
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.
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Top 8 AI voice agents for sales in 2026
Compare the leading AI voice agents for sales, and see how Plivo can automate conversations, qualify leads, and scale customer engagement.
In today’s world where instant gratification has become the norm, most B2B buyers still prefer phone conversations for complex sales discussions, a majority of them expecting immediate responses. In such a scenario, enterprise sales teams face a dilemma: phone calls drive conversions, but hiring enough reps to cover qualification calls, follow-ups, and after-hours requests quickly becomes unsustainable.
AI voice agents solve this by automating high-volume tasks while maintaining the personalized touch buyers expect. They offer 24/7 lead qualification, instant responses, and unlimited scalability without expanding headcount.
This guide evaluates 8 leading AI voice platforms for sales teams based on several key factors, helping you identify the right solution for your sales operation.
Why businesses need AI voice agents for sales
Apart from taking calls, AI voice agents make your organization more than efficient because they scale your organic conversation without getting tired. Here are a few use cases for AI voice agents in sales that not only streamline your sales process but also identify emerging trends in customer behaviour and accordingly nurture relationships with potential leads.
Automation of Repetitive Task
Taking calls round-the-clock while maintaining all data simultaneously can eventually become intimidating for sales teams. AI voice agents can automate such tasks, allowing reps to redirect their energy toward higher-level opportunities.
Delivering Tailored Interactions
AI voice agents can be very versatile while answering customers, giving responses tailored to their needs and preferences. It’s a given that personalization plays an essential role in customer retention.
Predicting Customer Behaviour
AI agents aggregate customer data from multiple touchpoints. Sales teams can then use these insights to anticipate customers’ needs and proactively engage them with highly relevant product recommendations or targeted offers.
Cost Reduction
Voice agents can significantly reduce your operational costs by handling a high volume of queries without requiring additional human resources.
Scalability
AI voice agents can effortlessly manage growing volumes of customer interactions, making them perfect for businesses aiming to expand while maintaining high service standards.
Quick Overview of the top AI Voice Agents for Sales
8 Best AI Voice Tools For Sales
1. Plivo
Best For: Businesses looking for reliable automation for key customer moments during sales calls, prioritizing performance, uptime, and global connectivity.
Plivo is a voice-first, AI-native communications platform built for organizations that want to operationalize AI agents in real customer environments, not just pilot projects. Unlike fragmented solutions that require stitching together telephony vendors, orchestration layers, and messaging APIs, Plivo delivers a single-stack environment that unifies voice, SMS, WhatsApp, chat, and email into one production-ready platform. For enterprises evaluating platforms at the decision stage, the differentiator is not just intelligence; it’s whether conversations feel real at scale.
In AI voice automation, especially for sales, timing matters as much as reasoning quality. Most AI pipelines rely on ASR → LLM → TTS conversion, where each step introduces latency. Once response delays exceed ~400 ms (the ITU-T G.114 threshold), conversations become mechanical, and users disengage.
Plivo addresses this with live audio streaming over WebSockets, enabling AI agents to listen and respond in near real time while it manages the telephony infrastructure. This architecture allows organizations to plug in their LLM models without reworking the calling layer, future-proofing AI investments as models evolve.
One of the major advantages of using Plivo is its support for the entire lifecycle of customer engagement, with 24/7 automated, natural-sounding interactions. The platform offers extensive global reach across 190+ countries, enabling businesses to scale sales without increasing headcount.
What makes using Plivo interesting is its ability to handle all your customer requests without you being involved at the front desk. Its natural language builder (Vibe) enables teams to set up integrations and get them test-ready in minutes. Plivo's single-stack approach significantly reduces latency and improves reliability, delivering 99.99% uptime and compliance with standards such as HIPAA, GDPR, and PCI DSS.
Key Capabilities
- Build agents in minutes: Teams can quickly build AI voice agents with Vibe, with no coding required.
- Effortlessly troubleshoot voice agents: The platform enables you to self-troubleshoot common tech queries using its knowledge base, and only routes complex cases to humans.
- Quick customization: You can edit workflows, add rules, and personalize responses as needed.
- Pre-built templates: Plivo allows you to kickstart faster with customizable templates for support, sales, bookings, and more.
- Omnichannel engagements: Your sales team can take action at the right moment across every channel.
- Personalized AI agents: The platform makes it extremely easy to train agents on your knowledge base, FAQs, and brand guidelines so they respond like your team.
- Real-time analytics and observations: You can monitor performance, simulate conversations, and refine agent behaviour in real-time
Pros
- Built-in telephony: Native phone numbers, global connectivity, and SIP trunking without dependence on external carriers.
- Reduced latency: Owning the telephony infrastructure eliminates the need to hop to third-party carriers, ensuring faster response times.
- Seamless scalability: Start with a small no-code workflow and scale to a fully programmable production system without rebuilding.
Pricing
Plivo offers pay-as-you-go pricing on our Professional plan with no monthly commitment, while Enterprise plans start at $1,000 per month for teams that need higher scale and dedicated support.
2. Lazr.AI
Best For: Teams looking for turnkey solutions with minimal setup.
Lazr’s pre-built voice platform offers robust and flexible deployment options. Instead of building voice workflows from scratch, the tool offers 40+ pre-configured agents designed for specific inside sales functions. Teams can deploy specialized agents for lead list building or call recording analysis within minutes. The platform’s dual deployment model makes it suitable for security-conscious enterprises.
While the pre-built agents are powerful, customization beyond their designed parameters may require technical expertise. The platform focuses more on agent deployment than complete workflow automation.
Key Capabilities
- Get 40+ pre-built sales agents for ICP generation, AI dialling, and call analysis.
- Offers voice agent builder with natural language commands
- Comes with dual deployment options (SaaS or on-premise)
- Offers enterprise-ready integrations with 250+ LLMs
Pros
- Quickly build AI agents using a low-code/no-code interface.
- Get enterprise-grade security with on-premise and private cloud deployment options.
- Focuses on providing necessary guardrails and infrastructure.
Cons
- Lacks advanced customization options for complex AI implementations
- Fewer community-driven resources compared to more established platforms.
Pricing
Custom pricing based on deployment model (Cloud vs On-Premise) and agent usage.
3. PolyAI
Best For: Businesses looking to scale, multilingual voice AI solutions for customer service.
As one of the top conversational platforms, PolyAI specializes in creating lifelike voice assistants for enterprise customer service. Unlike other AI voice tools, PolyAI started with text; it specializes in voice. The tool mainly focuses on handling, understanding, and resolving issues in phone calls, including managing interruptions, accents, and emotional language.
While PolyAI utilizes its own speech recognition engine, it enables sales teams with high-quality, conversational, context-aware, and on-brand dialogue. The platform offers 45+ languages, enabling teams to integrate into their existing systems.
Key Capabilities
- Conversational AI agents quickly handle complex customer enquiries.
- Supports more than 45+ languages with natural voice and tone.
- Easy plugin options with existing CRMs and telephony systems.
- Provides omnichannel support, including voice, chat, and SMS.
Pros
- Reduce wait time and provide 24/7 support.
- Handles sudden spikes in call volume effortlessly.
- Resolves 87%+ of customer service calls end-to-end.
Cons
- A real-time dashboard needs either sentiment analysis or granular call-path tracking.
- Pricing is not publicly disclosed, so direct sales consultation is required.
Pricing
For some configurations, pricing ranges from $0.09 to $0.15 per minute; however, contracts start at $150,000+ per year.
4. Vapi AI
Best For: Businesses that need customization and integration with existing systems to handle high volumes of concurrent calls.
Vapi is a developer-focused AI platform that enables businesses to create highly customizable voice agents. Apart from handling both inbound and outbound calls, Vapi enables near real-time voice interactions—responding in 550 to 800 milliseconds.
Designed as an API-first platform for building AI phone agents, it is a popular choice among teams that need fully programmable, flexible AI phone agents for sales. But using Vapi does require technical knowledge; it is best for organizations with in-house development teams.
Key Capabilities
- Real-time orchestration for low latency (sub-600ms)
- Flexible integration with STT, TTS, and LLMs
- Create squads of specialized bots for complex workflows.
- Support telephony and web integrations
Pros
- Allows you to tailor every component of the voice experience.
- Offers real-time processing for fast and natural conversation
- Scales to handle a high volume of calls
Cons
- Requires significant technical expertise; not a low-code solution.
- Building and maintaining reliable, high-performing bots is time-consuming.
Pricing
Vapi follows a pay-as-you-go model, starting at $0.05 per minute.
5. Cognigy
Best For: Sales teams who need deep conversation analytics, automated QA, and AI-powered coaching to improve existing performance.
As an enterprise-grade Conversational AI platform, Cognigy is designed to automate and enhance customer service experiences across voice and chat channels. The platform uses Large Language Models (LLMs) and Generative AI to create agents that understand context and memory, and make real-time decisions.
As a specialised tool that bridges the telephony system with the voice gateway, Cognigy's low-code flow editor is perfect for designing complex, multi-channel conversations. The tool is best suited for medium to large enterprises seeking to implement advanced AI-driven customer service solutions across multiple channels.
Key Capabilities
- Allows companies to maintain high compliance while utilising AI.
- Offers enterprise-grade security with GDPR compliance.
- Offers 100+ integrations with existing CRMs and CCaaS systems.
- Specially designed for high-volume enterprise environments.
- Allows AI agents to ingest internal data, reducing the need for manual FAQ.
Pros
- Offers top-tier conversational AI and generative AI capabilities
- Low-code/no-code option for quick flow creation
- Seamless integration with CRM, ERP, and backend systems
- Offers omni-channel services, including chat, SMS, and calls.
Cons
- Implementation takes 2-4 weeks.
- Building complex custom extensions can be difficult for non-technical users.
- Requires significant cash, making it unsuitable for small businesses.
Pricing
Cognigy starts at around $2,500/month for lower usage, but for full deployments it often starts at $300,000.
6. Lindy
Best For: Businesses of all sizes seeking to automate routine tasks.
As a versatile voice AI agent, Lindy primarily automates a wide range of business tasks, including scheduling meetings and drafting emails, managing CRM updates, and conducting phone calls. With its no-code tool builder, Lindy has become popular in building custom AI agents tailored to the specific workflow needs. Lindy is primarily built as an internal workflow automation tool for business process automation and task orchestration. However, it does require additional support for real-time customer interaction.
Key Capabilities
- The tool can quickly scan prospects based on predefined criteria and populate your CRM.
- It drafts personalized messages to research prospects and provide richer insight.
- It acts as an inbound sales agent, responding to inquiries and answering FAQs.
- It automatically assigns qualified leads to the appropriate sales rep and notifies them.
Pros
- Capable of handling end-to-end sales tasks.
- Extensive integration for automatic data logging.
- Offers a high volume of sales tasks easily.
- Allows non-technical sales staff to build complex queries using natural language.
Cons
- It is not optimized for high-volume, real-time voice conversations.
- Its learning curve requires time to master complex flows.
- Uses a credit-based system where complex tasks can consume credits rapidly.
Pricing
Lindy offers only 400 credits monthly with access to Agent Builder, Lindy Build, and a 1M character knowledge base. However, the pro plan starts at $30–$50/month, depending on the usage.
7. Bland AI
Best For: Primarily designed for enterprise and technical teams that need to automate high-volume phone calls.
Bland AI is an enterprise-grade AI voice tool that supports inbound calls. Although the tool claims its agents sound like humans, it unapologetically supports technical teams. Teams can design pathways to keep conversations on script and aligned with defined objectives.
Businesses can use the drag-and-drop builder and run prompts in real time. This makes it ideal for teams that want to deploy a sales tool quickly without a developer. Even teams can clone voices from short audio samples and run thousands of calls concurrently using dedicated infrastructure.
Key Capabilities
- Agents can quickly handle thousands of concurrent calls for cold calling and qualifying leads.
- It makes sure that inbound sales inquiries are answered instantly, even after hours.
- The platform connects with platforms like HubSpot and Salesforce, triggering calls based on CRM events.
- It offers real-time interactions, book appointments, and send follow-up SMS.
- It offers 24/7 coverage, instantly engaging inbound leads, and improving conversion rates.
Pros
- Highly capable of managing large batches of inbound and outbound calls.
- Teams can effortlessly customize tone and voice for a more dynamic conversation.
- Quick, ~800ms latency allows for natural conversation flow.
- Supports custom LLMs, voice cloning, and deep CRM integration.
Cons
- Requires an engineer or developer to set up and maintain the tool.
- Costs can spike with failed calls or high-volume calls.
- Offers limited support to businesses.
- Sometimes, there are hidden costs apart from base rates.
Pricing
Bland AI follows a usage-based pricing model; however, it starts at $0.09 per connected minute for actual call time and interactions.
8. Synthflow
Best For: Small to medium-sized businesses looking to automate customer interactions.
Synthflow AI is a no-code conversational voice AI platform designed to automate inbound and outbound sales. It enables businesses to build and deploy AI-powered voice assistants for automating phone calls.
The tool acts as an automated sales rep, initiating calls, nurturing leads, and answering questions in real-time. Synthflow integrates with 9,000+ apps via Zapier and natively with major CRMs, ensuring call data, summaries, and recordings are automatically logged.
Key Capabilities
- Handles unlimited, parallel calls, ensuring no missed opportunities.
- With 24/7 response times, it significantly improves lead qualification speed.
- Uses advanced voice synthesis for natural, human-like conversations.
- Agents can schedule, reschedule, or cancel meetings directly.
Pros
- Effortlessly create voice agents without developer resources.
- Seamless integration with HubSpot, GoHighLevel, and other CRMs.
- Offers faster setup for immediate sales use cases.
- Offers white-labelling to resell AI agents.
Cons
- Challenges in latency and response time.
- Offers limited customization with the tool.
- Occasional support for lower tier users.
Pricing
Synthflow uses a tiered subscription model, often including pre-paid minutes, with costs decreasing as you scale.
Try Plivo For Free
In 2026, buyers are looking for immediate response, personalized engagement, and seamless conversation- something sales teams are struggling with today. Partnering with an AI voice agent platform like Plivo helps bridge this gap by automating first-touch interactions, qualifying leads faster, and ensuring no opportunity is missed due to delays or resource constraints.
You can automate conversations across channels such as voice calls, SMS, WhatsApp, and web chat from a single dashboard without switching platforms. Using its no-code builder, teams can design, test, and optimize AI-driven workflows while maintaining brand behaviour and business logic.
Starting with a free trial gives you the flexibility to validate performance, reliability, and fit before deciding how extensively you want to adopt the AI voice tool across your business.
Start your free trial and build your first AI voice agent experience today.
FAQs
What is an AI Voice Agent for sales?
AI voice agents for sales are autonomous systems that streamline sales processes throughout the customer journey. Unlike traditional chatbots, these intelligent agents plan, reason, and act independently, often coordinating with other agents or systems to complete complex workflows.
How do AI voice agents work for sales?
AI voice agents work by capturing speech, converting it to text, and then using Natural Language Processing (NLP) to understand the user's intent. The system then uses a dialogue manager to decide on the appropriate action or response, which is generated and converted back into natural-sounding speech for delivery to the user.
Can AI voice agents replace human agents in a sales team?
AI voice agents can’t fully replace human agents, as in most cases, they serve as the first point of contact. These agents are best suited for FAQs, scheduling, and basic troubleshooting, and routing complex tasks to human agents.
Does your team need a no-code or a developer-first platform?
If you have a team with little to no technical knowledge, then scaling with a no-code platform is easier. However, with a team that has engineers by your side and needs deep customization, a developer-first platform gives you more flexibility.
How important are voice quality and response speed for your sales team?
Natural speech and tone matter more because they significantly shape callers' experience. If the AI sounds robotic or pauses too long, it can reduce trust and engagement, especially in customer-facing roles like sales.
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Best Platforms to Build AI Voice Assistants in 2026
Learn about the best AI voice assistant platforms for 2026 for developing robust AI voice assistants. Compare Plivo, Vapi, Retell AI, and other platforms, including their features, advantages, and specifications.
In today’s business landscape, AI voice assistants are already a key part of customer experience. They can cut call wait times dramatically and handle routine questions quickly. Yet many businesses still rely on manual phone support or siloed chatbots. Customers often switch channels but expect a single, seamless conversation. For example, a user might start on a website chat, later call support, and then get a follow-up SMS, but they see it as one conversation. If those systems aren’t connected, the context is lost and support slows down.
The solution is to use a modern AI voice platform that unifies channels and understands conversation context. These platforms use advanced speech recognition and natural language understanding so they can interpret what callers say. They then drive real-time actions like retrieving customer data or scheduling follow-ups. The following sections list some of the top AI voice assistant platforms today, each excelling in different ways, so you can pick one that fits your needs.
Key Things to Look for in an AI Voice Assistant Platform
- Real-Time Conversational Understanding - You need more than speech-to-text and canned replies. Look for strong natural language understanding (NLU) that can track context across the whole call, handle back-and-forth questions, and adapt answers based on what has already been said.
- Omnichannel Integration - Your customers do not stick to one channel. They may start on a phone call, continue on WhatsApp, reply to an email, and later open a web chat. The best platforms keep one shared conversation across voice, SMS, WhatsApp, chat, and email, so the context is never lost when a customer switches channels.
- CRM & App Integrations - A smart assistant is only as helpful as the systems it can talk to. It should connect to your CRM, helpdesk, booking tools, payment systems, and internal APIs. This lets the assistant actually do things like fetch orders, update tickets, schedule appointments, qualify leads, and trigger workflows instead of just “answering questions.”
- Context Awareness & Memory - A good assistant remembers what was said five minutes ago, but a great one remembers what happened in previous calls too, when it is safe and allowed. Look for session memory, access to customer history, and clean human handoff where the whole transcript and context flow to a live agent so the customer never has to repeat themselves.
- Latency and Reliability - Voice calls feel “off” when the response is even a little late. Anything slower than a few hundred milliseconds starts to break the natural flow of speech. Choose platforms that are built on reliable telephony infrastructure, offer strong SLAs, and aim for end-to-end latency under about 300 milliseconds so conversations feel natural and human.
The Best Platforms for Building AI Voice Assistants in 2026
Plivo
Plivo is a full-stack, AI-first communications platform that combines carrier-grade telephony with modern AI agents across voice, SMS, WhatsApp, chat, and email on a single, unified layer. It is built for teams that want reliability and intelligence in the same place.
Instead of treating the AI voice assistant as a bolt-on, Plivo treats it as part of your entire customer communication fabric. Your agents, your AI, and your channels all sit on top of the same global infrastructure and data layer.
Key Features and Capabilities:
- True omnichannel orchestration - Plivo lets you serve customers on voice, SMS, WhatsApp, web chat, and in-app chat from one platform, with a single view of each conversation. Context travels with the customer across channels, so they do not have to repeat details when they move from a phone call to a message thread.
- AI voice agents with ultra-low latency - Plivo’s AI voice agents are designed for real-time conversation, with very low response times so calls feel natural and uninterrupted. Its global points of presence keep audio paths short, which reduces lag and keeps interactions smooth.
- Choice of AI stack (LLM, STT, TTS) - You can plug in leading speech-to-text, language models, and text-to-speech providers like Deepgram, OpenAI, and ElevenLabs. This makes it easy to tune your assistant for your use case, whether you care most about accuracy, style, or cost.
- No-code and API-first together - Non-technical teams get visual, drag-and-drop journey builders and no-code tools to launch AI agents without writing code. Developers get clean APIs and webhooks to embed Plivo into complex backends and custom workflows.
- Deep CRM and app integrations - Plivo connects to popular CRMs, helpdesks, and commerce tools such as Salesforce, HubSpot, Zendesk, Shopify, and many other API-based systems. This allows AI agents to read and update customer records, orders, tickets, and more in real time.
- Reliability, scale, and security - Plivo runs on a proven global carrier network with 99.99% uptime and fast failover, keeping your lines available even during spikes and outages. It offers enterprise-grade security and compliance controls, including strong encryption and support for strict regulatory environments like finance and healthcare.
- Analytics, QA, and coaching - You can monitor live metrics, analyze historical calls, and track performance across agents (human or AI) to keep improving service. Features like call summaries, notes, and real-time coaching help teams learn from every interaction.
Why Plivo Is the Best Choice in This Category:
- One platform for both voice AI and omnichannel CX - Most tools in this space either are great telephony pipes or they are great AI agents. Plivo is built to do both. It works as your backbone for voice and messaging while also giving you AI agents that can answer, act, and escalate across all your key channels. This means you do not have to wire together separate providers for telephony, AI, and omnichannel support, which lowers complexity and integration risk.
- Works for small teams and large enterprises alike - Smaller teams can launch quickly using no-code builders, templates, and self-serve setup. As they grow, they can layer in custom integrations, advanced routing, and strict controls like role-based access, data residency, and detailed audit logs that larger organizations expect. This makes Plivo a platform you can start with early and keep as you scale, instead of outgrowing it in a year or two.
- Strong ROI and cost control - Plivo’s AI voice agents and global infrastructure are designed to reduce operational costs by handling routine calls at scale while keeping call quality high. Its pricing and efficiency can cut voice automation costs by up to about 40% compared with many legacy setups, especially when you factor in fewer missed calls and shorter handle times. Because it connects directly to your CRMs, ERPs, and internal APIs, every minute on the line can do real work.
- Flexible use cases across industries - Plivo powers use cases like:
- 24/7 customer support agents that answer FAQs, reset passwords, and check order status.
- After-hours and overflow handling for busy contact centers.
- Appointment scheduling and reminders for healthcare, salons, and clinics.
- Lead qualification and follow-up for sales teams.
- Proactive notifications, alerts, and renewals for finance, logistics, and subscription businesses.
Because the same platform supports voice, SMS, WhatsApp, and chat, you can keep expanding your use cases without switching tools.
Best for: Teams that want an enterprise-grade, omnichannel foundation and AI voice agents in the same place, especially those who care about reliability, deep integrations, and long-term scalability.
Vapi
Vapi is the go-to choice for teams led by engineers because it behaves like a finely tuned playground for them to work with. Vapi is fast, modular, and programmable at its core. Instead of using a restrictive workflow builder, Vapi offers highly flexible APIs to integrate your preferred speech-to-text (STT) engine, large language model (LLM) engine, and text-to-speech (TTS) engine, allowing you to optimize every component of your voice stack.
It gets its name from providing extremely fast responses and real-time speech, which is perfect for the smart decisions that go into your conversations. Vapi also offers good call routing and analytics with webhooks that are used for call flows.
USP:
- Sub-200-millisecond Latency: By utilizing the capabilities of edge computing, the platform provides ultra-low latency support for seamless conversational experiences.
- Modular Voice Processing Pipeline: Organizations can choose their desired service providers for voice processing capabilities such as speech-to-text, language models, and text-to-speech, among others.
- Webhook-Driven Routing: The use of real-time webhooks allows the organization to specify the decision logic used in the call flow.
Best for: Vapi is best suited for organizations that are heavy on developers and require detailed customization and control so that they can create highly personalized voice interactions.
Retell AI
Retell AI is heavily invested in the areas of conversational accuracy, call quality, and analytics. As such, Retell AI is well-suited for large organizations and call centers that monitor and analyze each and every call they make and receive. It is developed to function under large workloads and large numbers of concurrent requests while remaining clear and responsive.
Another important feature of Retell AI is the focus on learning from live call data and adapting to real-world user behavior. Its adaptive voice models are built to improve over time according to how users speak and what they say. For organizations that handle thousands of calls per day, Retell AI becomes an optimization engine for voice interactions.
USP:
- Adaptive Voice Models: Retell AI’s voice models are continuously improved and adapted according to enterprise call traffic to increase intent recognition and overall accuracy.
- Production-Scale Analytics: Retell AI offers in-depth analytics of call success and failure points, agent performance, and overall compliance via detailed analytics and reports.
- Seamless Human Handoff: Should the need arise, Retell AI seamlessly transfers calls to human operators while maintaining call context and transcript so that customers are not asked to repeat themselves.
Best for: Large organizations and call centers that value analytics and optimization over time just as much as they value real-time call automation and bot interactions.
Synthflow
Synthflow is designed with teams in mind that want to use voice AI without having to do all that engineering work. The visual interface is designed to allow non-technical users such as operations managers, CX managers, or small business owners to create phone agents and flow in just a few hours instead of months. There is no need to wire everything together manually since Synthflow does this internally.
This allows users to create a no-code space that makes AI phone agents that they can test and deploy within just a few minutes. Synthflow is especially good for small teams that want to own their conversations without having to completely rely on developers.
USP:
- Visual No-Code Builder: Synthflow has a visual interface that enables users to create branching conversations without having to write any code.
- Instant Deployment: Synthflow enables users to create AI phone agents that they can deploy to live phone numbers with ease.
- Template Marketplace: Synthflow has pre-built templates that users can use to create flows such as appointment scheduling, order status checks, lead capture, among others.
Best for: Synthflow is particularly good for small businesses that want to have control over their voice conversations without having to do any heavy-lifting.
Cognigy
Cognigy describes its role as a full-scale solution for conversational automation, especially within an enterprise setting, which is particularly applicable to organizations with complex contact centers that offer voice and chat capabilities. The platform is not limited to a specific modality, as it aims to offer a unified layer of automation for artificial intelligence, encompassing telephone, messaging, and agent tools, along with analytics, quality, and human-AI collaboration.
One of the standout features of Cognigy is its support for multilingual automation, particularly in terms of serving global brands with operations in many regions and dealing with diverse customer bases with different accents and dialects. Its agent assist or “co-pilot” features also enable the use of AI alongside human agents, where the AI can provide suggestions and access conversation history in real-time, which can have a huge impact on improving the quality of customer service.
USP:
- Multilingual NLU
- Enterprise Analytics Dashboard
- Hybrid Collaboration
Best For: Large-scale businesses with operations in many regions, particularly those with contact centers that need a unified conversational automation solution with support for voice, chat, and agent assist in many languages.
ElevenLabs
ElevenLabs set out with the lofty goal of providing the most realistic text-to-speech available, and from there, they have continued to grow their capabilities in voice conversation. While they have many great features, ElevenLabs is particularly good in the area of voice quality, with expressive, emotionally driven, and highly customizable voices that can have the tone of the brand, character, or emotion desired, which is particularly useful in media, gaming, and education spaces.
For teams working on assistants that need to have a distinctly “on brand” tone, rather than sounding generic, the advanced voice cloning and multi-lingual capabilities of ElevenLabs are particularly compelling, as they allow brands to create their own unique tone while also minimizing latency.
USP:
- Hyper-Realistic Voice Cloning: The platform allows users to create custom voices with the ability to control the tonal characteristics, speaking rate, and emotional expressions of the cloned voice.
- Multilingual Voice Generation: The platform allows the creation of voice in various languages with naturalistic pronunciation.
- Low-Latency Streaming Text-to-Speech (TTS): The platform provides high-quality, real-time text-to-speech capabilities for the development of conversational agents.
Best for: Brands and content creators that take their assistants’ voice very seriously and want to offer the best voice quality for their users.
Bland AI
Bland AI is an API-centric and telephony-centric solution that provides a high level of control for programmers and developers. Rather than providing a heavy user interface that abstracts away the complexity of telephony and voice integration, it provides building blocks for programmers to implement telephony and voice integration.
The transparent nature of Bland AI also extends to pricing and customization models. This is particularly appealing to programmers and developers who do not like opaque pricing models and bundled solutions. Bland AI is best for situations that require voice integration to be extremely tight and deep within existing phone infrastructure.
USP:
- Telephony-Level Control: The platform provides programmatic access to the SIP and call flow, allowing the integration of the platform with the existing telephony infrastructure of the organization.
- Transparent Pay-Per-Use Pricing: The platform allows the organization to easily calculate the costs of the solution without the burden of high platform costs.
- Custom Voice Models: The platform allows the fine-tuning of the models based on the conversational data of the organization, allowing the agent to conform to the language and policies of the organization.
Best For: Infrastructure-centric teams with high volumes of telecommunications looking to deploy programmable AI over their existing telephone infrastructure.
Thoughtly
Thoughtly is centered on the concept of understanding what is happening on a call, rather than just handling it. Thoughtly's strength is in its speech analysis, sentiment analysis, and pattern recognition on high volumes of conversations, which is most valuable to operations teams, QA teams, customer success teams, etc., who want to understand trends they cannot understand through other means.
Instead of just handling calls, Thoughtly allows teams to understand how calls are going, how they are feeling, and what opportunities or risks exist within them. For teams who are already utilizing voice AI or human call center solutions, Thoughtly can now be used to further optimize these solutions.
USP:
- Real-Time Sentiment Analysis: Emotional tonality and customer satisfaction during the course of a call.
- Pattern Recognition Engine: Identification of recurring call-related issues, problems, and behavioral patterns in relation to high call volumes.
- Predictive Escalation: Identification of potentially problematic conversation paths and initiation of intervention measures before customer disengagement or churn.
Best For: Call centers and customer service teams that want to receive in-depth analytics of call quality, sentiment, and risk of AI-handled calls and human-handled calls.
Goodcall
Goodcall is designed with small businesses in mind, such as salons, clinics, local services, and independent operators who need help with phone operations but don't have the luxury of an in-house IT team or contact center. Rather than requiring you to design complex flows, Goodcall provides an out-of-the-box AI phone assistant that can answer phone calls, answer FAQs, and book appointments with little or no setup required.
For many businesses, the actual benefit will come from the fact that Goodcall serves as a 24/7 front desk assistant, catching calls, syncing calendars, and sending follow-ups even when the physical front desk is unattended. And because it’s specifically designed for the segment, it avoids the complexity and focuses on the aspects that really matter, answering, understanding, and scheduling.
USP:
- Zero Setup Deployment: Goodcall ensures that your AI phone assistant is ready to go in just a matter of minutes.
- Calendar Sync: The Goodcall platform integrates seamlessly with Google Calendar or Calendly. This allows your AI phone assistant to schedule meetings, reschedule meetings, or confirm meetings in real time.
- 24/7 Availability: The AI phone assistant can take phone calls around the clock. This ensures that you never miss a sale or an opportunity. The AI phone assistant will take voicemails and send follow-ups.
Best for: Goodcall is best for small and local businesses looking for a simple and reliable AI phone assistant for their business.
Conclusion
AI voice assistants are now a practical extension of your team’s front desk. When chosen wisely, they cut wait times, improve first-call resolutions, and let human staff focus on the hardest issues. There is no one-size-fits-all. If you need an enterprise-grade, multi-channel solution, Plivo is the most versatile choice today. If your approach is code-driven, Vapi or Bland AI give programmers maximum flexibility. For non-technical teams who want instant results, Synthflow or Goodcall let you launch voice agents in hours. Specialized platforms like Retell AI, Cognigy, ElevenLabs, and Thoughtly each excel at something unique.
In practice, start by listing your needs. Do you need deep CRM integration or ease of deployment? Multilingual support or branded voices? Then pilot a couple of platforms. For example, test Plivo or Synthflow for basic use cases like appointment booking, FAQs and measure improvements. The sooner you start using voice AI in your workflows, the sooner it feels like an effortless part of your business.
FAQs
How do AI voice assistants for business work?
AI voice assistants turn what the caller says into text, understand the intent, decide what to do, and then reply with natural-sounding speech. They use speech recognition (ASR), language understanding (LLM/NLP), and text-to-speech (TTS), and can also talk to your CRM or other tools to fetch or update data.
What are the main benefits of using an AI voice assistant?
AI voice assistants can answer routine questions 24/7, cut wait times, and handle many calls at once. This reduces workload for human agents, lowers costs, and helps customers get faster, more consistent answers.
Is an AI voice assistant worth it for small businesses?
Yes, even small businesses can benefit from an AI assistant that answers calls, books appointments, and captures leads when staff are busy or offline. Tools like Plivo, Goodcall, or Synthflow make it easier to start without a big IT team.
Which is the best AI voice assistant platform for omnichannel communication?
If you want one platform for voice, SMS, WhatsApp, chat, and email, Plivo is a strong option. It lets you keep a single conversation thread across channels instead of splitting context across many tools.
How much does it cost to use an AI voice assistant platform?
Most platforms use a pay-as-you-go or subscription model based on minutes used, number of calls, or number of agents. Costs also depend on which speech, LLM, and TTS providers you plug in and how many integrations you need. Checking pricing pages and running a small pilot is the best way to estimate your real cost per call.
Do I need coding skills to build an AI voice assistant?
Not always, no-code and low-code platforms like Synthflow and Goodcall let you build phone agents with visual editors. If you want deeper control, developer-focused tools like Plivo, Vapi, or Bland AI provide APIs so engineers can fully customize the experience.
Can AI voice assistants replace human agents?
They are better used as a first line of support. AI can handle FAQs, status updates, and simple workflows, while human agents focus on complex, sensitive, or high-value conversations. The most effective setups combine both, with smooth handoff from AI to humans.
What are the top use cases for AI voice assistants?
Common use cases include after-hours call handling, appointment scheduling, order tracking, password resets, lead qualification, outbound reminders, and proactive follow-ups. Industries like healthcare, retail, banking, logistics, hospitality, and SaaS all use AI voice agents for these tasks.
How do I integrate an AI voice assistant with my CRM or helpdesk?
Most modern platforms provide direct integrations or APIs for tools like Salesforce, HubSpot, and Zendesk. You connect your account, map fields, and then let the assistant read and update records (for example, creating tickets, logging calls, or updating contact details) automatically.
Is it safe to share customer data with AI voice assistants?
Reputable platforms use encryption, access controls, and compliance frameworks like GDPR to protect data. You should review each vendor’s security docs, data retention policies, and certifications, and configure what data is stored, masked, or deleted based on your internal policies.
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Top AI voice assistants for contact centers
Discover the best AI voice assistant platforms used in contact centers in 2026. Analyze the most popular platforms such as Cognigy, Retell AI, Vapi, Plivo, and more that are changing the way real-time, human-like customer service is delivered.
In 2026, contact centers are increasingly aided by AI-based voice assistants, which add to the efficiency and complexity of their operations. The AI voice assistants react to incoming calls in almost no time, enunciate speech clearly, and assist customers without any delay. By allowing contact centers to handle multiple calls simultaneously and assisting conversations in a friendly and natural way, they enable contact centers to handle a large number of calls effectively while maintaining a personalized customer experience.
Perceived as trustworthy digital assistants, AI voice assistants listen carefully, understand customers’ needs, and answer in a manner that is almost human-like. They also learn from previous conversations, which boosts improvements in subsequent conversations and assistance.
Platforms such as Retell AI, Cognigy, PolyAI, and Plivo provide solutions that facilitate call handling without losing the feeling that customers are indeed heard and assisted.
Platform choice goes beyond speed. Organizations need to evaluate how well the platform helps with workflow management, handling large volumes of calls, multilingual support, and insights that help improve services continuously.
This guide will review a number of the best AI voice assistant platforms that organizations in 2026 are using to provide faster, more reliable, and more human-like customer services.
What to Look For in an AI Voice Assistant for Your Contact Center
At this stage, you already know what AI voice assistants are. What you need now is a clear lens to compare platforms like Plivo, Cognigy, Retell AI, Vapi, and others and decide which one actually fits your contact center. Use these questions as a buying checklist:
Does it fit your existing contact center stack?
Focus on:
- Native or proven integrations with your ACD/IVR and CRM
- Support for your current routing logic (skills-based, queue-based, blended)
- How it handles agent handoff and screen-pop in your existing desktop
What is latency and call quality like under real load?
Ask vendors to show:
- End-to-end latency under load
- How they minimize hops between telephony, ASR, LLM, and TTS
- Whether they own their telephony stack (like Plivo) or rely on third-party carriers
How much control do you have over the AI stack and guardrails?
Decide:
- Do you want a managed “single vendor” stack, or do you want to pick and swap STT/LLM/TTS as your needs change?
- Can you enforce policies, tone, and escalation rules without re-architecting everything?
- How easy is it to update prompts, flows, and guardrails when compliance rules change?
Does it give you the analytics and QA depth you actually need?
Look for:
- 100% call coverage with scoring, not random sampling
- Real-time alerts on risk, sentiment, and compliance breaches
- Coachable outputs (scorecards, summaries, next-best-action) that your supervisors can use in 1:1s
How does it handle security, compliance, and data residency?
Check for:
- Support for standards like HIPAA, GDPR, PCI DSS, SOC 2, and regional data residency options
- Role-based access, redaction of sensitive data, and audit trails
- Where audio, transcripts, and model logs actually live and how long they’re retained
Is the pricing model aligned with how your volumes will really grow?
Understand:
- Whether pricing is per minute, per seat, per interaction, or a flat platform fee
- How costs behave at your next 2-3 scale steps (for example, 10%, 50%, 100% of calls)
- What happens when you add more channels (SMS, WhatsApp, chat) or more AI features
The Best AI Voice Assistant Platforms for Contact Centers in 2026
Below are the leading players shaping how enterprises are designing and deploying AI-driven voice contact centers worldwide.
Plivo
Plivo is a voice-first, AI-native communications platform that combines carrier-grade telephony with modern AI agents across voice, SMS, WhatsApp, chat, and email. For contact centers, it behaves less like a point tool and more like a backbone. It takes care of call delivery, identity, and reliability while letting your AI agents focus on actual conversations.
Unlike many AI tools that sit on top of someone else’s carrier network, Plivo owns and operates its entire telephony, messaging, and AI stack in one vertically integrated architecture. This cuts out extra hops, reduces latency, and gives you 99.99% uptime backed by strict compliance standards such as HIPAA, GDPR, SOC 2, PCI DSS, and more.
How Plivo fits into a modern contact center
In a contact center, Plivo can play three roles at once:
- AI front line: AI voice agents that answer and place calls, qualify intent, resolve common issues, and hand off to human agents with full context when needed.
- Omnichannel glue: A shared context layer across voice, SMS, WhatsApp, and chat so a customer’s journey feels like one continuous conversation.
- Telephony backbone: Global phone numbers, SIP trunking, call routing, caller ID, STIR/SHAKEN, and CNAM handled by Plivo’s own network rather than fragile third-party carriers.
Key capabilities for contact centers
- Carrier-grade telephony built in - Plivo provides native numbers, routing, recording, SIP trunking, and global connectivity across many countries, all within its own network. Because it does not outsource this layer. You get more consistent call quality, lower latency, and fewer moving parts to debug when something goes wrong. On top of that, features like verified caller ID, CNAM, and STIR/SHAKEN support help you avoid spam labeling, especially in outbound and blended environments.
- Real-time audio streaming and low-latency AI - Plivo streams live call audio over WebSockets to your AI runtime, which means your ASR, LLM, and TTS can respond quickly enough to support natural interruptions and turn-taking. This is critical in contact centers where even a few hundred milliseconds of extra delay can make calls feel robotic or “laggy” under real-world concurrency.
- No-code AI agent builder (Vibe) plus full APIs - Non-technical CX and operations teams can use Plivo’s Vibe builder to spin up AI agents using plain-English instructions and visual workflows. You define the goals (for example, handle billing calls, reschedule deliveries, qualify leads), and Vibe translates that into call logic. At the same time, your engineering team still gets full control via APIs and webhooks if you want to orchestrate complex flows, integrate custom models, or plug Plivo into an existing CCaaS stack.
- Multi-channel AI agents with shared context - The same business logic can run across voice, SMS, WhatsApp, and chat, which is particularly important for contact centers that see customers switching channels mid-journey. A customer might start with a chat on your website, follow up via phone, and receive an SMS confirmation after the call. Plivo keeps that context unified so the AI and human agents do not treat it as three separate issues.
- Deep integrations with CRMs, helpdesks, and internal systems - Plivo exposes clean APIs and webhooks for you to read and write data to CRMs (Salesforce, HubSpot, etc.), helpdesks, booking systems, and in-house tools in real time. That means your AI agents can:
- Pull customer profiles, orders, and tickets during a call
- Log outcomes, summaries, and dispositions directly into your system of record
- Trigger downstream workflows like refunds, escalations, or follow-up tasks
- Security, compliance, and enterprise controls - Because Plivo is used in finance, healthcare, and other regulated industries, its stack is built with compliance in mind with encryption, audit logs, data residency options, and certifications like HIPAA, GDPR, PCI DSS, SOC 2, and more. Enterprise teams also get features such as role-based access control (RBAC), environment versioning, and audit-ready transcripts, which are important when legal and security teams are involved.
Why contact centers choose Plivo over other platforms
- End-to-end control over the voice path - For high-volume centers, call quality and latency are the difference between a successful rollout and a failed pilot. Because Plivo owns its telephony and streams audio directly, you have fewer failure points and tighter control over performance.
- Scales from pilot to multi-region rollouts without switching tools - Smaller teams can begin with a narrow use case (for example, after-hours support or one queue such as billing) using Vibe and basic integrations. As volumes and complexity grow, they can layer in advanced routing, multi-channel orchestration, and custom AI stacks without migrating away from Plivo.
- Works for both AI-first and hybrid models - Plivo supports clean handoffs to live agents with full context, so it fits organizations that want AI to handle front-line traffic and those that want AI to support human agents rather than replace them. This flexibility matters if your strategy is to start with partial automation and phase in more over time.
- Transparent, usage-based economics - Plivo offers pay-as-you-go pricing for voice and messaging, with enterprise plans starting around the $1,000 per month range for teams that need higher scale and dedicated support. That makes it easier to run meaningful pilots and scale based on real ROI instead of committing to a large, upfront platform fee from day one.
What makes Plivo stand out from the rest of the platforms
Core Advantages:
- Global direct carrier connectivity with 99.99% uptime and built-in STIR/SHAKEN, CNAM, and compliance support.
- Native multi-channel AI agents across voice, SMS, WhatsApp, chat, and email with shared context.
- Combination of no-code (Vibe) and developer-first APIs so both ops leaders and engineers can work on the same platform.
Pricing:
Usage-based pay-per-minute and per-message pricing with a free trial and credits to test real use cases. Enterprise plans start around $1,000/month for higher-volume, higher-support needs.
Perfect for:
Contact centers that want carrier-grade reliability and omnichannel AI in one place, and that expect to scale from a focused pilot to a global deployment without constantly changing vendors.
Cognigy
Cognigy describes itself as an enterprise automation framework for voice and chat, helping large enterprises in providing multilingual, omnichannel, human-AI collaborative experiences. The firm’s solution enables strong telephony infrastructure, customer relationship management, and agent assistance tool integration.
Core Advantages:
- 40+ Languages with Regional Accents
- Real Time Agent Assist (Next-Best-Action)
- 360° Conversation Analytics Dashboard
Pricing: Enterprise licensing ($50K+/year)
Perfect For: Global enterprises with hybrid human-AI operations
Retell AI
Retell AI focuses on real-time call intelligence, highlighting adaptive voice models, analytics, and enterprise-level call optimization. The firm’s solution is widely used in the financial services, logistics, and business process outsourcing industries, where accuracy and scalability are critical.
Core Advantages:
- Self-Learning from Live Call Data
- Production Analytics (95% Accuracy)
- Seamless Human Escalation
Pricing: Usage-based ($0.15/min and platform fee)
Perfect For: High-volume centers prioritizing accuracy and compliance.
Vapi
Vapi is an API-friendly platform that is developer-focused, built to enable customized, low-latency conversational flows. Vapi is ideal for contact centers that require full control over their AI models and conversational logic, without being bound by vendor-imposed limitations.
Core Advantages:
- Sub-200ms Latency (Edge Processing)
- Custom STT/LLM/TTS Pipeline
- Webhook-Driven Call Control
Pricing: $99/mo starter and usage
Perfect For: Tech-savvy teams building custom solutions.
Omilia
Omilia excels in conversational NLU systems that replicate natural dialogues in voice channels. The platform is popular among financial institutions for its dialogue context retention and PCI-compliant voice verification.
Core Advantages:
- Advanced Dialogue Management
- PCI-Compliant Voice Authentication
- Built-in QA & Compliance Suite
Perfect For: Secure industries (finance, healthcare).
Kore.ai
Kore.ai’s Experience Optimization (XO) platform empowers enterprises to build intelligent virtual agents (IVAs) with low-code tools. Its unique value lies in diagnostic automation and human sentiment blending.
Core Advantages:
- Visual Flow Builder With Code Extensions
- Emotion-Aware Responses
- Genesys/Five9 Integration
Perfect For: Mid-market enterprises needing rapid deployment.
Observe.ai
Observe.ai focuses on agent performance, compliance monitoring, and customer experience analytics. Unlike others, it’s more about enhancing hybrid AI-human environments than full automation.
Core Advantages:
- Real-Time QA for Every Call
- Agent Performance Improvement
- Compliance Risk Detection
Perfect For: Hybrid centers focused on agent enablement.
Five9
Five9, a long-time leader in the cloud-based contact center market, has incorporated AI automation technology completely into its Intelligent Cloud Contact Center (ICCC). This strategy combines proven telephony strengths with next-generation conversational middleware.
Core Advantages:
- Intelligent Call Routing
- Workforce Optimization
- Global Scale & Reliability
Perfect For: Legacy modernization projects.
PolyAI
PolyAI leads in conversational naturalness, producing assistants that sound almost indistinguishable from real agents. It’s renowned for consistent customer tone and rapid adaptation without continuous re-training.
Core Advantages:
- Emotional Tone Matching
- Domain-Specific Learning
- 1,000+ Concurrent Sessions
Perfect For: Premium brand experiences.
Platform Comparison Matrix
Implementation Roadmap
Phase 1: Pilot (Weeks 1 - 4)
- Select 1-2 use cases (billing, scheduling)
- Deploy on 5-10% call volume
- Measure: AHT, CSAT, abandonment rate
Phase 2: Scale (Months 2 - 3)
- Expand to 30-50% volume
- Add multilingual and complex intents
- Train agents on escalation protocols
Phase 3: Optimize (Month 4+)
- Full analytics implementation
- Continuous model improvement
- ROI measurement and expansion
Expected ROI Timeline: 3-6 months to breakeven, 12 months to 3x ROI.
Conclusion
As contact centers evolve, AI voice assistants have moved from “automation tools” to being business-critical assets that elevate performance, experience, and efficiency simultaneously.
- Cognigy and Retell AI lead in enterprise automation and adaptive learning.
- Plivo and Vapi dominate in developer control and omnichannel reach.
- PolyAI and Kore.ai shine in conversational fluidity and brand alignment.
- Observe.ai and Five9 are great in agent quality, compliance, and hybrid work efficiency.
Select according to call volume, language, and technology maturity. Pilot, test latency, resolution rate, and customer sentiment, and then scale. The future contact center is conversational, and the question is how intelligently you make it speak.
FAQs
What is an AI voice assistant for contact centers?
Software that automates real-time phone conversations using AI for speech recognition, intent analysis, and conversation control.
Can AI fully replace human agents?
No way. The most effective combinations are AI for the boring parts and humans for the emotional and hard stuff.
What is the optimal latency time for AI in contact centers?
Under 300 milliseconds to keep the conversation flowing naturally.
Which platform is friendliest with CRMs?
Plivo and Cognigy are the best options for good real-time CRM integration with multiple communication channels.
Which industries suit contact center AI?
Banking, healthcare, e-commerce, telecom, logistics. Any industry with lots of calls and multiple languages.
How important is analytics in AI contact centers?
Analytics are the core. Retell AI and Observe.ai are platforms that provide real-time agent performance, sentiment, and compliance analysis.
Can voice AI handle multiple languages?
Yes, Cognigy, PolyAI, and ElevenLabs handle global languages with robust accent insensitivity.
Is contact center AI secure?
The best platforms offer end-to-end encryption, data rules compliance, and data storage in designated regions.
What’s the biggest ROI driver in AI contact centers?
Reduced handle times, increased first-call resolutions, and improved customer sentiment through consistent and personalized service.
What’s next for AI voice in contact centers?
The future is smart computing, collaboration between human agents and AI, and real-time insights, transforming call centers into smart customer experience centers.
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Top 5 Cloud Call Center Solutions in 2024
Weighing call center cloud software options? Compare core features, limitations, pricing and ROI of the leading cloud call center softwares.
Selecting the ideal call center cloud software isn't easy: surging operational costs, aging infrastructure, and juggling multiple vendors are some of the challenges. Elements like scalability, integration, and customer support are important.
Here, we are spotlighting five standouts: Plivo CX, Genesys Cloud CX, Talkdesk, Zendesk Support Suite, and Nice CXone. Each excels in providing crucial features like real-time analytics, AI-driven chatbots, and versatile multi-channel support.
Must-Have Features in a Cloud Call Center Technology
Let's dive into the essential features that separate outstanding cloud contact center solutions:
- Seamless omnichannel support: Service customers on channels they prefer with integrated interactions. Whether it's via phone, email, chat, or social media, the goal remains the same—uninterrupted communication. Look for a platform that centralizes these channels to empower meaningful customer engagements.
- Voice bot, Chatbot and Interactive Voice Response (IVR): Boost your team's efficiency by automating 50-60% of customer service requests with voice bots, chatbots and IVR. Creating automated frameworks to collect and handle customers’ queries, reduces agent workload and speeds up resolution times. Choose a cloud based call center technology that lets you design IVR logic flows, and automate bots using rule-based and conversational AI.
- Routing: Smart routing is your ally, steering customer interactions smoothly to the right agent based on a matrix of factors, and ensuring every call becomes an opportunity for resolution and connection.
- Empowering tools for agents: Modern agents need modern tools—screen sharing, knowledge base access, and call recording are the hallmarks of an empowered customer support team
- Artificial Intelligence (AI): Look for a cloud call center solution that allows you to automate the majority of your customer queries. Only the most complex queries that require human intervention reach your support agents. Even in that case, the AI should serve as a sidekick to your support reps, providing them with the necessary information that will help them to answer customer queries quickly and easily.
- Real-time monitoring: Real-time monitoring lets you see contact center metrics and KPIS of everything—calls, chats, emails—at once. With one central hub, you can provide live coaching to agents, spot trends, and satisfy customers.
- Reporting: Unlock hidden customer insights with comprehensive reporting features! Opt for a call center cloud software that helps you gain insights with historical reports, analyze recordings & transcripts for quality checks, and use performance data to give feedback to agents
- Integrations: Your call center software cloud software should integrate with CRM, ERP, and other third-party apps for a unified view of customer data and streamlined operations.
- Scalability: Choose a cloud-based call center technology that innovates quickly, thus allowing you to scale your business requirements and not lag behind the evolving industry landscape.
- User-friendly software: Usability and customization should not be an afterthought. Opt for a platform that resonates with your team's expertise and can be tailored to your specific business needs, strategies, and workflows.
- Pricing and ROI: Choose a pricing model that aligns with your budget and usage patterns and offers higher ROI.
- Vendor reputation and support: Ensure your cloud call center solution is reputed, with stellar uptime and speed, even during software updates.
Top Cloud-Based Call Center Technology Solutions
Now, let’s zoom in on the top cloud call center solutions and examine what they bring to the table.
1. Plivo CX
Plivo CX triumphs with a unified platform, where managing customer interactions is streamlined and intelligent. It focuses on simplicity and AI-powered automation to improve customer experiences and agent efficiency.
Plivo CX’s cloud-based call center technology is ideal for medium and enterprise-level B2C and eCommerce brands with a multichannel presence.

Plivo CX features
- Facilitates seamless omnichannel customer care by managing all interactions through a unified agent desktop and eliminates tool juggling
- Builds and deploys AI-powered bots to answer basic questions, deflect calls, and resolve simple issues, freeing up agents for complex inquiries
- Conversation analytics scores allow agents to gain real-time insights into customer emotions during interactions, allowing them to tailor responses and proactively address concerns
- Plivo CX integrates and holistically interacts with home-grown systems as well as popular CRM, ERP, and helpdesk systems for a unified view of customer data that interacts with each other
- Drag-and-drop workflow builder helps you build custom user journeys across all business communication channels thus streamlining customer interactions
- Smart routing feature to route calls, chats, and emails to maximize team efficiency, reduce resolution times, and improve customer satisfaction
Plivo CX limitations
- Does not offer features that aid in quality assurance and workforce management
Plivo CX pricing
- Chat only: $19/user/month
- Growth: $29/user/month
- Business: $69/user/month
- Enterprise: Custom pricing
Plivo CX ratings
2. Genesys Cloud CX
Genesys Cloud CX is designed to forecast, collaborate, and automate, setting the stage for stellar customer service. It is used by enterprise organizations that need a deeper level of customer support, including helpdesk, contact center management, and digital channel management.

Genesys Cloud CX features
- AI-powered forecasting helps anticipate call volume and agent needs, allowing you to proactively schedule and optimize staffing, leading to better resource allocation and reduced wait times.
- Built-in collaboration tools like video conferencing and knowledge base access empower agents to deliver better customer service.
- Cloud IVR solutions designed to automate queries and facilitate self-service, thereby reducing the support team’s workload.
Genesys Cloud CX limitations
- Lack of features in Genesys Cloud CX makes it rank lower than their on-premise counterpart
- AI automation is outdated with the platform supporting only rule-based bot workflow builder
Genesys Cloud CX pricing
- Cloud 1: $75/user/month
- Cloud 2: $95 to $115/user/month
- Cloud 3: $135 to $155/user/month
AI Experience is available at an additional cost starting at $40/month
Genesys Cloud CX reviews and ratings
- G2: 4.3/5 (1000+ reviews)
- Capterra: 4.4 /5 (200+ reviews)
3. Talkdesk
Talkdesk's cloud-based call center solution provides businesses with tools that optimize call routing, enable in-depth analytics, and streamline workforce management for enhanced efficiency and productivity.
This call center software cloud platform is preferred by financial services and insurance, government and education, manufacturing, and healthcare and lifesciences that require workforce engagement management and employee collaboration in addition to omnichannel engagement.

Talkdesk features
- Agents can place calls directly from their helpdesk, CRM, eCommerce platform, or website, streamlining communication.
- Configurable multi-level IVR ensures callers are directed to the right support team.
- Real-time generative knowledge and automatic interaction summaries improve your customer support team’s productivity and reduce average handle time.
Talkdesk limitations
- AI capabilities for text conversation channels lack the competency of AI for voice
- Features for chat channels added to provide omnichannel support lack finesse, for example, the messaging interface doesn’t have automatic refresh, which hampers productivity
Talkdesk pricing
- Essentials: $75/user/month
- Elevate: $95/user/month
- Elite: $125/user/month
- Experience clouds: Custom pricing
Talkdesk reviews and ratings
- G2: 4.4/5 (2000+ reviews)
- Capterra: 4.6/5 (700+ reviews)
4. Zendesk Support Suite
Zendesk Support Suite provides mid-sized businesses with an omnichannel experience by combining ticketing and customer support capabilities. Known for its simplicity and ease of use, Zendesk's cloud call center software integrates with many third-party apps.
If your business extensively uses multiple business sources for the flow of information, Zendesk is the contact center platform of choice.

Zendesk Support Suite features
- Route inquiries across channels like phone, email, chat, and social media to the most qualified available agent based on skills and availability, ensuring efficient resolution.
- Efficient ticket handling feature allows your team to prioritize urgent tickets, thus ensuring prompt resolution of critical issues.
- Self-service hub where customers can find answers, ask questions, and connect with each other. This reduces agent workload and fosters peer-to-peer support.
Zendesk Support Suite limitations
- Issues with uploading and exporting data
- Limitations and difficulties in implementing basic processes
Zendesk Support Suite pricing
- Suite Team: $55/user/month
- Suite Growth: $89/user/month
- Suite Pro: $115/user/month
- Suite Enterprise: Custom pricing
- Suite Enterprise Plus: Custom pricing
Zendesk Support Suite reviews and ratings
- G2: 4.3/5 (5000+ reviews)
- Capterra: 4.4 /5 (3000+ reviews)
5. Nice CXone
Nice CXone is a cloud-based call center technology offering a clutter-free interface and detailed insights. The secure, robust IVR system and the user-friendly, browser-based Max agent interface allow agents to maintain focus.
Typically, industries such as healthcare, telecom, and BPO (business process outsourcers) use Nice CXone.

NICE CXone features
- Session recording provides invaluable insights into customer interactions with comprehensive call, chat, and screen recordings. Enhance agent performance by identifying improvement areas, analyzing trends, and coaching agents.
- NICE CXone's CCaaS offers crystal-clear voice quality and global reach. Enhance customer satisfaction with flexible routing, real-time analytics, and workforce optimization tools.
- Schedule and route calls to agents intelligently with skill-based routing. Automate the process of forecasting call volumes and proactively assigning agents, minimizing waiting times and ensuring smooth operations.
NICE CXone limitations
- Initial setup, data transfer and implementation is a time-consuming and labor-intensive process that warrants extensive support
- Takes a long time to implement and deploy features
NICE CXone pricing
- Digital Agent: $71/user/month
- Voice Agent: $94/user/month
- Omnichannel Agent: $110/user/month
- Essential Suite: $135/user/month
NICE CXone reviews and ratings
- G2: 4.3/5 (1000+ review)
- Capterra: 4.2/5 (500+ reviews)
Scale your Business with Plivo CX’s Call Center Cloud Software
Choosing the right cloud-based call center technology is critical. Beyond features, pick the solution that threads through your business operations seamlessly, empowering your agents and surpassing customer expectations.
Plivo CX has a suite of impressive functionalities. Robust features such as a unified agent desktop, real-time conversation analytics score, transcription, drag-and-drop flow builder, custom APIs, integrations, and automation promise a fully realized eCommerce environment.
So why wait?
Take the next step towards a cloud-powered future with Plivo CX. Sign up today.

How Much Does SMS Marketing Cost? [+ROI calculation guide]
Get a detailed breakdown of SMS marketing rates | Discover pricing models, potential hidden costs, and factors that will drive your SMS marketing budget.
Two myths about SMS marketing are that it's intrusive and expensive.
But is it intrusive?
With mailboxes flooded by marketing emails, now more than two in five consumers want to hear from brands through SMS. In fact, consumers from ages 25 to 54 prefer to communicate with brands via SMS over email. SMS is a viable marketing channel.
Now, is it expensive?
In this post, we will break down SMS marketing costs, all contributing factors, and how you can build a cost-effective campaign.
TL;DR: Using CoEngage, you can send a text message in the US for as little as $0.0095 per SMS. More on this later.
10 Factors That Influence SMS Marketing Costs
Many factors contribute to SMS marketing costs, majorly campaign size, location, and the provider you choose. Here are the top aspects that influence costs:
1. Location
Firstly, the pricing will vary depending on the location of the consumers you are targeting. For example, CoEngage users can send one SMS at a cost between $0.0095 and $0.013 to US consumers. There are additional carrier fees, which will be explained in the next point.
2. Carrier Fees
Mobile carriers are service providers that deliver messages. Popular mobile carriers are AT&T, T-Mobile, and Verizon. These providers charge a small price called carrier fees, which are added to the SMS cost.
3. Message Type
If you opt to send an MMS with media images, videos, or GIFs instead of a text message, then the charges can go slightly higher. For instance, for CoEngage users, the cost of sending MMS ranges between $0.029 and $0.039.
4. Target Audience Size
The more consumers you reach out to, the higher the cost. The pricing scales with the volume of the contact list.
5. Message Volume
Beyond the contact list, the number of text messages you plan to send in a month also significantly impacts the overall cost. Providers offer different pricing plans based on message volume. Assess your expected volume in advance to choose the right package.
6. Provider Charges
The cost of SMS marketing largely depends on the service provider you choose and the pricing plans they offer. Three common types of pricing models are:
- Pay-as-you-go: You pay based on message volume and features used.
- Subscription: You pay a flat subscription, which includes a fixed message volume and features in it.
- Hybrid: You pay a flat subscription for a certain message count limit. After exceeding the limit, pay-as-you-go pricing is enabled, and you are charged based on the message volume.
Compare the pricing models across different providers based on your expected volume and features. Find a provider with a pricing model that fits your budget and requirements.
7. Phone Number Type
SMS marketing rules are getting stricter to save consumers from spam. You would need a registered number for business text messaging. Below are three main phone number types that you can use for texting:
- Long code: Long code is your usual 10-digit number that looks like a standard phone number. Example: (415) 555-XXXX. Due to the familiar format, messages from these numbers look more personalized and are effective for smaller SMS messaging campaigns. They allow two-way messaging so they can accept replies from consumers.
- Short code: Short codes are typically 5 to 6-digit numbers assigned by carriers for sending and receiving SMS messages. They are often used for mass notifications, marketing campaigns, and customer support. Shortcodes are relatively expensive compared to long-code and toll-free numbers.
- Toll-free numbers: Toll-free numbers are a hybrid between short codes and long codes. Toll-free numbers support two-way communication, allowing businesses to engage in interactive SMS conversations with their consumers. Toll free is more cost-effective than short codes.
Tip: With CoEngage, you can get a phone number toll-free for free. We are waiving off the toll-free registration charges for all our users.
8. Keyword Costs
An SMS keyword is any word or phrase your consumers can text back as part of a campaign. For instance, If you are planning a Thanksgiving campaign, you can ask consumers to reply 'Thanksgiving' keyword to learn more about the offers.
SMS keywords are usually used for opt-ins and to get a heads-up from consumers if they are further interested in any particular campaign. SMS marketing providers often charge for the usage of any specific keywords.
9. Customer Support
Another factor that impacts the cost of SMS marketing is the type of support you expect from the provider. SMS marketing providers offer different pricing plans, each with varying levels of customer support. For instance, basic plans usually provide no customer support, mid-level plans may have email or chat support, and enterprise versions can have onboarding or 24*7 support.
10. Advanced Features and Customization Options
SMS marketing providers can also offer advanced features like segmentation, personalization, AI support, analytics, etc. These features help in designing an effective campaign. The catch is these features could be included in their existing pricing plans or may come at an extra cost. Check for the below features and their pricing before making the decision.
- Does the provider allow the segmentation of users into smaller groups with specific attributes such as age, gender, location, purchase history, address, etc?
- Does the provider support automation to trigger SMS automatically at a predetermined time or in response to any user action?
- Does the provider have an analytics report capturing KPIs like open rates, click-through rates, conversion rates, and opt-in and opt-out rates?
- Does the provider offer any AI features for campaign support?
Additional Costs To Consider | SMS Marketing Pricing
Below are additional features that can impact SMS marketing costs. While some of these features may be available in the existing pricing plans, some of them could be chargeable.
1. Integration
Does the SMS marketing provider offer all the necessary integrations? A few must-haves are integration with other platforms like Customer relationship management (CRM) tools, eCommerce tools, or other marketing tools. Are the integrations available for free, or do you need any enhanced functionality (which is chargeable)?
2. Compliance
Does the SMS marketing platform follow all compliance and legal considerations? For example, in the US, businesses must follow the Telephone Consumer Protection Act. It is a federal law to safeguard consumer privacy. It prohibits marketers from sending any marketing messages if the consumer has not given prior consent. The law also provides timings in which businesses can send marketing messages, i.e., between 8:00 AM and 9:00 PM local time.
While the SMS marketing providers do not charge separately for compliance, it's important to assess different platforms to find which one is compliant.
3. Subscribe List Maintenance
SMS marketing providers have a limit on the consumer list in different plans. For instance, the CoEngage starter plan captures 5000 contacts. On the other hand, the pro plan allows unlimited contacts.
4. A/B Testing and Optimization Costs
Another additional cost in the pipeline is the cost of testing campaigns before the actual launch. It includes sending sample emails with different subject lines and content to optimize the campaign before the launch.
5. Response Handling Costs
Two-way communication or handling responses from consumers may incur additional charges. This includes maintaining opt-in/opt-outs and managing customer responses. If you wish to integrate these responses into your existing systems and store them in CRM or customer support platforms, it may further increase the costs.
How To Calculate ROI on SMS Marketing Campaigns
Calculating return on investment (ROI) for SMS marketing campaigns is assessing how much profit you gained against the investment made.
The steps to calculate ROI are:
1. Determine total revenue: Find the total revenue generated by the campaign. For example, the number of conversions, purchases, etc.
2. Define campaign cost: Sum up all costs associated with the SMS campaign. It includes SMS marketing platform fees and any additional expenses.
3. Determine net profit: Find your profit against the investment by subtracting campaign cost from the revenue.
Net profit= Total revenue - Total campaign cost
4. Calculate ROI: You can calculate ROI with a simple formula.
ROI = (Profit/Campaign cost)*100
Let's understand with an example. You planned an SMS marketing campaign in which you sent promotional emails to 15000 contacts using the CoEngage growth plan (priced at $79 per month). Out of 15000 contacts, 800 consumers made a purchase of $50 each.
Total revenue = 800*$50 = $4000
Campaign cost = $79
Net profit = Total revenue- Campaign cost = $4000 - $79 = $3921
ROI = (Net profit/Campaign cost)*100 = (3921/79)*100 = 4963.29%
Plan Cost-Effective SMS Marketing Campaigns With CoEngage
CoEngage offers a generous growth plan for small and medium businesses with up to 25000 contacts at just $79 per month. And Enterprise versions with unlimited contacts started at just $199 per month. Get in touch with our team to design the most cost-effective SMS campaigns.

Multichannel Contact Center: What is it, Features & Top Providers
Explore what a multichannel contact center is, why you should set one up, the best providers in 2024, and best practices for setting up your solution.
For more than a decade, contact centers have been integral in helping organizations and key stakeholders address customer needs and influence their perception of the company’s brand, products, or services.
Undeniably, its role in delighting customers is growing, and at the same time, today’s contact centers have to adapt to changing customer behavior.
Findings from a McKinsey case study show that more than half of B2C customers engage with five to six digital channels before they make a purchase decision or resolve a request. This means contact centers must use multiple digital channels to engage with customers.
That’s where a multichannel customer care strategy allows companies to integrate multiple channels within the agent desktop, enabling contact center agents to handle multi-channel customer interactions. This saves them the gruntwork of spending unnecessary time logging into different systems to manage multiple channels separately.
Throughout this article, we discuss the top providers of multichannel contact centers, their key features and cons, and help you decide which is best for your business needs.
What is a Multichannel Contact Center?
A multichannel contact center is a cloud-based customer service solution integrating different communication channels into one platform. It helps businesses and customer support teams assist customers through channels where the audience resides, including SMS, voice, email, and social media.
Your customer service agents must be available on multiple channels to fulfill this demand and ensure quick, easy, and seamless customer service.
What are the Key Features of a Multichannel Contact Center?
A multichannel dashboard
The dashboard is where your agents access the different communication channels, voicemails, call logs, and reports. The channels are usually located on the left-side menu. New activity triggers a notification that agents can click to go to the relevant channel, whether it’s voice, SMS, WhatsApp, or email.
During active calls, the dashboard displays customer interaction history, contact details, order history, and options to change channels.
Advanced dashboards also include AI tools that provide canned responses and educational resources from the company knowledge base to assist customer support agents.
Call queueing
Call queuing puts all the inbound calls into a virtual queue and creates a waiting list for your customer support agents. This allows for:
- More organized call management
- The prevention of agent burnout
- Insight into important customer service metrics like the average wait time
Agents can view who’s in the queue, how long they’ve been waiting, and the expected wait time before responding to a caller.
Advanced multichannel call center software has an automated callback feature that notifies callers when an agent can answer their queries.
Routing and IVR
Multichannel contact centers have built-in routing and Interactive Voice Response (IVR) menus. Automatic call distribution (ACD) automatically directs customers to the best-suited agents across different channels, depending on the issue.
IVR lets customers self-resolve basic issues when call agents are unavailable or direct themselves to a queue, announcement, or agent based on their speech or dial tone.
Integrations with third-party apps
Multichannel contact centers integrate with CRM tools (like Zoho and Salesforce), team communication systems (like Slack), and information databases (like AirTable) for real-time flow of information between the contact center software and the other business systems your organization uses.
Auto-dialer
An auto-dialer automatically calls leads and analyzes their responses.nIf it detects a human, the call is transferred to an available agent. If it detects voicemail, a pre-recorded message is left for the lead to follow up on.
Why Set up a Multichannel Contact Center?
Get advanced contact center insights
Multichannel contact centers offer analytics and reports that help you monitor:
- Queue activity
- Customer behavior
- Team productivity
- Call volumes
- Customer satisfaction levels
This information helps you understand how well your business is performing, which channels are more popular, and what problems are common among your customers.
Improves customer service experience
Salesforce reports that 90% of buyers believe a business's experience is as important as its products or services. Customer service is an important aspect of this experience.
With multiple communication channels, customers can choose the channel they prefer to contact your business, making customer service convenient and personalized.
Improve agent morale and performance
Multichannel contact center software not only improves customer service but also simplifies the job of your customer support agents.
A centralized dashboard summarizes all communication channels and customer profiles, enabling agents to respond to clients without monitoring multiple platforms or digging around for important information. Auto dialers and IVR menus are multichannel contact center features that reduce your team’s workload.
The Top Multichannel Providers In 2024
1. Plivo CX

With Plivo CX’s multichannel customer service contact center, multichannel success is no longer overwhelming or an unachievable aspiration.
If you’re an eCommerce brand on Shopify, Plivo CX lets you focus on multichannel journeys and provide personalized attention by unifying chatbots, live chat, SMS, and WhatsApp into one conversation.
To enable businesses to deliver a cohesive customer experience at every touchpoint, Plivo CX has native voice capabilities, which means you don’t need to engage with third-party vendors for in-call features.
As the best multichannel contact center provider, the additional capabilities of web and in-app chat embedded directly into your website or mobile application let customers interact with you directly while they shop and post-purchase.
Key Features
- Inbound and outbound calling is complemented with data-driven routing (which directs callers to the most appropriate agent based on their information) and a programmable IVR for shorter wait times
- You also get toll-free numbers in 50+ countries and call recordings for training and quality assurance purposes
- SMS support that allows you to send messages while on call with a caller. You also get drag-and-drop workflows for proactive updates to reduce inbound support
- Offer WhatsApp support with automated responses to common questions and data-enhanced bot conversations
- AI-powered chatbots are capable of sending and receiving documents and photos for faster issue resolution
- Native integrations with nine popular third-party apps, including Shopify, Zendesk, Zoho, HubSpot, and Salesforce
- A drag-and-drop interface helps you build automated customer journey workflows
Limitations
- Lacks features related to quality assurance and workforce management
Pricing
- Growth: $19/user/month with 2000 chat sessions per agent and unlimited SMS
- Business: $39/user/month with 3000 chat sessions per agent and unlimited SMS
- Enterprise: 4000 chat sessions per agent and unlimited SMS. You’ll have to request a quote for pricing
Channels supported
Voice, SMS, WhatsApp, and live chat
Plivo CX ratings and reviews
2. Gladly

If you’re looking to ditch tickets and transition your support reps into revenue drivers and growth champions, Gladly is your AI customer service platform for multichannel support.
Combine the strengths of your contact center agents and AI-powered personalized self-service to free your agents from redundant tasks and focus on creating loyal customers.
Ecommerce and B2C businesses with an omnichannel shopping experience use Gladly to consolidate multiple contacts from individual customers and increase the response time.
Key Features
- A unified dashboard shows every customer conversation in a single place regardless of the channel, offering agents a complete history of customer interaction
- AI features help you reply to messages, summarize conversations, and generate marketing copy
- Gladly Sidekick offers a personalized self-service experience across multiple digital channels
Limitations (G2)
- Overwhelming user interface
- No dark mode or color-blind support
- For a small business with limited, implementing Gladly can be a cost-deterrent
Pricing
- Hero: $180/agent/month with multi-channel communication, unified customer view, a centralized knowledge base, and more
- Superhero: $210/agent/month with customer reporting, 99.9% uptime, and premium support
Gladly CX ratings and reviews
Channels supported: Voice, email, SMS, social media, live chat
3. Kustomer

If you’re in an industry like insurance that needs a unified communication system for cross-functional teams to collaborate and have visibility into the various customer interactions that different teams manage, Kustomer is an enterprise-level multichannel contact center solution for you.
With native integrations, teams get a real-time data stream which the business intelligence team uses to build their reporting. Whether through phone, SMS, email, or chat, you shouldn’t leave knowledge gaps with customer communication and Kustomer helps you do that with AI-powered customer service CRM.
Key Features
- A timeline view displays each customer interaction in chronological order
- An easy-to-navigate, searchable, and SEO-friendly help center that you add to your app or website to reduce the burden on your agents
- KIQ Customer Assist is an AI tool that responds to customer queries in a conversational tone using only information from your knowledge base
Limitation (G2)
- Integrated tools like Shopify load slowly inside Kustomer
- Customer satisfaction surveys are sometimes missing and have to be searched for
- Frequent downtime
Pricing
- Enterprise: $89/user/month with multi-channel communication, voice provider integration, proactive service, and more
- Ultimate: $139/user/month with real-time user supervision, enhanced routing, real-time dashboards, and more
Channels supported: Chat, social media, email, voice, and SMS
Kustomer ratings and reviews
4. Gorgias

Gorgias is an AI-powered customer service platform for Shopify merchants—helping them become an omni-available brand. Automation allows you to provide responsive service on every channel, 24/7, for every question, without hiring extra agents.
The suite of features, such as Helpdesk, autoresponders, and article recommendations from your help center, saves your team hours each week and offers a great experience for your customers. Your agents will spend less time answering questions, and with the article recommendations, your customers will save time following up.
Key Features
- AI ticket management prioritizes, assigns, and tags every incoming ticket automatically
- Customer context, such as previous orders, subscription details, and reviews
- Canned responses for FAQs give your agents a headstart and standardize answers
Limitations (G2)
- Limited reporting features
- A steep learning curve
- Automation can be expensive
Pricing
- Basic: $50/month with 300 monthly tickets
- Pro: $300/month with 2000 monthly tickets
- Advanced: $750/month with 5000 monthly tickets
Channels supported: Email, chatbot, social media, voice, SMS, and WhatsApp
Gorgias ratings and reviews
5. Help Scout

Think of Help Scout as your unified platform for every customer, vendor, and partner conversation. Built for financial services, SaaS, and ecommerce platforms, Help Scout offers personalized agent support and self-service options for customers to find answers to their questions quickly and easily.
Use AI to summarize conversations and improve your replies, automation to build customizable workflows, access customer data and their activity at a glance, and integrate with business sources to make your contact center agents’ life easier.
Key Features
- A shared inbox where your team members collaborate and interact with customers across multiple channels
- Collaboration features like assignments, private notes, and real-time collision detection ensure only one team member interacts with a customer
- A no-code help center with customizable colors and access control
Limitations
- Lacks support for SMS or voice (Website)
- Buggy workflow automation that doesn’t always work (TrustRadius)
- You can’t ask customers whether your knowledge base articles were helpful (TrustRadius)
Pricing
- Standard: $20/user/month with 2 shared inboxes and 1 knowledge base
- Plus: $40/user/month with 5 shared inboxes and 2 knowledge bases
- Pro: $65/user/month with 25 shared inboxes and 10 knowledge bases
Supported channels: Chat, live chat, email, and social media
Help Scout ratings and reviews
Your Multichannel Contact Center Search Ends with Contacto
If you’re a small business or an ecommerce store looking to address customer needs and interactions over multiple channels and platforms, Plivo CX is your solution of choice.
You get an easy-to-use agent for Windows and Mac, a drag-and-drop setup, toll-free numbers in 50+ countries, and SMS and WhatsApp support. Book a demo today!
Once you start using Plivo CX, focus on the popular channels among your customers to avoid getting overwhelmed.

10 Tips for Better Contact Center Management
Dive deep into the complete guide to contact center management. Explore pivotal roles, responsibilities, and 10 management tips that champion agent satisfaction and cultivate unparalleled customer loyalty.
10 Tips for Better Contact Center Management
Contact centers have become essential hubs for businesses aiming to offer exceptional customer service, and each contact center needs a manager to steer the ship.
Mastering contact center management is foundational for fostering a strong customer service team, providing an unparalleled customer experience, and ensuring agent satisfaction.
What is contact center management?
Contact center management focuses on the comprehensive oversight of the center’s operations, from the technologies used in a business’ service motion to the performance of its agents.
Contact center management is a balancing act of ensuring customers have a positive experience while optimizing the performance and satisfaction of agents, and it’s the responsibility of contact center managers to maintain this equilibrium, ironing out any operational wrinkles and guiding their team towards consistent excellence.
Key contact center roles and responsibilities
Contact centers thrive on the synergy between managers and agents, each playing an indispensable role.
What is a contact center manager?
The contact center manager acts as the captain of the ship. They are responsible for training agents, establishing performance metrics, ensuring high-quality service, and creating a positive, productive work environment. The contact center manager’s leadership shapes the overall effectiveness and reputation of the contact center.
What is a contact center agent?
Contact center agents are the ship’s crew, keeping the ship running as it should and acting as the direct link between a business and its customers. Day in, day out, contact center agents interact with diverse customers, answering queries, solving issues, and ensuring each individual feels valued. Their expertise and demeanor directly influence customer perceptions and satisfaction.
10 Tips for effective contact center management
Tip #1: Train agents regularly
A well-informed agent is a game-changer. Continuous training ensures agents are updated with the latest products, industry practices, and communication strategies.
Organizing regular training sessions, like monthly product updates or communication workshops, can bolster agent confidence and equip them with tools for success, enhancing overall agent efficacy.
Tip #2: Use data to make decisions
Data serves as the compass for contact center improvements. By analyzing key metrics such as call durations, customer feedback, or response times, managers can pinpoint areas that need refinement.
This data-driven approach is vital for crafting strategies for success in contact center management and ensuring both agent and customer satisfaction.
Tip #3: Create a positive work atmosphere
The correlation between agent morale and customer satisfaction is undeniable. By cultivating a supportive and engaging work environment, you motivate agents to perform at their best.
Celebratory gestures, like ‘Agent of the Month’ awards or team outings, can uplift spirits and reinforce a sense of community.
Tip #4: Keep communication open
A transparent communication framework is the backbone of efficient operations. It’s essential for agents to feel they can voice concerns or seek guidance without hesitation.
This can be achieved through regular feedback sessions, an open-door managerial policy, and promoting peer interactions, fortifying trust and camaraderie.
Tip #5: Use the latest tech
Incorporating cutting-edge technology can revolutionize contact center operations. Tools like CRM systems not only make processes smoother but also offer agents a wealth of information about customers, allowing for a tailored, efficient service approach.
Embracing current technologies is integral to the modern strategies for success in contact center management.
Tip #6: Set clear goals
As a manager, it’s important to offer transparency in how your agent’s performance is being measured, and to provide attainable benchmarks for success. Clear goals act as roadmaps guiding agents toward exemplary performance.
By defining these benchmarks and revisiting them periodically, managers can provide a structured growth path, catering to agent satisfaction and ensuring they understand their roles and responsibilities.
Tip #7: Listen to customers
Customers’ feedback is invaluable. By actively seeking, analyzing, and implementing their suggestions, contact centers can drastically elevate their service quality.
Regularly engaging your customers and requesting feedback can offer insights into customer satisfaction, guiding refinements and adaptations in your customer service strategy.
Tip #8: Sharpen your skillset
The world of contact centers is dynamic. To stay ahead, it’s imperative to foster a culture of continuous learning and adaptability.
Encouraging agents to attend workshops, partake in courses, or simply share knowledge can invigorate the workforce, driving both personal and professional growth.
Tip #9: Stay flexible
Adaptability is an essential skill for contact center managers. As technologies evolve and customer preferences shift, the ability to swiftly adjust and modify strategies becomes crucial.
A proactive contact center manager always keeps an eye on these trends, ensuring their contact center remains agile and responsive.
Tip #10: Trust your agents
Empowering agents to make decisions not only boosts their confidence but also accelerates issue resolution. Granting them a degree of autonomy, like offering on-the-spot solutions within certain parameters, can streamline operations and significantly enhance the customer experience.
Conclusion
Effective contact center management is an intricate blend of strategy and people skills. Prioritizing both agent and customer needs is the key to unlocking success and growth. Study these contact center management tips and they’ll serve as a comprehensive guide for anyone aspiring to elevate their contact center operations and outcomes.
Looking to level-up your customer service motion? Our cloud contact center offers a simple workspace for customer service teams that seamlessly combines your customer conversations with your existing systems.
Set up some time with us to share your business needs and get started with a free trial.
Other articles you might be interested in:

Top 100+ Customer Service Statistics and Trends in 2023
Discover top customer service stats for 2023. Gain insights on expectations, loyalty, privacy, channels, and trends to enhance your business.
Top 100+ Customer Service Statistics and Trends in 2023
We’ve scoured reports from industry leaders and compiled a complete list of the most compelling customer support statistics that will up-level your customer service.
Table of contents:
- 15 key customer service takeaways
- What are customers willing to pay for
- How poor customer service impacts your business
- Creating customer loyalty through excellent service
- The importance of privacy in customer service
- How customer service varies by channel and medium
- Even more ways that customer experience impacts your business
- Links to studies
If you’re looking for more information on meeting the service needs of modern customers, don’t forget to check out our other content:
- Leadership Talk: The Modern State of Customer Support
- How to Deal with Angry Customers: 12+ Tips that Always Work
- Cloud vs. Traditional Contact Centers: 5+ Reasons to Embrace Cloud-based Technology
15 Key Customer Service Takeaways

When customers are willing to pay more for good service
16. A significant 63% of Gen Z individuals are willing to pay a premium for a quality mobile experience (PWC).
17. Among those with an annual income under $50,000, 50% express a willingness to pay more for exceptional customer service, compared to only 19% who are unwilling (Hyken).
18. In a group of people earning over $100,000 annually, a substantial 66% state their willingness to pay more, while nearly 15% express unwillingness to do so (Hyken).
19. Nearly 70% of customers are open to paying more for a convenient experience (Hyken).
20. More than 40% of customers are willing to pay extra for the convenience of same-day delivery (PWC).
21. Convenience in delivery is a priority for over 90% of customers, who are willing to pay extra for this service (Hyken).
22. Only 15% of customers are willing to pay more for engaging design, and 12% would do the same for a great atmosphere (PWC).
23. A notable 72% of organizations have a clearly defined customer success strategy in place (Regalix).
24. Nearly 80% of business leaders affirm that customers spend more (34% on average) when they receive a personalized experience (Segment).
How poor customer service impacts your business
25. After encountering more than one negative experience, approximately 80% of consumers prefer doing business with a competitor (Zendesk).
26. It takes a total of 12 positive customer experiences to compensate for a single negative one, according to Ruby Newell-Legner’s “Understanding Customers.”
27. Across all industries, there is a 38% gap between customer expectations and actual service delivery (Hyken).
28. Only one in five consumers is willing to forgive a bad experience at a company with customer service rated as “very poor.” However, nearly 80% are forgiving if they rate the service team as “very good” (Qualtrics XM Institute).
29. A significant 78% of customers have abandoned a purchase due to a poor customer experience (Glance).
30. Approximately 70% of the customer’s journey is shaped by how the customer perceives their treatment (McKinsey).
31. If a problem is service-based, a customer is four times more likely to switch to a competitor (Bain and Company).
32. 61% of customers indicate they would switch to a competitor after just one bad customer service experience (Zendesk).
33. For 72% of customers, explaining a problem to multiple people results in a bad customer service interaction (Zendesk).
34. A noteworthy 79% of high-income households avoid brands for at least two years after a negative experience (Zendesk).
35. If they receive unfriendly service, 60% of customers would cease buying from a brand (PWC).
36. A staggering 96% of customers leave a brand due to poor customer service (Hyken).
37. When employees lack knowledge, 46% of all customers stop doing business with a brand (PWC).
38. Globally, 59% of consumers believe that companies no longer understand the human element of customer experience (PWC).
39. A significant 95% of customers share a bad experience with others, while 87% share a good customer service experience (Zendesk).
Creating customer loyalty through excellent service

The importance of privacy in customer service
50. A significant 88% of individuals trust companies that commit to not sharing their personal information without permission (Salesforce).
51. An overwhelming 92% of customers value companies that grant them control over the information collected about them (Salesforce).
52. Social media is employed as a data collection and analysis tool by 23% of businesses (Gartner).
53. An impressive 79% of customers are willing to provide relevant information about themselves in exchange for personalized interactions that immediately recognize and understand their needs (Salesforce).
54. For 56% of customers, sharing personal information in exchange for improved service is acceptable (Salesforce).
55. A solid 90% of people are more inclined to trust a company if it has a robust privacy policy (Salesforce).
56. A majority (63%) of customers would be more open to sharing their data if they truly value the service (PWC).
57. A significant 61% of customers feel that they’ve lost control over how their personal information is used (Salesforce).
58. Only 40% of customers trust brands to securely and responsibly handle their personal data (Segment).
59. Just 27% of customers have a complete understanding of how companies utilize their personal information (Salesforce).
How customer service varies by channel and medium
60. For 67% of customers aged under 40, the preferred mode of communication is texting (Hyken).
61. Chatbots are employed for customer service by 67% of organizations (Salesforce).
62. Among customers over the age of 40, the easiest means of communication for 66% is through telephone and email (Hyken).
63. Social media (preferred by 12% of customers) and websites (preferred by 10% of customers) rank as the least-preferred customer engagement channels (Regalix).
64. Agent consoles or computers are utilized for managing the majority (54%) of customer calls (Salesforce).
65. Simple issues could be addressed through interaction with a bot, according to 69% of customers (Zendesk).
66. An impressive 98% of customers make use of FAQ, help centers, or other self-service online resources (Zendesk).
67. Digital channels are the preferred mode of engagement for 57% of customers (Salesforce).
68. In comparison to in-store purchases, 53% of customers prefer buying products online (Salesforce).
69. On average, 35% of consumers find the self-service option highly important (Emplifi).
70. For simple matters, 65% of customers prefer self-service options (Salesforce).
71. Contacting customer service through social media is considered convenient by 67% of customers (Zendesk).
72. A substantial 76% of clients expect to receive a response within 24 hours when contacting a brand on social media (Sproutsocial).
Even more ways that customer experience impacts your business
73. Customer experience is a critical factor in purchasing decisions for 73% of clients (PWC).
74. A remarkable 90% of consumers trust a company that they’ve rated as “very good” to cater to their needs (Qualtrics XM Institute).
75. For 70% of customers, the awareness of sales interactions by service agents is pivotal in retaining their business (Salesforce).
76. The expectation that businesses know their unique needs and expectations is held by 63% of consumers, and 76% of B2B buyers share the same expectation (Salesforce Research).
77. Providing cutting-edge digital experiences is seen as necessary by 59% of customers to maintain their business relationships with companies (Salesforce).
78. Including personalized consumer experiences can improve your online conversion rate by approximately 8% (Trust Pilot).
79. An overwhelming 88% of customers today have higher expectations compared to the past (HubSpot).
80. While nearly 76% expect consistent interactions across departments, 54% believe that sales, marketing, and customer service teams don’t share information (Salesforce).
81. Understanding their unique needs and expectations is desired by 73% of customers (Salesforce).
82. A significant 76% of customers expect to engage with a customer representative immediately upon first contact with a company (Zendesk).
83. A friendly, welcoming service defines industry success for 48% of U.S. consumers (PWC).
84. A quick response to the initial inquiry impacts the choice of the company to buy from for 89% of clients (Zendesk).
85. The speed at which their problem is resolved defines good customer service for 69% of consumers (Zendesk).
86. For almost 80% of American consumers, the most important elements of a good customer experience are speed, convenience, knowledgeable help, and friendly service (PWC).
87. Company employees have a significant impact on the experience for 71% of customers (PWC).
88. The experience a company provides is as important as its products and services for 80% of customers (Salesforce).
89. 87% of companies believe that customer success programs have aided clients in adopting products and services (Regalix).
90. Customer support having access to the status of their most recent order is expected by 64% of Baby Boomers (Epsilon).
91. A satisfying experience with a company is reported by 77% of customers (Hyken).
92. Sales reps who understand their goals are more likely to be chosen by 84% of customers (Salesforce).
93. Poor quality of product or service leads a 34% decrease in continued customer purchases from a brand (Morning Consult).
94. The experiences with one industry influence the expectations for others for 62% of customers (Salesforce).
95. Loyalty is driven for 63% of customers when they receive a discount within an hour of interacting with a brand (Segment).
96. Personalization is attractive to 90% of customers (Epsilon).
97. A 5% increase in customer retention results in more than a 25% increase in profit (Bain & Company).
98. On average, customer service agents only ask for a customer’s name 21% of the time (Glance).
99. The pandemic has raised customer service expectations for 48% of clients (Zendesk).
100. Despite technological advances, 55% of customers believe we will still need support agents for positive customer experiences (PWC).
Enhanced customer service with PlivoCX
Looking to level-up your customer service motion? Our modern cloud contact center offers a simple workspace for customer service teams that seamlessly combines your customer conversations with your existing systems.
Set up some time with us to share your business needs and get started with a free trial.
Other articles you might be interested in:
- Leadership Talk: The Modern State of Customer Support
- How to Deal with Angry Customers: 12+ Tips that Always Work
- Cloud vs. Traditional Contact Centers: 5+ Reasons to Embrace Cloud-based Technology
References:
- 15 Customer Self-Service and Experience Stats To Know (2020) – Vanilla Forum
- Emplifi Consumer Expectations Report
- Zendesk CX Trends Report 2022 – AI and automation
- Connect employee engagement with performance – Gallup
- Americans Have Increased Their Impulse Spending by 14% in 2022 Compared to 2021, According to Annual Survey Commissioned by Slickdeals
- Customer journey needs statistics
- Customer Onboarding Statistics 2020
- Customer Service and Business Results: A Survey of Customer Service from Mid-Size Companies
- Customer Service and Customer Experience Report
- Customer service is worse than ever and so is consumers’ rage
- CUSTOMERS 2020: A PROGRESS REPORT
- Employee Motivation in the United States
- Experience is everything: Here’s how to get it right
- Global State of Customer Service
- Global study: Consumer engagement best practices for 2020
- Local Consumer Review Survey 2020
- New Epsilon research indicates 80% of consumers are more likely to make a purchase when brands offer personalized experiences
- Prescription for Cutting Costs
- State of customer success
- STATE OF SERVICE
- The State of Customer Service in 2020
- The Value of Online Customer Loyalty and How You Can Capture It
- What Are Customer Expectations, and How Have They Changed?
- WHAT DRIVES BRAND LOYALTY TODAY
- What is the impact of customer service on lifetime customer value?
- Zendesk Customer Experience Trends Report 2020
- The State of Customer Service in 2022 [HubSpot Data]
- Salesforce Report: Nearly 90% Of Buyers Say Experience a Company Provides Matters as Much as Products or Services
- Zendesk CX Trends Report 2022 – Challenges
- Salesforce State of the Connected Customer 4th Edition
- Live Chat Exposes a Fatal Flaw in Your Go-to-Market
- Zendesk research: customer satisfaction
- Zendesk CX Trends Report 2022 – Growth Areas
- The social media customer service statistics brands need to know in 2022
- Forrester’s US 2022 Customer Experience Index: Nearly 20% Of Brands See Drop In Customer Experience Quality – Forrester

How to Deal with Angry Customers: 12+ Tips that Always Work
Master the art of dealing with angry customers in Cloud Contact Centers. Explore 12+ actionable tips to reduce customer friction, foster loyalty, and transform challenges into opportunities for lasting positive impressions.
Within a Cloud Contact Center where hundreds, if not thousands, of tickets flow in, managing angry customers isn’t a simple task.
Successfully navigating these situations, however, plays a critical role in fostering customer loyalty and reducing friction.
Dealing with Angry Customers
Imagine you’re a customer support agent in a bustling Cloud Contact Center. The phone rings, and on the other end is a disgruntled customer, venting about an unresolved issue they’ve faced multiple times. The pressure is on to pacify them and find a solution, all while maintaining the image and reputation of your company.
To sail smoothly through the stormy waters of customer complaints, we must take a look at what makes a customer angry in the first place.
What Makes a Customer Angry?
Every customer is different, with unique preferences and pain points. However, there are some common threads that seem to ignite frustration among the majority.
Understanding these can give agents a proactive edge in tackling issues even before they escalate. Here are some typical triggers:
- Unresolved issues: When a customer faces the same problem repeatedly without a clear resolution, it can lead to mounting frustration.
- Long wait times: We’ve all been here — nobody enjoys waiting, especially when they need immediate assistance. For customers seeking urgent support, prolonged waiting periods can heighten their agitation.
- Miscommunication: When promises don’t match deliverables, it’s a recipe for disappointment. Miscommunication can stem from ambiguous terms, misinformation, or even language barriers, leading to a mismatch in expectations.
- Feeling undervalued: Every customer, regardless of the size of their purchase or the frequency of their engagement, wants to feel important and valued. If they sense indifference or a lack of respect, it can rapidly sour their experience.
Understanding these triggers and the underlying concerns of your angry customer is a crucial step toward resolution.
How to deal with angry customers: 12 tips
Now that we’ve covered why your customers might be angry to begin with, we must take a look at how to resolve their frustrations.
Fortunately, there are time-tested and proven methods for dealing with upset customers that can turn a negative customer experience into a positive customer experience.
Tip #1: Listen Actively The foremost step is to listen. More than a solution, sometimes the customer just wants to be heard. Let them share their grievances without interruptions. For example, say, “I apologize and understand your concern. Please tell me more about your issue, so I can best help you.”
Tip #2: Empathize with Their Situation Show genuine concern for their issues. A simple statement like, “I’ve been there,” or, “I can imagine that was frustrating,” can bridge the gap between the company and the customer.
Tip #3: Stay Calm and Professional No matter how heated the situation, maintain your cool. Responding with calm reassures the customer. Instead of saying, “You’re wrong,” you might say, “Let’s find out what went wrong.”
Tip #4: Use Positive Language Focus on what can be done rather than what cannot. Instead of “We can’t immediately process your refund,” say, “We will process your refund within 48 hours.”
Tip #5: Offer Solutions, Not Blame Shifting the blame doesn’t help. Focus on finding a viable solution for the customer. Offer them a workaround if an immediate solution isn’t available.
Tip #6: Apologize Sincerely An honest apology can go a long way. “I’m truly sorry for the inconvenience you’ve faced,” conveys empathy and acknowledgment.
Tip #7: Offer Follow-Up Check-ins After resolving an issue, make a note to follow up with the customer after a day or two. This shows proactive concern and might prevent future grievances.
Tip #8: Stay Informed Know your product or service inside out. If you’re unsure about something, tell the customer, “Give me a moment. I’ll find out for you.”
Tip #9: Offer Alternative Solutions If a direct solution isn’t possible, offer alternatives. “Although X isn’t available right now, may I suggest trying Y?”
Tip #10: Stay Patient and Don’t Take Offense It’s essential to remember that the customer isn’t angry with you, but with the situation. Patience can help in understanding the core issue better.
Tip #11: Seek Feedback Post-resolution, request feedback. Simply asking “Is there anything else I can help you with?” or “How can we serve you better next time?” can provide key insights.
Tip #12: Document the Interaction Ensure that every interaction is logged and available for review down the line. This will help in future communications and will serve as a reference for recurrent issues.
More tips for dealing with angry customers
Bonus Tip #1: Avoid Over-Promising It’s crucial to set realistic expectations. If you cannot guarantee a resolution within a specific timeframe, don’t promise it. Instead, give a timeframe you’re sure you can meet, and if possible, try to exceed that expectation.
Bonus Tip #2: Use Their Name Personalize the conversation by using the customer’s name during the interaction. This small touch can make the conversation feel more human and let the customer know they’re not just another ticket number.
Bonus Tip #3: Continuous Training The world of customer service is constantly evolving. Regularly train your team on new tools, techniques, and soft skills. This ensures they’re always prepared with the latest knowledge to handle a variety of situations.
Reduce Customer Friction to Create Loyalty
Resolving a customer’s issue promptly can transform their experience from frustrating to fantastic. It’s all about the approach and perspective. A satisfied customer not only sticks around but also becomes a brand ambassador, spreading positive word-of-mouth.
Conclusion
Dealing with angry customers can be challenging, but with the correct approach, it can be turned into an opportunity to cultivate customer loyalty. Patience, empathy, and a problem-solving mindset can provide even the most irate customer with a positive customer experience.
Looking to level-up your customer service motion? Our cloud contact center offers a simple workspace for customer service teams that seamlessly combines your customer conversations with your existing systems.
Set up some time with us to share your business needs and get started with a free trial.
Other articles you might be interested in:
- How to Reduce Customer Friction and Remove Common Hurdles
- Leadership Talk: The Modern State of Customer Support
- Simple Ways to Improve the Ecommerce Customer Experience
All about Telecom Fraud and How to Combat It
Telecommunication fraud: Learn about the types of telecom fraud and effective strategies to combat it. Protect your business and user information, partner with a reliable service provider like Plivo today!
Telecommunications fraud costs billions of dollars each year — estimates put global losses from telecom fraud between $25-40 billion annually — and every business is a potential victim. That’s because every organization uses telecom services — voice calls, SMS, even website click-to-call — which means they’re targets for sophisticated criminals looking to exploit vulnerabilities and rack up unauthorized charges.
Types of telecom fraud
What constitutes telecom fraud? There are many common types of telecom scams.
- SMS pumping: This involves sending high volumes of SMS messages to premium rate numbers owned by the fraudster. They make money off the interconnect fees paid by the operator.
- International revenue share fraud (ISRF): Fraudsters hack into business PBX systems or cloud services and make expensive international calls that terminate on high tariff destinations. The revenue is shared between fraudsters.
- SIM box or SIM farm fraud: This uses SIM boxes with multiple prepaid SIM cards to terminate international calls as local calls, bypassing international rates.
- Subscription fraud: Getting postpaid connections using fake identities to make calls and default on payments.
- PBX hacking: Gaining access to enterprise phone systems to make unauthorized calls.
- Robocalls: Illicit robocalls may use your numbers without your consent, harming brand reputation.
Telecom fraud prevention
Fighting fraud takes the combined efforts of governments, carriers, cloud providers like Plivo, and businesses. A number of tools and techniques are available from each of these entities to detect and mitigate telecom fraud.
✔ Government measures
At the government level, in the last couple of years we’ve seen a mandate for the use of the STIR/SHAKEN framework for caller ID authentication to verify originating numbers and identify spoofed calls in the US and Canada. Information from STIR/SHAKEN gives individuals more information about whether they should pick up an incoming call.
Governments can take other measures as well. In addition to making it harder to spoof phone numbers, the UK government plans to ban cold calls on all financial products, and ban SIM farms, which criminals use as a way to bypass legitimate communications platforms to send thousands of scam texts at once. In India, officials are working on a bill to mandate that the identity of a person sending a message or calling be visible to the receiver irrespective of the platform used for communication.
✔ Carrier measures
At the carrier level, US carriers have mandated businesses register their brands and use 10-digit long codes (10DLC) for application-to-person texting over long codes — regular 10-digit phone numbers. Similarly, toll-free numbers must be verified before being used for texting, and short codes have to meet carrier-mandated conditions when they’re set up. All of these measures are designed to mitigate unwanted robocalls.
Carriers have several other tools at their disposal.
- Real-time fraud management, in which carriers use AI and ML to analyze call patterns and identify fraud immediately through rule-based scoring.
- Fraud analytics, which uses historical data to identify fraud trends, high-risk periods, and fraud hotspots through geospatial analytics.
- Blockchain, in testing now by some operators, may provide immutable caller ID verification between networks.
✔ Service provider measures
Cloud providers help combat fraud by offering geo permissions to disable call routes to countries and regions in which a business has no presence, thereby avoiding potential ISRF. Plivo, for instance, lets you filter calls to specific countries and continents, and block high-risk voice network groups.
Service providers also offer tools businesses can use to lower the risk of fraud. Two-factor authentication (2FA) is a critical tool for keeping unauthorized individuals out of company accounts and away from company resources.
✔ Customer measures
As a business you can adopt several practices on your own to counter telecom fraud:
- Work with telecom providers to implement STIR/SHAKEN caller authentication and trace back spoofed calls originating from your numbers.
- Use CAPTCHA as appropriate to deter bots from exploiting systems.
- Conduct regular dark web scans to check whether any numbers you use are being sold to scammers.
- Deploy tools to block high-risk traffic identified through telecom fraud analytics.
- Have your application server or content delivery network set rate limits by user, IP address, or device identifier, to prevent sending more than 1 message per n seconds to the same mobile number range or prefix. You can also limit call duration or the number of concurrent calls.
- Monitor customer complaints about receiving robocalls/spam from your numbers.
- Require 2FA for all account and data access. Confirm users’ email addresses and/or phone numbers before enrolling them in 2FA.
- Audit telecom invoices frequently for unusual spikes.
✔ Individual awareness
All of those techniques can cut the risk of fraud for businesses and limit risks for their customers as well. However, individuals still have to stay alert and cautious to avoid being targeted by fraud that slips past all of the defenses. Number spoofing may be the most common scammer technique, in which fraudsters mimic legitimate numbers to socially engineer victims. Advanced telecom analytics solutions can help detect unusual calling patterns associated with these scams, providing an additional layer of protection.Another is Wangiri fraud, where scammers call phone numbers and hang up after one ring to bait recipients into calling back premium rate numbers. The more cautious your customers are, the less likely they are to become victims of telecom fraud.
Stay safe out there
Telecom fraud has been around for about as long as the telephone itself. As calling technology changes and evolves, so do scammers’ techniques. Businesses need to take advantage of layered fraud prevention provided by governments and carriers and continuously refine their own anti-fraud practices. With proactive participation from the business side, carriers can often trace, flag, and block fraudulent telecom activity being conducted over your platforms and numbers.
Plivo is committed to complying with all national and carrier regulations and best practices reducing telecom fraud. Our goal is to help you keep your customers safe from phone scams while controlling unauthorized telecom charges.

Cloud vs. Traditional Contact Centers
Chatbots help businesses automate their customer service motion and reduce time to ticket resolution. Learn about chatbots and how to implement them in this blog.
Cloud contact centers are revolutionizing how businesses serve customers, offering enhanced flexibility, scalability, and cost-efficiency compared to on-premise contact center solutions.
Read on to explore the differences between cloud and on-premise contact centers, cloud benefits, and to determine if cloud technology is the right fit for your business.
What is a Cloud Contact Center?
A cloud contact center is a centralized online platform hosted by a third-party service provider, accessible over the internet, which manages both inbound and outbound customer interactions across various communication channels.
Unlike traditional on-premise contact centers, cloud contact centers enable agents to access the system from anywhere with an internet connection, while the vendor handles system administration and maintenance.
What is a Traditional On-Premise Contact Center?
A traditional on-premise contact center relies on physical infrastructure located within a business’s premises. It involves owning and managing the hardware, software, and networking components required for customer interactions.
With traditional, on-premise contact centers, agents are required to work from the designated facility, limiting flexibility and scalability.
Key Differences: Cloud vs. Traditional Contact Centers
The main difference between cloud and traditional contact centers comes down to where they reside — in the cloud or on-site.
However, this distinction has far-reaching implications that shape the overall efficiency, scalability, and adaptability of these contact center models.
Benefits of Using a Cloud Contact Center:
- Anywhere, Anytime Accessibility: Cloud contact centers allow agents to work remotely, enhancing flexibility and job satisfaction while reducing overhead costs associated with maintaining a physical facility.
- Predictable Costs: Monthly subscription models of cloud contact centers facilitate accurate financial forecasts, eliminating unexpected expenses for hardware repairs or upgrades.
- Scalability: Cloud-based solutions offer the flexibility to expand or contract resources as needed, allowing businesses to accommodate fluctuating demands without substantial investments.
- Omnichannel Approach: Cloud contact centers seamlessly integrate multiple communication channels, providing agents with a holistic view of customer interactions and enabling efficient problem resolution.
- Quick Deployment: Cloud solutions are rapidly deployed without the need for extensive installation, resulting in shorter setup times compared to traditional counterparts.
- Stress-Free IT: Third-party providers manage maintenance, updates, and integrations, freeing up internal resources for core customer service tasks.
Considerations for Traditional Contact Centers:
- Sunk Cost Fallacy: Businesses heavily invested in on-premise systems may resist change due to sunk costs. However, focusing solely on past investments overlooks the benefits of modern cloud technology.
- Control and Security: Some businesses prioritize on-premise setups for data security and customization control. However, cloud contact centers are enhancing security measures and customization options.
Choosing the Right Contact Center Solution for Your Business
Choosing between cloud and traditional contact centers hinges on your business’s unique requirements, goals, and constraints. Here are some scenarios where a cloud contact center could be the optimal choice:
- Rapid Scalability: If your business is poised for growth and needs to swiftly expand its customer support operations, a cloud contact center offers agility and scalability.
- Flexibility: For businesses that need to adapt quickly to changing customer demands and industry trends, the cloud’s flexibility allows for swift adjustments.
- Limited Resources: Smaller businesses with restricted time, internal resources, and IT expertise can benefit from the ease of deployment and maintenance offered by cloud solutions.
- Multichannel Approach: If your business intends to engage customers through various channels, a cloud contact center’s omnichannel capabilities streamline communication and problem-solving.
- Advanced Features: Cloud contact centers provide access to cutting-edge technologies, from AI-powered chatbots to sophisticated analytics, enabling enhanced customer experiences.
Conclusion
The evolution of contact centers from traditional on-premise setups to cloud-based solutions signifies a transformation in customer service. Cloud contact centers offer unprecedented flexibility, scalability, and cost-efficiency, empowering agents to provide exceptional experiences regardless of their physical location.
If you’re ready to transition to a cloud contact center and position your customer service operations for success in the digital age, Contacto makes automation and omnichannel communication simple.
Set up some time with us to share your business needs and get started with a free trial.

What is a Chatbot? 10 Benefits of Chatbots for Enhanced Customer Service
Chatbots help businesses automate their customer service motion and reduce time to ticket resolution. Learn about chatbots and how to implement them in this blog.
Chatbots have been making waves in the customer service industry, providing a range of advantages that can enhance the customer experience by reducing customer friction, increasing revenue, and alleviating pressure on human agents.
From providing 24/7 availability to offering personalized recommendations, chatbots have the potential to revolutionize the way businesses interact with their customers.
What is a Chatbot?
Put simply, a chatbot is a computer program designed to quickly respond to and assist customers with their questions. Whenever a customer initiates contact through a communication channel, a chatbot will attempt to identify and resolve the customer’s issue by offering solutions to common problems.
Modern chatbots like Contacto’s can even be configured to trigger customized workflows dynamically based on customer responses, enhancing your business’ ability to gather relevant information from your customers before they connect with an agent.
Benefits of Chatbots
We’ve compiled 10 benefits of chatbots, and tips for how you can use automation to enhance the customer service experience, while also alleviating pressure on customer service agents, increasing revenue, and creating repeat business:
- 24/7 Availability: Chatbots can provide 24/7 availability to customers, which is not always possible with human agents. This means customers can receive immediate assistance, regardless of the time of day or night. This can increase customer satisfaction and reduce the likelihood of negative reviews or customer churn due to unaddressed concerns.
- Quick Response Times: Chatbots are capable of responding to customer inquiries in seconds, providing instant answers and minimizing the waiting time for customers. This can reduce frustration and increase overall customer satisfaction, while also freeing up customer service agents to handle more complex issues.
- Cost-Effective: Chatbots can help companies save on labor costs, as they can handle a large volume of customer inquiries simultaneously. This can allow companies to allocate their resources more efficiently and effectively, while also reducing the need to hire additional staff to handle customer service inquiries.
- Reduced Pressure on Human Agents: Chatbots can handle routine inquiries, allowing human agents to focus on more complex issues. This can reduce burnout and turnover among customer service agents, while also increasing the likelihood of positive customer interactions.
- Improved Context for Issue Resolution: Chatbots can gather information from customers and provide context to customer service agents before the customer is transferred to a human agent. This can help agents provide more efficient and effective solutions, as they will have a better understanding of the customer’s issue before the interaction begins.
- Increased Revenue: Chatbots can increase customer engagement by providing answers to questions that prospective customers may have while evaluating your product. This can increase revenue and customer loyalty, while also improving the overall customer experience.
- Multilingual Support: Chatbots can provide support in multiple languages, making it easier for companies to expand into international markets. This can increase customer satisfaction and reduce language barriers for customers.
- Consistent and Accurate Responses: Chatbots can provide consistent and accurate responses to customer inquiries, reducing the likelihood of miscommunications or misunderstandings. This can increase customer confidence in the company and its products or services.
- Improved Data Collection: Chatbots can gather customer data and provide insights into customer behavior, preferences, and pain points. This can help companies improve their products or services, as well as their overall customer service strategy.
- Creating Repeat Business: A positive customer service experience, facilitated in part by chatbots, can create repeat business and increase customer loyalty. Customers who have had a positive interaction with a chatbot are more likely to return to a company for future purchases or services.
So we ask the question again: what is a chatbot? A chatbot is a useful self-service tool that is evolving the modern customer service experience by providing 24/7 availability, reducing the pressure on your human agents, and decreasing the time to ticket resolution for your customers.
The Importance of Self-Service in Customer Support
In our recent Leadership Talk on the Modern State of Customer Support, Plivo’s head of support Renu Yadav highlighted the importance of self-service tools:
“Self-service options are a great way to reduce the number of queries coming to support agents and allow them to focus on more complex problems. I also think that it is important to build an extensive FAQ section so that customers can easily find answers to common questions.
I also think that chatbots and AI can be valuable tools for customer support. They can provide instant, 24/7 support for simple inquiries or issues, and they can also gather initial information before escalating more complex issues to human agents.”
How PlivoCX’s Chatbot can automate your customer service
PlivoCX’s modern chatbot leverages advanced automation technology to enhance the customer service experience for businesses of all sizes. With features like 24/7 availability, quick response times, and multilingual support, Contacto’s chatbot is an excellent example of the potential that this technology can bring to your business.
By embracing chatbot technology in your contact center, companies can provide better customer service, reduce costs, and increase revenue, all while freeing up their human agents to focus on more complex tasks.
With the rapid advancements in AI technology, chatbots are only going to become more sophisticated and capable of handling even more tasks, making them an essential tool for any modern business looking to stay ahead of the competition.
So why wait? Start exploring the benefits of chatbots today and see how they can revolutionize your customer service experience.
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