 25% reported both increased revenue and reduced costs. (Forrester)
  4. Customers who receive high-quality omnichannel experiences are 3.6x more likely to make additional purchases, driving more cross-sell and upsell opportunities. At the same time, better experiences lower the cost to serve, allowing companies to focus on high-value customers who deliver over 1.6x higher lifetime value. (Deloitte Digital)
  5. One in three companies use omnichannel integration tools, resulting in a 9% reduction in cost per assisted contact. (Deloitte Digital)
  6. Most contact centers today use routing tools for agent-assisted chat (74%) and phone calls (51%), helping achieve a solid 76% agent occupancy rate. However, these single-channel tools fall short when it comes to efficiently routing customers across multiple channels or managing fluctuating contact volumes. To address this, 25% of contact centers have adopted dedicated omnichannel routing tools designed to optimize both speed and resource allocation. (Deloitte Digital)

Revenue and retention outcomes

When customers move across chat, email, and phone without starting over each time, they feel heard and valued. That sense of recognition strengthens trust, which naturally leads to deeper engagement and higher spending.

Here’s how that ripple effect plays out:

  1. Companies implementing omnichannel transformations see a 5-15% increase in total revenue. (McKinsey)
  2. In 2023, the global omnichannel customer service market was valued at approximately USD 14.2 billion. Projections indicate that the market will expand to USD 35.6 billion by 2032, achieving a compound annual growth rate (CAGR) of 10.8% throughout the forecast period. (Dataintelo)
  3. Nike has invested in omnichannel improvements, pushing e-commerce sales to over 30% of its business, with a goal of reaching 50%. (McKinsey)
  4. Companies with strong omnichannel engagement see a 9.5% increase in annual revenue. (Brand Equity)

Omnichannel results across key industries

Omnichannel customer service doesn’t look the same for every industry.

Nevertheless, it’s helping businesses across sectors like retail, banking, and insurance deliver faster support, meet growing expectations, and boost loyalty.

Here’s what it looks like:

  1. A fashion company saw a 10x increase in mobile app downloads and a 5x boost in mobile revenue within a year of implementing an omnichannel strategy. (Bain & Company)
Image showing positive results experienced by a fashion company after implementing an omnichannel strategy
Omnichannel customer service results
  1. One retail company adopted an omnichannel strategy and achieved a significant 54% increase in its net promoter score (NPS), which reflects how loyal its customer base is. (Medallia)
  2. A report from the financial services industry shows that implementing a centralized customer experience data hub (a key component of omnichannel customer service) can reduce call handling times from five minutes to just two to three minutes. (Capgemini)
  3. In the insurance industry, 70% of customers expect a multichannel experience, but less than 40% of insurers said that their digital channels were robust enough to help customers switch channels seamlessly during their purchase journey. (Capgemini)

Read more: Omnichannel vs. Multichannel Customer Service: Key Differences Explained

Barriers and emerging trends

Omnichannel customer service is evolving, but not without growing pains. Many companies are still trying to connect the dots between systems, teams, and channels. At the same time, customer habits are shifting fast, often outpacing how businesses respond.

Here's how those changes are starting to show up in the data:

  1. Between 2022 and 2023, video support dropped from 0.6% to 0.4%, and email declined from 17.8% to 16.5%. In contrast, quicker channels saw growth — SMS rose from 1.3% to 1.6%, social media from 2.8% to 3%, and live chat from 7% to 7.2%. This shift signals a growing customer preference for faster, more convenient support options. (Deloitte Digital)
  2.  Only 13% of companies report that customer data, history, and context carry over fully across interactions and channels. This shows that most businesses still struggle to deliver seamless experiences, forcing customers to repeat themselves and slowing down issue resolution. (Deloitte Digital)
  3.  By 2028, 30% of Fortune 500 companies are expected to consolidate customer service into a single, AI-powered channel, moving away from traditional multichannel support. (Gartner)
  4.  A survey found that 45% of people turn to generative AI tools for quick answers instead of using official customer support channels. This shift impacts omnichannel strategy as customers are no longer sticking to brand-owned channels. To stay relevant, businesses need to rethink support by including third-party AI platforms as part of the overall customer journey. (Gartner)

How Plivo streamlines omnichannel support for better outcomes

Plivo is an all-in-one omnichannel customer service platform that helps you deploy AI agents, which can deliver faster answers, fewer handoffs, and smoother customer journeys across every channel.

But, Plivo’s AI Agents go beyond chatbots. It can engage in human-like conversations, understand intent, and guide customers from discovery to purchase. Whether it’s voice, WhatsApp, webchat, or SMS, they respond with consistent context and clarity across all channels.

For example, if you’re a retail business, Plivo’s AI Shopping Agent can help customers instantly find the right products, compare options, and check what’s in stock. Your customers get quick answers, and your team can focus on more important conversations. 

Image depicting Plivo’s AI Shopping Agent feature
Find the right products, compare options, and check stock with Plivo’s AI Shopping Agent.

Similarly, with Plivo, you can build AI Sales Agents to qualify leads, recover carts, book appointments, and suggest products. On top of that, each agent is fully customizable to match your brand’s voice and integrate with your product catalog, FAQs, and business rules.

Image depicting Plivo’s AI Sales Agent feature
Qualify leads, recover carts, book appointments, and suggest products with Plivo’s AI Sales Agent.

Plus, with Plivo’s Unified Agent Desktop your support team can see conversations from every channel on one screen and can intervene when needed. 

With built-in tools like live call barge-in, real-time coaching, and in-depth analytics, you’ll stay in control while your AI agents handle the workload.

 Image showing the dashboard of Plivo’s Unified Agent Desktop
View all conversations from every channel in one screen with Plivo’s Unified Agent Desktop.

If your business is ready to scale personalized service across channels, Plivo makes it possible. Get started for free today.

Jun 17, 2025
5 mins

14 RCS Use Cases for Your Business

Discover 14 high-impact RCS use cases to engage customers, boost conversions, and improve communication.

RCS
Industry Insights

Back in 2007, most retailers didn’t sell on mobile. 

Fast forward to today, and smartphones now drive 78% of global retail traffic and generate 68% of online orders. To match this shift in behavior, your messaging needs to meet customers where they are and how they prefer to engage.

SMS still delivers results with extremely high open rates and a 90-second average response time. However, it lacks the interactive, visual experience modern users expect. 

Apps, meanwhile, offer rich functionality—but most users abandon them quickly, with 77% uninstalling or going inactive within three days. That’s where RCS comes in.

RCS (Rich Communication Services) combines the reach of SMS with the rich features of apps with images, buttons, and video without needing a download.

In this blog, we cover how RCS compares to traditional SMS and other messaging platforms, along with 14 practical use cases your business can start using today.

RCS vs traditional SMS: What’s the difference? 

To put it simply, SMS is rudimentary, whereas RCS is built for modern mobile users.

For example, with SMS, you’re limited to 160 characters of plain text. It doesn’t have any branding, media, buttons, or delivery insights. It works, but doesn’t stand out.

RCS messaging changes that. It lets you send messages that look and feel like mini apps within the default messaging app on Android. 

Think images, videos, product carousels, quick reply buttons, and more with your business name and logo.

Here’s how they compare:

Feature SMS RCS
Message type Plain text only Rich media (images, video, carousels)
Character limit 160 No strict limit
Branding None Business name, logo, verified sender
Interactivity None Buttons, quick replies
Delivery reports Basic (if available) Read receipts, click tracking
Opt-in experience Basic Seamless and branded
User experience Functional, minimal Engaging, app-like

RCS compared to other rich messaging channels 

If you’ve used WhatsApp, Facebook Messenger, or Apple Business Chat to engage customers, you’re already familiar with rich messaging: images, buttons, and fast replies. 

But each of these platforms comes with limitations around reach, access, and control.

Channel Reach Branding Setup User control Cost
RCS Android & iOS 18 users (no app needed) Yes (name, logo) No app installation High (native inbox) Competitive (per message)
WhatsApp Only WhatsApp users Yes WhatsApp Business API Medium Higher (session-based)
Facebook Messenger Facebook users only Limited Business account needed Low Tied to ad spend
Apple Business Chat iOS 18 users with iMessage Yes (via Business Chat profile) Apple approval + integration High (native app) Variable (depends on provider)

Benefits of using RCS for businesses 

With over 1.4 billion global users and nearly 30% smartphone penetration, RCS gives you the scale of SMS with the functionality of an app. If you’re aiming for higher engagement, stronger branding, and quicker conversions, these benefits show why RCS deserves your attention.

Bar chart showing RCS growth
RCS messaging users hit 1.5B with 36% growth-Source

Higher engagement than SMS

We are visual creatures. With rich visual elements and interactive content, customers are more likely to engage, explore, and act. This makes your messages harder to ignore and easier to convert.

Better branding with verified sender and media support

RCS messaging lets your business appear with a verified name, logo, and brand color. You can include product images, promo banners, and even videos directly in the message. This builds trust instantly and reinforces brand identity across every customer touchpoint.

Increased interactivity 

With RCS, you’re not limited to static text. You can add buttons for checkout, support, or store locator, or display a carousel of products right inside the message. You can guide the customer journey step by step with no external links or confusion.

Frictionless experience 

Unlike WhatsApp or mobile apps, RCS doesn’t need an app install or account login. It works natively in the Android messaging app, meaning your customer can view, interact, and buy without leaving the conversation. 

The result? Lower friction, faster action, and better results.

14 RCS messaging use cases

Here are some top practical ways you can use RCS to improve communication, boost conversions, and enhance the customer experience:

1.Order confirmations and delivery updates

RCS helps you send interactive, real-time order confirmations and delivery updates that look and feel like app notifications without requiring your customers to download anything.

That means, instead of plain SMS like “Your order #1234 has shipped,” you can send an RCS message with your brand logo, product image, estimated delivery date, a “Track Package” button, and even live updates if the status changes.

2.Appointment reminders and rescheduling

RCS lets you send appointment reminders that go beyond basic SMS alerts. You can include branded visuals, dates, times, and quick-reply buttons like Confirm, Reschedule, or Cancel within the same thread.

This not only reduces no-shows but also streamlines the rescheduling process without needing a phone call or a separate app.

RCS message for booking confirmation
Interactive RCS message for booking confirmation with action buttons-Source

3.Product promotions and flash sales

Grab attention during sales periods with RCS messages that feature product images, discounts, limited-time banners, and tappable CTAs like “Shop Now” or “Add to Cart.” 

Rich media helps offers stand out and drive faster conversions. 

Verified RCS message from “Daily-donuts”
Branded RCS message promoting a 25% discount on all items-Source

4.Cart abandonment recovery

Recovering abandoned carts is easier with visuals and interactivity. RCS allows brands to send reminders with product thumbnails, prices, and direct checkout buttons. This also removes extra steps and brings users back into the buying journey, instantly reducing friction and increasing recovery rates.

5.Customer support follow-ups

Instead of email back-and-forth or disconnected phone calls, RCS enables support teams to send follow-ups in the same conversation thread. You can include options like “Issue Resolved,” “Still Need Help,” or “Talk to Agent,” allowing for faster resolution and better customer experience.

Smartbot
Smartbots can offer instant help for customer queries and follow-ups

6.Feedback and reviews collection

Asking for reviews or feedback becomes more effective when it’s quick and interactive. With RCS, you can send star-rating prompts, multiple-choice questions, or open-text feedback forms within the message. 

This increases response rates and helps gather insights without redirecting users to external sites.

7.Event invitations and RSVP management

Drive participation in events by sending visually rich invites through RCS. You can also include event images, time, location, and quick actions like RSVP Yes or Add to Calendar. 

With reminders in the same thread, you can boost attendance while keeping the experience friction-free.

8.Loyalty program updates

Keep your most valuable customers engaged by sharing point balances, rewards status, or tier upgrades through RCS. You can even embed CTA buttons to redeem offers, view rewards catalogs, or join challenges. This keeps customers informed while enhancing their overall experience with the brand.

9.Real-time order tracking

Deliver live updates on your customer orders directly via messages. Real-time order tracking provides customers with live information about their order status, including exact location, estimated delivery times, and direct tracking links. 

This not only streamlines operations by minimizing the volume of customer inquiries but also reduces customer anxiety about their purchase.

Verified RCS chat from “MAYI - HOMES”
Verified RCS message confirms delivery with branded business info-Source

10.Product recommendations based on behavior

Send personalized product suggestions using browsing or purchase history. RCS supports carousels with product images, prices, and CTA buttons, making it easy to go from message to purchase. Behavioral targeting combined with rich messaging leads to higher engagement and upsell potential.

11.Interactive payment processing 

Enable your customers to make secure payments directly via a chat interface. RCS can integrate with various payment gateways, allowing a smooth transaction experience without redirecting users to external sites or apps. You get to offer a more integrated and efficient service while reducing cart abandonment rates.

12.Feedback & surveys

RCS lets you send short, visual surveys right inside your customer’s messaging app. You can include star ratings, multiple-choice options, or a quick text box that requires no redirects or logins. 

It makes giving feedback feel effortless, so you’re more likely to get honest, timely responses.

13.Retargeting 

Think of the last time you got a discount code via text from a store you visited months ago. Now imagine that message with your name, product images, and buttons to claim the offer instantly.

That’s where RCS Business Messaging stands out. It brings together the visual appeal of display ads, the customization of email, and the reach of SMS in one message. 

14.One-time passwords (OTPs) 

Security and speed matter when you’re verifying a user. One-time passwords are essential for actions like logging in, making payments, or updating account info. But plain-text SMS OTPs often blend in with other messages and don’t always feel secure or user-friendly.

RCS makes OTP delivery clearer and more trustworthy. You can brand the message, verify the sender, and include visual elements like your logo or a status icon. The message appears in a trusted thread, reducing the risk of phishing.

Start creating richer conversations with Plivo 

Whether you’re sending order updates, promoting products, or collecting feedback, RCS is a better way to reach your customers where they already are

Plivo makes it simple to get started. It is an all-in-one AI-powered cloud communication platform that helps you send verified, rich messages at scale. 

Plivo’s RCS turns plain texts into branded, two-way conversations.This drives stronger engagement and better business results. It gets even better when paired with Plivo’s AI agents and unified customer data platform CDP, becoming a powerful tool for personalized, automated, and scalable marketing.

Here’s what you get with Plivo:

  • Real-time personalization: AI agents dynamically adjust RCS conversations based on unified customer profiles and real-time behavior triggers resulting in higher engagement, better conversion rates

  • Multi-channel fallback: When RCS isn’t supported by the user’s device or network, messages automatically switch to SMS guaranteeing message delivery and maintaining consistent communication across all devices

  • Conversational automation: AI agents seamlessly handle FAQs, process orders, schedule deliveries, and escalate complex queries, all within RCS. This reduces support costs, improves response times, and ensures a smooth, always-on customer experience
  • Comprehensive omnichannel Platform: Manage SMS, WhatsApp, Voice, Chat, and RCS from a single dashboard streamlining operations and reducing vendor complexity.

  • Enterprise-grade reliability: With 99.99% uptime and global infrastructure, Plivo ensures your campaigns and conversations are always on.

  • Built-in security and compliance: Stay protected and compliant with support for GDPR, HIPAA, and SOC 2, ideal for businesses in regulated industries.

  • Plug-and-play integration: Easily connect Plivo to your existing CRMs, marketing automation tools, and support systems to get started quickly without heavy development effort.

  • Future-ready capabilities: Stay ahead of the curve with a platform built for evolving customer engagement needs positioning your brand as an early mover in conversational commerce.

Ready to go beyond basic SMS and reach customers at speed and scale?

Book a demo now.

May 21, 2025
5 mins

RCS Chat Features: The Complete Guide to Next-Generation Messaging

Learn how next-generation RCS chat features are transforming business communication with rich media, better security, and real-time interactivity.

RCS
Industry Insights

You may wonder: “We’re already running SMS campaigns, why switch?”

Well, 70% of users are more likely to communicate with brands through interactive messaging.

Clearly, customers crave something richer than bland text. That’s where rich communication services (RCS) come in. RCS chat features combine the trust of SMS with the interactive messaging your customers expect.

Let’s look at how RCS message features go beyond “rich messaging.”

Why RCS?

A plain text message can inform or ask, but it rarely engages. And today’s customers expect visual stimulation. No surprise, then, that 73% of businesses considered this rising need and boosted their budgets for visual communication platforms in the past year.

RCS messaging turns those standard texts into a fully branded experience with product images, quick-reply buttons, appointment confirmations, and even order tracking.

Sam Jacobs, the Head of Marketing at Ammo, on switching from SMS to RCS, says, “Our audience is visually driven, and with RCS, we send them images of our new collections and restocks. The 160-character limit on SMS limited how well we could tell a brand story and share features of our products.”

Apart from the 160-character limit, SMS falls short as:

  • It supports only basic text and lacks interactivity or branding options.
  • There’s no way to know if a message was read, and to track customer engagement beyond delivery.
  • No sender verification means a higher risk of fraud and reduced customer trust.

SMS and RCS: How do they compare?

Before we dive into the RCS chat features, here’s a side-by-side breakdown of RCS vs. SMS to help you see how these messaging technologies differ and why RCS might be the smarter pick for your business.

Aspect SMS RCS
Technology Based on standard cellular network protocols (GSM/CDMA) Uses IP-based protocols via mobile data or Wi-Fi
Features Plain text only (160 characters), links allowed Rich media: images, carousels, videos, QR codes, quick-reply buttons, etc.
Interactivity One-way or basic two-way Highly interactive with chatbots, forms, and guided workflows
Delivery confirmation Limited (only for some networks and devices) Advanced read receipts, typing indicators, and real-time delivery status
Branding support No branding, it only shows a phone number Verified sender profiles with brand name, logo, and color themes
Internet required No, works over a cellular signal Yes, requires mobile data or Wi-Fi
Cost Typically lower per message, but lacks functionality It may cost more, but it offers better engagement and return on investment (ROI)

Now that we know how these compare, let’s dive into RCS chat features and their benefits.

Key RCS features that boost customer engagement

Customers want rich media, two-way communication, and interactive branded texts. But how do these features benefit your business?

Rich media support that keeps your brand top of mind 

With rich media support, you can engage customers with images, videos, carousels, and GIFs directly in the message, making campaigns visually compelling and memorable. 

So a retailer can showcase new arrivals with product images and videos, rather than just a plain text link.

Example:

New Arrivals Are Here!

Message body:
Fresh looks just dropped! Check out our latest styles curated with product images, prices, and quick-buy options.

Carousel cards:

  • Image 1: "Linen Summer Dress"
    Button: [Shop Now]
  • Image 2: "Relaxed Fit Shirt"
    Button: [View Details]

How does this benefit your business?

  • Grabs attention instantly
  • Boosts engagement and click-throughs
  • Improves product discovery
  • Strengthens brand recall
  • Reduces friction in the buying journey
  • Ideal for mobile-first shoppers

If your business has visual appeal, frequent promotions, or products/services that benefit from being “seen,” this feature helps.

Typing indicators and read receipts to optimize campaigns 

Unlike traditional SMS, you’ll know if your offers have been read, so you can fine-tune your send times and messaging strategies for maximum impact.

For example, if you see most customers read your message in the evening, you can schedule future offers to hit inboxes at that peak time for better results.

How does this benefit your business?

  • Follow up at the right moment
  • Get clear visibility into customer engagement
  • Reduce response time with proactive support
  • Refine campaign timing based on user behavior

Any business with a strong need for customer service, fast issue resolution, or timely decision-making benefits from this feature.

Suggested replies and quick actions for a smooth buying journey  

You can make it easy for customers to respond or take action with a single tap, boosting conversion rates and reducing friction.

For example, a bank can send a payment reminder with actionable buttons like “Pay Now” or “Contact Support,” while a sports facility can let users confirm or reschedule turf bookings — all through Plivo’s RCS messaging.

An image showing Plivo RCS API asking the user to act on their booking
Empower customers to confirm or reschedule with just one tap
💡 Why use RCS through Plivo?

Unlike most standalone RCS providers, Plivo lets you manage RCS, SMS, WhatsApp, and Voice from a single API and dashboard. You get unified delivery tracking, shared templates, and consistent analytics across channels.

Plivo also supports dynamic routing, which falls back to SMS when RCS isn’t supported on the recipient’s device, so your message still gets delivered without building separate logic.

How does this benefit your business?

  • Speed up customer responses
  • Guide customers toward desired actions
  • Reduce support workload
  • Gather better data

Verified sender and branding to foster consumer trust

With verified business profiles, logos, and colors directly in the chat, users are more likely to trust your business. Plus, when they see your logo and a verified badge, it reduces fraud risk and increases open rates.

An image showing an example of normal SMS vs. RCS messaging
Win customer trust with branded text messages

How does this benefit your business?

  • Build immediate trust with customers
  • Increase open and engagement rates
  • Protect brand reputation against spoofing
  • Enhance message consistency across campaigns
  • Reinforce brand identity in every interaction

Any business that wants to minimize fraud and prevent spoofing benefits from this feature. 

Two-way interactivity to decrease wait times

RCS message features enable real-time, dynamic conversations where customers can ask questions, get support, or make purchases without leaving the chat.

For example, an airline can handle booking changes or customer queries instantly instead of relying on slow SMS replies or call centers. Passengers can even browse flight options, seat upgrades, or travel add-ons without leaving the chat.

An image showing a flash sale and redirecting customers to the brand page without leaving chat
 Let customers browse and shop your products without leaving the conversation

How does this benefit your business? 

  • Increase customer engagement through personalized messaging
  • Resolve queries faster with back-and-forth messaging
  • Reduce support wait times with instant communication
  • Improve satisfaction by making customers feel heard

Delivery and engagement analytics

How can you be sure customers are even seeing, let alone clicking, your messages?

RCS messaging features include access to detailed analytics on delivery, reads, clicks, and engagement to maximize delivery and empower data-driven marketing. The data helps you see which promotions drive clicks and optimize future campaigns. (something SMS simply can’t provide!)

How does this benefit your business?

  • Gain visibility into message delivery and read status
  • Optimize send times and content based on real engagement data
  • Reduce guesswork in campaign performance
  • Improve ROI by doubling down on what works
  • Track user behavior to personalize future campaigns

This feature helps marketing teams across industries analyze key success metrics and optimize strategies based on data.

End-to-end encryption (where supported)

This feature assures customers' privacy and security, especially for sensitive transactions or personal information. Industries like healthcare providers or banks can communicate securely, unlike with unencrypted SMS.

How does this benefit your business? 

  • Protect sensitive customer data in transit
  • Build trust by ensuring message privacy
  • Comply with industry regulations and standards
  • Reduce liability from data breaches

Any business handling sensitive information, like patient data protected under the Health Insurance Portability and Accountability Act (HIPAA), financial transactions, or compliance-regulated customer details, can benefit greatly from this feature.

Interactive messaging functions to increase open rates

A travel agency that lets customers swipe through a carousel of dreamy destinations right inside their chat is far more likely to secure a booking than one that sends a plain text list.

With interactive messaging functions, you can use carousels, rich cards, and buttons to create immersive, actionable experiences within chat.

For example, Elizabeth Lawrence, Managing Editor at American Military News, shares how using RCS for state‑specific polling initiatives boosted customer engagement and helped them build more precise, targeted strategies.

“We sent a message that had the poll link, a short issue summary, and two reply buttons: 'I Support' or 'I Don’t.” Once clicked, the respondent got follow-up content based on their answer, like tailored videos, quotes, and even links to community events.”

On talking about how it helped them segment their audiences better, she said:

“Instead of shouting at everyone with the same message, we let them direct the conversation with one tap. That gave our analytics team cleaner segments and gave users content they wanted.”

How does this benefit your business?

  • Improve engagement by delivering location-relevant content
  • Increase conversion rates through personalized messaging
  • Gather more accurate customer insights and preferences
  • Reduce campaign waste by avoiding irrelevant outreach
  • Support A/B testing based on region or segment behavior

Engage smarter with Plivo’s RCS features

With rising expectations for faster support, more personalization, and app-like messaging experiences, you can't rely on basic SMS alone. Plivo’s RCS messaging capabilities make a significant difference here. It brings the power of rich, interactive communication to your existing systems to drive engagement, automate conversations, and build trust at scale.

Plivo easily plugs into your existing communication stack via intuitive APIs, so you can start using RCS without overhauling your infrastructure. You can also pair it with AI Agents to automate FAQs, drive personalized recommendations, and resolve queries 24/7.

Whether you’re a retailer promoting a product drop, a bank confirming transactions securely, or a healthcare provider following up on appointments, Plivo’s RCS solution ensures your message is timely delivered, seen, clicked, and remembered.

Get started for free to see it in action!

May 21, 2025
5 mins

RCS Business Messaging: The Smart Way For Engagement

Upgrade your customer communications with RCS for business messaging and drive higher engagement rates.

RCS

SMS has helped businesses with a wide reach for decades, but its limitations are clear: no branding, basic text only, and zero interactivity.

With rich communication services (RCS) business messaging, you’ll never have to choose between rich features or universal reach. It offers both and transforms standard texting into an interactive experience without requiring customers to download a third-party app.

Today, over a billion users have access to RCS across major platforms. So it’s high time we moved past the “should you use RCS” to “how quickly you’ll capitalize this unified messaging ecosystem” ones.

Here’s everything you need to know about RCS business messages, their types, capabilities, and use cases to streamline customer engagement.

What is RCS business messaging?

RCS messaging is a protocol that upgrades text messaging beyond the basic limitations of SMS. It adds features like high-resolution images, typing indicators, read receipts, and interactive buttons — all delivered directly to a mobile phone's native messaging app.

Simply put, RCS is SMS with superpowers.

While SMS limits you to 160 characters of plain text, RCS lets you send videos, offers suggested replies, and includes branded messages to help recipients take action right from the message.

Here’s an in-depth SMS vs. RCS discussion to catch up on their differences and benefits.

RCS vs. RCS business messaging

RCS is the technology standard used by both consumers and businesses. RCS business messaging (RBM) takes these capabilities and tailors them specifically for companies. The purpose is to communicate with customers through verified business profiles with enhanced features for marketing, customer service, and transactional messages.

Barclays used RCS for business to reduce branch visits by guiding customers to their mobile app.

Their messages asked if customers knew they could make payments themselves, included a "See how" button that played a tutorial video, and provided a direct download link. This self-service approach improved customer experience while reducing operational costs.

Screenshot of Barclays using RCS business messaging for app adoption
RCS helping customers adopt mobile banking

Capabilities that RCS provides your business with

Here are the key features that make RCS better than traditional SMS.

Verified sender profiles

Trust drives purchasing decisions, and 87% of customers will pay more for products from brands they trust.

Every RCS business message comes from a verified sender profile that displays your business name with a verification badge. This tells recipients they're receiving legitimate communications, not spam or phishing attempts.

Promotional RCS for business messaging with verified sender badge
Verified business profile with promotional offer

Branded messages

Your logo, brand colors, and business name appear at the top of every RCS communication. 

Studies show that 86% of consumers made two or more purchases in the previous year directly from branded text messages. When customers see your logo and signature colors in their messaging app, they're already primed to engage.

Delivery confirmation using RCS for business messaging
Business info card in order tracking message

Modern interactive features

RCS supports a range of interactive elements that static SMS can't match.

Rich cards combine media, text (title and description), and calls to action (CTAs) in a single message. These cards can link directly to products, allowing customers to go from message to purchase with one tap.

 Image of an RCS business message with rich cards highlighted with black boxes
Rich cards illustrated in RCS for business messaging

Further, carousels let customers swipe through multiple products or offers without leaving the messaging app.

Cross-platform support

Apple's iOS 18 update, which introduced RCS support, has significantly reduced the communication gap between Android and iPhone users.

With both Android and iOS supporting RCS, you can now reach virtually all smartphone users with rich, interactive messages. There’s no need for separate strategies for different devices.

Advanced analytics

RCS provides detailed engagement metrics beyond simple delivery reports.

You can access read receipts, typing indicators, and click-through rates (CTRs) for every interactive element. This data shows which cards, buttons, or documents drive the most campaign engagement.

You can monitor read reports, customer actions, and identify trends to adjust your campaign strategies.

RCS vs. SMS vs. MMS: What's the difference?

You've used all three at some point: SMS for basic text, MMS for image transfer, and maybe RCS without even realizing it.

But what makes them fundamentally different? Let’s see.

Features SMS MMS RCS
Character limit 160 characters 1,600 characters Up to 3072 characters
Media support Text only Basic images, audio High-resolution images, videos, GIFs, and carousels
Interactive elements None None Buttons, quick replies, calendar links
Branding No No Verified sender, logo display
Analytics Delivery reports only Delivery reports only Read receipts, engagement rates
Delivery method Cellular networks Cellular networks Internet connection

Types of RCS for business messaging

Moving beyond the technical differences, let's look at how businesses apply RCS messaging in practice. Unlike SMS, RCS gives you three distinct message formats to match your communication needs.

Basic messages

Basic messages work much like SMS but with verification. They contain text-only content within 160 characters and include URL previews that recipients can tap to visit your website.

Time slot reservation through RCS for business messaging
Simple booking confirmation via RCS

What sets these messages apart from SMS is that they come from verified business profiles with a brand logo displayed. This verification immediately creates trust, even though the message itself is simple.

Basic messages work best for:

  • Authentication codes and one-time passwords
  • Appointment reminders
  • Order confirmations
  • Service updates

The biggest advantage is that you can often use your existing SMS API and pricing structure. Many providers automatically "upgrade" SMS to Basic RCS messages on compatible devices, making this a zero-effort enhancement.

Verify new users with Plivo

Plivo Verify API handles customer authentication with 95% conversion rates across 150+ countries. Send OTPs via SMS, voice, and WhatsApp with pre-registered sender IDs that bypass regulatory hurdles.

You only pay for channel costs with no verification fees, while the built-in Fraud Shield protects against SMS pumping fraud.

Single Rich messages

Single Rich messages break free from text-only limitations by adding visual and interactive elements. Here’s what you can include with these messages:

  • High-resolution images and videos
  • Interactive buttons for direct actions
  • Rich cards displaying product information
  • Carousels showcasing multiple items
  • Location data with map previews
Retail experience enhanced through RCS for business messaging
Product catalog with appointment confirmation

For example, take a travel company sending a booking confirmation as a Single Rich message. They add the hotel image, display the check-in date, and use action buttons to "Add to Calendar" or "View Reservation Details."

The result is high engagement with minimal backend efforts.

Conversational messages

Conversational messages enable real-time, two-way discussions between brands and customers.

They come in two forms. Brand-initiated (A2P) starts when a customer responds to your Basic or Single Rich message within 24 hours. On the other hand, user-initiated (P2A) begins when a customer messages you first or responds after the 24-hour window.

RCS business messages enabling conversational capabilities
Conversational between a brand and a customer

With these messages, your business can:

  • Handle customer service inquiries
  • Provide personalized recommendations
  • Guide customers through complex processes
  • Qualify leads before transferring to sales

The messages require more backend work but deliver the full RCS experience.

Say a travel company could help a customer select vacation packages, add excursions, and complete the booking, all without leaving the message thread.

RCS business messaging use cases

Now that you know the different types of RCS, it’s time to see them in action. Here are some ways businesses use RCS messaging and drive results.

Marketing campaigns

With RCS marketing, it’s easy to create immediate connections through visual content that customers can act on directly. You send product showcases with embedded purchase buttons, surveys with tappable answers, and promotions with instant booking options.

A mobile chat interface from EaseMyTrip conducting a customer survey with multiple-choice questions
EaseMyTrip uses an interactive RCS survey to engage customers

For example, EaseMyTrip used RCS for a post-COVID travel survey with quick-tap answer options and a thank-you coupon.

The campaign achieved a 4x higher CTR than email and 10x more survey completions, resulting in a 2.7% increase in conversion rate.

Holiday promotions

Holiday shopping periods demand special attention. RCS makes your seasonal promotions stand out with visual product showcases, limited-time offer countdowns, and immediate purchase paths.

Nespresso used RCS for their holiday campaign to showcase their lesser-known accessory collections as gift options.

A mobile RCS message from Nespresso promoting personalized gift ideas for the holiday season
Nespresso uses RCS to offer personalized holiday gift recommendations

Their messages featured product carousels with direct purchase links. Making the experience interactive and circular (allowing users to replay or explore more) facilitated a 25% increase in purchase intentions.

Payments and transactions

RCS streamlines financial transactions with secure, interactive payment flows. Banks can send payment requests with verification buttons, fraud alerts with immediate action options, and bill reminders with one-tap payment capabilities.

A mobile RCS message from Axis Bank showcasing various financial products with interactive buttons
Axis Bank uses RCS messages to promote loans and credit cards

Take Axis Bank, which implemented RCS for loan, credit card, and fixed deposit management.

Their interactive banking chatbot activated over 2,000 users, enabled 45% cross-sell opportunities, and processed 6.5% of service requests directly through RCS messaging.

Customer engagement and loyalty

Loyalty programs often fail because they're forgettable. Instead of sending a static "You have 250 points" message, RCS creates interactive experiences.

Here, customers swipe through reward options, play mini-games to earn bonus points, or receive personalized recommendations based on their preferences.

ENGIE tackled its inactive loyalty program with an RCS Advent Calendar. Each day revealed new surprises, educational content about their "Mon Programme pour Agir," and opportunities to earn and immediately redeem points, transforming a forgotten program into a daily habit.

Travel check-in and boarding passes

RCS streamlines travel experiences by combining reservation management, check-in, and digital boarding passes in a single conversation.

Airlines can walk passengers through seat selection, meal choices, and safety information with visual guides and simple taps, then deliver a scannable boarding pass directly in the messaging thread.

 A digital boarding pass from Happy Skies Airlines with an option to add the pass to Google Wallet
Happy Skies Airlines provides a convenient RCS boarding pass

Google's RCS integration with Google Wallet lets travelers save their boarding pass with one tap. Once saved, the pass updates automatically with gate changes or delays, ensuring travelers always have accurate information without searching through emails or downloading airline apps.

RCS for business messaging is the future

As we've seen across these use cases, RCS is not an emerging technology anymore; it’s become a communication standard. But where is this technology headed?

According to Juniper Research, RCS business messaging will grow from just 3% of operator messaging revenue in 2024 to 18% by 2029. Total revenue will jump from $1.8 billion to $8.7 billion — a 370% increase in just five years.

Tweet about RCS for business messaging ROI benefits
Business ROI improvements with RCS messaging

What's driving this growth? Trust.

As SMS becomes increasingly compromised by scams and phishing attempts, businesses are migrating to RCS, where brand verification comes standard. 

Market penetration is another factor. With Android holding over 70% of the global mobile market share and Apple's adoption, RCS now reaches every smartphone user. This universal reach without requiring app downloads gives RCS a significant advantage over platforms like WhatsApp or Facebook Messenger.

The integration of AI with RCS will further accelerate adoption.

Smart chatbots that understand customer intent can handle routine inquiries and provide a personalized experience. Unlike traditional chatbots, RCS bots can share rich media, walk customers through complex processes with visual guidance, and seamlessly transfer to human agents when needed.

For your business, this transition represents an opportunity to get ahead. Companies that adopt RCS now will build familiarity with the platform while developing communication strategies that take full advantage of its capabilities.

Simplify your customer engagement with Plivo RCS API

With RCS positioned to transform business messaging, you need the right tools to capitalize on this opportunity.

Plivo's RCS API helps you bridge the gap between current SMS capabilities and the personalized, advanced experiences customers now expect. The platform's pay-on-delivery model means you only pay for messages that reach customers.

You also get valuable engagement metrics, including read receipts and button click data that traditional SMS can't provide. Plus, there are intelligent chatbot flows to help with instant issue resolution.

With RCS expanding its user base and showing engagement rates 35x higher than email, Plivo's API gives you a direct path to this growing audience. If your customers are among the 70% more likely to engage with brands through RCS, Plivo gives you the tools to meet them there.

Get started for free and build better customer conversations today.

May 21, 2025
5 mins

36 Key CX Statistics Every Business Should Know in 2025

Know about key 36 CX statistics for 2025, including industry benchmarks, and the impact of personalized experiences on customers. Read more.

Customer Experience

Many businesses invest heavily in customer experience(CX) strategies, believing that the right tools and technologies will immediately improve their bottom line. 

They make changes, launch campaigns, and yet...

Customer satisfaction scores do not bulge, retention rates stay the same, and the promised growth in revenue feels elusive. 

This often leads to the question: Is CX really the key to success?

Here's the thing: Successful CX strategies depend on measuring what truly matters, not just implementing random initiatives. When you track and optimize the metrics that capture genuine customer behavior patterns and pain points, your customer experience strategy transforms from a costly obligation into your most powerful revenue engine.

In this article, we'll explore the critical customer experience stats and CX trends for 2025 that provide actionable insights to not only meet customer expectations but exceed them in ways that impact your bottom line.

Why CX statistics matter for businesses

Alt Text: Icons showing the benefits of a good customer experience
Getting customer experience right leads to stronger loyalty, positive word of mouth, and more repeat purchases.
  • Improving customer engagement and satisfaction: CX statistics help businesses understand customer behavior and preferences. This allows them to tailor interactions for better engagement and satisfaction.
  • Using data to support budget allocation: With clear CX data, businesses can demonstrate the value of customer experience improvements. This justifies the allocation of resources and budget for CX initiatives.
  • Identifying key areas for improvement in CX strategies: CX statistics highlight pain points and gaps in the customer journey. This enables businesses to focus on areas that need optimization to enhance the overall experience.

36 eye-opening customer experience statistics 

To stay ahead, businesses must keep a close eye on emerging trends and some important customer experience data that will define the future of CX. 

1. Customer satisfaction rates and benchmarks

As we look ahead to 2025, businesses must stay on top of evolving customer experience (CX) trends and performance metrics. According to Gartner, conversational generative AI (GenAI) is a top priority in 2025 to enhance customer interactions and drive enterprise growth through upselling and cross-selling.

Customer satisfaction is typically assessed using several key metrics:

Metric Description Scale/Range
Customer Satisfaction Score (CSAT) A straightforward metric obtained by asking customers to rate their satisfaction with a product or service. Typically 1-5 or 1-10
Net Promoter Score (NPS) Measures customer loyalty by asking how likely customers are to recommend a company to others. -100 to +100
Customer Effort Score (CES) Evaluates the ease of customer interactions and resolutions. Lower scores indicate less effort required by the customer. No specific scale

Key statistics on CX satisfaction and expectations

As customers use multiple channels, businesses need to focus on offering smooth experiences across all touchpoints.

2. Response times and customer expectations

In 2025, customer expectations regarding response times have become more stringent. 

According to IBM, 60% of service professionals report that customer expectations have increased since before the pandemic, making timely responses critical to customer retention and business growth. 

IBM also highlights that quick resolution and reducing handling time to 53 seconds per interaction for one of their clients significantly improves customer satisfaction.

This is primarily influenced by technological advancements in digital communication channels. 

Here's an overview of the current landscape:

  • Customer service teams respond to requests in an average of 12 hours and 10 minutes.
  • In the US, 46% of consumers are willing to wait up to three days for a response from a brand they contacted.
  • Email response time is a critical KPI; responding within 5 to 10 minutes can reduce customer dissatisfaction by 400% 

Meeting customer expectations requires strategic investments in staffing, technology, and process optimization to ensure timely and effective customer service.

3. Understanding the shifting channels of customer interaction

The digital transformation of customer interactions has fundamentally reshaped how businesses engage with consumers. Channel preferences are evolving rapidly, and omnichannel strategies have become non-negotiable for competitive success.

The dominance of traditional and digital channels

A survey conducted in 2024 in the United States examined consumer preferences for channels when interacting with AI-powered customer service. 

For both consumers aware and unaware of AI, phone support emerged as the top choice, with 72% of the aware group and 65% of the unaware group preferring it. 

The second choice for the aware group was online support, with around 60% opting for it, while for the unaware group, SMS or text support was the second choice, with about 55% preferring it.

This persistence highlights the enduring value of human-like interaction, even in AI-enhanced systems.

However, text-based channels are gaining ground; 86% of businesses utilized SMS marketing in 2023, marking a 56% increase from 2022.

Generational differences make it harder to create effective channel strategies. Gen Z consumers prioritize social media and mobile-first platforms, with 78% of U.S. TikTok users making purchases based on influencer recommendations. 

On the other hand, 57% of shoppers aged 18 to 24 discover new products through recommendations, highlighting the importance of personalized suggestions for younger demographics. This contrast underscores the need to tailor strategies to different generations.

4. The role of AI and automation in CX

AI-driven solutions are becoming an integral part of customer support. The adoption of AI technologies simplifies customer operations and also reduces costs. 

Let’s take a look at some key statistics showcasing the impact of AI in customer support and service.

  • Global AI adoption in customer support:  80% of companies are either using or planning to adopt AI-powered chatbots for customer service by 2025. 
  • AI in healthcare: NIB Health Insurance saved $22 million through AI-driven digital assistants, reducing customer service costs by 60%. 
  • AI's Impact on customer support efficiency: AI-enabled customer service teams have saved 45% of the time spent on calls, resolving customer issues 44% faster, leading to reduced operational costs.
  • Increased AI utilization across functions: A McKinsey survey reveals that the use of AI has risen from 72% in early 2024 to 78%, with significant adoption in marketing, sales, and service operations

5. The impact of personalization and hyper-personalization in CX

Customers expect tailored experiences that address their needs, and businesses that excel at personalization are reaping the rewards. 

Generative AI is helping brands to scale this personalization, and as AI continues to evolve, hyper-personalization is now possible, where every interaction feels unique. 

The global revenue of the customer experience personalization and optimization software and services industry is projected to reach 11.6 billion U.S. dollars by 2026, marking an increase of over 65 percent from current levels.

AI-driven platforms, like Plivo, are enabling businesses to scale hyper-personalization. By integrating communication channels, they tailor experiences to meet each customer's unique preferences. 

Here are some key statistics that highlight its influence on customer behavior:

  • 84% of customers prefer companies that offer a personalized experience 
  • 79% consider a personalized experience important when combining "Very Important" and "Important" ratings
  • AI-powered personalization can drive up to a 15% increase in revenue
  • 61% of consumers would spend more for tailored experiences, yet only a quarter (25%) of experiences are considered highly personalized.

Unifying customer data for intelligent experiences

The key to providing personalized customer experiences is integrating and unifying data across multiple platforms. Businesses that connect customer touchpoints can create a more intelligent and cohesive experience.

  • 70% of marketing leaders struggle with disconnected customer data and are unable to reach ideal segments
  • Unified data enables both AI and human agents to offer more accurate and personalized service.

CX ROI and business outcomes

Investing in customer experience improves customer satisfaction and also delivers clear business outcomes, from higher revenue growth to greater profitability.

According to Forrester, here are some key stats showing CX's impact on organizational performance:

  • 41% faster revenue growth for organizations that excel in CX.
  • 49% faster profit growth and 51% better customer retention for customer-obsessed businesses.

The impact of poor customer experiences on churn

Failing to meet customer expectations can have severe consequences like lost sales and damaged reputations. Poor experiences are a leading cause of churn and can cost companies billions.

According to IBM, voluntary customer churn-where customers leave due to reasons such as bad customer experience-accounts for about 3% of the average churn rate, compared to 1% for involuntary churn. 

This highlights that poor customer experience is a significant driver of customer loss.

How industries are adapting to CX shifts

Here’s a look at how various sectors are adapting to meet the rising customer expectations.

Retail

Retail has undergone a dramatic transformation with the rise of e-commerce and the demand for seamless omnichannel experiences. Retailers are now focusing on integrating their online and in-store services to provide a smooth shopping experience for consumers.

For example, luxury auto manufacturers and retailers improved their industry-average CX score in 2023, with brands like Infiniti, Lincoln, and Tractor Supply joining the top 5% of brands in the CX Index.

Banking

In banking, the shift toward digital-first solutions is changing how customers engage with financial institutions. From mobile banking apps to AI-driven financial advice, banks are leveraging technology to meet the needs of tech-savvy customers.

  • 78% of financial institutions have implemented generative AI to enhance customer service, simplify interactions, and boost efficiency.
  • Banks are increasingly adopting hybrid cloud technologies to securely store and manage customer data, with over 60% of CEOs in the banking sector prioritizing cybersecurity as part of their CX strategy.

Telecom

The telecom industry is embracing automation and AI to improve customer service and manage the increasing demand for better connectivity. Telecom companies are now offering more digital services to enhance customer engagement and satisfaction.

  • In 2024, the Communication & Media sector, which includes telecom companies, had the lowest customer satisfaction (CSAT) scores compared to other industries. However, in 2025, their CSAT score showed improvement, reaching 22.
  • 62% of telecommunications providers enhance customer experience through generative AI, with expectations to rise to 90% by 2027. 

Healthcare

Healthcare has become increasingly digital and is integrating new technologies to enhance patient care and improve operational efficiency.

A 2021 Accenture study revealed that two-thirds of Americans have had a negative healthcare experience, highlighting the need for significant improvements in service delivery.

Simplifying CX with Plivo’s AI-driven solutions

It is, undoubtedly, not an easy task to provide personalized, efficient customer support at scale is a significant challenge for many businesses today. Traditional customer service models struggle to meet the growing demand for real-time engagement and great customer experiences across multiple touchpoints. 

This is where Plivo CX steps in.

As an all-in-one omnichannel customer engagement platform, Plivo CX offers AI-driven solutions that simplify customer interactions and enhance overall customer engagement.

We deliver a suite of intelligent tools designed to optimize every aspect of customer service. This ensures timely and personalized experiences without draining your money.

Here’s how Plivo CX helps you to enhance CX and customer service:

  • Flexible customer segmentation: Use the Audiences feature to categorize customers based on their behavior, preferences, and past interactions. This ensures that each message is relevant and personalized for the right audience.

Timely engagement: Automate messaging and scheduling to engage customers at the optimal time across different time zones.

Alt text: Image of aThe interface for Plivo CX's no-code journey buildern automated SMS workflow that sends a personalized SMSImage caption: Plivo automates messaging to ensure timely customer engagement across time zones
Plivo CX’s intuitive no-code interface empowers marketers to build automated customer journeys
  • Sales conversion agent: Utilize AI to create personalized offers, guiding potential customers through the sales funnel with targeted messages.
  • Customer retention agent: Proactively reach out to inactive customers with tailored messages. This helps businesses re-engage and retain valuable customers while reducing churn.
  • Copywriter AI: Leverage Copywriter AI to craft compelling, personalized SMS with the help of AI-driven suggestions and pre-built templates. This ensures each message resonates with your audience.
Alt text: Plivo CGenerate marketing messages on the go with Plivo CX.X’s Copywriter AI interface to create personalized with AI-driven suggestions.Image caption: Plivo CX's Copywriter AI helps craft tailored SMS messages
craft targeted SMS campaigns with customizable settings—from tone to urgency
  • Pre-sales inquiry agent: Plivo’s AI-powered agents quickly and accurately handle inquiries. This provides prospective customers with the information they need to make informed purchasing decisions.
  • E-commerce platform integrations: Seamlessly integrate with popular e-commerce platforms like Shopify, BigCommerce, WooCommerce, and Magento. You can send notifications directly from your system.

With Plivo’s robust carrier network spanning over 220 countries, businesses can slash SMS expenses by up to 70% while experiencing a threefold increase in ROI. 

Businesses using Plivo CX have experienced impressive returns with $71 generated per dollar spent on SMS marketing campaigns. 

Book a free demo today and succeed in delivering exceptional customer service.

May 21, 2025
5 mins

Role of Real-Time Agent Assist in Contact Centers

Learn how real-time agent assist helps contact centers boost productivity, reduce call time, and support agents with live insights.

AI agents
Contact Center

Contact centers are stretched thin. Agents spend nearly 70% of their week on tasks that don’t drive revenue: searching for information, entering data, or answering repetitive queries.

While they jump between systems, customers are kept waiting. Supervisors catch these inefficiencies too late, and reactive tools only add to the delay.

Real‑time agent assist (RTAA) turns this around. It delivers the right information at the exact moment agents need it, helping them move faster and stay focused.

The results speak for themselves. Early adopters report a 15% increase in agent productivity.

Want to see how RTAA can transform your support ops? Let’s get into it.

What is real‑time agent assist?

Real‑time agent assist is a tool that gives support agents the information they need during a live call. It relies on natural language processing (NLP) and machine learning (ML) to understand what’s being said.

RTAA pulls relevant data from knowledge bases and customer relationship management (CRM) systems to show the best suggestions in real time. This cuts down on guesswork and lets agents handle issues more smoothly.

How does real-time agent assist work?

When an agent-customer call starts, the tool quietly works alongside them.

First, the system uses automatic speech recognition (ASR). The technology listens to the conversation and turns spoken words into written text.

Next, both the text and voice inputs are sent to spoken language understanding (SLU), which analyzes the words to understand their meaning and the emotions behind them. Then, before anything appears on the agent's screen, all this processed information passes through the recommendation system.

It analyzes everything and decides what insights are most useful for the agent at that exact moment. Some information becomes real-time guidance, while other details might be shown with specific advice.

Finally, agents see these processed insights instantly on their screens.

💡Example: A customer calls and says, “I’ve been overcharged again, and no one’s fixing it. This is the third time!”
  • ASR kicks in instantly, converting the customer’s voice into text in real time.
  • SLU then interprets that this statement shows strong frustration (emotional tone) and flags keywords like “overcharged” and “third time.”
  • The recommendation engine processes this data and identifies:
    • A billing issue is the topic
    • This is a repeat complaint
    • The customer is at escalated risk due to repeated unresolved issues
  • In under a second, the agent’s screen updates with:
    • Real-time prompt: “Apologize sincerely and confirm details of previous charges.”
    • Quick link: Pre-filled template for refund escalation.
    • Alert: “Repeat complaint; consider offering goodwill credit.”
  • The agent then calmly says, “I’m really sorry this has happened again. Let me pull up your previous charges and make this right immediately.”

    ✅ The customer feels heard, and the agent stays calm and efficient, thanks to RTAA.

These insights can be used through various features. Let’s examine these one by one.

Core capabilities of real-time agent assist

While the agent talks, this tool listens, understands, and acts — all at once. These are the core capabilities that make it happen.

Real-time guidance

Real-time guidance means agents get on-screen tips while they chat with customers. These suggestions help them fix issues and offer the right products. 

If the customer sounds frustrated, it even suggests what to say or when to escalate. Each tip shows up at just the right moment, so agents know what to do next without guessing.

The result is faster replies, fewer mistakes, and happier customers.

Plivo’s Unified Agent Desktop makes this possible by pulling everything into one place.

User interface of Plivo’s Unified Agent Desktop displaying conversations and customer information
Plivo’s Unified Agent Desktop

Let’s say a customer sends a WhatsApp message asking about a missing order.

The message pops up on the agent’s screen along with the customer’s full history. Past orders, complaints, call logs, and previous chats are right there.

User interface depicting the Integration capabilities of Plivo’s Unified Agent Desktop
Integration capabilities of Plivo’s Unified Agent Desktop

That’s because Plivo integrates with your e-commerce, CRM, and ticketing platforms — so all the context an agent needs is centralized.

If a customer asks about an order, the system spots the issue and instantly suggests the right tracking link.

The agent clicks, sends it over, and the problem’s solved in seconds.

Dynamic knowledge integration

When agents don’t have quick access to the right information, calls drag on, customers get frustrated, and issues go unresolved.

The challenge isn’t that answers don’t exist, it’s that they’re buried across tools, tabs, and team documents.

Dynamic knowledge integration solves this by pulling the right info from the right system at the right time without making agents search for it. Plivo brings it to life inside its Unified Agent Desktop with integrated knowledge bases.

User interface of Plivo’s integrated knowledge bases showing a conversation and return/refund instructions
Plivo’s integrated knowledge base
💡 Example: Suppose a customer calls with a billing question. The agent starts typing, and without leaving the screen, a suggested article pops up from your internal knowledge base, custom-built for your team. It includes billing steps, policy details, and even a reply template.

If the customer asks about a recent invoice, Plivo pulls the actual invoice from your billing system. If they want to know about service terms, it surfaces the most updated policy.

This leads to less time hunting, fewer errors, and better support.

Guided script

Live calls can go off track fast, especially when the issue is complex or the customer is upset.

Guided scripts help agents stay sharp by showing a live, step-by-step checklist during the call. It highlights what to ask, what to confirm, and what’s still pending. If the agent misses a key question, the system immediately flags it, ensuring nothing important gets overlooked.

During an insurance claim, for example, it might remind the agent to ask for accident details, vehicle info, and witness names.

This results in more structured calls, fewer mistakes, and customers feel like they’re in good hands.

Workflow automation

After every call, there’s more work to do — forms to fill, follow-ups to schedule, tickets to update. It eats into time and pulls agents away from the next conversation.

Workflow automation removes that extra load. It handles repetitive steps in the background, so agents can stay focused on helping customers.

Plivo makes that happen with AI Agents. They can log conversation details, trigger workflows, and update internal tools using existing business logic.

Tasks like refund approvals, appointment confirmations, loyalty updates, and survey requests are handled in the background. The agent finishes the call, and everything else moves forward on its own.

No repetition, no delay.

Why traditional support tools fall short

Most support tools weren’t built for fast-moving conversations or rising customer expectations. Here’s why they fall short:

Agents waste time chasing information

Customer data is often spread across disconnected tools like spreadsheets, emails, CRM entries, and chat logs.

Research shows this scattered setup costs workers 2.4 hours each day, as they switch between apps just to find basic information.

A simple billing issue might mean checking payment history in one place, looking up complaints in another, and searching inboxes for policy files. By the time the agent pulls everything together, the customer is already frustrated, and the call has gone longer than it should.

Supervisors can’t see what’s happening

Most tools only surface problems after the call ends, when it's already too late to fix anything.

Supervisors can’t see when agents are struggling or when conversations start to go off track. They miss patterns like a surge in refund requests or customers repeatedly asking about the same policy.

Without real-time visibility, there’s no way to coach during the moment or step in before things escalate. Feedback feels disconnected, and agents miss the chance to improve where it matters most.

For example, a customer keeps pushing back on refund terms, and the agent hesitates. With live monitoring, a supervisor could instantly suggest a better explanation or offer backup, turning a tense moment into a smooth resolution.

Reactive alerts that come too late

62% of customers expect companies to anticipate their needs, yet most support tools only react after an issue is raised. A missed upsell, a delay in apologizing, or a dropped follow-up often surfaces after the call ends, when it’s too late to fix.

Agents need prompts while the conversation is still happening.

For instance, during a billing call, a customer might ask if their current plan includes international coverage, signaling potential interest in an upgrade. Without a timely prompt, the agent moves on, missing a clear opportunity to upsell.

Without this real-time guidance, teams stay stuck in reactive mode as missed chances pile up, and customer trust takes a hit.

Benefits of real-time agent assist

With real-time support built into every step, agents don’t have to slow down or second-guess. Here’s how it plays out on live calls:

Live call and screen monitoring

Real-time tools follow both the conversation and what’s happening on the agent’s screen. If a customer asks a tricky question, the system can suggest a reply or surface the right info instantly.

The agent responds faster, and the call keeps moving.

Support that works anywhere

Agents get the same real-time guidance and assistance no matter where they’re based: at home, in the office, or working a hybrid schedule.

The system stays consistent across every setup, so there's no drop in support quality, no missing context, and no disruption to the customer experience.

Faster fixes, lower costs

When agents get instant guidance, they don’t need to put customers on hold or transfer the call. Problems get solved faster, customers don’t have to wait, and agents save time.

In the long run, this can bring down call costs without reducing service quality.

Less agent churn

Live calls are tough, especially when agents feel stuck. Real-time support takes some of that pressure off by offering help in the moment. It builds confidence, shortens training time, and makes the day-to-day feel less overwhelming.

How to implement real-time agent assist

Rolling out real-time agent assist successfully takes the right setup, the right tool, and a plan to make it stick.

Here’s how to do it step by step:

Step #1: Assess readiness

Before you roll out real-time agent assist, take stock of what you already have. Start with your tech. Are your current systems ready to connect with an RTAA tool? If they’re outdated or too siloed, you may run into issues early on.

Next, look at how your agents work. Where do they lose time or get stuck? Knowing this helps you spot where RTAA can step in and where you might need to adjust workflows.

And don’t forget your customers. What are the recurring problems they face? If you know what frustrates them, you can shape RTAA to address those gaps from the start.

Step #2: Choose the right solution

Real-time agent assist only works if it fits your operations, not the other way around. Many solutions promise "AI-powered support" but fall apart in practice with too many logins, clunky integrations, or dashboards that agents avoid.

To find a solution that works, look for these essentials:

  • Centralized experience: Agents shouldn’t have to juggle five tabs to help one customer. Look for an interface where voice, chat, tickets, customer history, and AI prompts all show up in one place.
  • Plug-and-play integrations: The tool must work with your existing CRM, ticketing, order systems, and knowledge base without breaking workflows or needing months of custom dev work.
  • Scalable performance: As teams grow and call volumes spike, the system should remain responsive. Look for solutions with proven uptime, low latency, and robust application programming interface (API) coverage.
  • No learning curve for agents: If it takes a training manual to use it, agents won’t. The tool should feel intuitive, like a natural extension of their workflow.

That’s exactly what you get with Plivo’s Unified Agent Desktop. It brings every customer interaction (voice, messaging, tickets, and insights) into a single screen powered by AI. The tool works behind the scenes to prompt, suggest, and guide in real time.

User interface of Plivo’s Unified Agent Desktop showing channel options like WhatsApp, Live Chat, and SMS/MMS
Centralized interface in Plivo’s Unified Agent Desktop

Step #3: Train and empower agents

The success of any real-time assist tool depends on agent adoption.

To build trust, start with a clear explanation of how the system works. Show agents what it listens for, how it generates prompts, and what kind of help it provides during live conversations.

The goal is to position it as a support system, not a surveillance tool.

Walk agents through real scenarios where the tool steps in, such as flagging rising frustration, suggesting a missing step, or surfacing key product info before the customer even asks. Once agents see how it helps them work smarter, they’re far more likely to rely on it.

It’s also important to keep the feedback loop open. Encourage agents to share what’s working and what isn’t. If something feels off or distracting, it should be adjusted.

Step #4: Measure impact

Once real-time agent assist is live, track what’s changing. Focus on call center metrics that reflect both performance and experience.

Start with these:

  • First call resolution (FCR): Higher resolution rates show that agents are handling queries more effectively during the first interaction, reducing the need for callbacks or escalations.
  • Average handle time (AHT): If calls become more efficient while maintaining quality, agents are clearly benefiting from timely prompts and faster access to answers.
  • Customer satisfaction (CSAT): An increase in satisfaction scores reflects smoother conversations and stronger outcomes from the customer’s perspective.
  • Agent retention: When agents feel supported and less overwhelmed, they’re more likely to stay, especially in high-volume or high-pressure environments.

These indicators work together to reveal the system’s true impact.

With Plivo, all of this data is accessible through a single interface, allowing teams to track trends, identify gaps, and adjust as needed without adding operational complexity.

User interface showing agent metrics, including the number of active agents and average handling time
Agent metrics in Plivo’s Unified Agent Desktop

Future-ready your contact centers with Plivo

Plivo CX gives enterprises a simpler, more flexible way to manage customer service. Its cloud-based platform brings everything — voice, chat, and messaging into one place. This helps your team focus on solving problems instead of switching tools.

Here’s what it brings to your contact center:

  • AI-powered live chat that answers common questions instantly using your knowledge base
  • Custom knowledge base integration so agents always have accurate, up-to-date information
  • Unified Agent Desktop to manage conversations across channels without losing context
  • Smart routing based on agent skills and predictive insights to speed up resolutions
  • Workflow builder to automate customer journeys across all communication channels
  • API support to customize workflows and connect with your existing tools

Get started for free and bring speed, clarity, and consistency to every customer conversation with Plivo CX.

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