
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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RCS Marketing 101: Your Complete Guide
Discover how RCS marketing delivers rich, branded messages that drive engagement for your business.
SMS marketing works, but let’s be honest: it feels a bit outdated compared to modern apps.
But what if you could send rich, interactive messages with branded content, images, buttons, and carousels straight to your customers’ native messaging apps?
Rich communication services (RCS) makes that possible.
If you’re ready to explore how RCS marketing can transform your engagement strategy, this guide will walk you through everything you need to know. Let’s get started.
What is RCS marketing?
RCS marketing uses rich communication services to send interactive, branded messages through a customer’s default messaging app. It’s a modern upgrade to SMS that lets businesses share images, buttons, carousels, and more — all without needing third-party apps.
A user on Reddit summed up this perfectly:

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

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

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

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

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

RCS marketing myths and realities
Despite RCS marketing’s growing adoption and proven results, some common misconceptions still hold businesses back from trying it. Let’s look at a few of the biggest myths and what’s actually true.
Myth 1: RCS marketing is too expensive
At first glance, RCS business messaging can seem like a pricey upgrade. Rich visuals, tap-to-action buttons, and branded layouts look premium, so it’s easy to assume they come with a hefty cost.
But cost alone doesn’t tell the full story.
What you get in return matters more. RCS drives significantly stronger engagement with higher click-through rates, increased interactions, and better overall outcomes.
Take Club Comex, the loyalty program of North American paint brand Comex. They sent two rich and interactive RCS campaigns to their members and saw a 10x higher click-through rate, which helped increase revenue by 115%.
That’s the value side of the equation. Better targeting and richer content mean more people click, engage, and convert.
Myth 2: RCS marketing doesn’t reach enough users to be worth it
This concern made sense in the early days of RCS, when adoption was still catching up. But the landscape looks very different now.
In June 2024, the 12-month growth of RCS users reached 36.3%, showing faster uptake than other messaging channels. More Android devices support RCS by default, and it’s being rolled out across more networks globally. Even Apple has announced support, which means RCS is on track to reach a massive number of smartphone users worldwide.
With that kind of growth and widespread support, the hesitation around RCS is starting to fade. Brands can confidently invest in RCS marketing knowing it will connect with more customers than ever before.
Myth 3: RCS gets treated like spam and ends up ignored just like emails
Unlike email, RCS messages appear directly in the user’s primary messaging app alongside personal conversations. They include rich media and interactive elements, making them more engaging and less likely to be ignored.
This creates a more natural, conversational experience that drives higher open and response rates than traditional marketing channels.
Why choose Plivo for your RCS marketing needs
With RCS, you can turn simple messages into rich, branded conversations that feel more like chatting than broadcasting.
Plivo gives you the tools to make that shift without the hassle. From verified messaging to smart automation, everything works together to help you connect better and respond faster.
When combined with AI Agents and a unified customer data platform, RCS becomes more than just messaging. You can deliver personalized experiences at scale, automate everyday interactions, and keep conversations flowing without lifting a finger.
Here’s what you get with Plivo’s RCS API:
- Real-time personalization: AI Agents tailor conversations using customer profiles and behavior triggers to improve engagement and conversions.
- Multi-channel fallback: If RCS isn’t supported, messages automatically switch to SMS to ensure delivery and maintain consistent communication.
- Conversational automation: AI Agents handle FAQs, process orders, schedule deliveries, and route complex queries within RCS.
- All-in-one messaging platform: Manage RCS, SMS, WhatsApp, Voice, and more from a single dashboard.
- Reliable performance: 99.99% uptime and global infrastructure keep your campaigns running smoothly.
With Plivo’s no-code tools, you can quickly launch AI-powered RCS messaging across channels and deliver a consistent customer experience from day one.
See how you can launch your first RCS marketing campaign with Plivo by requesting a demo today!

WhatsApp Agent Setup: How to Launch AI-Powered Conversations at Scale
Learn how WhatsApp agent setup works using Plivo to launch AI-powered, no-code agents that handle support, sales, and engagement at scale.
Your customers are on WhatsApp but are your agents?
If you’re still relying on manual replies, scripted chatbots, or email follow-ups, you’re leaving response time and revenue on the table.
The smarter path? AI-powered WhatsApp agents. They’re full-service, no-code agents that can resolve issues, qualify leads, and send personalized offers 24/7.
In this guide, we’ll walk you through WhatsApp agent setup using Plivo and understand how these agents help you automate conversations that convert.
What is a WhatsApp AI agent?
A WhatsApp AI agent is an automation designed to operate over the WhatsApp Business API. Unlike scripted bots, agents are built to understand intent, pull in context from your internal systems, and complete business tasks like answering account-specific questions or initiating transactions.
Plivo’s WhatsApp AI agents can be trained to use your brand voice, integrated with your CRM or helpdesk, and customized to handle specific use cases, such as subscription renewals, cart recovery, refund processing, or customer onboarding.
They are accessible through a no-code interface and support a multilingual, omnichannel customer experience across WhatsApp, SMS, RCS, and voice.
What you need before setting up your agent
To go live with a WhatsApp agent, you need:
- A verified Meta Business Account
- An active WhatsApp Business Account (WABA) tied to a phone number
- Pre-approved message templates for outbound communication
- WhatsApp Business API access through a business solution provider (BSP) (Plivo offers this natively)
- A platform to design, train, and manage agents (Plivo Agent Studio)
Also read: How to Create WhatsApp Message Templates: A Complete Guide
Optional but recommended integrations:
- CRM (like Salesforce, HubSpot, or Zoho)
- Helpdesk (like Zendesk or Freshdesk)
- E-commerce or billing tools (Shopify, Stripe, etc.)
Step-by-step: How to set up a WhatsApp agent with Plivo
Follow this step-by-step guide for a smooth WhatsApp agent setup with Plivo.
Step #1: Choose your primary use case and define agent scope
Don’t build a generic bot. Start with why you’re automating. This could be handling support queries, sending order updates, re-engaging inactive customers, or managing subscription renewals.

Plivo provides a library of prebuilt AI agents for common use cases like cart recovery, lead qualification, appointment reminders, and product recommendations. You can choose to use one as-is or customize it to fit your business process. Each agent is compatible with WhatsApp and designed to operate across channels as needed.
Step #2: Build the agent using Plivo’s no-code platform
Since your API access is already set up, you can begin building your agent in Plivo’s Agent Studio. This is a visual, drag-and-drop builder where you create conversation flows using blocks that represent actions, responses, conditions, and triggers.

You can structure your flow to respond to specific keywords, match customer intent, route inquiries to different departments, or escalate to a live agent when needed. Each step in the journey can include media-rich responses like buttons, product carousels, quick replies, and file attachments.
Beyond logic design, you can also configure fallback rules for when the agent is unsure, and add human handoff conditions to ensure escalations happen smoothly with full context transferred to the live agent.

This step allows you to fully customize the agent’s tone, workflow, and logic to reflect how your brand communicates.4
Step #3: Train your agent with AI
Plivo supports integration with internal systems like your CRM, order management platform, inventory tools, or helpdesk. This means your agent can access real-time customer data, past orders, preferences, and policies to deliver personalized responses.
You can also connect your knowledge base, including FAQs, SOPs, product documentation, or policy articles. These resources train the agent to respond accurately and contextually, without needing scripted answers.

For natural language understanding, Plivo gives you the flexibility to choose the AI model that powers your agent.

Step #4: Test, launch, and monitor your agent
Once your flow is built and trained, run controlled tests:
- Check for flow accuracy and intent matching
- Review how it handles incomplete or unclear inputs
- Test human handoff and see if the agent transfers the full context

Plivo’s real-time dashboard lets you:
- Monitor delivery, engagement, and satisfaction metrics
- Track where users drop off in conversations
- Identify areas to improve agent logic or content
- Compare campaign and agent performance across channels
After launch, your agent keeps learning. As more customers interact, you’ll gather insight to improve how it responds or what paths it offers.
Plivo is purpose-built for WhatsApp AI agent deployment
Plivo’s platform is designed to help you move from idea to live AI-powered engagement without requiring engineering support or external consultants. When you use Plivo for WhatsApp agent setup, you get:
- Access to prebuilt agents for sales, support, and engagement
- Intuitive no-code builder (Agent Studio) that puts you in control
- Deep integration with your business systems for real-time, contextual replies
- Support for the best LLMs on the market, so your agent is trained with intelligence
- Built-in compliance with WhatsApp’s policies and global data laws
- Unified interface to manage messaging across WhatsApp, SMS, RCS, and Voice
- Enterprise-grade infrastructure with 99.99% uptime and expert onboarding support
Automate outcomes with WhatsApp agent setup in Plivo
Smart WhatsApp automation starts with smart setup. With Plivo's no-code platform, you can automate customer conversations, boost sales, and scale support — all without a development team.
Plivo offers the tools to build agents that reflect your brand, the infrastructure to scale securely, and the intelligence to adapt with your customer needs.
Whether you're trying to cut support wait times, recover abandoned carts, or drive upsells through personalized outreach, a well-built WhatsApp agent can make it happen, and Plivo makes it achievable.
Ready to get started? Request a free trial today!

The Definitive Guide to Automating WhatsApp for Business
Learn how WhatsApp automation can simplify customer communication and scale operations. Know about its key benefits and use cases. Get started today.
Remember when WhatsApp was just a simple messaging app? Launched in 2009, it was a tool for friends and family to stay in touch.
Fast-forward to today, and WhatsApp has become a global powerhouse with over 3 billion monthly active users. Businesses worldwide leverage WhatsApp to connect with customers, share updates, and provide support.
Many businesses struggle to keep up with the growing volume of customer messages on WhatsApp. Manually handling inquiries, sending updates, or following up on leads can quickly become overwhelming and inefficient.
This is where WhatsApp automation steps in.
By automating repetitive messaging tasks, businesses can reduce manual workload, respond faster, and deliver more personalized, timely communication.
In this article, we'll explore what WhatsApp automation is, why it's essential for modern businesses, and how you can implement it to improve customer engagement and operational workflows.
What is WhatsApp automation?
WhatsApp automation is the use of technology to automatically send and manage messages on the platform, especially for business and customer engagement purposes.
It doesn’t require human intervention for every interaction. As a result, businesses can handle customer inquiries, deliver updates, and engage with prospects efficiently.

With WhatsApp business automation, you can:
- Auto-respond to FAQs and reduce ticket volume.
- Reduce customer support load with proactive messaging.
- Route complex support queries to live agents only when needed.
- Send order confirmations and delivery updates automatically.
- Share return instructions based on customer actions.
- Run re-engagement campaigns with smart timing.
- Integrate with Shopify, Magento, and more for real-time updates.
- Trigger workflows from CRMs or e-commerce platforms.
- Keep messaging compliant with auto opt-outs and logs.
Here’s a breakdown of the three main types of automated messaging on WhatsApp:
Key benefits of WhatsApp automation
By automating routine tasks, WhatsApp can help your business stay responsive and consistent across customer touchpoints. Here’s how it can benefit your business:
Reduce manual workloads and response times
When you automate WhatsApp interactions, every department, from marketing to customer service, runs more smoothly.
By automating routine tasks like order updates, FAQs, and customer inquiries, businesses can significantly reduce the manual effort required.
This means your team spends less time on repetitive tasks and more time focusing on high-priority interactions.
Increases the scalability of customer interactions
As your business grows, the number of customer interactions increases. Automation allows you to scale communication efforts without hiring additional staff or losing the personal touch.
Whether you're dealing with 50 or 5,000 customers, automated responses ensure that each inquiry is handled swiftly and consistently.
Enhances customer experience through personalization
Automated WhatsApp messages can be personalized based on customer data, creating a more relevant and tailored experience.
From addressing customers by name to offering product recommendations based on past purchases, personalization makes customers feel valued. This leads to higher engagement rates and improved loyalty.
Cost-effectiveness compared to manual processes
WhatsApp automation eliminates the need for large customer support teams and reduces the time spent on repetitive tasks.
This saves on operational costs and also leads to a more efficient allocation of resources.
5 popular use cases of WhatsApp automation across industries
Businesses everywhere are finding new ways to use WhatsApp automation. Here are five popular examples:
1. Customer support
Automating common FAQs and routine inquiries on WhatsApp helps customers get instant answers anytime. This reduces the number of tickets support teams have to handle, letting them focus on more complex problems.
2. E-commerce operations
Order confirmations, shipping updates, and delivery notifications keep customers informed every step of the way. Automating returns and collecting feedback via WhatsApp speeds up these processes and improves customer satisfaction.
3.Marketing and lead nurturing
Automated lead follow-ups ensure timely, consistent engagement with prospects, boosting conversion chances. Also, you can use personalized re-engagement campaigns to help bring back inactive customers with offers or updates tailored to their interests.
4.Event management and invitations
Automated WhatsApp invites, updates, and follow-ups keep your audience informed and engaged, boosting the attendance rate. This helps you stay connected and make every event a success.
5.Appointment scheduling and reminders
Timely reminders help customers remember appointments, reducing cancellations and improving the overall experience. Automation makes scheduling easier and more efficient for both businesses and customers.
Step-by-step guide to implement WhatsApp automation for your business
To successfully implement WhatsApp automation, follow these key steps that cover planning, setup, and optimization.
Step 1: Define your use cases and goals
Start by identifying which business functions, such as order updates, customer support, or lead follow-ups, will benefit most from automation.
Set clear, measurable goals like:
- Reducing response times
- Lowering manual workload
- Boosting customer engagement
This will guide your automation strategy and help you track success.
Also, ensure compliance from the start. WhatsApp requires businesses to obtain explicit customer opt-in before sending messages. To stay compliant:
- Use clear, transparent language when requesting consent.
- Collect opt-ins through channels like website forms, checkout flows, or click-to-chat ads.
- Log and manage consent within your systems for audit readiness.
Data privacy and compliance are essential for building trust and maintaining long-term customer relationships.
Step 2: Choose the right WhatsApp business API provider
Select a platform that fits your specific needs. Look for features like:
- Robust CRM integrations
- Audience segmentation
- Flexible automation workflows
These capabilities simplify your communication and scale your efforts efficiently.
Make segmentation a priority, use tagging and grouping strategies to target the right customers with the right messages.
With smart tagging and grouping, you can:
- Deliver personalized messages
- Engage the right people at the right time
- Improve conversion and retention
Step 3: Set up your WhatsApp business account
You must set up a verified WhatsApp Business account to use WhatsApp for automated messaging. This includes:
- Registering your business name and details.
- Verifying a dedicated phone number.
- Getting approval from Meta to use the WhatsApp Business API.
This ensures that your business is recognized as a legitimate sender.
Your WhatsApp API provider will typically assist with onboarding, including submitting documentation and setting up the technical aspects.
Some platforms also offer pre-built tools to help you manage mobile number registration, display name approval, and message template submissions.
Step 4: Create and submit message templates
Start by designing message templates for everyday customer interactions, such as:
- Promotional messages (e.g., limited-time offers)
- Transactional updates (e.g., order confirmations, delivery alerts)
- Support messages (e.g., ticket updates or issue resolution)
Each template must follow WhatsApp’s formatting and content policies.
Once your templates are ready, submit them through your WhatsApp API provider for Meta’s approval. Only approved templates can be used for proactive messaging.
Step 5: Build automation workflows
Now that your account and templates are ready, it’s time to connect WhatsApp with the rest of your tech stack. Integrate with:
- CRM systems (to access customer data)
- Support tools (for query management)
- E-commerce platforms (to track orders and actions)
Use event-based triggers, like a new order, a cart abandonment, or a support ticket, to automatically send relevant messages.
Additionally, plan for human fallback. Automation can’t handle everything. Build intelligent workflows that escalate to a human agent when:
- A customer requests help
- The query is too complex
- Sentiment detection flags a negative experience
This keeps your support experience smooth, responsive, and frustration-free.
Step 6: Test, launch, and optimize
Start with a pilot campaign to ensure everything runs smoothly.
Track key metrics:
- Response time
- Open rate
- Conversion rate
Use these insights to refine your workflows, improve message content, and adjust targeting.
Best practices for WhatsApp automation
Following some proven best practices is essential to get the most out of WhatsApp automation. Here’s what you need to know:
Tips for optimizing messaging frequency and timing
To keep your audience interested, it's vital to message thoughtfully and strategically. Here are some quick tips:
- Avoid over-messaging to prevent unsubscribes.
- Use analytics to identify when your audience is most active and receptive.
- Space out messages to keep it natural.
- Monitor response rates and adjust based on customer behavior and feedback.
Leverage data analytics for campaign performance
By tracking metrics such as open rates, click-through rates, and response times, you gain valuable insights into what works and what doesn’t. Use this data to refine your messaging, target relevant audience segments, and optimize timing.
Regularly reviewing analytics helps you make informed decisions that boost engagement and drive better results over time.
Compliance and customer privacy protection
To protect your customers and stay compliant, focus on these key areas:
Enhance customer communication with Plivo’s AI WhatsApp automation
The growing demand for instant, tailored communication on WhatsApp puts pressure on businesses to respond quickly. Customers expect fast, personalized replies around the clock, and doing this manually often leads to delays, inconsistent service, and missed opportunities.
Finding a way to scale these conversations efficiently is critical for businesses looking to stay competitive.
That’s where Plivo comes in, an industry-leading omnichannel platform that automates and personalizes WhatsApp conversations, delivering timely responses at scale.
By leveraging Plivo’s WhatsApp AI agents, businesses can manage a wide range of customer communication tasks, from pre-sales inquiries to post-purchase support, without increasing their team size.
Here’s how Plivo can enhance your customer communication:
- Brand-aligned AI agents: You can customize the AI agents to reflect your brand’s voice, tone, and style. This makes all customer interactions align with your brand’s identity and deliver a personalized experience.
- AI customer service agent: Plivo’s AI agents work around the clock, ensuring your customers receive timely responses, regardless of the time zone. These agents process orders, resolve support issues, and answer questions.

- Natural, human-like conversations: With AI agents, you can engage in context-aware conversations, mimicking human interactions. They remember customer preferences and history to provide relevant responses like a human agent would.
- Simple, volume-based pricing: Plivo charges a flat fee per conversation rather than per message, making costs predictable and scalable. Volume discounts are available to lower your total spend as your messaging needs grow.

- Built-in compliance: Plivo ensures compliance with GDPR, HIPAA, PCI DSS, ISO 27001, and SOC 2 standards.
- Guaranteed message delivery with fallback options: The platform delivers billions of messages annually and uses SMS and voice fallback channels to ensure your customers always receive important communications.
- 24/7 availability: Plivo's AI agents provide instant, 24/7 assistance, answering questions, processing orders, and resolving customer issues.
- Multilingual support: With support for 70+ languages, Plivo’s AI agents can engage with customers globally and offer a multilingual customer service experience.
- E-commerce platform integrations: Integrate seamlessly with popular e-commerce platforms like Shopify, BigCommerce, WooCommerce, and Magento to deliver a unified customer experience across all touchpoints.
With Plivo’s vast carrier network spanning over 220 countries, businesses can significantly cut SMS costs by up to 70% while achieving threefold returns on investment.
Many companies using Plivo CX have experienced remarkable results, earning an outstanding $71 for every dollar invested in their SMS marketing efforts.
Book a free demo today and see how Plivo’s AI WhatsApp agents can change your customer communication strategy.

Introducing Browser SDK 2.0
Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.
We’re thrilled to announce the general availability of Browser SDK 2.0, the next version of our web SDK, which enables you to integrate the ability to make and receive calls into your web applications. It provides three major new benefits:
- Web applications that embed the new SDK can now provide details on call quality.
- The SDK supports collecting real-time feedback from users about things like audio quality, caller ID, and digits entered during the call.
- The SDK offers better flexibility for the developers to reduce CPU utilization, improve QoS, and configure the application based on user needs.
Let’s look at each of the benefits in a little more detail.
Visibility into call quality metrics
Whenever an application makes or receives a call using Browser SDK 2.0, the application can track metrics such as latency, jitter, packet loss, and mean opinion score (MOS). Tracking these metrics helps in both assessing the quality of the call and debugging issues.
The SDK also detects real-time network issues using these metrics. These issues are provided as events that your application can handle.
Gather user feedback on the call
You can now collect feedback on calls from end users by using the SDK. Feedback is taken in a five-point scale, with predefined reasons spanning across audio quality, caller ID, and digits entered. Since this feedback is associated with a callUUID, it’s easy to aggregate and act on issues that end users face.
New features for developers
Browser SDK 2.0 offers more flexibility to developers to tailor their applications. With the new SDK developers can now:
- Enable or disable AEC and AGC in Chrome to adjust microphone levels and amplify the audio to make a call clearer. This helps when CPU utilization is required to be low.
- Enable or disable Differentiated Service Code Point (DSCP), which helps in managing QoS if DSCP is supported.
- Configure input, output, and ring devices using our Audio Device API.
- Override the default GeoIP location and explicitly set the user’s current region, which can help Plivo route calls through the nearest servers, thereby reducing audio latency.
- Detect audio issues such as one-way audio or no microphone access and expose them as events that can be handled by the application.
- Retrieve additional call details to debug and troubleshoot issues.
Performance improvements
We’ve also made a couple of performance improvements. The SDK now reduces CPU utilization by 15% by using microphone access on demand. And it supports the Opus codec, which is tolerant of network issues, so call participants won’t experience noticeable issues in audio quality even at 20% packet loss in their network.
Browser SDK 2.0 supports Firefox 51 and above and Chrome 55 and above. It’s not backward-compatible with Browser SDK v1. Browser SDK v1 will be deprecated at the end of 2017.
To help you get started with Browser SDK, we’ve built sample applications that demonstrate its features. Visit the Browser SDK documentation page for a complete list of features and information on implementing them.

SMS Merge with Google Sheets and Plivo
Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.
Want to send personalized SMS messages to customers right from Google Sheets? You can do it with a little help from Plivo and this SMS automation power sheet. We used Google Apps Script to create an SMS merge feature for Google Sheets.
To use Plivo’s messaging script, you must have a Plivo account, and an SMS-enabled phone number with which you can send messages to your customers. If you don’t have an SMS-enabled number among the numbers on the Phone Numbers page of the console, click Buy Number to get one.
Create a sheet
Now create a new Google Sheet, then click Tools > Script editor to start a new Apps Script project. Copy the content of the scripts.gs file in our GitHub repository and paste it into work area in place of the empty function that Apps Script starts with.

At the top of the file, replace the placeholders XXX.YOUR.AUTH_ID.XXX and XXXXXXXXXXXX.YOUR.AUTH_TOKEN.XXXXXXXXXXX with the Auth ID and Auth Token values for your account, which you can find on the overview page of the Plivo console.
Save the project that contains the Apps Script. Give it any name.
Save the code

Now reload the Google Sheet.

You should see two new sheet tabs at the bottom of the file called Data and Template. The Data sheet has several columns, each of which will be populated with the details of the Send Message API response for that specific row.
You can associate placeholders in your message template with custom columns on the Data sheet. The placeholders will be dynamically replaced with values found in custom columns with the same name. You can add as many custom columns as you like. This is at the core of the SMS merge functionality.

The Template sheet contains the SMS template in the A2 cell. Use the names of any custom columns you create on the Data sheet as placeholders in your template.
To try out our sheet, we created placeholders named NAME, COUPON_CODE, DISCOUNT, and STORE, the actual values of which the script picks up from columns in the data sheet with the same names.
Note that placeholders should be enclosed within double braces in the template, as you can see in the image above.
When you’re done, click on Plivo Messaging > Validate Message Template to check for errors in the message template.

Put data in the sheet
Enter values for all of the columns that are part of your SMS template.

Send messages
When the sheet is ready, click on Plivo Messaging > Send Messages.

The code behind the scenes
Now that you’re familiar with how to set things up, let’s see how we put it together using Apps Script functions to make API calls to Plivo to send the messages.
Sending messages
sendMessages(data) takes a list of row data objects and processes each object one by one.
Let’s walk through this line by line.
This line creates a Base64-encoded token that we send with every API call to authorize Plivo API requests.
This for loop iterates over the list of objects and does several operations:
- Creates a temporary message object containing the source number, destination number, and message text. The message text is generated by the createMessage function, which merges the template with the placeholders. More details on that in a moment.
- Attempts to deliver the message via the Plivo API.
- Tracks the success and failure counts.
Once we have success and failure counts, we report them.
Creating messages
The createMessage function iterates over all custom headers. If the custom header is found in the message template then that placeholder is replaced with the actual value. At the end it returns the final message.
Let’s see how it works using an example.
Suppose we call createMessage(data,template_data) where data and template_data are:
Then createMessage(data,template_data) will return text
API call to send message
The trySMS function, which calls the API to send messages, takes four parameters:
- task, which is the temporary object created by sendMessages()
- row, the row number for which the function is to run
- AUTH_ID, the Plivo account Auth ID
- TOKEN, the Plivo account Auth Token
The first line creates an API call object options that contains all the HTTP parameters required to make the API call to Plivo.
UrlFetchApp.fetch is Google’s predefined function to make API calls. It returns the HTTP response.
Winning with automation
Google Sheets plus Google Apps Script makes an awesome combination that you can use to automate tasks and workflows. We hope you find our SMS sender for Google Sheets useful.

Announcing Improved Voice Quality for Plivo SDK-based Apps
Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.
Following the December rollout of our new Voice 2.0 Infrastructure, our team continues to add features and upgrades to improve voice quality. As of today, our Browser SDK supports the Opus codec, which is the best-in-class audio codec for a wide range of voice applications. All applications that use the Plivo Browser SDK for inbound and outbound calling will automatically use Opus as their default codec. Soon we’ll launch Opus support for our Mobile SDK and Zentrunk SIP trunking as well.
Why the Opus codec?
We’ve optimized the opus encoder with reduced complexity on our Plivo network side to reduce decoder complexity on customers’ browsers. We’ve also optimized sampling rates, leading to decreases in browser sampling frequency and thus providing better performance on the browser. All of our optimizations also save bandwidth.
We’ve captured these audio samples that compare how Opus and the PCMU (G.711) codec deal with varying degrees of packet loss. The first sample, with 0% packet loss, sets the baseline for comparison. With increases in packet loss, Opus’s superiority stands out. Even at 30% packet loss, Opus still delivers comprehensible dialogue.
Opus is also efficient. Instead of the 100Kbps of bandwidth our prior WebRTC SDK codecs used, Opus uses 50Kbps. Your application will experience decreases in jitter, latency, and packet loss, and despite poor network connections, your users will experience better voice quality.
What is Opus?
Opus is an open source audio codec that’s optimized for speech and music transmission over the internet. Audio codecs are software that compress and decompress digital audio signals for transmission. These codecs depend on mathematical algorithms and are graded on their ability to retain audio quality while encoding and compressing audio signals.
Opus is highly effective at reducing bandwidth consumption and CPU usage during audio transmission while maintaining high-fidelity audio signals. It’s known for its ability to handle a variety of VoIP audio applications, including conferencing, help desks, and click-to-call applications.
Why is Opus awesome?
Opus was built to fill the gaps of existing audio codecs, which were not optimized for bandwidth, CPU usage, and the varying bitrates and frame sizes that are needed for next-generation WebRTC-based audio applications. Even though Opus is not new, its high quality and low latency performance have propelled its popularity among applications that use WebRTC. Google’s Chrome browser has adopted Opus as its default codec, and Firefox, Opera, and Chromium browsers all support Opus for WebRTC as well. Because of this broad support, more and more WebRTC applications have been adopting Opus to transmit speech over the internet.
Here’s how Opus stacks up against other popular codecs, per its creators Jean-Marc Valin (Mozilla/Xiph.Org), Koen Vos (vocTone), and Timothy B. Terriberry (Mozilla/Xiph.Org). As illustrated below, Opus has the lowest delay (26.5ms by default), flexible bitrate, and a broad range of bandwidth support (narrowband to fullband), and it’s optimized for real-time communication.

Extreme audio optimization
Opus can adjust bitrate, audio bandwidth, and frame size dynamically on live calls. This support for a range of bitrates, frame sizes, audio bandwidths, sampling rates, and multistream frames ensure that a wide variety of applications can use Opus to transmit audio. This flexibility allows Opus to compensate for varying internet speeds and issues that users could experience without notice. For example, if a user has a congested Wi-Fi router or experiences low network bandwidth, Opus can automatically and seamlessly switch to a lower bitrate for smaller bandwidth consumption.
Errors and packet losses are unavoidable when complex systems interact. Opus has many features and strategies to mitigate poor audio quality during low network connections.
Reduced jitter
Ideally, in a perfect high-bandwidth, low-latency environment, the network should deliver a steady stream of packets on a continuous basis. However, even if audio data is being transmitted and played in the right order but not played to the exact timing, sound distortions can occur. Here’s an illustration comparing a steady stream of packets during zero congestion versus the same audio transmission (i.e., same packet stream) in a congested environment.

VoIP applications can experience a lot of jitter because high fidelity audio requires high bandwidth. However, even in the event of packet loss, Opus has built-in features such as Packet Loss Concealment (PLC) and dynamic frame sizes to mitigate the symptoms and detection of jitter by the human ear.
When voice is transmitted over IP, packet loss can occur during decoding. Opus can use PLC to mask the effects of packet loss. When the codec detects that a packet is missing, Opus can use several PLC strategies to hide gaps in lost information. Opus can replace lost speech frames with zeros (i.e., zero insertion), reconstruct missing gaps by repeating a portion that has been successfully received (i.e., waveform substitution), or use speech models and algorithms to fill gaps in speech (i.e., model-based methods). These strategies are especially important for calls to and from areas of low bandwidth networks or Wi-Fi congestion.
Lower latency
The human ear can detect latency greater than 250ms. While 300ms is considered industry wide as poor latency, the International Telecommunication Union recommends that latency should be kept below 150ms to ensure that symptoms of poor voice quality doesn’t affect calls. Our platform is optimized to deliver connectivity under 50ms to all customers around the globe, and support for high value audio codecs such as Opus plays a large role. Opus solves latency issues by supporting variable and constant bitrates and being able to adjust bitrates dynamically.
- Support for variable bitrate (VBR) and constant bitrate (CBR). Voice transmission requires a variable bitrate — the ability to change bitrate dynamically to adapt to the audio being encoded. VBR can help achieve a lower bitrate for the same voice quality, which means that it can consume less bandwidth than CBR, leading to improvements in audio quality.
- Dynamic bitrates from 6Kbps to 510Kbps. Opus will adjust its bitrate between 6 to 510 kilobits per second (Kbps) according to packet loss and round-trip time (RTT) reports during live audio transmission. If an audio call is experiencing increased packet loss and long RTT, then Opus will automatically switch to a lower bitrate to compensate and reduce congestion. The ability to change bitrates dynamically ensures that applications consistently deliver high voice quality and clarity.
Better packet loss concealment
Mitigating packet loss is especially important in real-time communication, because there’s no time to resend missing packets. Even low levels of packet loss can cause unnecessary breaks in audio; when packet loss is severe, complete sentences could be missing. Even though Opus cannot alleviate packet loss, it can mask the symptoms with reconstruction algorithms like forward error correction (FEC) and other PLC strategies.
- Forward error correction (FEC). FEC can improve audio quality because it can reconstruct a missing packet from information from neighboring packets that were previously or subsequently transmitted.
- Flexible error propagation. In the event of packet loss, other audio codecs utilize long-term prediction (LTP) filter states that spend more bits throughout the packet, which requires significant increases in bitrate and delay. To mitigate this, Opus reduces LTP filter states to the beginning of a packet, spending more bits only during the first pitch period, but saving bits throughout the packet transmission. This decreases potential voice quality issues and allocates more bandwidth to transmission.
Reduced audio bandwidth
Bandwidth is the amount of information that can be transmitted over a period of time. The larger the bandwidth the more data can be transmitted. Increasing bandwidth can lead to better audio quality. Strategies for better utilizing bandwidth include transmitting more data each time, transmitting the same amount of data faster, or reducing the amount of data that needs to be transmitted. Opus deploys discontinuous transmission (DTX) to reduce the amount of data being transmitted during periods of silence.
Most audio calls have intermittent pauses and periods of silence, therefore by reducing the packet rate during silence can save bandwidth and CPU usage. DTX give Opus the ability to detect silence and reduce packet rates when no one is speaking. Then, when audio resumes, Opus can increase the packet rate seamlessly.
Opus’ adaptability and robustness makes the codec suitable for VoIP applications running on stand-alone software or web browsers. See for yourself and let us know what you think.

Introducing SMS Error Codes: Better Visibility into Your SMS Delivery
Plivo's SMS API and Voice API enables businesses to communicate with their customers at global scale. Sign up for free now.
Plivo now provides detailed SMS error codes for every outbound SMS text message that fails to be delivered. These error codes can help you understand the reasons for delivery failures and troubleshoot issues with your outbound SMS messages.
Message states and SMS error codes
When you send an SMS message from your application to Plivo’s servers, we queue it up to send it to our carriers at an appropriate rate that meets their compliance requirements, and we pass your application the message_state queued. Upon successfully sending your message to our carriers, we update the message_state to sent. Once the destination carrier reports that it has received the message, we update the message_state to delivered.
This, of course, is the ideal scenario in which everything works as it should. However, in systems involving multiple layers, where messages may traverse multiple downstream carriers before delivery, errors can occur — and when they do, we wanted to have an easy way for our customers to diagnose and resolve any issues. That starts with identifying the source of the problem, which is where SMS error codes come in.
Plivo sends SMS error codes at each stage of the delivery process, depending on the message_state returned. That is, if delivery is unsuccessful when we tried to deliver a message to a carrier, the message_state will be updated from queued to failed and an accompanying error_code will be given.
If a message is successfully sent to the carrier, it can still hit roadblocks that can cause the SMS to fail. In this scenario, the message_state would change from queued to sent, then to undelivered, which is also accompanied by an error_code.
Here’s an illustration of the delivery path and the message_states that can occur.
When there are issues with SMS delivery, some carriers alert us with a delivery report that may include information about the failure. However, we work with carriers in hundreds of countries, and each of them has a different method and frequency of reporting information about SMS failures. Some carriers send error codes for nearly every undelivered SMS, while others send them for fewer than 5% of undelivered messages.
Because there’s no standard for reporting error codes and not all carriers support delivery reports, we can’t control the delivery, quality, or frequency of error reporting. However, for the error codes we do receive, we wanted to build a model so that our customers could have a standardized way to identify delivery issues. To do that, we aggregated all the error codes from each carrier and mapped them to a set of error code categories that capture the entire spectrum of potential issues with SMS deliverability. Now, when a carrier reports an SMS error while trying to deliver your text message, it’s mapped to one of our standardized SMS error codes.
For every SMS message that you send through the Plivo platform, Plivo now returns a message_state of queued, sent, delivered, failed, or undelivered, and we provide an SMS error code in the error_code parameter when messages have failed or were undelivered.
Message states and error codes are sent to the callbackUrl set in your application. To retrieve the details of a specific message, make an HTTP GET request to the Message API with the message_uuid appended to the BaseURI. Alternatively, visit the Messaging > SMS Logs page of the Plivo console.
Here are the SMS error codes that we return. You can find an updated list of error codes in our documentation. Going forward, whenever your text message doesn’t reach its destination, refer to the SMS error code to identify the issue.
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