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

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

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

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

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

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

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.

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.

AI Voice Agents for Real Estate (2026): 10 Tools Compared, Real Limitations and What Actually Scales
Compare 10 AI voice agents for real estate in 2026. Evaluate response time, CRM integration, multi-channel support, and scalability to find the right solution.
AI voice agents in real estate are all about response time, coverage and quick follow-through. If your system can't answer calls immediately, qualify intent, book tours and update your CRM without manual cleanup, it's not helping you win more deals; it's adding another layer for you to manage.
This guide isn't for browsing tools. It's for operators deciding whether to commit to AI voice agents in 2026 and ship something that actually helps you scale. We compare 10 platforms based on how they perform after signup, how fast you can go live, what breaks under real lead volume, and what it takes to keep them working week after week.
Top 10 AI Voice Agents for Real Estate (2026)
The goal here is simple: Helping you choose an option that you can launch confidently, not replace after the first integration headache.
1. Plivo
When aiming to build and scale AI voice agents for real estate, you care about two things: reaching prospects first and converting more inquiries into confirmed showings. Plivo excels here since it gives you production-ready AI voice agents that place instant callbacks, answer listing questions from your data, and book tours directly on your agents' calendars. They operate reliably across phone, SMS, WhatsApp and chat without stitching together telephony, AI models and messaging vendors.
Plivo is the AI agent builder platform for voice-first, omnichannel experiences—built on a carrier-grade telephony network trusted by Uber, Meta, Zomato, and thousands of businesses worldwide. Business teams can launch agents without writing code using Vibe agent. Engineering teams can orchestrate custom voice agents in code with full control. The foundation is Plivo's global communications infrastructure spanning 190+ countries: 15+ years of proven reliable infrastructure, low latency, and the call quality enterprises demand.
Core Capabilities:
- Inbound & Outbound AI Voice Agents: Handle live calls end-to-end, qualify intent, route intelligently and escalate to human agents when needed.
- Multi-Channel Agent Coverage: Run the same AI agent across phone, SMS, WhatsApp and chat with shared context across channels.
- No-Code AI Agent Builder (Vibe): Build and deploy voice agents using plain-English instructions, no prompt engineering or coding required.
- Build your way: Business teams launch with no-code tools; engineering teams build custom voice agents with full-code control. You're never forced into a single way of working.
- Vertically Integrated Telephony (CPaaS): Voice runs on Plivo's own global telephony infrastructure, avoiding third-party carrier dependencies.
- Low-Latency Voice AI Stack: Integrated TTS, STT and LLM orchestration enables sub-500ms response latency, critical for natural voice conversations.
- Enterprise-Grade Reliability: Built on Plivo's proven CPaaS platform with 99.99% uptime, 15+ years of reliable infrastructure, and global carrier connectivity across 190+ countries.
- CRM & Workflow Integrations: Pull customer context in real time and write call outcomes back to CRMs and support tools automatically. Connect Follow Up Boss, kvCORE, BoomTown, Salesforce, HubSpot, Google Calendar, Outlook, and your MLS/IDX feed.
- You own the stack: You get to choose your speech-to-text (STT), text-to-speech (TTS), and LLM while keeping prompts and data portable and avoiding lock-in.
Best fit if you:
- Need real-time voice agents that can operate continuously at scale.
- Want to avoid stitching telephony, AI and messaging vendors together.
- Plan to deploy across multiple channels, not voice alone.
- Have defined workflows for lead qualification, routing or follow-ups.
Not a fit if you:
- Only need a lightweight voice demo, basic IVR or short-term experiment.
- Want a fully turnkey, real estate-specific tool with no configuration or workflow control.
- Don't plan to integrate voice agents into your CRM, data stack or operations.
2. Luron AI
Luron AI is best suited for teams that need 24/7 AI voice agents that never miss calls and qualify leads automatically. It supports multilingual conversations and keeps pacing tight across accents and speaking styles. The system handles inbound and outbound voice conversations in dozens of languages and automates bookings and follow-ups without human staffing.
Core Capabilities:
- Instant call answer & qualification: AI answers every call, gathers intent, and qualifies leads without hold times.
- Multilingual support: Handles AI conversations in 45+ languages to cover diverse lead sources.
- Inbound & outbound support: Manages both types of calls and can also run outbound follow-ups.
- SMS, chat & email automation: Extends voice agents to text and messaging channels for a unified engagement approach.
- CRM & integration options: Connects to existing phone systems via SIP trunking and can integrate with CRMs and ticket systems.
Best fit if you:
- Want 24/7 lead capture and qualification without adding staff.
- Need multilingual voice conversations for global or diverse markets.
- Expect to automate bookings, follow-ups and reminders on voice and messaging channels.
- Have a CRM or existing phone system you must integrate with.
Not a fit if you:
- Only need a simple inbound answering or IVR replacement without automation.
- Want a solution focused on voice only, with limited channel reach.
- Prefer fixed, transparent pricing tiers publicly listed.
3. Callers AI
Callers AI is a platform for automating customer conversations with human-like voice agents that handle both inbound & outbound calls and messaging channels, powered by your brand's data and tone. It's focused on scaling high-volume voice interactions while maintaining contextual continuity across channels in a single branded voice experience.
Core Capabilities:
- Omni-channel AI interactions: Voice agents run across phone, SMS, WhatsApp and chat from a central AI brain.
- Human-like voice calls: Agents answer and place calls in a natural conversational style.
- Lead workflows & use cases: Supports lead qualification, cold call automation, appointment confirmation, retention flows and more.
- 24/7 availability & language breadth: Designed to handle calls and messaging around the clock, in multiple languages.
- Context remembering: Conversations carry context across voice and messaging so follow-ups feel continuous.
- Integrations & automation: Connects to CRMs and tools (300+ integrations) so call outcomes can update your systems.
Best fit if you:
- Want both inbound and outbound AI calling with consistent, natural-tone responses across channels.
- Need an AI system that can qualify leads, confirm appointments and manage follow-ups automatically.
- Are scaling high call volumes 24/7.
- Prefer a central "brain" that keeps context across channels and workflows.
Not a fit if you:
- Only want a basic voice or outbound dialer with limited cross-channel logic.
- Need a tool focused exclusively on simple IVR or basic routing without AI conversation layers.
- Prefer a product you can set up and forget in minutes without upfront configuration or workflow definition.
4. SquadStack AI
SquadStack AI is best suited for teams that want AI-assisted sales and voice engagement workflows supported by configurable human-in-the-loop automation. It blends automated outreach and qualification with options to escalate to human agents where needed, helpful for revenue teams that are focused on pipeline speed.
Core Capabilities:
- Automated Lead Engagement: AI enabled workflows proactively contact prospects and qualify them using data-driven sequencing.
- Voice & Messaging Channels: Supports outbound dialing, ringless voicemail, SMS and multi-touch sequences.
- Human-in-the-Loop Escalation: Configurable handoffs to live agents when conversations need human judgment.
- Sales Workflow Automation: Built-in logic for lead routing, prioritization and follow-ups across channels.
- CRM Integration + Data Sync: Sync outcomes and engagement data back to CRMs like Salesforce, HubSpot, etc.
Best fit if you:
- Want inbound and outbound automated voice interactions with natural conversation flows and multilingual capability.
- Need AI that handles lead qualification, follow-ups and reminders as part of sales or customer engagement sequences.
- Are automating sales outreach and conversational workflows alongside voice calls.
Not a fit if you:
- Need an AI platform focused on low-latency, bespoke voice agent infrastructure tied tightly to your own telephony stack.
- Are building a multi-channel bot with CRM/telephony hooks and developer control from the ground up at scale.
5. Telgent
Telgent leans into MLS and portal context. It is best for businesses that want always-on voice AI calling with automated scheduling, intelligent call handling and quick setup. Its platform emphasizes immediate activation, seamless integration with existing phone systems and natural AI responses that handle calls, schedule meetings and engage customers day and night.
Core Capabilities:
- 24/7 AI voice calling agents: Always-on call automation that answers and routes customer calls at any hour.
- Lead engagement & scheduling: Automatically books appointments, meetings and showings based on natural language conversations.
- Inbound call handling: AI answers incoming inquiries, qualifies intent and routes prospects with minimal human intervention.
- Automated inquiry responses: Provides instant answers to property questions and responds to rental or sales leads.
- Integration with real estate systems: Works with Zillow, Realtor.com, MLS platforms, Follow Up Boss, kvCORE, BoomTown, Salesforce and HubSpot for CRM continuity.
Best fit if you:
- Need round-the-clock call handling that captures leads and books appointments without missing inquiries.
- Want your voice AI to integrate with core real estate tools and CRM systems so client details are synced automatically.
- Are focused on lead conversion and showing scheduling as part of your customer engagement workflows.
Not a fit if you:
- Only require basic outbound calling with simple scripts rather than inbound + scheduling automation.
- Expect a no-config, plug-and-play voice bot that requires zero setup or customization.
- Want a platform that handles only one channel (voice only) without extending into SMS/WhatsApp/chat automation.
6. AIOnCalls
AIOnCalls is positioned as a virtual receptionist that never misses calls or opportunities. Best for teams that want an always-on voice AI assistant that handles inbound and outbound calls around the clock, engages callers in natural language, qualifies leads, books appointments and updates CRM data.
Core Capabilities:
- 24/7 Inbound & Outbound Voice Handling: AI answers and places calls around the clock across all hours and holidays.
- Lead Qualification & Follow-Up Automation: Qualifies callers in real time and automates follow-ups via voice, SMS and email.
- Appointment Scheduling & Calendar Invites: Books appointments and sends confirmations during calls.
- CRM & Workflow Integrations: Integrates with CRMs like Zoho, HubSpot, GoHighLevel, Google Calendar for real-time lead syncing and activity logging.
- Multilingual Conversations: Supports multiple languages and can handle simultaneous call sessions.
- Live Agent Escalation: Transfers complex calls to human agents when needed.
- Real-Time Analytics & Transcriptions: Provides live call monitoring, transcripts, sentiment analysis and dashboards.
Best fit if you:
- Need an AI voice agent that never misses inbound calls and engages leads immediately, 24/7.
- Want automated lead qualification, booking and follow-ups in voice, SMS, and email without human staffing.
- Are integrating call outcomes and engagement data into CRM or calendar workflows.
- Operate in industries where speed-to-lead matters and missed calls are costly.
Not a fit if you:
- Only need simple IVR or on-premise call routing without conversational automation.
- Prefer a pure telephony or developer API platform without built-in AI conversational layers.
- Are looking for a voice agent with deep, specialized industry templates.
7. Brilo AI
Brilo AI is a business-focused AI phone and voice call agent platform that enables teams to automate real-time voice interactions across industries like real estate. It promises fast setup, natural human-like voice responses, 24/7 coverage, integration with business tools and built-in analytics, all without needing a technical team to get started.
Core Capabilities:
- 24/7 AI voice call agents: Always-on AI phone agents handle inbound calls and customer engagements at any hour.
- Human-like voice interactions: Conversational voice responses built to sound natural and engaging.
- Appointment booking & scheduling: Voice agents can book appointments with synced calendars and handle reminders.
- CRM and business integrations: Integrates with a broad range of business apps (6,000+ app connections claimed) to sync customer context and outcomes.
- Real-time analytics & insights: Live call transcripts, sentiment analysis, intent tracking and topic detection support actionable insights post-call.
- Lead qualification automation: Agents engage prospects, capture intent and route high-value leads in real time.
Best fit if you:
- Need 24/7 automated voice engagement that never misses inbound or high-volume calls for lead capture, scheduling or support.
- Need a platform that books appointments, manages follow-ups and drives customer engagement without manual management.
- Plan to integrate the voice agent with CRM, calendar tools and analytics pipelines to maintain context across systems.
Not a fit if you:
- Simply need a basic phone tree, IVR or traditional call routing system.
- Are focused solely on developer-centric API telephony without AI built in.
- Require industry-specific compliance guarantees (HIPAA, PCI, etc.) documented publicly.
8. VocalDesk
VocalDesk is an AI-enabled voice and contact automation platform that helps teams automate calling, lead follow-up, support interactions and scheduling. Its focus is on automated voice conversations and multi-channel engagement with CRM integration and configurable workflows that replace manual outreach tasks.
Core Capabilities:
- Automated Voice Conversations: Handles inbound and outbound calls using AI to engage, qualify, and route callers.
- AI-Driven Lead Qualification: Automated conversation flows that marks lead intent and priority.
- Appointment Booking & Reminders: Schedules meetings and sends reminders as part of automated flows.
- Multichannel Messaging: Engages customers across voice, text and messaging platforms.
- CRM & Workflow Sync: Connects with CRM systems and business tools to log interactions and maintain records.
Best fit if you:
- Want to automate call handling and lead follow-up without manual dialing.
- Need a solution that combines voice and messaging outreach with CRM context.
- Are focused on lead qualification and scheduling as part of broader sales engagement.
Not a fit if you:
- Only need basic call routing or IVR without AI handling.
- Require explicit developer control over telephony APIs.
- Rely on hard metrics like latency, concurrency limits or multi-region telephony SLAs.
9. Calldock
Calldock is an AI voice agent platform intended for instant lead engagement, automatic qualification and scheduling. Its system calls leads within seconds of form submission, conducts natural conversations and integrates with calendars and workflows to automate follow-ups and booking.
Core Capabilities:
- Instant lead callbacks: Calls website leads within ~60 seconds of a submission, boosting early engagement.
- Calendar booking: Agents can book appointments directly to your calendar during live calls.
- Multi-channel follow-up: Agents send SMS and email follow-ups as part of the call workflow.
- Seamless handoff & callbacks: You can trigger human handoffs in natural language and schedule intelligent callbacks.
- API, webhooks, & integration ecosystem: Support for APIs and pre-call webhooks lets you fetch context before calls and connect with Gmail, Google Calendar, Slack, Zapier and thousands more.
- Developer playground & documentation: Provides API documentation and code examples for triggered calls and automated workflows.
Best fit if you:
- Want immediate lead engagement that happens in seconds.
- Need voice agents that qualify, book and follow up automatically across voice, SMS and email.
- Plan to integrate voice engagements with calendar and business workflows.
- Need a voice agent that works with easy templates for common industries with minimal setup.
- Want a low-code or no-code setup that goes live with simple configuration.
Not a fit if you:
- Need proper inbound/outbound calling with API integration.
- Require deep telephony infrastructure control or enterprise telephony SLAs.
- Are building highly custom dialogue systems that need proprietary LLM tuning beyond the existing templates.
10. Ylopo
Ylopo is a digital marketing and lead gen platform built for the real estate industry. It combines lead capture, nurturing, AI voice calling, AI texting, branded websites and marketing automation into one system that integrates with CRMs and helps real estate teams generate and convert leads.
Core Capabilities:
- AI Voice Follow-Up: Automatically calls new and existing leads to qualify interest and connect them to agents.
- AI Text Conversations: Runs two-way SMS conversations to nurture leads until they're ready to talk.
- AI² Voice + Text System: Combines calling and texting into one coordinated follow-up engine.
- Automated Appointment Transfers: Delivers live transfers or booked appointments when leads are qualified.
- Lead Generation & Nurture: Includes PPC ads, remarketing and IDX websites to capture and feed leads into AI follow-up.
- CRM & Website Integration: Syncs AI conversations and lead activity with CRMs and branded real estate websites.
Best fit if you:
- Want lead capture with nurturing as a unified system rather than isolated voice interaction tools.
- Are a realtor or team that wants AI to automatically engage leads by text and phone, not just manage manual contacts.
- Need branded websites with IDX search and integrated lead capture feeding into automated follow-up.
- Plan to keep leads engaged over longer time horizons (e.g., 90-day voice follow-up).
- Value combined marketing + AI follow-up rather than a single channel (voice only).
Not a fit if you:
- Are looking for pure AI voice agent infrastructure like a telephony-first CPaaS platform.
- Need tools focused on enterprise-grade telephony performance, low-latency voice systems or custom telephony workflows.
What Matters Most in AI Voice Agents (Beyond the Basics)
1. Telephony Ownership vs. Vendor Stitching
Many AI voice tools rely on third-party telephony stitched together with AI layers. This often introduces latency, call drops and limited routing control at scale.
What to prioritize:
- Built-in telephony with direct carrier connectivity
- End-to-end control over call routing and quality
- Fewer external dependencies
Plivo runs on its own global CPaaS and carrier-grade telephony stack, removing third-party voice dependencies.
2. Real-Time Performance (Latency & Uptime)
Voice conversations break down quickly when responses lag or calls fail. Sub-second latency and high uptime aren't "nice to have"—they're mandatory.
What to validate:
- Sub-500ms voice response latency
- 99.99% uptime or better
- Real-time STT, TTS, and LLM orchestration
Plivo's vertically integrated Voice AI stack is designed for low-latency, real-time conversations on proven infrastructure.
3. Multi-Channel Context, Not Disconnected Bots
Leads move between calls, SMS, WhatsApp and chat. Treating each channel as a separate bot creates broken experiences and duplicate work.
What to look for:
- Shared context across voice and messaging
- Unified conversation history
- Seamless handoffs between channels
Plivo supports multi-channel agents that share context across phone, SMS, WhatsApp and chat from a single system.
4. Integration Depth (CRM, Calendars, Workflows)
Voice agents don't operate in isolation. Without deep integrations, they become another silo your team has to manage.
Prioritize platforms that:
- Read from and write to CRMs in real time
- Trigger workflows during live calls
- Integrate cleanly with calendars and support tools
Plivo integrates directly with CRMs and business systems, allowing agents to act on live data and update records automatically.
5. Built for Scale, Not Just Launch
Many tools work well for pilots but struggle under sustained call volume or multi-region deployment.
Ask:
- Can this run continuously without degradation?
- Are pricing and performance predictable as usage grows?
- Will this still work when channels or regions expand?
Plivo's AI agents are built on infrastructure that already powers enterprise-grade voice and messaging at global scale.
FAQs
What's the fastest way to go live without breaking existing operations?
Start with a single, contained flow like after-hours inbound calls or instant lead callbacks. Connect your phone numbers, CRM and calendar, define escalation rules and launch! You can expand coverage once live data validates the flow.
How do I ensure voice quality doesn't feel robotic or laggy?
Voice quality depends on latency and telephony control. Platforms with integrated telephony and real-time STT/TTS orchestration keep responses sub-second, which is critical for natural conversations that callers don't hang up on.
How does the agent stay accurate and compliant with real estate data?
The agent should pull from a restricted, curated knowledge source (MLS, IDX, listings) and operate within defined guardrails. When questions exceed scope like pricing nuance, legal terms, fair-housing-sensitive topics, it escalates to a human automatically.
What happens when call volume spikes or multiple leads call at once?
Calls don't fail—they should queue. High-intent conversations can be routed to live agents, while others are qualified, scheduled or followed up asynchronously. Every outcome is logged so nothing gets lost.
How does this fit into my CRM and follow-up workflows?
The agent reads live CRM data during calls and writes outcomes back automatically in the form of notes, disposition, next steps and booked appointments. Your team picks up conversations with full context instead of starting from scratch.
Try Plivo Free
Curious how an AI voice platform performs in your workflows, not just in theory? Plivo offers a free trial account with credits so you can experiment with voice, SMS, WhatsApp and chat services before committing. When you sign up, you get trial credits, can add a phone number and start testing features like real-time voice interactions and multi-channel engagement using APIs or visual tools like PHLO. This lets you validate performance, integrations, and call flows with your actual data—all without upfront cost.
Plivo's trial lets you test core capabilities immediately, making it easy to see how quickly you can build, launch, and refine agents that handle calls, qualify leads and update systems in real time.
Get started with your free trial now and begin building your first agent today.

Best AI Voice Agents for Customer Support and Service (2026): What to Deploy Now
Compare 10 AI voice agent platforms for customer support. Get a practical 30-day pilot framework, implementation workflow, and outcome-driven selection guide.
1) Plivo — The fastest path to production-grade AI voice agents for customer support
A recent Gartner survey found that most customer service leaders plan to explore or pilot conversational GenAI in 2025—making a clear, near-term mandate to deliver something that works on the phone channel, not just in chat. That's your cue to build a reliable voice front door with an AI agent builder platform designed for voice-first, omnichannel experiences.
Why Plivo is #1
Plivo is the AI agent builder platform that lets you build your way. Whether you're a business leader who needs to launch fast or an engineering team building custom workflows, Plivo meets you where you are. Start with no-code tools that let non-technical teams deploy agents in hours. Go deeper with low-code orchestration for more control. Or build from scratch with full-code frameworks that integrate into your existing stack. You're never forced into a single way of working.
What it does for you
Plivo's Voice AI stack is modular by design. Want speed? Use the fully integrated platform—STT, LLM, TTS, and telephony—pre-configured and ready to go. Want control? Orchestrate your agents using code with Plivo's Agentic STT models and Telephony, alongside your preferred LLM providers. Want just the connectivity layer? Use audio streaming or SIP trunking and bring everything else yourself. You decide where Plivo ends and your stack begins.
Underlying it all is a reliable, carrier-grade telephony platform that scales for enterprises—global PSTN/SIP connectivity, number provisioning and porting, call routing with failover, recording with consent, and clean human handoff with full context into your CRM or help desk.
Segment-by-segment fit
If you're SMB, launch fast with no-code tools that let you deploy agents in hours, plus a simple dashboard and connectors for Shopify and Calendly. If you're mid-market, use low-code orchestration for more control, with a modular stack that lets you use what you need—swap in your preferred LLM, STT, or TTS. If you're enterprise, build with full-code frameworks that integrate into your existing stack, plus a modular Voice AI stack to pick-and-choose what you need, governance features (RBAC, audit transcripts, data residency), and contact center integration for high availability and reporting.
Start with Voice, go everywhere
Voice is the hardest channel to get right—and it's where Plivo leads. But the same flexible building experience extends to WhatsApp, SMS, RCS, and Chat. Build once, deploy across channels, and meet customers wherever they are.
Suitable for
- Fintech customer service: consent-first flows, secure keypad capture, dispute status, and callbacks.
- Healthcare scheduling: multilingual intake, appointment changes, escalations with a summarized handoff.
- Retail and logistics: order status, returns, delivery windows, and SMS/WhatsApp follow-ups.
No more choosing between a locked-in platform that's easy but limiting, or a DIY approach that's flexible but painful. Plivo gives you both—simplicity when you want it, depth when you need it.
Explore the Voice API, check pricing, review compliance, handle numbers & porting, browse case studies, or jump into the quickstart.
2) Google Dialogflow CX — Complex, branching flows without spaghetti
Key features
Dialogflow CX uses a flow-and-page model to capture state and branching, so you can manage multi-step intents like returns, warranty claims, and multi-factor verification without dozens of brittle intents. It supports voice and text and includes versioning, experiments, and test tools. For telephony, you can use partner gateways or SIP; for global reach, put Plivo at the edge and connect to CX.
Why it matters
Complicated support journeys need explicit state. CX gives you that structure. If your "Where's my order?" workflow forks based on identity checks, fulfillment method, and policy windows, you can keep logic readable and testable. CX also plays well with multilingual experiences and mixed initiative, so callers can change course mid-conversation.
Implementation steps
Start with a single high-volume journey and draw it as a CX flow. Add a fallback page with a short menu for noisy lines. Ground the bot in your knowledge base and order system, then add handoff rules. Put Plivo in front for numbers, routing, and recording consent, and pass summaries back to your ticketing system.
Suitable for
Teams with multiple brands or product lines, where branching grows quickly and consistency matters across regions.
3) Amazon Lex + Amazon Connect — AWS-first voice automation that ops can own
Key features
Lex handles the speech and NLU for voice and text. Connect adds the contact-center fabric: routing, IVR, call recording, and agent desktop. It's a natural fit if your data and apps live in AWS and security prefers IAM-managed access. For global numbers or bring-your-own carrier control, front with Plivo and route into Connect.
Why it matters
Staying inside AWS accelerates procurement, security reviews, and monitoring. You can call Lambdas for tool use, search knowledge with Kendra, and use Connect metrics and contact flows your ops team already knows. That shortens time to value and concentrates governance in one place.
Implementation steps
Define one call flow in Connect (ID&V → status lookup → handoff). Build Lex intents from your top FAQs. Add Plivo for number management, routing, and failover. Send summaries back to your CRM or help desk. Keep a barge-in plan for noisy environments and a keypad fallback for payment flows.
Suitable for
IT-led programs where AWS standardization, auditability, and a single pane of glass for monitoring are priorities.
4) IBM Watson Assistant — Governance-first deployments in regulated industries
Key features
Watson Assistant supports omnichannel conversations with documented security and governance options, including deployment paths designed for regulated workloads. If your risk office leads the decision, IBM provides clear guidance on audit logging, data handling, and architectural choices. Add Plivo to handle PSTN/SIP, call consent prompts, and compliant recording policies.
Why it matters
Financial services and healthcare teams often need auditability from day one. When you need clear data-handling boundaries and deployment models that align with internal controls, IBM's documentation and support track help you pass reviews without months of back-and-forth.
Implementation steps
Map your data-classification rules to Watson's deployment options. Keep contact recordings and transcriptions in your approved storage. Use Plivo's routing and consent prompts to standardize intake across regions. Summarize calls into your case system for full traceability.
Suitable for
Organizations with heavy compliance needs, strict data residency, or formal audit trails for every customer interaction.
5) Cognigy.AI — IVR modernization with fine-grained voice control
Key features
Cognigy combines a visual designer with a voice gateway that supports streaming ASR, interruptibility, and transfer control. It integrates with multiple speech providers and enterprise systems like SAP and Salesforce. This lets you tune barge-in sensitivity, error handling, and handoff cues rather than living with a one-size-fits-all IVR.
Why it matters
If callers still hear a menu tree, you're wasting time and goodwill. Cognigy helps you replace rigid menus with natural conversations and graceful escalation. You keep the levers you need—timing, sensitivity, fallback prompts—so the agent feels human, not scripted.
Implementation steps
Start with the two intents that create the most queue time. Set barge-in thresholds conservatively and widen them after you test in live traffic. Put Plivo at the edge to manage numbers, recording policies, and failover. Send summaries with disposition tags to your CRM.
Suitable for
Enterprises with legacy IVRs, high call volumes, and a clear need to reduce effort without ripping out the contact-center core.
6) Salesforce Agentforce — CRM-native service automation where your team works
Key features
Agentforce brings AI agents into the Salesforce console and data model. Your service team stays in the view they know, while the agent handles common intents, drafts summaries, and routes cases. Add Plivo for calling so every phone interaction lands in Salesforce with the right context.
Why it matters
When everything you need to resolve an issue already lives in Salesforce, keeping the agent there shortens integration time and improves analytics. Supervisors can coach on the same dashboard and review case summaries, while admins maintain clear governance over data and automations.
Implementation steps
Pick one queue with repetitive calls. Tie identity checks to account data and warranties. Keep a "press 0 for a human" fallback and make sure the agent passes a clean summary with next steps. Use Plivo for the phone edge so call recordings and consent are consistent across regions.
Suitable for
Service teams that treat Salesforce as the system of record and want automation to feel native—not bolted on.
7) Zoom Virtual Agent for Phone — A 24/7 receptionist and concierge
Key features
Zoom's Virtual Agent for Phone handles greetings, routing, and the most common requests. You train it from existing docs and site content, then turn it on for after-hours or full-time reception. It's built for quick wins like appointment scheduling, store hours, and simple status checks with transfers when needed.
Why it matters
If reception lines clog your switchboard, a front-door voice agent can deflect simple questions without new headcount. As you add skills, you can expand from triage to completing tasks. For broader reach, connect Plivo to add global numbers and transactional notifications via SMS or WhatsApp.
Implementation steps
Start with greeting, business hours, and routing. Add appointment booking next. Keep live-agent transfers one click away. If you outgrow the PBX perimeter, bring Plivo in to manage numbers and cross-channel follow-ups.
Suitable for
Single-number switchboards, high-volume reception desks, and teams that need a quick, always-on front door.
8) Sierra — Enterprise "autonomous" agents with category momentum
Key features
Sierra focuses on enterprise-grade AI agents for customer service with an emphasis on agentic workflows. The leadership and market traction give executives confidence to back bigger bets. If you're evaluating multi-channel automation with rigorous SLAs, Sierra is a credible short-list option. Plug it into Plivo for reliable telephony, recording consent, and global routing.
Why it matters
Momentum reduces perceived risk. When you need cross-functional buy-in, a vendor that's already in enterprise production helps. You still need the phone edge right: numbers, routing, and failover that won't buckle under peaks.
Implementation steps
Define two end-to-end journeys (e.g., ID&V + order update; returns approval). Keep human handoff one step away and capture every call summary in your case system. Instrument containment and transfers, then iterate weekly.
Suitable for
Large teams planning multi-channel agents and looking for vendor accountability with clear deliverables and timelines.
9) Tidio (Lyro) — SMB eCommerce chat that pairs well with voice
Key features
Tidio blends live chat, an AI agent, and eCommerce integrations. It's a practical way to resolve repetitive questions, free up your team, and capture intent while buyers are on your site. Add Plivo for a simple order-status line and SMS/WhatsApp updates so customers get answers by phone as well as chat.
Why it matters
eCommerce teams need fast coverage more than complex architectures. You can start with FAQs, then add checkout and account questions. When phone calls spike—promos, holidays—route a basic voice flow through Plivo and keep your agent consistent across channels.
Implementation steps
Load your top FAQs and shipping policies, add a returns flow, and set clear handoff rules. For voice, route a single Plivo number to a lightweight agent that authenticates by order ID and ZIP code, then offers a callback option during peaks.
Suitable for
Lean teams that want to reduce repetitive chat volume now and add phone coverage without standing up a full contact center.
10) Robylon — Multi-channel AI agents focused on support teams
Key features
Robylon specializes in AI-driven customer support across voice, chat, email, and messaging. It integrates with help desks like Zendesk and Freshdesk, supports multiple languages, and offers analytics dashboards designed for service leaders. It's a pragmatic fit if your help desk is the hub of your operation.
Why it matters
You want human-like conversations that escalate cleanly. Robylon's positioning around support workflows means your ticketing, SLAs, and dispositions stay intact. For reliable calling, use Plivo for numbers, routing, and recording consent so your phone channel matches the quality of your chat channel.
Implementation steps
Start with account updates and appointment scheduling. Ground the agent in your help-desk knowledge base and macros. Track resolution time and transfer reasons; refine weekly.
Suitable for
Mid-market support teams who want a focused system that plugs into existing help-desk processes and expands to voice without heavy lifting.
How to run a safe, high-signal pilot in 30 days
Define success first
Pick three metrics: containment, transfer rate, and average resolution time. Write a one-line target for each and a go/no-go threshold. Everyone should know what "good" looks like before you take your first call.
Start with narrow, high-volume intents
"Where's my order?", appointment changes, returns, account updates. These are predictable, frequent, and measurable. Script your handoff sentence so agents never start from zero.
Build the right guardrails
Add a consent prompt, a keypad fallback for sensitive inputs, and a short backup menu for noisy environments. Keep the escalations simple: one route for billing, one for everything else.
Ground every answer
Connect the agent to your CRM/help desk and knowledge base. If the answer doesn't exist in your source of truth, escalate. Summarize every call into the ticket with disposition and next steps.
Iterate weekly
Review 20 call transcripts together. Fix the top three friction points. Update prompts and knowledge. Ship changes. Repeat.
FAQ
What's the fastest way to launch a voice agent without changing my stack?
Keep your telephony and routing on Plivo, connect your preferred conversation engine, and ground it in your CRM/help desk and knowledge base. Start with one number, one intent, and a simple fallback.
How should I measure success in the first 30 days?
Track containment, transfer rate, and resolution time. Listen for barge-in moments and interruptions—they reveal prompt and timing issues that you can fix quickly.
How do I implement consent, recording, and PCI/PHI safely?
Play a clear consent prompt before any recording. Use keypad input for payments or sensitive data. Store recordings and transcripts in approved systems and keep audit logs.
When is Dialogflow CX better than Lex, IBM, or Cognigy?
Choose CX for complex branching flows and multilingual journeys; Lex when your team standardizes on AWS; IBM when governance and deployment control are paramount; Cognigy when you're modernizing IVR with fine-grained voice settings.
How do I handle accents, noise, and barge-in in production?
Use a robust ASR, tune your barge-in sensitivity, and keep a keypad fallback. Test in noisy environments and shorten prompts. Summaries help human agents pick up without asking callers to repeat themselves.
Conclusion: Build the voice edge once, then scale what works
A measured result to anchor ROI. McKinsey reported that, at one company with thousands of agents, applying generative AI raised issue resolution and lowered handling time—small percentage gains that compound into real savings at scale. That's the kind of lift your leadership expects—and the reason to start with a focused pilot that moves one metric.
Bring your "brain" of choice, but keep the phone edge on Plivo so every call connects, every consent is captured, and every handoff carries context. Define three KPIs, pick one journey, and go live with a human fallback. Review transcripts weekly, then scale to the next two intents.
Ready to hear what real-time voice feels like? Build your agent or talk to an expert today.
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RCS Marketing 101: Your Complete Guide
Discover how RCS marketing delivers rich, branded messages that drive engagement for your business.
SMS marketing works, but let’s be honest: it feels a bit outdated compared to modern apps.
But what if you could send rich, interactive messages with branded content, images, buttons, and carousels straight to your customers’ native messaging apps?
Rich communication services (RCS) makes that possible.
If you’re ready to explore how RCS marketing can transform your engagement strategy, this guide will walk you through everything you need to know. Let’s get started.
What is RCS marketing?
RCS marketing uses rich communication services to send interactive, branded messages through a customer’s default messaging app. It’s a modern upgrade to SMS that lets businesses share images, buttons, carousels, and more — all without needing third-party apps.
A user on Reddit summed up this perfectly:

RCS lets you send messages that are visually branded with logos and colors while remaining interactive. This turns static updates into an app-like experience inside a message.
This shift is part of a broader industry move, led by Google and backed by major mobile carriers, to upgrade messaging infrastructure and make RCS the default standard on Android devices.
As support continues to grow, businesses are adopting RCS as part of their customer engagement strategy. Platforms like Plivo make that adoption easier with a reliable, enterprise-grade gateway to deliver rich, reliable RCS campaigns at scale.
RCS vs. SMS marketing: A quick comparison
Marketers today are looking for ways to deliver more interactive and visual communication, and RCS is clearly leading the way.
While SMS still works well for simple alerts, it lacks the creativity and engagement that RCS marketing offers.
Let’s take a quick look at RCS vs. SMS marketing.
4 key benefits of RCS marketing
RCS marketing makes messaging feel more natural for both you and your customers. And since you can see what’s working and what’s not, it’s easier to pivot your strategy and get better results.
Here are its four key benefits.
1. Improved user interaction
One of the biggest advantages of RCS marketing is how seamless it makes the experience for your customers. Instead of typing out replies or clicking a link to open a website, users can just tap a button right inside the message.
Want them to book a demo, check order status, or browse products? It’s all possible with just a tap.
Fewer steps mean less effort, and that leads to more people following through. In fact, individuals spend up to 37 seconds engaging with RCS messages, which is a lot longer than most other types of mobile messaging.

That extra time and interaction can make all the difference when you’re trying to convert interest into action.
2. Consistent brand experience
RCS marketing doesn’t just tell people who you are — it shows them.
Verified business profiles help people know they’re getting messages from the real brand. Every message shows your brand’s logo, name, colors, and a checkmark. These small details make it clear that the message is coming from a genuine source.

This consistency matters because 88% of people are more likely to buy from a brand they trust.
3. In-depth analytics
With RCS marketing, you can track open rates, button clicks, and how people interact with each part of your message.
You get clear visibility into what’s working and where users are dropping off.
This makes it much easier to measure the return on investment (ROI) and fine-tune your campaigns. The more you understand how people engage, the better you can shape your messaging for results.
4. Higher conversion potential
RCS marketing makes it easier for customers to take action — whether that’s browsing products, booking a service, or making a purchase — all within the message itself.
With fewer clicks and no need to switch apps, the path to conversion feels effortless. And when it’s that easy, more people follow through.
For example, EaseMyTrip used RCS to run a post-COVID travel survey. They added quick-tap answer options and followed up with a thank-you coupon. The campaign saw a 4x higher click-through rate than email, 10x more survey completions, and a 2.7% increase in conversion rate.
5 major use cases of RCS marketing
Here are five major use cases showing how brands are using RCS marketing effectively.
1. Product promotions
RCS makes product promotions feel more like browsing a store than reading a message. Brands can send image carousels that customers can swipe through to explore new arrivals, check product details, and see what’s available without leaving their messaging app.

2. Abandoned cart reminders
The average cart abandonment rate is over 70%, which means most shoppers never make it to the finish line. RCS marketing can help bring them back by making the reminder more engaging and easier to act on.
You can send a message that shows exactly what they left behind, along with a clear button to complete the purchase. It’s visual, straightforward, and the entire experience stays within their messaging app.
3. Appointment confirmations and reminders
A PhD thesis from Manchester Metropolitan University found that forgetfulness is the most common reason people skip their appointments.
RCS makes it easier for both businesses and customers to stay on the same page. You can send a message that shows the appointment details along with a simple calendar view. Add buttons to confirm, reschedule, or cancel — all within the chat.

4. Customer surveys and feedback
Getting feedback is important, but most customers lack the time or patience to complete lengthy forms. RCS marketing makes it easier by allowing brands to ask short, targeted questions and receive quick responses.
Plus, the rich features of RCS let you include images, ratings, or multiple-choice options, making feedback feel more like a conversation.
5. Customer support follow-ups
After a support request is resolved, following up shows customers you care and helps close the loop on their experience. But if the follow-up message gets buried in an email inbox or goes unnoticed, that opportunity to connect is lost.
With RCS marketing, you can send a quick message to check if everything’s working fine. You can include helpful buttons like “Change Password,” “Manage Account,” or “Talk to Support.”

RCS marketing myths and realities
Despite RCS marketing’s growing adoption and proven results, some common misconceptions still hold businesses back from trying it. Let’s look at a few of the biggest myths and what’s actually true.
Myth 1: RCS marketing is too expensive
At first glance, RCS business messaging can seem like a pricey upgrade. Rich visuals, tap-to-action buttons, and branded layouts look premium, so it’s easy to assume they come with a hefty cost.
But cost alone doesn’t tell the full story.
What you get in return matters more. RCS drives significantly stronger engagement with higher click-through rates, increased interactions, and better overall outcomes.
Take Club Comex, the loyalty program of North American paint brand Comex. They sent two rich and interactive RCS campaigns to their members and saw a 10x higher click-through rate, which helped increase revenue by 115%.
That’s the value side of the equation. Better targeting and richer content mean more people click, engage, and convert.
Myth 2: RCS marketing doesn’t reach enough users to be worth it
This concern made sense in the early days of RCS, when adoption was still catching up. But the landscape looks very different now.
In June 2024, the 12-month growth of RCS users reached 36.3%, showing faster uptake than other messaging channels. More Android devices support RCS by default, and it’s being rolled out across more networks globally. Even Apple has announced support, which means RCS is on track to reach a massive number of smartphone users worldwide.
With that kind of growth and widespread support, the hesitation around RCS is starting to fade. Brands can confidently invest in RCS marketing knowing it will connect with more customers than ever before.
Myth 3: RCS gets treated like spam and ends up ignored just like emails
Unlike email, RCS messages appear directly in the user’s primary messaging app alongside personal conversations. They include rich media and interactive elements, making them more engaging and less likely to be ignored.
This creates a more natural, conversational experience that drives higher open and response rates than traditional marketing channels.
Why choose Plivo for your RCS marketing needs
With RCS, you can turn simple messages into rich, branded conversations that feel more like chatting than broadcasting.
Plivo gives you the tools to make that shift without the hassle. From verified messaging to smart automation, everything works together to help you connect better and respond faster.
When combined with AI Agents and a unified customer data platform, RCS becomes more than just messaging. You can deliver personalized experiences at scale, automate everyday interactions, and keep conversations flowing without lifting a finger.
Here’s what you get with Plivo’s RCS API:
- Real-time personalization: AI Agents tailor conversations using customer profiles and behavior triggers to improve engagement and conversions.
- Multi-channel fallback: If RCS isn’t supported, messages automatically switch to SMS to ensure delivery and maintain consistent communication.
- Conversational automation: AI Agents handle FAQs, process orders, schedule deliveries, and route complex queries within RCS.
- All-in-one messaging platform: Manage RCS, SMS, WhatsApp, Voice, and more from a single dashboard.
- Reliable performance: 99.99% uptime and global infrastructure keep your campaigns running smoothly.
With Plivo’s no-code tools, you can quickly launch AI-powered RCS messaging across channels and deliver a consistent customer experience from day one.
See how you can launch your first RCS marketing campaign with Plivo by requesting a demo today!
Protect Your Customers, Empower Your Business: A Guide to Number Masking with Plivo
Discover how Plivo's Number Masking API shields customer data and enhances business communications. Learn how to easily implement number masking to protect privacy and build trust.
Privacy breaches are obviously bad for business, but the hidden cost of a breach may be more than you realize. When a delivery or rideshare driver misuses a customer’s personal information, it’s not only dangerous but damaging to your brand’s reputation. Such incidents can expose the business to legal and regulatory challenges, as well as increase customer churn and result in a revenue loss.
Number masking is the simplest way to mitigate the risk of a privacy breach and build your end users' trust. Plivo's Number Masking feature enables businesses to mask their customers' and partners' real phone numbers, thereby shielding their actual contact details. Continue reading to discover how number masking works and how to get started.
How does number masking work?
Number masking enables anonymous interactions to safeguard user data during everyday transactions—be it food delivery, hailing a ride, or accepting a package.
Let's consider a real-world application of number masking through the experience of Rahul, who orders groceries online. Concerned about privacy, Rahul wishes to avoid sharing his personal phone number directly with the delivery service.
- Upon placing the order through a grocery delivery app, the app employs Plivo's Number Masking feature to assign a temporary phone number specifically for communication related to this order.
- Rahul, wishing to share some additional delivery instructions with the delivery agent, calls the temporary number provided by the app.
- Plivo's system seamlessly routes the call from Rahul to the delivery agent, utilizing the temporary number. Throughout this process, the actual phone numbers of both Rahul and the delivery agent remain hidden from each other.
- If the delivery agent needs to clarify the delivery instructions or communicate any updates related to the order, he can also use the temporary number to reach Rahul.
Here’s what this process looks like in practice.

Ultimately, Plivo’s Number Masking feature acts as a bridge between customers and businesses, allowing them to communicate effectively without compromising personal phone numbers.
Benefits of Plivo’s Number Masking API
Unfortunately, many number masking solutions on the market require businesses to develop their solution from the ground up, a process that can be both time-consuming and labor-intensive. For many companies, the complexity of implementing number masking presents too high a barrier.
Plivo's off-the-shelf Number Masking API is designed to eliminate this complexity, making implementation straightforward in mere two simple steps.

Get started with Plivo's Number Masking API
With Plivo, your business can bypass nearly 80% of the time and effort required to develop a number-masking solution from scratch. Just a few steps are all it takes to get up and running:
- Register with Plivo.
- Purchase preferred numbers to serve as virtual numbers through the Plivo console, or procure a phone number using the API.
- Create a number masking session using the API by providing the first_party and second_party numbers, along with other required parameters tailored to your specific use case.
- Plivo will automatically handle the assignment of the virtual number to the session.
Congratulations! You've now successfully set up a number masking session. Test the session by initiating a call to the virtual number, which will be correctly routed to the intended recipient.
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What else is possible with Plivo’s Number Masking API?
Beyond providing number masking at an affordable cost, Plivo's API enhances security through PIN-based authentication, ensuring that calls from unregistered sources undergo verification before connection. Plivo's intelligent algorithm also manages the allocation of virtual numbers efficiently, ensuring their optimal use.
Call recordings is another feature available through Plivo’s Number Masking API. While keeping all user information private, Plivo can record calls for quality assurance. Recordings are stored on Plivo servers free of charge for 90 days. Encryption is available for even more security.
Number masking is a transformative tool for businesses aiming to prioritize customer privacy and foster trust in their brand. With Plivo's comprehensive Number Masking API, deploying this security measure is more accessible than ever. For more details refer to our developer documentation.

What Are Customer Service Workflows And How to Build The Best One?
Want to build customer support workflows that drive higher levels of customer satisfaction? Read on to learn more.
Gone are the days when price was the only differentiating factor when customers weighed different solutions. Customer experience (CX) is the new revenue driver, and repeated positive experiences will lead a customer to make repeat purchases or advocate for your business.
The customer experience management market is expected to grow from $19.34 billion in 2024 to $70.20 billion by 2032, at a CAGR of 17.5%, according to Fortune Business Insights. This highlights the growing importance of CX in business strategies. Besides that,
- Gartner reports that 89% of businesses recognize CX as a key competitive battleground
- Statista reveals that 44.5% of organizations globally see CX as their main way to stand out
- Also, customers spend 140% more after great experiences compared to negative ones
However, to ensure an excellent and seamless service process, you must build robust and productive customer service workflows to ensure your agents and CX teams are always equipped to win and retain customers. In this article, we discuss how you can proceed.
What Are Customer Service Workflows?
Customer service workflows refer to processes that help you achieve your customer support goals through a sequence of steps. They act as a pre-defined blueprint of steps that easily integrate into and support your customer service operations.
The process eliminates the need to create new action steps for every customer interaction, enabling agents to be more productive and deliver faster and more effective query resolution.
Consider the scenario of creating a standardized, high-quality onboarding experience for every customer. Now, instead of mapping out a new onboarding plan each time, you’d want to follow a consistent approach that is rooted in proven techniques, like this one:
- Customer signs up for your product
- The customer receives an automated welcome email/message
- Guided product tour with the onboarding team
- Schedule routine check-ins
- Celebrate customer-centric milestones
Importance of Building Customer Service Workflows
Improves efficiency
Automated workflows promote efficiency in customer service operations by streamlining processes, saving agents valuable time and energy otherwise spent on repetitive manual tasks.
According to Salesforce, workflow automation is a top priority for 95% of IT and engineering leaders. This is further iterated by the fact that 74% of IT leaders have saved 4 hours each week by implementing workflow automation.
Builds accountability
You can design the workflows to assign specific queries to specific agents automatically. This defines responsibility and ensures that every query gets an adequate resolution without requiring multiple follow-ups.
A unified system with tighter integrations
These workflows also streamline customer support operations by consolidating all your tools and solutions into a single unified platform. Seamless integrations across your tech stack allow agents to manage all customer interactions in one place.
Agents can perform multiple tasks, such as making and receiving calls while accessing a complete history of the customer’s interactions with the support team—resulting in faster query resolution.
Proactive response
Customers always appreciate prompt and hassle-free solutions to their queries. A customer service workflow helps eliminate operational bottlenecks hindering smoother service delivery.
Agents don’t need to spend hours trying to figure out what works best—they have ready-to-use, plug-and-play workflows that help them focus on delivering a high-quality response.
Performance overview for agents and teams
Dynamic reporting and analytics integrated into the workflows offer a comprehensive view of agent and team performance. This allows for assessing productivity levels, identifying areas where service quality can be enhanced, and implementing strategies for continuous improvement in customer service operations.
Types of Customer Service Workflows
Here are some of the most commonly used customer service workflow examples that might be helpful for your business:
Issue resolution workflows
These are crucial for retaining customers and improving customer service operations.
Here’s what a customer service workflow diagram for issue resolution looks like:
- Issue resolution workflow starts with ticket generation when the customer raises a query
- Sorting and delegating issues to relevant agents/teams
- Solving issues and/or escalating to senior teams or other technical teams/experts
- Deliver the solution or lay out the next steps for customers to follow
- Schedule follow-up or communicate a timeline for follow-up for less critical issues
- Close the ticket on conclusion of the issue
- Send feedback forms to customers to evaluate the quality of support
Chatbot workflows
Chatbots are the ideal channel for round-the-clock support as they facilitate customer self-service experiences.
Here’s what a customer support workflow diagram for chatbot operations looks like:
- The customer types something or opens the chat window
- The chatbot greets the customer and sends a menu with predetermined options/questions
- The customer picks an option from the menu to raise a query
- The chatbot accesses the knowledge base to respond to customer queries
- The customer makes a choice that triggers actions to resolve the issue
- Feedback is gathered from the customer
Customer order workflows
Customer order workflows are integral to the customer experience, particularly for e-commerce businesses. This workflow is automated from the purchase of the product to the final delivery/receipt of the product to the customer.
This is what a customer service workflow diagram for customer order processes would look like:
- The customer places an order
- Order is initiated within the order management system
- Order confirmation is sent via email/SMS
- The warehouse team is notified about the order
- The tracking number is initiated to be shared with the customer
- Product is delivered
- Product feedback workflow is initiated
Product feedback workflows
It is essential to have a customer service workflow dedicated to product development and improvement. How is your product faring? Which features are in demand? Which features need an upgrade? Did the customer face any problems in using your product?
Here’s a customer service workflow diagram illustrating how product feedback workflows are recorded:
- A product feedback form is sent to the customer, acknowledging their effort
- Feedback is routed to relevant channels or segments
- Necessary modifications are implemented into the product
- Final communication is sent to the customer about implementing the product feedback
How to Build a Customer Service Workflow: A Step-By-Step Guide
Here’s a step-wise strategy to create a customer service workflow for your customer-facing operations:
Step 1: Create a simple diagram of your workflow
Unlike the linear diagrams given above for common customer support workflow diagrams, most workflows are much more complex. Each step has multiple ‘if this, then that’ scenarios that need to be accounted for, and it involves the following steps:
Review the current processes
Get started by taking stock of your current workflows. Define each step and the conditions that should be met for the process to be complete. Spotting loopholes in your workflows early on helps retain customers and generate higher CSAT scores.
Alternatively, poorly designed customer service processes are a recipe for disaster. They can result in long wait times, inadequate resolution, and even agent burnout—each of which points to customer churn.
What are the decision points?
Decision points refer to the locations within a workflow where a process branches out. We have already mapped out a few customer support workflows relevant to different scenarios. However, in practice, these workflows are more nuanced and dynamic, which is where decision points come in.
Decision points are where the workflow branches out into if/then scenarios. Here, a ‘then’ action is automatically initiated depending on the 'if' condition.
What are your constraints?
Constraints within the customer service workflow processes refer to regulatory requirements and financial compliance based on service level agreements and time frames.
Step 2: Determine who interacts with your workflow
Multiple stakeholders are involved in completing every workflow. You must clearly define who will interact with queries at each step of the workflow. This typically involves customer-facing teams and front and back-office departments supporting customer service functions.
When building your workflows, consider the following aspects:
Clearly define stakeholders and their roles
To go deeper, identify how each interacts with the customers. Whether the customer experience teams carry out onboarding calls or the tech team ensures quick turnaround on bugs and other tech issues, each individual is a vital workflow component.
Without clearly identifying each contributor's role, your customer support machinery will become a directionless web of actions.
The departments where process stakeholders work
Cross-functional collaboration across departments is essential for smoother movement within a customer service workflow. Let other departments involved in the workflow know how to prioritize and enable the resolution of customer service requests.
Step 3: Identify your data requirements
Knowing what data will be required to drive these workflows is an equally important step. Within automated systems, the support team must know where all the essential data is stored and how it will be synchronized between different stakeholders and departments.
How will data be connected?
Define how the data handoff between various stakeholders and departments will take place. Consider the scenario where an existing customer wants to add more features to their package. The process must ensure that all the necessary data reaches the product or other relevant departments.
What does your tech stack look like?
The software you choose must be compatible with the tech stack other teams use to ensure an automated and error-free flow of information between different systems and departments.
Step 4: Use workflow automation tools
Integrate your workflows using automation tools. These tools enable users to create and customize workflows without switching between tabs and/or windows.
Plivo CX's drag-and-drop workflow builder allows you to effortlessly create tailored customer journeys across all communication channels in just a few clicks. With enterprise-grade security and integrations like Shopify and Salesforce, the platform streamlines communication and enhances customer experience.
Step 5: Test and refine
Finally, the efficacy of every workflow is tested using real scenarios. At this stage, you must be able to answer the following questions: Has the customer support workflow truly advanced you toward your customer support objectives and/or improved your support team’s efficiency?
Optimize customer service workflows by A/B testing multiple variants. Compare performance under identical scenarios and conditions to identify the most effective version, ensuring continuous improvement and the best possible customer experience.
Best Practices for Creating Customer Service Workflows
Let’s take a look at some of the best practices you can implement to drive higher ROI with your customer service workflows:
Opt for the right tech stack
Don’t rely on your CRM or voice software for customer support communications. Deploy an integrated customer support platform to your customer support workflow processes. Consolidating all your important tools into a single interface will simplify the creation of new workflows.
Embrace continuous improvement in customer service processes
Given the ever-growing expectations of customers today, your customer support management should be able to stand the test of time. Conduct regular process audits and upgrade your customer service workflows to meet the needs of modern customers.
Follow a customer-centric approach
When building your customer support workflows, keep your customers front and center. Maintain a consistent, high-quality experience for them from the start and throughout their journey with your brand.
Enhance Customer Service With Plivo CX’s Drag-And-Drop Workflows
The right solutions, such as building a customer service workflow, can be your gateway to establish more reliable customer service processes and boost customer satisfaction.
Plivo CX's drag-and-drop workflow builder simplifies the creation of powerful automation workflows for customer journeys. Its intuitive interface allows users to connect components, configure them within the workflow, and even trigger workflows remotely using APIs.
Also, features like easy handoffs to human agents and skill-based routing enhance efficiency. Plivo CX prioritizes enterprise-grade security and integrates with various platforms like Shopify, Zoho, and Salesforce.
Whether you need solutions for e-commerce, automated flows, or proactive customer service, Plivo CX’s comprehensive resources and features empower businesses to streamline communication and improve the customer experience.
Book a demo now to learn more!

Omnichannel vs Multichannel Customer Service
Learn how omnichannel and multichannel customer support differs, and find out which method offers the most seamless experience for your customers.
"We see our customers as invited guests to a party, and we are the hosts. It's our job to make the customer experience a little bit better." – Jeff Bezos.
Bezos is absolutely right. And to create that welcoming, engaging party atmosphere, brands are now leveraging a multitude of communication channels. They're connecting with customers through AI chatbots, WhatsApp, email, SMS, social media, and even personalized calls or meetings.
Despite the best intentions, there's always room to improve the customer experience, and many of us have encountered moments where it could be better.
In a 2024 study, Forbes indicates that 64% of customers admitted they would switch to another brand if they found poor customer service, even if they liked the product. To overcome this, businesses are now focusing on making data-driven decisions.
They also seek to enhance their customer service with two distinct approaches: omnichannel customer service, which can retain 89% of customers year over year and multichannel customer service, which leads to an increase in both in-store and online sales.
Although omnichannel and multichannel customer service sounds similar, they are distinct approaches. Omnichannel customer service involves providing a seamless experience across channels, whereas multichannel customer service is more siloed, offering support on separate channels.
In this blog post, we’ll deconstruct what they are, how they work, and how to select the right one for your business growth.
Let’s begin!
What is Multichannel Customer Service?
Multichannel customer service offers support on multiple channels, such as email, phone, and social media. However, each interaction is handled separately.
As a result, this approach can lead to significant drawbacks. For example:
- In a multichannel contact center, customer support teams often operate in silos, lacking access to a complete view of the customer's interactions across different channels. This results in disjointed conversations and vague responses, ultimately leaving customers frustrated and dissatisfied.
- Customers may have to start from the beginning for each new interaction until they receive satisfactory support, which can turn them away and result in lost sales.
Imagine a customer emailed a company about a problem with their recent order. However, this customer had previously called the company to discuss the same issue, but the email representative had no record of that call. So, the customer ends up having to repeat their entire story and explanation, causing frustration and a sense of being unheard.
This is a classic example of the disconnect that can happen in a multichannel contact center.
Such a lack of synergy in multichannel customer support highlights the priority of goods and services over customer satisfaction, which can potentially hamper future purchasing decisions.
What is Omnichannel Customer Service?
On the other hand, omnichannel customer service establishes a frictionless omnipresence of customer service. It provides interconnected, all-time-present, and consistent customer engagement across all communication platforms.
As a result, regardless of the platform that customers choose, there is no room for a disrupted and annoying experience. Instead, customers receive highly tailored solutions based on their individual interactions and purchase history, fostering a sense of loyalty and understanding.
For example, consider PayPal Happy Returns to understand the omnichannel environment. To streamline PayPal's omnichannel return solution process, customers can initiate returns directly from the retailer's website instead of a separate website or app. They receive a QR code, visit a Return Bar location (partnered with Ulta Beauty), scan the code, and get a real-time refund without packaging or labels.
To be specific, an omnichannel contact center revolves exclusively around customers' requirements and priorities rather than products or services first.
Omnichannel vs Multichannel Customer Service: A Quick Comparison
Benefits of Omnichannel Customer Service
According to Deloitte, with omnichannel relationship management, you can earn loyalty from up to 62% of customers. Let's explore how it can be accomplished:
✅ Unified customer context
First, your customer support teams need a cohesive context to win over your customers’ buying psychology. For this, they gather consolidated data through omnichannel communication, segregate it, and map a strategic customer journey to suit their needs.
Salesforce State of Service highlights that it’s nearly impossible to provide great customer service without full customer context. Therefore, focus on these aspects to build more context:
- Have a sharp eye on your customers' queries, be it their problems or interests
- Distribute data across different channels with ease
- Help customers smoothly transition from one platform to another
- Create a clear feedback avenue for your team members as well as customers
✅ Lower resolution time
Naturally, customers tend to prefer effective assistance without waiting in a long queue or going through multiple follow-ups. With omnichannel support, you can reach them through a wide range of touchpoints while taking positive action with valuable knowledge.
Since 90% of customers consider an immediate response within 10 minutes a sign of a better experience, omnichannel support helps you go this extra mile by lowering average resolution time. Doing so increases the possibilities of making your customers happy and turning them into your brand’s loyal advocates.
"Happy customers are your biggest advocates and can become your most successful sales team." — Lisa Masiello.
✅ Higher NPS and CSAT
With omnichannel customer service, you can efficiently provide what your customers want and treat them with the same care and consideration you'd expect from trusted friends and family. This personalized approach fosters a sense of value and belonging, making them feel truly appreciated.
This way, increasing the “Customer Satisfaction Score” (CSAT) no longer remains an unbeatable challenge, and it positively impacts the “Net Promoter Score” (NPS). Your satisfied customers continually engage in word-of-mouth marketing, recommending your brand to their dearest ones without hesitation, even before you ask for a referral.
✅ Better quality of collected customer data
Insights from PWC show that American consumers value speed, convenience, and knowledgeable help. This underscores how these factors can bring customer loyalty, reduce customer attrition, and enhance customer lifetime value.
However, achieving this may not be possible without clean and in-depth data, and this is where omnichannel service plays a bigger role. Adopting it can lead to a flawless understanding of opportunities and challenges and crafting data-rich strategies.
To make it more accountable, the following approaches can be helpful:
- Be thoughtful about which type of customer data you want to track
- Prioritize data quality over quantity to head in the right direction
- Remove redundant or bloated data from the system to stay updated at all times
- Ensure cross-checking of the accuracy of individual customer data before making offers
Omnichannel vs Multichannel Customer Service: Which Approach Can Be Better for Your Business?
To put it simply, neither is “better” than the other—it solely depends on the business's needs. All you need to do is decide which is essential to reducing customer friction.
Here’s how you can proceed with choosing the most suitable option for your customer service:
👉 Know your customer well
Prompt assistance, more convenience, personalized interaction, or a hike in valuable offerings—consider what your customers are looking for. Taking their choices and feedback into account can shape your strategy with the right choice of customer service.
After all, if your customers come first, they will last.
👉 Evaluate existing resources and their capacity
Next, identify your budget range. Can you satisfy your target audience with your existing resources, or do you need more?
Finding specific answers to these questions and jotting down a list of your backup options can help you choose the right operational method through top customer service channels and smoothly run them.
👉 Think about your long-term goals
Will you target an expanding customer base? Or do you want to launch more unique features to level up brand value and customer experience? If you decide to make your path more scalable and flexible, sticking with or switching to a synchronized service would be a great choice.
👉 Make a decision based on your current situation
As Salesforce data suggests, 76% of customers expect a unified experience across all departments of a brand. Therefore, incorporating flawless omnichannel support becomes an obvious choice. However, it requires skilled people, modern technology, and sufficient financial resources.
Based on your current capabilities, either move forward with omnichannel service or continue with multichannel, upgrading it later if resources are limited now.
Offer a Superior Omnichannel Customer Service with Plivo CX
Both omnichannel and multichannel customer service strategies aim to enhance customer interactions, but omnichannel provides a more integrated and seamless experience. This improves customer satisfaction compared to multichannel's potentially fragmented approach.
If you want to leverage the power of a true omnichannel customer service platform, Plivo CX comes with a Unified Agent Desktop that brings channels such as AI-powered chatbot that works for all messaging channels like voice, SMS, email, and WhatsApp together in a single interface. Handle interactions seamlessly without switching between multiple tools.
With OpenAI-powered chatbots, IVR and voicebots, you can optimize customer service costs while quickly handing over complex issues to suitable agents. No-code workflow builder empowers businesses to create personalized customer journeys across all communication channels.
Plivo CX can also help you quickly integrate with the existing tech stack and homegrown systems. You can also coach agents with comprehensive live metrics and historical reporting.
On top of everything, it is powered by Plivo’s award-winning, reliable and high-quality carrier network.
To see Plivo CX in action, schedule a demo today!

How Much Does Customer Support Cost and How To Reduce It
If you’re a business leader or a head of customer support, here’s how you can calculate how much your customer support costs and tips to reduce it.
Introduction
The role of prompt, result-driven and empathetic customer service in shaping brand perception and building long-term relationships hardly needs an introduction.
According to the Journal of Consumer Research, studies show that 90% of consumers expect immediate responses to their inquiries, and companies that meet these expectations see significant improvements in brand perception and customer satisfaction.
However, customer service leaders face unrelenting pressure to deliver more value to customers while reducing costs to the business. Here’s where getting the customer support calculation right and using strategies to optimize the cost becomes necessary.
Reducing costs also requires a comprehensive understanding of a customer service unit's P&L. This equips leaders to understand the nuances of different cost verticals and helps them design their cost optimization strategy.
In this article, we go through the various costs associated with building a robust customer support system and highlight proven customer service cost optimization strategies.
Why is Calculating Customer Support Costs Important?
Here’s how calculating customer service costs helps you identify gaps and fix them early on:
1. Effectively align the resources needed
With costs at hand, business leaders can gauge their support human resources sufficiency better. This helps avoid overinvesting or underinvesting and guarantees that you do not have SLA breaches.
This strategic approach minimizes expenses such as workforce and onboarding costs and improves the overall effectiveness of customer support operations.
2. Streamline the overall process and improve efficiency
Identifying areas suitable for automation or efficiency improvements through software or enhanced employee training is key to reducing customer service costs. This leads to happier customers due to faster response times and improved issue resolution, boosting your team's productivity.
Ultimately, this translates to increased customer loyalty and repeat business, all while optimizing your operational budget.
3. Make faster decisions to identify investments
Knowing how much customer service costs early on, instead of being an afterthought, helps you make quick decisions about whether to invest in a particular technology or downsize the investment.
For example, you’re spending way more on legacy software in terms of yearly renewal and maintenance costs, and the learning curve is so high that your agents are not using it to its full potential. Instead, you could move to new-age software with pay-as-you-go pricing to make it more viable and show the ROI to your stakeholders.
How to Calculate Customer Service Costs?
The total customer service cost can be divided into three parts:
1. Workforce cost
This is defined as the cost of employees, their salaries, benefits, onboarding, IT and training, and any additional costs associated with your customer support team.
For organizations with a well-established customer service department, workforce costs are higher than software and hardware costs.
2. Operational cost
For your customer support employees to diligently resolve endless customer tickets, there has to be a robust infrastructure supporting them. Everything comes under operational costs, including rent, equipment costs, and software licenses.
Some companies also offload these costs by hiring outsourcing partners. However, remember that outsourcing comes with the burden of limited accountability and limited process control.
3. Customer churn cost
Ineffective customer service can drive customers away, resulting in lost revenue and additional expenses to acquire new customers. These hidden costs can significantly impact your bottom line. Investing in quality customer support can not only retain valuable customers but also save you money in the long run.
It is often the case that some of the above costs are shared between different teams.
If you are in a dilemma of whether a cost head should be included, this LinkedIn post from the Senior Director of Sun Country Airlines guides you on how to approach this:
Industry Customer Service Cost Benchmarks
Here are some customer service cost benchmarks across large (greater than $100M ARR), medium ($10M to $100M ARR) and small(less than $10M ARR) companies that you can use to compare your company costs. The segments are identified to normalize the economies of scale and the stage of the company.
- Large-sized companies: 39% of them have customer service team costs 5% or lower than their ARR.
- Medium-sized companies: 22% of them have customer service team costs in 5% to 10% range and 35% have them controlled under 5% of their ARR.
- Small-sized companies: The percentage of companies are uniformly distributed across from >30% to <5% of ARR except having 25% companies lying in 15% to 10% ARR range.
As per a study in 2021, below is the average breakdown of the customer service desk costs worldwide in 2021. The study also highlighted that the breakdown remained relatively consistent from country to country and region to region

Important KPIs for optimizing customer service costs
Now that we know the different customer service cost functions, let’s look at the customer service examples and KPIs you can use to optimize costs:
Cost per support ticket
The cost per support ticket tells you how much you spend per customer query. This metric gives an overview of the complete support function and helps you gauge cost optimization results.
To find the cost per support ticket, use this formula
Total customer support spending/ Number of tickets = Cost of support per ticket
Total customer support spending includes all the costs like rent, maintenance, payroll, and software licensing fees.
For example, if you spent $3200 on 1000 tickets, your cost/ticket becomes $3.2. This can become your go-to metric to take product or hiring-related decisions with holistic understanding of the impact on margins. You can further deep dive into this metric by understanding if there are specific clients or geographies with high cost/ticket driving this.
A study finds the below channel wise cost metrics for the North American market in 2021. It shows that the cost of self-help channel is on average 8X better than voice or chat based channels.

Cost of support per order
Calculating customer service costs requires taking into account both acquisition and retention expenses. A portion of every dollar spent on acquiring new customers is necessary to retain them, emphasizing the importance of accounting for retention and support costs.
To calculate the cost of support per order, use this formula:
Total customer support spend/number of orders = cost of support per order
A high support cost per order can be a red flag, indicating potential inefficiencies in your support team’s workload. This situation requires an immediate review of your internal processes to streamline operations.
Cost per revenue
Calculating customer support costs relative to revenue helps determine whether support costs are justified and sustainable for your company.
To calculate the cost per revenue, use this formula:
Net sales/ Total Number Of Tickets = Cost Per Revenue
Strategies to Reduce Customer Service Costs
Customer self-service options
Chatbots are one of the most reliable ways to meet customers’ needs 24/7. Without heavily investing in a team to be always available, you can leverage an AI-driven chatbot and enable customers to self-service as required.
Chatbots automate customer resolutions enhancing your capability to cater to a large ticketing volume with a small team size, resulting in lower overall customer support costs.
Plivo CX offers an intuitive chatbot developed in partnership with OpenAI. It ensures your customer support remains state-of-the-art. With no coding required, you can build your AI chatbot in minutes and train it using only the selected content, ensuring accuracy and relevance.
Besides, you can also enhance your customer service efficiency with our fully customizable voice IVR. Allow callers to self-select options for quicker routing, reducing wait times. Personalize the customer experience by using customer data in greetings and voice prompts.
Omnichannel customer support
Let your customers contact your support team via their preferred channels. An omnichannel customer support platform like Plivo CX provides a unified agent desktop with real-time support across channels, including AI-powered live chat, voice, SMS, email, and WhatsApp.
This eliminates the need to switch between different applications. Service agents can quickly get all the context-building customer information in a single window.
Agent training
Plivo CX’s metrics and reporting feature has live agent dashboards to reskill your customer service team and historical reports for in-depth insight and agent coaching. Some of the standout coaching features that help you reduce customer service costs are call recording, call barge and whisper, and CSAT collection.
Customizable workflows
With drag-and-drop workflows, you can simplify your processes and boost efficiency. Customer service teams can quickly configure and automate complex customer journeys, drastically reducing the time and effort required for setup and management. The workflows can also be integrated with homegrown systems.
How Do You Calculate the ROI of Customer Support?
Customer support linked upsells and cross-sells
Find out how many upsells and cross-sells have happened after a customer support touchpoint within a desired timeframe to gauge the revenue generated from this activity.
However, you might need a well-integrated backend system to accurately monitor upsell and cross-sell data.
Once you have the data, apply this formula:
ROI = (Revenue from upsells and cross-sells - Customer support costs) / Customer support costs * 100
This formula gives you a percentage representing your customer support’s ROI. It shows if your investment in customer support is worth it.
Retention
Another way to estimate ROI is to find how the customer support team influenced an existing customer's decision to renew the service. Retention is a long-term metric that varies from company to company.
Once you have your retention metric defined, apply this formula:
ROI = (Revenue from renewals - Customer support costs) / Customer support costs * 100
A higher ROI indicates lower churn rates, which directly reflect the impact of your actions on customer loyalty. It shows how your customer service efforts contribute to customer retention and revenue growth.
Indirect returns
While the above two methods discuss direct ways of measuring ROI estimates, the customer support team also brings some benefits that are hard to quantify.
For product and marketing teams, customer support teams serve as the first point of contact to understand customer pain points. This feedback is essential for continuous product development and impacts the overall customer experience.
Here are some questions to help measure these indirect benefits:
- How many bugs did customers report?
- How many customer-suggested features were added?
- How many sales leads from support interactions were converted?
Though these numbers are challenging to track, they are vital for understanding the ROI of customer support.
Enhancing the Overall Value of Business Through Customer Support
Undoubtedly, it is challenging for leaders to balance exceptional customer service and cost optimization. However, understanding cost structures and reviewing KPIs and ROI of support functions can hedge cost components and secure business growth.
As a proper omnichannel customer service solution, Plivo CX can help you reduce your customer service costs while maximizing customer experience as you can drive a seamless experience across channels, create several touchpoints with customers, and empathetically interact with them 24/7.
It also leverages Plivo’s award-winning carrier network so that you can deliver top-notch services across the globe, on the channels your customers prefer.
To learn more, book a demo.

Customer Service Automation: A Quick Guide to Getting Started
Learn about customer service automation, its examples, channels, and the best customer service automation software, Plivo CX Service.
A McKinsey report suggests that 60% of global consumers consider convenience a key factor when choosing where to shop. Thus, businesses that fail to offer convenience risk losing customers to competitors who do.
But what happens when your customer support inquiries outgrow your support team’s capacity? Or when customers reach out for help on holidays or outside office hours?
Providing consistent, top-notch customer support becomes more challenging as your business grows. Customer dissatisfaction skyrockets by 262% when wait times exceed what customers anticipate.
In this scenario, customer service automation comes to the rescue.
If you’re looking to discover its potential and implement automated customer service for maximum client satisfaction, this detailed guide is for you.
What is Customer Service Automation?
Customer service automation involves integrating an assortment of automation technologies, including self-service chatbots, IVRs, automated notifications, and more, into your customer support operations. The goal is to elevate the customer experience, offering a level of service that surpasses what human agents alone can provide.
A McKinsey report points out that one of the remarkable shifts in post-COVID consumer behavior is shifting notions of brand loyalty. With more options open and available than ever before, customers aren’t shying away from trying out (or switching) to a competitor.
Therefore, working proactively to build brand loyalty is crucial. And what’s one of the essential ingredients for building brand loyalty?
An enhanced, empathetic and prompt customer service.
Automated customer service lets you achieve this. It blends with traditional support methods, such as one-on-one customer calls, to handle large customer queries without running out of resources.
Some other notable benefits of customer service automation are as follows:
- 24/7 availability
- Quick redressal of common queries and FAQs
- Intelligent ticket routing
- Improved overall customer satisfaction
The difference between traditional customer support and automated customer support
Traditional and automated customer support are not opposing forces but complementary elements in modern customer service. The optimal strategy blends the strengths of human interaction with the efficiency of automation to create the best possible customer experience.
Here are some fundamental differences between traditional and automated customer service:
How Do You Implement Automated Customer Support?
Customer service automation takes place through various software channels, such as:
1. Self-service AI chatbots
Powered by the latest generative AI technology, AI chatbots quickly respond to customers’ queries, direct them to knowledge bases, and create tickets. Advanced chatbots even hold a full-fledged conversation with your customers and completely resolve their queries. When unable to assist, they hand off queries to the right support agent.
Ideal for: Resolving repetitive customer issues and queries. AI-powered chatbots can be trained to tackle complex problems using your product’s knowledge base and take action on connected business systems like order management, CRM, payment systems, and helpdesks to resolve requests. Chatbots can also transfer conversations to a human representative for more complex or sensitive issues that require a personal touch.
2. Automated ticketing systems
Automated ticketing systems classify and route complex customer queries to the most appropriate POCs. They collect the relevant customer data, such as images, issue descriptions, and other details, before transferring it to the right touchpoints.
For instance, a transaction issue would be automatically directed to the finance team, while a product quality concern would involve the most suitable point of contact. This streamlined process ensures that each query receives prompt attention from the most qualified personnel.
Advanced ticketing systems also:
- Nudge agents to take action when tickets are open too long
- Keep customers informed about their ticket status
- Assign tickets based on agent workload and availability
- Suggest self-help resources
Ideal for: Handling transaction-related or product-quality issues that require human intervention but are not urgent. These systems streamline the process, addressing customer concerns promptly while freeing up your support team.

3. Knowledge base
A knowledge base includes product guides, FAQs, video resources, and glossaries that help users with the most common concerns.
A lot goes into creating a worthwhile knowledge base—looking at your support ticket data, analyzing your products, services, or policies, reviewing specific use cases, compiling inputs from cross-functional teams, and organizing it all neatly in a format customers can engage with.
An effective knowledge base fosters self-help and integrates well with your AI chatbot. Once your customer faces an issue you covered in your knowledge base, chatbots redirect your customer there for detailed step-by-step assistance.
For instance, take a look at the omnichannel customer service platform Plivo CX’s knowledge base:

In addition to video guides, this knowledge base provides articles and resources to help users fully understand and utilize the platform's many features.

Ideal for: Covering product demos and tutorials, use cases, or informing customers about your product’s return or refund policies.
4. Canned responses
Canned responses are pre-written text messages that your customer service agents can use to chat with customers quickly. They help improve agent response times and reduce agent fatigue. They also help incorporate brand voice and tone in customer communication across channels.
For instance, an agent named John can have a canned response that says, “Hi, I am John. I will assist you with your issue today.”

Ideal for: If your website doesn’t have a live chat feature or your customers prefer reaching out to you over email, implement canned responses for FAQs related to products, services, returns and exchanges, and pricing to decrease the response time.
5. Voicebots
Leveraging the advanced capabilities of conversational AI, natural language processing (NLP), and speech recognition technologies, interactive voice-based assistants add a layer of superior and personalized customer service to your business while lowering operational costs. They understand customer sentiments and optimize call routing by sending high-priority issues to the right team. Moreover, AI-driven bots can provide round-the-clock service to customers in the language of their choice.
Ideal for: Handling tier-1 support queries and routine inquiries. In healthcare, voice bots can schedule appointments and provide information on treatment options. In banking, a voice bot can verify a customer’s identity and perform tasks like checking the account balance and blocking a stolen card.
The Advantages of Automated Customer Support
1. Allows for seamless scalability
Your mid-sized business may be managing customer support with a small team today, but as your business grows and customer inquiries increase, your team will soon reach its limit.
Customer service automation handles thousands of customer interactions simultaneously. Plivo CX integrates with your existing tech stack as you grow—ticketing, order management, CRMs, and more.
Additionally, you get to build customizable no-code workflows that are automatically triggered with any inbound call or text. For example, you can set a workflow to route high-priority and usual customers to different queues.
2. Provides 24/7 support availability
24/7 availability simply means allowing customers to reach out for support anytime. You also risk customer churn if you are slow to respond or hang up on them. Plus, hiring night shifts is not just expensive, but night-time workers are also at a higher risk of anxiety and mental health concerns.
To avoid this, AI-powered chatbots ensure customer queries are answered round the clock, whether your support team is online or not. To elevate the customer experience further, Plivo CX partners with OpenAI to offer intelligent chatbots you can easily train and connect with your existing knowledge base.
Also, the platform’s drag-and-drop workflow builder allows businesses to create custom customer journeys across all their communication channels. Not only that, the platform seamlessly integrates with various systems, including homegrown solutions.
3. Improves agent efficiency
Apart from handling customer concerns, your customer service automation tool empowers agents to focus on value-driven activities such as attending to complicated questions, upskilling, analyzing and improving performance.
For this, Plivo CX offers a Unified Agent Desktop that offers a clutter-free agent interface. On the left pane, agents can toggle seamlessly between incoming customer calls or messages.
They can also use and switch between every channel—voice, chat, text/SMS, and WhatsApp—all in one place. Furthermore, agents have real-time access to complete customer information, ensuring contextually relevant and personalized interactions.

4. Enables omnichannel communication

Omnichannel communication involves addressing customer issues and communicating with them on the channel of their choice, be it voice, email, WhatsApp, call, or SMS. This is slightly different from multichannel customer communication and can deliver a seamless customer experience more effectively.
As an omnichannel customer service platform, Plivo CX lets you seamlessly switch between voice, OpenAI-powered live chat, SMS, MMS, email and WhatsApp, or use multiple channels simultaneously from one screen.
It also offers out-of-the-box integrations with Salesforce, Zendesk, and Shopify to centralize your customer information in a single source of truth. Moreover, you can configure omnichannel customer journeys that help with better CSAT via intelligent routing and better problem resolution.
5. Helps you gain valuable customer insights
The right customer service automation tools help you monitor what’s going on at your call center up close. They come with features like live dashboards that help you see agent productivity in real time, along with powerful reports to make your call center processes better.

The Service module of Plivo CX offers access to powerful live metrics with features like Call Barge or Whisper to let supervisors take over when agents feel stuck while talking to customers.
Top Customer Support Automation Tools
1. Plivo CX

Plivo CX is web-based customer service automation software that enhances agent productivity and elevates customer satisfaction. The platform supports multiple communication channels, enabling businesses to engage with customers via AI bots on messaging channels, voice, SMS, email, and WhatsApp to offer a seamless experience for both customers and agents.
It also leverages Plivo’s award-winning global messaging and calling network to provide customers with fast, faultless communication. So, there is no dependence on third-party services.
Plivo CX is a perfect fit for midmarket B2C and eCommerce businesses because it seamlessly integrates with CRM systems, help desk software, marketing automation platforms, homegrown systems, and so on.
Key features
- Leverage OpenAI-powered chatbots, IVRs, and knowledge base integration to automate a large portion of your inbound customer queries
- No-code drag-and-drop workflow builder lets you decide how you exactly interact with customers across channels
- Make contextual and historical customer data available in a Unified Agent Desktop from your CRM or other systems so that your agents can seamlessly switch between voice, chat, text/SMS and WhatsApp
- Measure your agents’ performance using historical reports and live dashboards, along with comprehensive support for coaching
Limitations
- It is not ideal for transactional ticket-based support
- Lacks quality assurance and workforce management features
- No mobile version for support agents
2. Aircall

Aircall empowers customer service with features like intelligent call routing, missed call tracking, call context and analytics, the ability to blocklist numbers, and more.
It also supports collaboration via shared contacts, enabling your team to follow customer conversations. Aircall’s customer service automation software offers analytics to gain granular details of your customer service center performance.
Key features
- Get customer context on every inbound call with Insight Cards
- Smartflows Call Routing lets you build inbound call flows to redirect calls to the right agents
- Get insights into analytics like total inbound or unanswered calls or talk-to-listen ratios
Limitations
- Rudimentary workflow designer lacks flexibility for custom journeys needed by larger businesses (Source)
- Offers only voice-based customer support, lacks helpdesk and knowledge base features
- Has robust features for voice support but does not support other channels
3. Zendesk

Zendesk is an all-in-one customer service automation tool that supports omnichannel communication. It offers services such as call support, chatbots, ticketing, and knowledge base creation and integrates with 1,200+ pre-built apps and business sources.
Key features
- Zendesk works predominantly on a ticket-based approach where complex customer queries are routed as tickets
- Its AI-powered chatbots, called AI agents, offer personalized support and provide human agents with necessary context when needed
- Integrates well with most of the popular software and apps in your tech stack, including CRM systems, and offers immense potential for customization
Limitations
- Live monitoring and coaching capabilities are missing (Source)
- Has limited calling capabilities (Source)
- Lacks customizable workflows
- Relies on a transactional ticket-based system for all interactions
4. Talkdesk

As an AI-powered contact center solution, Talkdesk offers self-service AI, omnichannel support, and a customizable customer journey builder. It also offers support for training, coaching, and managing your customer service agents and analytics to measure customer satisfaction.
Key features
- Provides a user-friendly interface that allows easy navigation for agents to access customer information and handle calls efficiently
- ACD intelligently routes incoming calls to the most appropriate agent based on skill set, availability, or customer history
- Supervisors can monitor live calls or review recordings to provide feedback and improve agent performance
Limitations
- Offers a voice-only base pack, which is pretty expensive
- Requires separate helpdesk software for comprehensive interaction management
- Relies on a third-party service for voice calling functionality
- Lacks native omnichannel capabilities, limiting seamless customer interaction
How Plivo CX Helps With Customer Service Automation
Deliver exceptional customer service anytime and anywhere with Plivo CX’s tailored solutions. Proactively meet your customers' needs on all fronts and exceed their expectations.
As a cloud-based omnichannel platform, Plivo CX empowers businesses to automate customer service through AI-powered chatbots that provide instant support, intelligent ticket routing to ensure inquiries are handed over to the right agent and a Unified Agent Desktop for seamless access to customer information.
Additionally, the platform offers self-service options like knowledge bases and FAQs, reducing agent workload and empowering customers to find answers on their own.
This comprehensive automation streamlines customer service operations, improves efficiency, and enhances customer satisfaction.
To learn more, book a demo today!
How to Send an SMS Verification Code in 5 Minutes
Start sending OTPs in one second with Plivo’s Verify API. Learn how to easily enhance user security with SMS verification codes in five minutes.
SMS verification codes can significantly enhance your security measures, providing a quick and effective way to verify a user’s identity. Integrating text message verification codes into your authentication process can save time, streamline workflows, and strengthen user trust.
Plivo’s Verify API makes it easy to start sending one-time passcodes (OTPs) in one second or less. In this guide, we’ll explain why SMS verification is so effective and show you how to set it up in just 5 minutes. Our API allows you to send your first OTP in 90% less implementation time than a legacy verification solution. We'll also provide step-by-step instructions to ensure you can quickly and easily incorporate one-time passcodes (OTPs) into your applications.
Why should I use SMS verification codes?
While SMS verification isn't foolproof, it's a widely used and convenient security measure. One-time passcodes delivered via SMS or voice add an extra layer of security to online accounts, making them more difficult to break into. Accounts with one-time passcodes enabled as part of two-factor or multi-factor authentication make it much harder for hackers to break in, even if they steal your password.
Financial institutions, e-commerce sites, streaming platforms, and delivery apps. For instance, SMS verification can confirm that the person logging into a peer-to-peer payment platform is the account owner. This can help prevent unauthorized purchases or account takeovers.
Prerequisites to send one-time passcodes
Before we dive in, make sure you complete the following requirements:
1. Plivo account: Sign up for a Plivo account if you still need to do so.
2. API key and token: Obtain your Plivo API key and token from the Plivo console.
3. Phone numbers: Ensure you can access the phone numbers to which you intend to send verification codes.
4. Programming environment: Set up your programming environment with the necessary libraries to interact with the Plivo API. Install the Plivo SDK for your programming language: Plivo supports Python, JavaScript, Ruby, and many more languages.
In summary, make sure you have a Plivo account with an application created. While creating the application, define the right session expiry, attempt, OTP length, etc. You will also need to get a library/module/SDK for making HTTP requests to Plivo's API (this is available in various programming languages) or directing HTTP requests to Plivo’s API.
With these prerequisites in place, here’s how to start sending OTPs.
Create a session
Plivo’s Verify API can be used with Python, Ruby, Node, GO, PHP, .Net, Java. This article will focus on Python.
Step 1: Install Plivo SDK
First, you need to install the Plivo SDK for your programming language. For Python, you can use pip:
Step 2: Configure Plivo Client
Initialize the Plivo client using your Auth ID and Auth Token:
Step 3: Send the OTP
Create a Verify session for sending OTP:
Arguments:
- recipient (string): The phone number to which the message is to be delivered. It's a mandatory parameter.
- app_uuid (string): The UUID of the application you want to use for this session. Defaults to the UUID of the default application for your account.
- otp: You can specify the OTP in the request if you want to send a custom one instead of a system-generated one.
- channel (string): The channel you want to send the code. Allowed values: sms, voice. Defaults to sms.
- locale: The locale parameter allows you to customize the language of the OTP message. This is useful if your users are in different regions and prefer different languages.
- url: To receive a callback on the final state of OTP delivery.
- method: The HTTP method to be used when calling the URL defined above.
If you created multiple applications, you can send the app_uuid in the request parameter:
If you are sending a custom OTP:
If you want to send the locale parameter:
Validate the session
Once the user receives the OTP, they must provide it to your application. You can then verify the OTP using the validate request:
You can request the Plivo support team to configure the hashmap so that the OTP will be automatically read from the message, eliminating the need to enter the received OTP on the handset.
Arguments:
- otp (string): The OTP that you want to validate against a particular session.
- session_uuid: The session UUID of the Verify session request.
Get and list Verify sessions
You can retrieve details of a specific Verify session or list all Verify sessions. This can be useful for auditing and tracking purposes.
Start sending SMS verification codes with Plivo
While there are plenty of ways to improve the security of your application and protect customers from fraud, a lot depends on your service provider.
If you’re looking for a reliable and trusted partner, Plivo is the right solution for you. We send messages to audiences in 220+ countries and offer a full suite of products including SMS API, Verify API, WhatsApp Business API, Voice API, and more.
Interested in reading more about how Plivo can help you strengthen your application’s security? Check out some of our top picks:
- How to Add Two-Factor Authentication to a Python Flask Application with Plivo: A step-by-step guide for Python developers.
- Adding Two-Factor Authentication to a .NET Application: Learn how to integrate OTP verification in .NET.
- Implementing Two-Factor Authentication in Ruby: Ruby developers can follow this detailed tutorial.
- Verify API Reference Documentation: Comprehensive documentation for developers looking to dive deep into Plivo's Verify API.
Preventing SMS Fraud with Plivo: Learn how Plivo’s Verify API protects against SMS fraud.
Conclusion
By following these steps, you can easily integrate Plivo’s Verify API into your application to manage OTPs for user verification. This process ensures a higher level of security and helps authenticate users effectively.
That’s it! You should be ready to start sending OTPs for account verification. For full details regarding setting up OTPs with Verify, check our developer resources.
Plivo’s Guide to Toll Fraud Prevention: How to Protect Your Business
Learn how Plivo's Fraud Control prevents toll fraud and can prevent your business from losing money. Request a free trial.
The Global Fraud Loss Survey 2023 found that robocall scams in North America now account for more than 50% of global losses. Yet, many businesses are unprepared to deal with robocall scams and their implications for customers.
As businesses increasingly rely on automated systems and digital communication, the opportunities for fraudsters to exploit vulnerabilities also rise.
Toll fraud not only affects customer trust but can lead to significant financial losses and damage to a company's reputation. It is crucial for businesses to understand the mechanisms of such frauds and implement robust prevention strategies to safeguard their operations and maintain customer confidence.
In this guide, we’ll dive deeper into toll fraud and explain how to take steps to protect your business.
What is toll fraud?
Toll fraud, otherwise called international revenue sharing fraud (IRSF), occurs when an unauthorized individual gains control of a company’s phone system to transfer long-distance, international, or even premium-rate calls at the owner's expense.
Usually, fraudsters gain access to voice mail systems or private branch exchanges (PBXs) that are not adequately secured. They use this access to make call-through calls, which rack up expenses by using unreasonable foreign or premium services.
How does toll fraud work?
Toll fraud affects landline and mobile numbers in more than 200 countries. The profitable nature of toll fraud is reflected in the emergence and re-selling of the number range, as many as 10,000 new IRSF-related areas are promoted weekly.
Here’s a step-by-step example of how toll fraud works to the detriment of a business.
Finding weaknesses: Fraudsters scour telecommunication systems for vulnerabilities. These weaknesses could involve poorly secured account registration processes or weak security settings.
- Fake account factory: Once a weakness is identified, the fraudster creates many fake accounts using automated bots or scripts. These fake accounts can appear quite legitimate at first glance.
- Premium number power: Fraudsters leverage premium-rate or premium-service numbers provided by telecom carriers. These numbers charge significantly higher rates per call or text message compared to regular numbers.
- Exploiting the system: Fraudsters use the fake accounts and premium numbers to steal money using two different methods:
- The 2FA trap: If a service uses SMS or voice verification codes for two-factor authentication (2FA), fraudsters can exploit this. They trigger a massive number of verification code requests to be sent to their fake accounts, all routed to the premium numbers. This results in a surge of expensive texts or calls being billed.
- Account activity abuse: Services with free trials or account creation are vulnerable. Fraudsters exploit weak registration processes to create a multitude of fake accounts. These accounts might then be used to trigger actions that generate SMS or voice traffic to premium numbers, racking up charges for the service provider.
- Profit sharing scheme: In some cases, the fraudsters might collude with a complicit telecom carrier. The carrier might share a portion of the inflated revenue generated from the premium number usage.
By generating a massive amount of fake traffic to premium numbers, fraudsters steal money, often leaving the service provider or unsuspecting user with a hefty bill.
Who is at risk of toll fraud?
Voice over internet protocol (VoIP) users, firms using premium rate numbers, and people dealing with international communications are most vulnerable to the threat of toll fraud.
Industries and businesses at risk
1. VoIP Users
Volume: High
Fraudsters frequently target VoIP users. Because of its digital nature, VoIP software is more prone to manipulation than other telecommunication methods.
2. Users of premium-rate numbers
Volume: Very high
Businesses using premium-rate phone numbers are vulnerable to toll fraud. Fake helpline numbers are designed to charge callers more than they would pay if they directly called any other number. Fraudsters redirect callers to these helplines and collect the revenue.
Examples: adult chat lines, tech support lines, interactive voting systems
3. Companies with international call facilities
Volume: Medium to high
Remote or international businesses, as well as those who are in the habit of making calls overseas, fall under the high-risk category as well. Fraudsters divert these calls to the high-cost destinations of their choice to pocket a maximum of the bogus billing payments.
For example, a U.S. tech company discovers that its phone system has been hacked, with all calls being redirected to premium-rate numbers in Latvia and the Maldives. Overnight, the sudden surge in international calls reveals significant financial misuse. This anomaly allowed the breach to be detected quickly.
4. High-risk geographic locations
Volume: High
Fraudsters direct calls mainly to countries that are known for their comparatively expensive rates. Cuba, Estonia, Lithuania, Somalia, and Zimbabwe are a few popular options for toll fraud.
How to prevent toll fraud
Plivo offers robust fraud control through Verify API for businesses to shield their operations. With built-in Fraud Shield, Plivo’s tools for limiting the risk of toll fraud can significantly help your business at no additional cost. Here’s how Fraud Shield works.
Usage triggers
Statistically, large volumes of calls or SMS messages are strong indicators of fraudulent activity. Tracking these usage triggers is the first step to detecting and preventing toll fraud.
Plivo’s console has tools for users to review voice and SMS usage, react to unusual patterns, and initiate investigations.
Best Practices:
- Define usage allocations based on your business needs. For instance, if your application sends a one-time password (OTP) to a user account for two-factor authentication, you might limit the number of OTPs to one within a specific period (such as one OTP per user per 15 minutes).
- Track outgoing and incoming calls and text messaging activities for any sudden or unusual increases or changes in patterns.
Geographic Permissions
Toll fraud can be reduced by restricting call destinations. Through the Plivo console, geographic permissions can be managed and users can specify the countries that can process their outgoing calls.
Best Practices:
- To manage location permissions, click on Voice > Geo Permissions from the Plivo console. Find the countries you’re looking for on this list. You can narrow the list of options by checking certain geo-spatial regions or countries as needed.
- Clarify permissions that align with your business and limit direct calls to risky countries unless only when necessary.
Custom Prefix Blacklist
A blacklist of prefixes related to high percentages and fraud helps detect attempts at unrecognized use. Plivo follows an evolving list of risky prefixes that include the rate of calls, trends detected by third-party entities, and more. These characteristics can be used to make your phone system more secure.
Best Practices:
- From the Plivo high-risk screen (pictured below), follow the prompts to export the latest risky prefix list.
- Include these prefixes in the system’s blacklist feature to automatically stop the number of calls when it reaches a certain threshold.

High-Risk Permissions
By tweaking permissions in the Plivo console, you can limit access to phone calls and messages that pose a high risk. These controls include banning outbound calls to numbers for revenue sharing.
Best Practices:
- Publish and regularly update a list of high-risk areas from Plivo's Voice > Geo Permissions > High-Risk Permissions screen. The SIP filter blacklist provided by Plivo details more than a thousand of these expensive rates and higher-risk prefixes.
- Formulate rate limits to check the volume of outgoing calls and messages and avoid traffic from formidable amounts to high-risk destinations.
- Create voice verification functions and two-factor authentication to better identify real customers and block undue service use.
Prevent toll fraud with Plivo’s Fraud Shield
Plivo's Fraud Shield protects businesses against the negative impacts of toll fraud. Multiple security layers and continuous monitoring reduce the chances of unintended use of communication services that cause losses.
Key features of Plivo's Fraud Shield

- Real-time traffic monitoring: Plivo sends notifications in real time, allowing the detection of anomalous patterns that could indicate fraud. This feature is a decisive parameter for detecting and handling possible threats.

- Customizable thresholds: Call management systems allow businesses to set definite durations, intervals, and destinations for calls. Users can specify the parameters of normal activity for their particular operations. If all of the thresholds are exceeded, Plivo sends an alert.

- Geographic and prefix restrictions: Users can restrict calls to high-risk countries or with high-cost prefixes and edit them individually from the Plivo console.
- Automated blocks and alerts: Plivo can generate real-time alerts on suspicious activities and automatically take appropriate action to block an identified threat. This method effectively blocks unauthorized use while preventing overall losses.
- Detailed reporting: Plivo generates rich reports for businesses to study call patterns and examine whether the existing strategies to curb fraudulent activity are effective. With this detailed analysis, it may be possible to adjust settings and develop more robust security measures for the future.
Begin your free trial today to experience how our range of tools can safeguard your business from toll fraud.
Enhancing Data Privacy: Advanced Message Data Storage Options
Discover Plivo's new data storage options for SMS, MMS, and WhatsApp messaging, designed to ensure compliance with GDPR and HIPAA while meeting your unique business needs
Data storage in the context of SMS/MMS/WhatsApp involves recording and storing messaging data, including recipient information and message content. Companies often use SMS/MMS/WhatsApp data storage to track communication with clients or for internal monitoring purposes.
However, data storage is subject to privacy regulations such as GDPR or HIPAA. So organizations processing third-party personal data are required to implement privacy controls, such as message content storage redaction.
Plivo's Enhanced Data Storage Options
To address this we're thrilled to introduce new comprehensive data storage options for SMS, MMS and WhatsApp messaging. This empowers Plivo customers to fine-tune their data storage preferences, aligning with regulatory requirements and their unique business needs.
Customizable Data Storage Preferences for Messaging
Outbound Messages
Plivo now offers four custom data storage preferences, enabling customers to personalize the handling of their outbound messaging data in alignment with global data protection standards and business needs.
The preference for data logging of outbound messages is set as a parameter in the Send Message endpoint and is applied at the message level. The four available settings for modifying content storage preferences include:
Illustrative Example of Data Storage Options
Consider a message with the destination number '+12025550123' and content: 'Hello, your appointment is confirmed for tomorrow at 3 PM.' processed under each storage setting:
Important Note: Message content redaction prevents Plivo from troubleshooting or retrieving messages in case of issues. The default setting is to store both the number and message content, ensuring outbound messages are fully retained unless the log parameter is explicitly set to ‘false’.
Inbound Messages
Similarly, for inbound messages, customers can specify their storage preferences, which are configured at the application level. The available settings for inbound messages are:
Important Note: If inbound messages are redacted, Plivo cannot debug or recover message content if there are any issues with the callback URL.
Default Settings for Outbound and Inbound Messages
Standard policy ensures the accessibility of outbound message content for 7 days and destination numbers for 90 days. After this period, both message content and numbers are stored in compliance with GDPR. This policy similarly applies to inbound messages, facilitating content and number access under the same terms.
These features depend on the selected storage settings and are available unless message data has been redacted. Users can explore this data via the Messaging Logs section of the console — with options to review a specific timeframe or search a UUID to retrieve message details.
Discover more about our message log redaction processes in our developer documentation.

Plivo’s WhatsApp API: Onboarding Made Simple
Learn how to set up your WhatsApp Business API with Plivo. This guide covers everything from account registration to sending your first message effortlessly.
Plivo’s WhatsApp Business API makes sending and receiving WhatsApp messages easy. Getting started is simple — even for non-technical users. Here’s how to onboard your WhatsApp Business Account (WABA), register your number, and send messages in seconds.
Meet the prerequisites
There are several prerequisites you must meet to begin using our API. Before you can send your first message, check these steps off your list.
- Sign up for a Plivo account if you haven’t already done so. We’ll give you some credits to use when you’re first starting out. Once you’ve used them, set up your payment details to ensure your account always has funds.
- Log in to the Facebook account with access to your company’s Meta Business Manager. To add a WABA with Plivo, the Facebook account should have the “Full Control” access level of the company’s Meta Business Manager.
- Make sure you have a phone number that can receive a one-time passcode (OTP) either via SMS or voice call without an IVR
Step 1: Connect your WhatsApp Business Account with Plivo
Next, create a new WABA or link an existing WABA via the WhatsApp landing page on the Plivo console. This will open Meta’s embedded signup flow that will take you through the following steps to connect your WABA with Plivo.
- Log in to Facebook and select Continue
- Select your business
- Select an existing WABA or create a new one. Note that if you select an existing WABA, it will be delinked from any previously connected business service provider (BSP).
- Name your WABA account. The name you use will not be visible to your messaging audience. It should match or closely align with your registered business name with regional identifier (if any). Avoid using special characters and abbreviations.
- Set the WhatsApp Business Display Name. This name is visible to your messaging audience. Therefore, it should match your company’s name as closely as possible and adhere to the WhatsApp Business Display Name Guidelines.
- Select the business category
- Enter a phone number and verify with an OTP
- Click Continue, and you’re ready to go. Select Finish.
Step 2: Verify that Meta onboarding was successful
Once you’ve completed the first step, the WABA will be shown in your Plivo console. Verify that onboarding was successful by visiting the Business Settings of your Meta Business Account, and clicking on WhatsApp Accounts. Go to the Partners tab. You should see Plivo included on your partners list.
Step 3: Create a WhatsApp Template for approval
Meta requires you to use approved templates to initiate WhatsApp messages to your audience. Go to the WhatsApp Template Management page on Meta and create a template. Choose the best fit from Meta's list of templates according to your business needs.
Note that the message template determines your conversation type, which also determines how you will be charged. Meta charges different fees for different types of conversations. Expect Meta to take up to 24 hours to approve new templates.
Once the template you’ve created is approved by Meta, use the “Sync Templates from WhatsApp” function in your Plivo console to fetch the template details.
To successfully configure WhatsApp Channel in Plivo Verify, you will need at least one approved “Authentication Template” in your WhatsApp Manager.

Step 4: Send your first WhatsApp message!
When your template is approved, you’re all set to use our API to send your first message. Create a file called send_whatsapp.js and paste into it this code.
Customize the code with the following changes:
- Replace the auth placeholders (such as <auth_id>) with your authentication credentials that can be found on the Plivo console.
- Replace the phone number placeholders with your phone number in E.164 format (for example, +12025551234).
- src should be the phone number registered for your WhatsApp Business Account.
- dst should be the recipient's WhatsApp number.
Note that WhatsApp templates support four components: header, body, footer, and buttons. When you send messages, the template object you see in the code acts as a way to pass the dynamic parameters. header can accommodate text or media (images, videos, documents) content. body can accommodate text content. footer cannot have any dynamic variables.
That’s it - you’re all set to start using Plivo’s WhatsApp API. To learn more about Plivo’s WhatsApp API, please refer to our developer resources or reach out to our support team.
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Create your account and receive trial credits or get in touch with us.