Enhancing Data Privacy: Advanced Message Data Storage Options
Discover Plivo's new data storage options for SMS, MMS, and WhatsApp messaging, designed to ensure compliance with GDPR and HIPAA while meeting your unique business needs
Data storage in the context of SMS/MMS/WhatsApp involves recording and storing messaging data, including recipient information and message content. Companies often use SMS/MMS/WhatsApp data storage to track communication with clients or for internal monitoring purposes.
However, data storage is subject to privacy regulations such as GDPR or HIPAA. So organizations processing third-party personal data are required to implement privacy controls, such as message content storage redaction.
Plivo's Enhanced Data Storage Options
To address this we're thrilled to introduce new comprehensive data storage options for SMS, MMS and WhatsApp messaging. This empowers Plivo customers to fine-tune their data storage preferences, aligning with regulatory requirements and their unique business needs.
Customizable Data Storage Preferences for Messaging
Outbound Messages
Plivo now offers four custom data storage preferences, enabling customers to personalize the handling of their outbound messaging data in alignment with global data protection standards and business needs.
The preference for data logging of outbound messages is set as a parameter in the Send Message endpoint and is applied at the message level. The four available settings for modifying content storage preferences include:
Illustrative Example of Data Storage Options
Consider a message with the destination number '+12025550123' and content: 'Hello, your appointment is confirmed for tomorrow at 3 PM.' processed under each storage setting:
Important Note: Message content redaction prevents Plivo from troubleshooting or retrieving messages in case of issues. The default setting is to store both the number and message content, ensuring outbound messages are fully retained unless the log parameter is explicitly set to ‘false’.
Inbound Messages
Similarly, for inbound messages, customers can specify their storage preferences, which are configured at the application level. The available settings for inbound messages are:
Important Note: If inbound messages are redacted, Plivo cannot debug or recover message content if there are any issues with the callback URL.
Default Settings for Outbound and Inbound Messages
Standard policy ensures the accessibility of outbound message content for 7 days and destination numbers for 90 days. After this period, both message content and numbers are stored in compliance with GDPR. This policy similarly applies to inbound messages, facilitating content and number access under the same terms.
These features depend on the selected storage settings and are available unless message data has been redacted. Users can explore this data via the Messaging Logs section of the console — with options to review a specific timeframe or search a UUID to retrieve message details.
Discover more about our message log redaction processes in our developer documentation.

What Are AI Customer Service Agents?
Learn how customer service AI agents provide 24/7 support, automate responses, and personalize interactions with real-life use cases.
Great customer service keeps people coming back. But too often, long wait times, generic responses, and unresolved issues push them away. 65% of consumers switch brands due to poor service, costing businesses billions every year.
Traditional chatbots were meant to help, but they often miss the mark. However, owing to the evolving complexity and the volume of customer enquiries, they struggle with context, can’t handle complex questions, and often frustrate customers.
In this scenario, customer service AI agents offer a better way.

Unlike basic chatbots, they understand intent, remember past interactions, and provide helpful answers instantly.
The result?
Faster responses, lower costs, and happier customers.
If you’re looking to improve your support without sacrificing quality, AI agents might be the answer.
Let’s take a closer look at how they work.
What is a customer service AI agent?
Customer service AI agents, particularly those utilizing agentic AI, represent a significant advancement in artificial intelligence. Unlike generative AI, which focuses on creating new content, agentic AI is designed to autonomously understand, plan, and execute specific tasks without human intervention.
So, they understand context, intent, and even tone, making their responses more accurate and human-like.
How customer service AI agents work

AI agents work in a systematic manner that includes the following steps:
1. Perception and data collection
Customer service AI agents gather information from customer interactions, purchase history, and social media. This helps them understand customer needs. Advanced AI processes data in real time to provide accurate responses.
2. Decision making
AI analyzes patterns using deep learning. It selects the best response based on past interactions and the current context. Over time, it improves by learning from previous experiences.
3. Action execution
Based on its assessment, the AI responds, processes, or escalates to human agents, delivering fast and relevant customer support.
4. Learning and adaptation
Lastly, AI refines its responses with each interaction. It updates its knowledge base and adapts to customer needs. This helps businesses stay responsive and efficient.
Key benefits of customer service AI agents
About half of the customers in a Salesforce survey are comfortable with AI improving product quality and delivering better service.
Let’s have a closer look at some of its benefits:
24/7 availability and instant response
Customers expect support anytime, whether early morning or late at night. AI agents ensure your business is always accessible, providing instant, timely responses. Unlike human teams, they don’t need breaks or shifts, making round-the-clock support effortless.
Faster resolutions, happier customers
Long wait times can frustrate customers and lead to unsatisfactory interactions. Customer service AI agents process queries instantly, reducing response times and improving satisfaction.
Whether answering FAQs or troubleshooting simple issues, they help customers get solutions without waiting.
Handles high query volumes efficiently
During peak hours or seasonal spikes, customer service teams struggle with high volumes. AI agents can handle thousands of queries at once and reduce wait times.
Data-driven personalization
AI agents analyze past interactions, preferences, and behaviors to tailor responses. For example, if a returning customer inquires about an order, the AI can retrieve details instantly, providing a smooth experience.
Reduces workload for human agents
Repetitive questions like order status or refund policies can take up a lot of time. AI agents handle these, freeing human agents to focus on issues that need empathy or expertise.
This improves efficiency and prevents burnout in your customer service team.
Human-like conversations with context retention
Basic chatbots often give generic answers, forcing customers to repeat themselves. AI agents remember past conversations, understand context, and provide relevant responses. This makes interactions feel natural and seamless.
How are customer service AI agents different from chatbots
AI agents are the latest innovation in automated customer service, while chatbots have been around for quite a while. Let’s look at how they compare:
Use cases of customer service AI agents in ecommerce
A Salesforce study highlights the perceived “blistering pace” of AI advancement. Nearly half of customers expect AI to match human cognitive abilities within the next decade, and almost a quarter predict this by 2029.
With AI agents performing many cognitive tasks, such as logical reasoning and decision-making, we can only expect them to become more sophisticated.
Here is how ecommerce businesses are currently using AI agents to amplify their potential in customer service:
Automated order management
Amazon, one of the largest e-commerce platforms globally, handles millions of customer transactions daily with AI agents. Its customer service AI agent helps customers check order status and estimated delivery times. Here’s how:
- Order status tracking: Customers can use Amazon’s AI assistant via the “Your Orders” section on the website or app. The AI agent provides real-time updates on order status, such as whether the item is shipped, in transit, or delivered.

It can also clarify issues like delayed shipments or missing items by accessing detailed shipping data.
- Estimated delivery times: The AI assistant provides accurate delivery estimates based on factors like shipping method, location, and current logistics conditions.

Personalized shopping assistance
According to 2023 Salesforce research, 81% of consumers can rethink their budgets to get more personalized experiences. This data is enough to push big brands like Sephora to invest in AI agents for hyper-personalization.
Sephora’s virtual artist uses AI-driven insights to suggest beauty products tailored to individual users. This is how it works:
- Virtual try-on: The app uses augmented reality and facial recognition technology to allow users to virtually try on makeup products like lipstick, eyeshadow, and cheek colors.
- AI-powered product recommendations: With ModiFace’s AI technology, Sephora analyzes uploaded photos or live camera feeds. It detects facial attributes and matches shades to suggest compatible products from its inventory.
For example, users can upload a photo or select a color from an image, and the AI engine identifies matching lipsticks, eyeshadows, or blushes available for purchase. - Shopping integration: After trying on products virtually, users can instantly add them to their shopping basket within the app for seamless purchasing.

24/7 customer support
H&M’s chatbot is available 24/7 to help customers pick their favorite outfits. Whenever a customer has any doubts about their size or style, the chatbot steps up to help. It analyzes customer preferences and measurements to recommend sizes based on past purchases or general sizing charts.

Their virtual stylist gives perfect suggestions by asking customers about their preferred styles, favorite styles, or occasions they are shopping for. It also provides real-time information on product availability when customers inquire about specific items.
AI-powered returns & refunds processing
Zappos, known for its outstanding customer service, utilizes AI chatbots to handle a wide range of customer queries, including returns and refund processing. It guides the customer through a step-by-step process for a seamless experience.

The AI agent directs customers to sign in to their Zappos account and navigate to “view orders/return items.” Users can select the items they wish to return and choose their preferred return label or carrier.
The brand also uses AI to automate the creation of pre-paid return labels or QR codes, which can be printed or used digitally for drop-off.
Customers can use the chatbot to check the refund status post-return, which typically takes up to 30 days for inspection and processing.
Abandoned cart recovery
Another popular e-commerce platform, Shopify, uses AI agents to simplify customer service. It impressively leverages AI chatbots to send personalized emails or SMS to recover lost sales.
The AI identifies customers who leave items in their cart without completing the purchase. It then automatically sends personalized follow-up messages to remind them of the items, often including exclusive discounts or limited-time offers to encourage checkout.

The chatbots can also analyze customer browsing behavior, purchase history, and preferences to create personalized recommendations or tailored messages.
Fraud detection & prevention
AI has upgraded the customer service landscape. But on the flip side, its rapid rise is fuelling a fraud surge in e-commerce globally, exceeding US$48 billion in losses in 2023.
To tackle this, PayPal uses sophisticated AI agents to flag unauthorized transactions and assign risk scores to each transaction to identify suspicious activity. If any unusual activity is detected in accounts or merchant sites, it notifies users immediately to prevent costly transactions.

Voice-activated shopping assistance
Walmart uses AI agents to make shopping a breeze. Customers tell Google to place their order, and the Google Assistant will add items directly to their cart. The technology looks through prior purchases to ensure the appropriate items are added to the shopping cart.
For example, if a customer asks Google Assistant to add milk to the cart, it will add the one the customer has purchased.
This makes the process so much easier, as customers don’t have to name the product brand or type; just saying the word ‘milk’ is enough. It also works well on iOS, including iPhone, iPad, and Apple Watch. Customers simply need to pair their accounts, and they are good to go.

Offer hyper-personalized customer support with Plivo CX’s AI agents
Plivo CX is an omnichannel customer service platform that leverages AI to help businesses deliver smooth and seamless customer service. It delivers fast, accurate responses, ensuring customers always get the help they need.

With continuous learning and seamless integrations, it improves efficiency while staying true to your brand’s voice.
Here’s how Plivo CX’s AI agents can help you:
- 24/7 support: Provides round-the-clock assistance without downtime
- Smart integrations: Connects with CRM, billing, and support systems for precise answers
- Open AI-powered agents: Manages sales, retention, and customer engagement with specialized AI
- Conversational AI: Uses verified company data to provide clear and reliable responses via a self-service chatbot that is developed by OpenAI
- Omnichannel support: Engages customers via voice, WhatsApp, chat, and more
- Sales & engagement boost: Sends AI-driven cart reminders, offers, and proactive messages
- Real-time insights: Monitors resolution rates, pain points, and customer satisfaction
- Enterprise-grade security – Ensures GDPR compliance, bank-level security, and 99.99% uptime
Start building better customer experiences with AI. Book a demo today.

Support Agents: Who Are They, and What Do They Do?
Support agents serve as a middle ground between your company and its customers. Let’s see some steps to hire the best and build a functional team.
Needless to say, customer support is a vital organ for business success, directly affecting customer satisfaction, loyalty, and revenue. In fact, a study notes that in 2024, poor customer experiences cost organizations worldwide an estimated $3.7 trillion, marking a 19% increase from the previous year.
Customers often switch companies if they don't receive good customer service, regardless of product satisfaction. Conversely, they are often willing to go out of their way to do business with a company that offers better service.

Support agents are at the forefront of delivering these sensitive experiences, making their role crucial in fostering customer relationships and driving business growth.
In this article, we’ll explain who they are, what they do, the essential skills needed to become one, and some steps to build your support team with the best support agents.
Who are support agents (and who are they not)?
A support agent is a trained representative of your company primarily tasked with resolving customers' complaints, answering inquiries, and providing usage guidance on your company’s products and services.
Beyond handling tickets, they also provide emotional support by ensuring customers feel heard, valued, and reassured throughout the interaction. This, in turn, strengthens customer trust and loyalty.
Support agents play a vital role in enhancing customer satisfaction—which indirectly drives ROI through repeat purchases—but they are not sales representatives or marketers. Marketers and sales reps acquire customers and sell.
On the other hand, support agents retain these customers and boost repeat purchases through efficient assistance.
4 primary responsibilities of a support agent
A support agent's primary responsibilities include serving as the first point of contact, handling queries, providing proactive support, and gathering essential feedback.
1. Serving as a brand's first-line contact
When things go wrong, customers become frustrated and demand to speak with anyone—even the CEO. Your support agents step in to act as the first line of defense, de-escalate situations, and provide solutions professionally.
They also represent your brand through every empathic response, ensuring customers leave with a positive experience and a lasting impression of excellent service.
2. Handling customer inquiries
Customer support agents handle all customer inquiries. Depending on the technicality of the query, they might sometimes involve a specialist or higher executive.
For instance, if a customer has a dispute over billing that involves policy exceptions, your agent might need to coordinate with or escalate to a higher executive for approval.
3. Providing proactive support
Support agents detect customer needs ahead of time and promptly contact them even before they log a complaint. This helps reduce inbound tickets and boosts customer satisfaction.
As an omnichannel customer support platform, Plivo CX’s proactive service enables your support team to provide a more refined and automated proactive support.

4. Gathering feedback to optimize product offerings and marketing
Your support agents are the most valuable source of feedback since they interact with customers daily. They can help you gather recurring concerns, pain points, and suggestions that drive meaningful product improvements.
Plivo CX’s metrics tool automates this feedback collection process and ensures your agents focus on core tasks instead.

Essential soft skills of a good support agent
Being a support agent involves not only resolving queries but also understanding and communicating with customers on a personal level. This is why certain soft skills, beyond technical competency, are essential when recruiting one.
Active listening and empathy
Active listening involves paying close attention to every word and emotion communicated rather than focusing solely on the problem.
Unsurprisingly, active listeners excel at expressing empathy since they’re more likely to understand how customers feel better. This deeper connection allows them to communicate effectively, provide reassurance, and de-escalate tense situations.
Good communication skills
A good support agent must convey their points concisely while considering the appropriate tone.
They know when to avoid passive-aggressive words such as “actually, ought to,” colloquialisms, and slang to maintain clarity.

Adaptability
Different customers present with different complaints, personalities, and communication styles. Some are patient and easy to communicate with, whereas some are aggressive and impatient.
So, a one-size-fits-all approach won’t work, and that’s why an ideal support agent must be able to adapt to each high and low while maintaining efficient support delivery.
Problem-solving skills
Customer support playbooks are valuable, but not every customer complaint will fit neatly into predefined solutions. Situations like this require your support agent to think outside the box while staying within your company’s guardrails.
A good support agent must be able to devise quick solutions to new problems and escalate as soon as possible when necessary.
6 steps to hire the right support agent and build a functional support team
Your support team can either make or mar your business. Hiring the right agent and building a functional team is, therefore, essential. Let’s see how to do that.
1. Define your staffing needs and ideal agent
You can figure out how many support agents to hire based on your historical ticket volume, scale of business expansion, and anticipated growth in the next quarters. This ensures you don’t over-hire and bloat your expenses or under-hire and cripple your support delivery.
Plivo CX’s reporting and metrics tool provides a comprehensive ticket summary, which helps you determine your historical ticket volume.

Simultaneously, you need to define who your ideal agent is—that is, the skills they should preferably possess, availability, technical proficiency, lingual capacities, and experience. You can diversify your recruitment process if you’re catering to multilingual audiences.
Once you’ve identified your staffing needs and ideal candidate profile, you can post your job listing on your company’s career page and on popular job boards like LinkedIn to attract qualified applicants.
2. Prioritize agents with empathy and problem-solving skills
You need a team of agents who can dialogue with different kinds of customers, resonate with them emotionally, and make them feel heard while providing adequate support. That’s why you should prioritize agents with empathy.
Also, look for agents with strong problem-solving skills—someone who can think quickly on their feet and provide solutions to out-of-the-script problems.
Tools like TestGorilla and Testify help you assess your applicant’s skills and ability to address different scenarios. For a more tailored assessment, present candidates with real scenarios or past customer complaints from your database and ask them to resolve the issue.
3. Test for relevant technical competency
Technical competency is your support agent’s ability to resolve customers’ technical queries. This could include troubleshooting software issues and providing answers to product-specific technical queries.
Usually, your agents don’t need to be tech geeks or specialists for L1 tickets. An entry-level customer support agent with the necessary soft skills can do a great job here.
However, it’s a different ball game for agents managing L2 and L3 tickets. They should have the necessary expertise to manage complex and product-related technical issues like specialists.
This primarily hinges on their hard skills portfolio, which you need to consider when hiring. Provide real-world scenarios to assess these skills and ensure they genuinely have what it takes to be your ideal agents.
4. Provide comprehensive agent training
From the onboarding stage, you need to identify the gaps in your hires’ competencies and design individualized or group training to boost their efficiency. Training can include soft skills, lingual capacity, and upskilling hard skills for more proficiency.
Agent training is not a one-time process. Plivo CX’s coaching tools help your agents leverage past interactions with customers to continuously refine their delivery—how to respond or handle similar situations when they arise again.

5. Equip your support agents with AI-powered tools
Gartner notes that more than 80% are either using or planning to integrate AI-powered chatbots in 2025. Advanced chatbots are essential because they can handle the majority of L1 tickets, thus freeing up your agents to do other complex tasks.
An example is Plivo CX’s openAI-powered AI chatbot, which can leverage your database in real time to make decisions, autonomously handle refund requests, modify orders, and make personalized recommendations.

Your team also needs an omnichannel platform that centralizes all communication channels into a single dashboard. This allows agents to access everything they need without constantly switching tabs, ultimately improving response time and efficiency.
An example is Plivo CX’s unified agent desktop designed to eliminate data silos, unify all incoming customer requests, and integrate with homegrown systems, CRM, ERP, helpdesk, and more.

6. Establish KPIs and reasonable expectations
Establish KPIs, such as first response time, average resolution time, and first contact resolution, to assess the efficiency and effectiveness of your support agents.
Customer Satisfaction Scores (CSATs) will help determine whether customers are getting the help they need and how they need it.
Plivo CX’s agent metrics and reporting tool enables you to monitor and measure your support agent’s performance while exposing gaps that need filling.

You also need to set individualized, SMART expectations and goals for your support agents. Ensure each agent does not handle more tickets—whether in quantity or complexity—than they can. This will reduce the incidence of customer service burnout and enhance the quality of your support delivery.
Scale your customer support operations with Plivo CX
Hiring the right support agent is just one part of building a functional customer support team. You also need to provide them with the right tools to enhance their efficiency and effectiveness.

That’s where Plivo CX comes in.
As an omnichannel platform designed to streamline support delivery, Plivo CX offers a unified agent desktop to centralize your support channels, multilingual AI-powered voice support, and OpenAI-powered chatbots to slash your ticket queue.
We also offer:
- Seamless integrations: Connect Plivo CX with your existing tools, including CRM, ERP, helpdesk, and more.
- Data-driven optimization: Track real-time analytics and generate custom reports to gain insights into customer interactions and agent performance.
- AI-enhanced efficiency: Prioritize urgent tickets, ensure brand consistency, and adapt quickly to changes with AI-powered support.
- Rich communication: Enhance interactions with multimedia support, including images, videos, and documents.
- Increased productivity: Streamline workflows with message templates, internal notes, and skills-based routing.
- Comprehensive features: Leverage call recording, IVR, multi-language support, and robust security features for a complete solution.
Book a demo today and start building a world-class support team with Plivo CX.

The Power of Multilingual Customer Support: 7 Must-Know Strategies
Multilingual customer support enhances user experience and expands global reach. Let’s explore its benefits and best practices for implementation.
It’s ten minutes past 2 pm. A new high-value customer submits a technical complaint—but, in Spanish. The problem? None of your service reps speak Spanish.
Now, you have only two options.
First, you say, “Thank you for reaching out. We currently accept queries only in English. Please resend your message in English so we can assist you. Thank you for your understanding!"
Or, you scramble from Google’s translator to other free versions of online interpreters, which might give you an inaccurate response.
Whichever you choose, your customer will likely not find it encouraging. Your inability to efficiently serve customers in their native language passes a message; that they’re not a valued part of your brand.
According to Hyken’s report, 65% of consumers want to be treated valuably. Failure to deliver this expectation results in a poor support experience, increased churn rates, and a negative brand reputation.
To avoid such outcomes, you need to implement multilingual customer support, and this article will show you how to do that.
What is multilingual customer support?
Multilingual customer support is the ability to provide consistent, high-quality assistance in multiple languages to your customers while accounting for geographical, cultural, and contextual differences that influence communication.
As your business scales, there is also an increasing need to serve a diverse market audience. This mandates your support team to be capable of sustaining interactions with individuals of different languages outside your native business borders.
Even within your business borders, you’re bound to interact with customers of different linguistic needs. According to the United States Census record, the number of residents who utilize other languages besides English has nearly tripled in the last decade.
So, you must be ready to cater to this diversity once necessary.
Benefits of multilingual customer support
Multilingual support increases customer satisfaction, boosts retention, and ensures you can tap into diverse markets for more opportunities. Here’s how it does that:
Improved customer satisfaction
According to Unbabel’s 2021 multilingual CX report, one in three global consumers cite a lack of multilingual support as their top concern in localized customer experience.
Uni- or bilingual provisions lead to frustration since your customers can’t express themselves the way they want, and this culminates in a bad customer experience.
On the other hand, providing multilingual support can enhance customer satisfaction and boost your customers’ LTV. This explains why 64% say they will pay more for a service or product if the brand offers a multilingual support service.
Higher customer retention
57% of global consumers see it as a bias when a brand fails to offer multilingual support. Two in three will also switch to another brand if their current brand does not offer broader language support.
But what happens if you fill up this communication gap? 73% of respondents in Unbabel’s survey say they will remain loyal.
This means multilingual provisions can help you retain your existing customers and also gain an edge over your competitors in attracting new ones.
Interestingly, 40% of consumers will likely overlook poor customer service many times if it is offered in their native language. This gives you enough time to address issues plaguing your support delivery before customers bounce.
Broader reach and competitive advantage
Scaling your business often requires crossing borders and serving new audiences. Multilingual support ensures you can easily resolve the issues coming up in these regions, eliminate communication barriers, and rapidly build a robust brand reputation.
Also, multilingual support can serve as the spearhead of your competitive advantage in new markets. That’s because your potential customers will likely choose you over competitors who do not offer multilingual support, all things being equal. So, you can make it a focus of your marketing strategy.
7 must-know strategies to implement multilingual support
One in four consumers say they will not spend more than $500 on brands offering limited language support. You can avoid this by implementing a sturdy multilingual support system.
Let’s go through how you can do that.
1. Be upfront about your available language options
First, inform your customers and audience about your current capacity. Include the languages you support on your website, applications, social media profiles, and customer support pages.

This helps to manage customer expectations and reduce frustrations pending the time you make provisions for multiple languages.
2. Embrace diversity in recruitment
The most direct approach to creating a multilingual support system is to recruit multilingual customer service reps. These reps are especially crucial for managing L2 and L3 tiers of requests that AI might not be able to handle.
Ensure you have at least one native or non-native representative for each region you serve. You can also organize language training for your existing service reps instead of overhauling the entire team.
This reduces your employee acquisition cost and helps you work with people already in tandem with your support operations.
3. Use AI chatbots to provide multilingual support
Advanced AI chatbots use ML and NLP to analyze user inputs such as complaints and provide appropriate responses while leveraging customer data. This is like having an inbuilt translation system, making them a good fit for handling multilingual L1 requests regardless of the language.
As an omnichannel platform designed to scale your support team, Plivo CX offers an OpenAI-powered chatbot capable of handling multilingual tickets and addressing your customers in the language they choose.

4. Integrate multilingual voice support
According to a 2024 report from Statista, 54% of customers prefer to resolve issues via phone calls over other digital channels and email. To cater to this group, you need to integrate multilingual voice support technology.
An example is Plivo CX’s voice software, which prompts your customers to choose their preferred language from over 27 supported languages right on the call.
With an integrated programmable IVR, your callers can self-select options for quicker routing, shorter wait times, and faster resolution.

5. Offer language preferences in self-service options
Self-service options include FAQs, knowledge bases, chatbots, AI-powered virtual assistants, and community forums. Your customers must be able to choose their preferred language of interaction on all of these platforms in order to cater to their needs.
Additionally, ensure that automated responses, IVR systems, and in-app customer support are available in multiple languages.

6. Train support agents in cultural sensitivity
Multilingual support should cater to lingua-cultural nuances that affect communication. Otherwise, you risk irking your customers.
For instance, there are certain words or expressions that might be normal in American English but seen as aggressive in British English.
One example is the word “sure.” To an American, it’s simply a means of acknowledgment. But it could come off as passive-aggressive to a non-American.
Train your support reps to understand these nuances and avoid them when speaking with individuals of different cultural backgrounds.
7. Localize knowledge base and FAQs
Language location refers to adapting your website content to a visitor’s regional language based on factors like their browser settings, IP address, or geographical location.
o do this, you first need to translate your knowledge base and FAQs into the different languages you support. You can do this manually or with AI. Then let your web development team handle the transitioning.
This method spares customers the hassle of manually selecting their preferred language. However, you should still offer a visible option on your support pages for them to adjust language preferences if needed.
Deliver modern multilingual support with Plivo CX
Language differences stifle quality support delivery and effective communication.
To help you, Plivo CX offers a multilingual omnichannel support system through its Unified Agent Desktop, OpenAI-powered agentic chatbot, and inclusive voice support to help you overcome these challenges.
We also offer:
- Seamless integrations: Connect Plivo CX with your existing tools, including CRM, ERP, helpdesk, and more.
- Data-driven optimization: Track real-time analytics and generate custom reports to gain insights into customer interactions and agent performance.
- AI-enhanced efficiency: Prioritize urgent tickets, ensure brand consistency, and adapt quickly to changes with AI-powered support.
- Rich communication: Enhance interactions with multimedia support, including images, videos, and documents.
- Increased productivity: Streamline workflows with message templates, internal notes, and skills-based routing.
- Comprehensive features: Leverage call recording, IVR, multi-language support, and robust security features for a complete solution.

What is Interactive Voice Response (IVR)?
Explore IVR meaning, how it boosts customer service, reduces costs, and streamlines call routing with 24/7 self-service options.
“Press 1 for Billing,” “Press 2 for Account Information” — you’ve probably heard this before, right?
That’s an interactive voice response (IVR) system, and it does a lot more than just guide callers through a menu. It’s often one of the very first brand impressions your customers receive.
But why does it matter so much? Because your customers crave autonomy. In fact, research shows that over 80% of consumers want more self-service options, and many are calling for these solutions to be smarter.
A well-designed IVR doesn’t just route callers to the right department — it understands their needs and can even boost your team’s efficiency.
In this guide, we’ll explain IVR’s meaning, how it works, and tips to optimize it for a seamless customer experience. Let’s begin!
What is an IVR?
IVR is a telecommunication technology that automates customer interactions over the phone. It allows callers to access information, make requests, or complete tasks using voice commands or menu inputs — no live agent required.
The technology uses pre-recorded messages, speech recognition, and dynamic menus to guide callers to the information or service they need with ease. It's similar to a 24/7 virtual assistant that transforms how businesses manage customer interactions.
Here’s what an IVR can do:
- Automatically answer and route calls to the right department.
- Offer self-service options, like checking account balances or appointment scheduling.
- Collect caller data for smoother follow-ups.
- Integrate with databases to deliver personalized responses.
Think of IVR as your business’s first line of defense. It handles repetitive tasks while seamlessly forwarding complex issues to human agents based on factors like agent skills, call volume, or even time of day.
Industries like banking, healthcare, and customer support rely on IVR systems to:
- Improve accessibility with 24/7 availability.
- Reduce wait times for callers.
- Manage high call volumes.
How does IVR work?
IVR systems are versatile and can operate on both public switched telephone networks (PSTN) and voice over Internet Protocol (VoIP) networks.
At their core, IVR systems rely on a combination of components to function effectively:
- A Transmission Control Protocol/Internet Protocol (TCP/IP) network: Ensure connectivity to both the internet and internal intranet systems.
- Databases: Provide necessary data for IVR applications to deliver accurate and relevant responses.
- Web/application server: Host IVR software applications, typically written in VoiceXML. These applications can handle various tasks, such as managing contact centers, conducting outbound sales calls, or performing speech-to-text transcription.
From these components, three primary types of IVR systems are made:
Touch-tone replacement
This system uses keypad inputs to guide callers. For instance, a prompt might say, "Press 1 to check your account balance," and the caller responds by pressing the corresponding number on their keypad.
Directed dialog
With this approach, callers are guided through verbal prompts based on their inquiries. For example, the system might ask, "Are you calling to check your account balance or update your contact details?" The caller then responds with "Check my account balance."
Natural language
The most advanced type, this system leverages speech recognition to understand more complex user inputs. A prompt like, "How can I assist you today?" allows callers to reply conversationally, such as "I want to check my account balance" or "I’d like to update my email address."
Let’s understand an IVR call flow with a simple example.
A customer calls a healthcare provider to book an appointment. The IVR system greets them with a friendly message and offers language options for accessibility.
Next, it presents a menu of choices, such as scheduling an appointment, checking the status of test results, or connecting with a live representative. The customer can either press the corresponding number on their keypad or say the desired option aloud.
The IVR system processes the input and takes the appropriate action. This might include providing pre-recorded information about:
- Available appointment slots.
- Transferring the caller to a scheduling agent.
- Collecting additional details like the patient’s name and preferred time.
Benefits of IVR for businesses
The IVR market is thriving, with North America expected to drive 40% of its growth in the coming years. Here are six main benefits of IVR for businesses:
1. Reduces operational costs
IVR systems for businesses save money by handling routine inquiries, reducing the strain on customer service agents. In fact, next-gen IVR solutions have shown to cut live-agent calls by over 10%.
Plus, they enable 24/7 service without additional staffing costs.
For enterprises, a single IVR system handles call flows for multiple applications, simplifying operations. Customizing IVR menus for each use case enables businesses to scale efficiently while maintaining cost control.
2. Improves first contact response rate (FCR)
Well-designed IVR systems for businesses can handle many inquiries on the first call. Research shows IVR self-service reaches a 74% FCR rate, and customers often prefer it over IVRs that just pass them along to live agents.
This success comes from handling simple tasks like confirming orders, checking balances, or viewing status updates — no human intervention needed.
3. Enables call routing and triage
Studies show that 44% of boomers, 30% of millennials, and 24% of Gen Z shoppers are likely to switch to a competitor after a single negative experience. Instead of risking that churn, use an IVR system to prioritize your most valuable callers and move them straight to the front of the line.
With smart triage and call routing technology, you can:
- Give VIPs top priority so they never wait without reason.
- Direct customers to the right team or agent based on location, priority, sentiment, intent, or language.
- Quickly review which callers are in the queue and what they need.
- Trigger dynamic changes to call priority or routing destinations as customers enter the queue.
- Seamlessly connect callers to the first available agent to speed up resolutions.
4. Provides personalized support
63% of customers want an IVR experience that speaks directly to their unique needs, not just a generic menu. They’re looking for personalization beyond superficial marketing approaches. IVR can help by offering:
- Language options that make callers feel understood from the start.
- Custom greetings that acknowledge their history with your brand.
- Tailored promotions and product suggestions that suit their past purchases or inquiries.
5. Enhances workflows
High call volumes can strain call centers, especially during busy periods. An IVR system eases the workload on agents and streamlines operations. Here’s how:
- Offer voicemail or scheduled callbacks instead of long wait times.
- Direct callers to the appropriate team or specialist.
- Guide callers to your website or present additional options via a recorded message.
- Deliver immediate answers to common questions through pre-recorded messages.
6. Helps understand customer behavior
IVR interactions generate valuable data on caller preferences, common inquiries, and recurring pain points. Analyzing these insights informs strategic decisions, enabling you to refine your services and better meet customer expectations.
IVR use cases
IVR systems play an important role across many industries, serving multiple functions. Here are some of the most common applications of this technology:
Auto attendant
When someone calls your number, they hear a simple menu. For example:
- Press 1 for Sales.
- Press 2 for Support.
- Press 3 for Billing.
It’s fast, smooth, and eliminates the need for a human operator to manage incoming calls.
IVR covers after hours too. It can automatically handle voicemails, ensuring no call is ever missed. This means your team can follow up promptly, leaving a great impression.
The result?
- Reduced workload for live receptionists.
- A polished, professional experience for your customers.
- Every call is handled with care, no matter the time of day.
Payments and banking
Banks use IVR systems to help customers perform tasks like checking account balances, making payments, or reporting lost cards without waiting for a representative.
For instance, when you call Wells Fargo, you’re prompted to enter your account or card number. The system then offers personalized options, such as reviewing transactions or checking payment statuses.
Support surveys
IVR systems for businesses aren’t just for managing inbound calls; they’re equally effective for outbound campaigns. Businesses and organizations can use them to automate surveys and gather customer feedback.
For example, a healthcare provider may use an IVR technology to remind patients of upcoming appointments and ask about their recent experience with services.
Similarly, a telecom company might conduct automated surveys to measure customer satisfaction after resolving a support issue.
Lead assignment and routing
An IVR system makes it easier to qualify leads and connect inbound sales calls to the right sales representative. It asks targeted questions to understand the customer’s needs, budget, or preferred products.
For example, an automotive dealership can use the IVR to route inquiries about new cars to a sales team specializing in that area, while calls about financing options are directed to a financing expert.
Key considerations for choosing an IVR solution
Choosing the right IVR solution for your business is a critical decision. Here are the key factors to focus on:
Customizable call flows
A customizable call flow lets you design personalized IVR experiences tailored to your customers’ needs. With this feature, you can create workflows that guide callers through specific communication channels based on their preferences.
Efficient call routing
The best IVR systems for businesses offer intelligent call routing capabilities. They can direct calls based on customer relationship management (CRM) data or predefined criteria to ensure each caller reaches the right agent.
Speech recognition and DTMF support
An effective IVR system should offer robust speech recognition and dual-tone multi-frequency (DTMF) capabilities. This allows customers to interact with the menu by speaking or pressing buttons, making the process intuitive and accessible for everyone.
Seamless integration
Look for an IVR system that integrates easily with your business tools — like payment processors, workforce management software, and CRM platforms. These integrations ensure the IVR has all the information needed to handle tasks without a hitch.
Comprehensive analytics
Strong call insights and reporting features let you track patterns and identify common customer queries. Use this data to make informed decisions, improve your service, and address recurring issues effectively.
Best practices to implement an IVR system
Here are five IVR best practices that help improve productivity and provide a great customer experience:
Keep the IVR menu simple
A successful IVR self-service system should be simple and user-friendly. Long and complicated menus can frustrate callers, leading to hang-ups.
Stick to a main menu with five options or fewer, while ensuring all essential needs are covered. Always provide a clear path to connect with a support representative if needed.
As an example, look at this IVR menu:
"Welcome to Zenith Tech Solutions:
- For technical support, press 1.
- For billing inquiries, press 2.
- To speak with a sales representative, press 3.
- To reach the HR department, press 4.
- To speak to an operator, press 0."
This menu is clear, relevant, and ensures that customers can reach a human representative when necessary.
Use audio streaming for customer insights
Audio streaming integrated with AI-based tools helps businesses:
- Deliver smarter voice-based services.
- Analyze conversations for deeper insights.
- Enhance user interaction.
Plivo’s Audio Streaming capabilities detect emotions like frustration or satisfaction during a call. If it senses an issue, the system can instantly adjust its response or transfer the customer to a live agent for a more personalized touch.
With Plivo, you can also build AI voice agents to handle common queries instantly, making customer service faster and more efficient.
Additionally, Plivo’s integrations enable real-time transcription to convert conversations into text seamlessly. Need multilingual support? Plivo connects with live translation tools, making it effortless to communicate during meetings or conferences in any language.
Optimize call queues
Waiting can be frustrating, but honesty and transparency can make the experience more bearable for customers. In fact, a survey found that 47.84% of customers feel estimates and updates significantly improve their waiting experience.
One way to handle this is by implementing an IVR solution with a callback feature. This prevents long hold times and helps customers continue their day while waiting for a response.
Another approach is to use IVR to handle low-priority calls and reduce average handling time (AHT). Directing callers to pre-recorded messages with helpful information can solve their problems efficiently.
For example, Plivo’s PreAnswer feature allows businesses to play custom caller tunes or automated messages after a call is transferred but before it's answered. It can be used in various ways.
For instance, if your team is frequently answering the same question, you could use this feature to play a pre-recorded message with an answer to this query.
If the caller gets the information they need, they can disconnect satisfied, letting your team handle more complex tasks.
Implement personalization
76% of consumers say personalized communication is a major factor when considering a brand. Plus, 78% are more likely to repurchase when they feel the content speaks directly to them.
This applies to your IVR system, too. Connecting your IVR to customer data facilitates customized experiences that make every interaction feel personal.
So, when a customer calls your helpline after recently booking a travel package. Instead of a generic greeting, they hear, “Hello, Sarah! We see you’ve recently booked a trip to Paris. Are you calling about your travel itinerary, or do you need assistance with something else?”
It’s about showing you understand what they care about. A personalized IVR system makes customers feel valued and turns routine calls into meaningful conversations.
Monitor and adjust regularly
Once your IVR system is up and running smoothly, it’s tempting to leave it as is. But businesses evolve, and so do their needs. Departments shift, processes change, and some may no longer exist.
To keep your IVR effective, regularly review and update your menus. Ensure they align with your current business structure and customer needs.
Don’t stop there — update greetings, hold messages, announcements, and any other pre-recorded messaging. These small changes ensure your IVR stays relevant and provides a seamless customer experience.
Improve your customer service with Plivo’s smart IVR
The world is rapidly shifting towards AI, and your customer support should too. Traditional IVR systems with rigid menus just aren't cutting it anymore.
Smart IVR takes things to the next level by using artificial intelligence, contextual awareness, and data-driven insights to deliver more intuitive and personalized caller experiences.
Plivo is here to help you make that transition effortlessly. Our Smart IVR uses AI voice agents and advanced audio streaming to transform your traditional IVR into a smarter, more efficient system.
This means faster interactions, reduced agent burnout, and happier customers — all while streamlining your operations.
On top of that, Plivo offers powerful features such as:
- AI-Powered functionality: Let customers speak naturally instead of pressing buttons. Our integration with Large Language Model (LLM), Speech-to-Text (STT), and Text-to-Speech (TTS) providers makes launching voice bots a breeze.
- Automated support: Handle routine inquiries automatically, freeing your team to tackle more complex issues.
- Crystal-clear audio: Deliver high-quality audio across 220+ countries and territories, ensuring smooth and professional conversations.
- Enhanced customer insights: Gain valuable data from interactions to refine your services and meet customer demands effectively.
- Fully customizable menus: Design multi-level menus tailored to your business needs, complete with personalized greetings using pre-recorded audio or text-to-speech technology.
- Easy setup: Simple APIs and XML integration allow you to quickly create and manage custom IVR workflows without hassle.
- Smart call routing: Direct calls based on input, agent skills, or even business hours, ensuring customers are always connected to the right person.
- Outbound IVR support: Custom menus for outbound campaigns like surveys or voting make engagement effortless.
Plivo’s IVR system isn’t just a tool; it’s a way to enhance your customer service and streamline operations. Ready to elevate your communication? Contact us today to learn more!

RCS vs. SMS: Comparing Messaging Technologies
Compare RCS vs. SMS with their differences, use cases, and business advantages to choose the right strategy for customer engagement.
There are over 8.58 billion mobile subscriptions worldwide, making text messaging a game changer for how businesses connect with customers. Short Message Service (SMS) has long been a reliable and universally compatible choice for communication. Rich Communication Services (RCS), on the other hand, introduces advanced capabilities like rich media, read receipts, and branded messages that transform interactions.
While SMS boasts a massive user base of 9.3 billion subscribers, RCS has grown to 1.2 billion users, sparking a heated debate: RCS vs. SMS.
Engaging Android phone users through RCS chats or relying on SMS for a broad reach both offer unique advantages.
When businesses compare RCS and SMS, the key differences often include interactivity, compatibility, and cost. In this blog, we’ll explore SMS and RCS's features, business use cases, strengths, and limitations to help you find the right balance to meet business goals.
SMS: The standard since day one
SMS is a communication protocol that allows users to send short, text-only messages between mobile devices. It relies on cellular networks and not on an internet connection.
Therefore, it has been the backbone of mobile text communication for decades, as it virtually works with all mobile devices, including basic phones.
Are SMS and iMessage the same?
No, SMS and iMessage are not the same.
iMessage offers interactive features and allows multimedia-rich content sharing between two iOS devices. SMS only sends short, text-based messages between all mobile devices.
RCS: The new feature-rich customer engagement stream
RCS is an upgraded messaging protocol that relies on Wi-Fi or cellular data. It delivers an interactive experience with support for high-resolution multimedia, group chats, and other advanced features.
Are RCS and iMessage the same?
No, while they share similar features, RCS and iMessage differ.
iMessage is exclusive to Apple devices, while RCS is a universal protocol supported by various messaging apps on compatible devices.
RCS vs. SMS comparison
Let's explore the key differences between RCS and SMS for businesses evaluating their messaging strategies and deciding which option is best for them.
SMS vs. RCS messaging for businesses
SMS remains a cornerstone of business communication due to its universal compatibility with mobile devices and reliance on a cellular network.
Industries across the globe leverage SMS for fast, real-time connections—none more critical than emergency response services.
For example: Flight Vector, a dispatch solution provider for emergency medical services, revolutionized operations by adopting SMS through Plivo’s SMS API.
- The Challenge: Outdated pagers and unreliable email systems slowed emergency communications. Blocked messages or delivery uncertainty posed life-or-death risks.
- The Solution: Plivo’s SMS API delivered real-time confirmations, ensuring every critical alert reached the intended recipient.
- The Results:some text
- Over 460,000 SMS messages sent monthly without issues.
- Streamlined communication between dispatch centers, crews, and pilots.
- Real-time GPS updates for helicopter landing sites, improving response times and decision-making.
Flight Vector CEO Scot Cromer summed it up: “SMS is the future. If you don’t provide a texting solution, you’re going to be left behind.”
A 2022 survey showed a 75% increase in SMS usage due to its cost-effectiveness and ability to deliver messages even in low-network areas for critical alerts, notifications, and two-factor authentication (2FA).
RCS, on the other hand, provides businesses with interactive ways to connect with customers. Businesses are still realizing its potential — RCS adoption statistics suggest a 62% increase with 1.2 billion users. The growth comes with increasing RCS support from platforms like Google Messages and Apple.
Projections suggest an additional 900 million active users in the next two years.
Here’s a possible outlook for the mobile market in the coming years.

RCS: Use cases and advantages
Now that you’ve read about SMS's advantages and use cases, let’s focus on the benefits and potential use cases of RCS for business communication.
Deliver unforgettable customer experience
A Harvard Business Review survey noted RCS features provide richness in over-the-top (OTT) messaging with the universality of SMS.
Studies show that 90% of rich media messages are opened within 15 minutes, which increases customer engagement by up to 45 seconds per interaction. With RCS messages, businesses can engage users through:
- High-quality images, video messages, and GIFs.
- Delivery receipts and read receipts for transparency.
- Video calling capabilities for real-time interactions.
- Suggested replies and actions for seamless engagement.
- Location sharing to simplify navigation.
- In-message payment options for quick transactions.
- QR codes and sender verification for enhanced trust.
Harvard’s survey respondents emphasized the importance of these capabilities, with 81% highlighting the value of verified sender information.
Get verified for more trust
70% of consumers express concerns about the data security risks of brand texts. This is where RCS messaging’s most impactful features come into play — sender information verification.
Verification builds trust and helps brands avoid being flagged as spam. A verification authority, such as a mobile network operator (MNO), chatbot platform provider, or other specialized entity, can authenticate brands using RCS text messages.
Once verified, your brand’s logo, name, and status badge (e.g., a checkmark) will appear at the top of the conversation within the messaging app. Verified senders can confidently deliver messages to foster credibility and secure interactions across RCS-supported devices.
Merge RCS and OTT to develop better content
RCS is a powerful protocol that can complement existing communication channels like OTT to build trust and boost engagement.
Industries like healthcare and hospitality can leverage OTT for RCS communications to manage appointments, send reminders, and provide live support. For example, a hospital can use an interactive button to prompt patients to “schedule now” and book appointments directly through text.
Plivo’s WhatsApp Business API makes it easy for users to deploy WhatsApp for customer engagement with a low-cost solution. You can share rich media, including images, videos, documents, customized call-to-action (CTA) buttons, etc.
Also read: Quick Onboarding Guide to Get Started with the WhatsApp API
Get more conversions by utilizing customer data
With RCS features, businesses can showcase multiple products in a single message using image carousels, media cards, and GIFs. These chat features enhance the shopping experience when paired with CTA buttons that direct customers to checkout.
When RCS messaging becomes a tool in your omnichannel strategy, you can leverage customer data from sales, marketing, and operations to deliver personalized experiences.
Integrate RCS messages with your existing systems and channels and send engaging, media-rich promos to captivate audiences and drive conversions.
SMS: Use cases and advantages
Here is a list of SMS use cases and advantages that drive the trend.
Win trust with a personal connection
According to the Validity 2023 report, 19% of consumers prefer receiving updates via text messages, surpassing social media (16%), app notifications (6%), and direct mail (6%). This highlights the trust and reliability associated with SMS.
Additionally, SMS goes straight to the native messaging app. A direct connection to your customer’s mobile device makes communication much more personal than other channels. When recipients get a direct ping in the notification bar, they often read the text within seconds.
Businesses must implement effective SMS opt-in and opt-out mechanisms to ensure compliance and build customer trust.
Get an unbeatable return on your investment
SMS marketing is a standout performer for CFOs seeking measurable financial impact. It offers a cost-effective strategy for businesses of all sizes with almost 100% open rates, 45% response rates, and an unmatched return on investment (ROI) of $21-$40 for every $1 spent.
SMS is an ideal channel for time-sensitive communications, from flash sales to urgent updates. SMS short codes for high-volume messaging enable faster, more efficient customer engagement for events like Black Friday, during which SMS marketing has been shown to deliver an impressive ROI of up to 7433%.
To secure and seamlessly implement SMS for critical notifications like authentication, businesses can integrate Plivo with Okta for SMS verification.
Pro Tip: Combine SMS's universal reach with RCS's interactive features to watch your engagement metrics go through the roof.
Here’s a quick comparison table for engagement metrics for RCS vs SMS.
Do not worry about algorithms
Marketing on platforms like Google and social media often means playing with ever-changing algorithms that dictate content visibility.
Google's ranking criteria frequently change with core updates, while shifting social media algorithms can impact organic reach, forcing brands to rely more on paid promotions. These constant shifts create endless frustration and uncertainty for marketers.
On the other hand, SMS marketing offers a stable and reliable alternative.
Unlike search engines or social media, algorithms don’t control SMS content reach. Every SMS message lands directly in the recipient's inbox, giving you full control over communications without fighting for visibility or adapting to shifting guidelines.
Deliver messages with more impact
Human attention spans are shrinking, and SMS marketing can address this. Unlike long emails or intrusive calls, SMS delivers concise, high-impact messages that grab attention instantly.
SMS open rate is three times better than email marketing (37.3%), and the response rate is 9.3 times greater than cold calls (4.8%).
It drives this high engagement with a direct, to-the-point approach, ensuring readers focus on the message and the call to action without distractions.
Which media and devices support RCS and SMS?
SMS remains universally supported on all cellular devices connected to a network, ensuring reliability even without data connectivity.
RCS was initially available only on Android phones through Google Messages. However, RCS business messaging (RBM) was added to iOS 18.1. Now, iOS supports RCS for iPhone users for person-to-person (P2P) messaging in select markets.
While a global rollout is pending, this integration improves messaging between Android and Apple devices. Users can check and enable RCS messaging in their app’s chat features settings.
Find a solution no matter your messaging strategy
Choosing the right messaging protocol depends on your goals and audience. Consider the following when comparing RCS vs. SMS:
Choose RCS when:
- Visual appeal matters: It provides visually engaging messages with rich media like images, videos, and GIFs, perfect for campaigns prioritizing aesthetics.
- Interactivity is key: Features like buttons, suggested actions, and forms allow better audience interaction for engagement and conversion rates.
- Enhanced branding is a priority: Custom branding with logos and colors can deliver a consistent and professional brand presence.
Choose SMS when:
- Wider reach is necessary: Given that all mobile phones, even older or less advanced devices, support it.
- Immediate and direct communication is vital: SMS gets delivered instantly, making them ideal for time-sensitive updates like promotions or alerts.
- Budget constraints exist: Carrier plans often include SMS without additional costs.
A hybrid approach combining SMS and RCS offers the best results for most businesses. However, it’s important to note that RCS adoption is limited due to its data network reliance, device compatibility, and higher costs.
On the other hand, SMS still has an edge in business communication as it offers universal compatibility, cost efficiency, and dependability across all devices. SMS notification services are the best choice for small to medium-business solutions where budgets are often a restraint.
Get started with Plivo’s SMS API
No matter your goals, the right messaging solution can drive success in conversational commerce.
SMS not only supports customer communication but also plays a vital role in secure and seamless authentication processes. Whether you're managing account verifications, login security, or two-factor authentication, SMS offers unmatched flexibility, enabling businesses to scale operations during peak demands without incurring significant costs or logistical challenges.
Plivo bridges this need with its Verify API, delivering reliable and cost-effective authentication. Designed for effortless integration and maximum reliability, Verify API ensures:
- Zero authentication costs
- Free Fraud Shield for enhanced security
- No regulatory complications
- Reduced technical support overhead
Coupled with Plivo’s easy-to-integrate SMS API, businesses can deliver impactful messages while managing authentication at scale — all without hesitation or hidden fees.
Plivo provides a complete messaging solution with support for both RCS and SMS, all tailored to your business needs. Contact us to get started today!

Chatbot vs. Conversational AI: What’s the Difference?
Explore the distinctions between a chatbot vs. conversational AI, their unique applications, and how to choose the right solution for your needs.
As of 2024, 82% of consumers would rather chat with a bot than wait for a customer service agent. This indicates that chatbots are transforming customer service, making them a must-have tool for businesses everywhere.
Conversational AI platforms are taking customer service further, offering smarter, more human-like interactions that improve marketing and customer engagement.
While “chatbots” and “conversational AI” may seem interchangeable, they differ significantly in scope, functionality, and use cases.
Chatbot vs. conversational AI: How do these two solutions compare, and which suits your business needs? Read on.
What is a chatbot?
A chatbot is a computer program designed to respond to customer queries. When a customer tries to initiate contact through your website or another communication channel, a chatbot will identify and resolve the customer's query.
It can also initiate a conversation with an opening sentence such as ‘How can I help you today?’. The user then has a set of pre-defined answers to choose from and carry the conversation forward.
Conventionally, a chatbot works on if-this-then-that logic. So it gives straightforward answers to queries.
There are three primary types of chatbots:
Rule-based
These chatbots operate based on predefined rules and scripts. This means they can only respond to specific inputs or keywords. Think of a basic FAQs support chatbot that answers commonly asked questions about the store’s business hours, product return/cancellation policies, etc.
AI-based
AI chatbots for business, on the other hand, use natural language processing (NLP) and machine learning (ML). They understand and respond to complex queries in a human-like, context-aware manner.
For example, Google Assistant is an AI-based chatbot that handles varying tasks from appointment reminders to answering general knowledge questions.
Hybrid
These chatbots combine the strengths of both rule-based and AI-based systems. They follow pre-defined rules to answer basic queries but can also use AI for more complex, contextual conversations.
Businesses can configure a hybrid chatbot across communication channels like live chat, messaging apps (WhatsApp, Messenger, etc.), and in-app messaging. Given the hybrid model, these chatbots are more versatile than the other two. Several industries can integrate them into their communication systems.
Businesses can also create AI chatbots for automation by integrating conversational AI, given it’s developed on a scalable platform.
What is conversational AI technology?
Conversational AI technology provides more advanced and dynamic solutions to customer queries.
While conventional chatbots follow scripted responses, conversational AI technology consists of NLP, ML, and automatic speech recognition (ASR) to carry out human-like conversations. Here’s their function explained:
- NLP: Helps the system understand and interpret human language and nuances such as tone, intent, and context.
- ML: Supports AI self-learning with past customer interactions and behavior.
- ASR: Converts spoken words into text so that you can integrate voice-based interactions in conversational AI systems.

Normal chatbots handle FAQs, while conversational AI adapts to user preferences and makes conversations based on their input.
For instance, Plivo-powered AI voice agents use conversational AI to provide real-time customer service. They can act as a personal shopping assistant for customers, automate routine financial transactions, break language barriers in customer support or learning, and even provide personalized health assessments to patients.
Chatbot vs. conversational AI chatbots at a glance
Here’s a table stating the differences between a chatbot and conversational AI.
Use cases for chatbot vs. conversation AI in customer service
Chatbots aren’t just a passing trend. In fact, Gartner states that chatbots will become the primary customer support channel by 2027. However, how can you include them in your existing communication systems? Let’s explore.
Use cases for chatbot
Here’s a quick rundown of the specific use cases for chatbots.
Appointment scheduling
Chatbots streamline appointment scheduling by automating the process. They let customers book, reschedule, or cancel appointments 24/7, eliminating the need for staff intervention.
They can also send reminders, reducing no-shows and ensuring a positive experience for businesses and customers.
Order status updates

Updating customers about order statutes from confirming orders to tracking shipments, can chip away a big chunk of your agents’ time. In contrast, chatbots instantly respond to customer inquiries like “Where is my order?” or “What’s the estimated delivery time for x product?”.
Customers don’t need to wait for an agent to answer these queries, which significantly improves satisfaction rates while saving time and resources.
Answer FAQs
An IBM report states that chatbots can resolve up to 80% of routine customer inquiries. Imagine the time this saves up on your resources. With chatbots, customers get the answers they need without waiting 48 hours for an email response because of a holiday or an agent's unavailability.
It can handle frequently asked questions like inquiries about product features, order-related updates, shipping updates, refund/return requests, etc.
Loan applications, payments, and billing assistance
While e-commerce and healthcare have picked up on integrating chatbots into their customer service, the banking sector is no exception.
Chatbots can help users with payment due dates, loan application updates, and billing breakdowns. Simply create a bank interactive voice response (IVR) menu, and integrate it into voice-enabled bots to make customer support easier. It’ll automate routine queries and reduce operational costs.
Customer feedback collection
Businesses go out of their way to solicit customer feedback. While you can use the rule-based bots to ask customer feedback questions, take it a notch up with conversational AI. The bot then sends a feedback form to the customer after an item is sold or a task is performed.
For example, you may use it to ask users about:
- Their experience with the product.
- The delivery process.
- If the product/item met their expectations, etc.
- How they would like the product/shopping experience to be better.
Use cases for chatbots with conversational AI
You can integrate conversational AI and build on previous use cases of basic chatbots to move beyond scripted responses. However, let’s explore specific conversational AI use cases that can benefit business operations.
Personalised product recommendations

Conversational AI platforms have access to customer data, including their browsing history, purchase behavior, etc. These bots use the data and recommendation algorithms to suggest specific or complementary products.
So a generic customer query about a mobile phone narrows down to a specific model that fits their budget.
From discovery to checkout, these bots can handle the entire funnel. Use it to help customers compare products, suggest similar products, and apply discounts or upselling based on previous purchases.
Text-based bots are sufficient for a target audience that prefers texting over speaking. However, voice-enabled bots provide more convenience and feel more personalized to customers. Plus, launching context-aware voice bots is simpler than you think.
For instance, Plivo-powered voice agents integrate easily with any speech-to-text (STT), large language model (LLM) or text-to-speech provider of your choice to get started.
You can learn all about AI voice bots and their use cases in this guide.
Intelligent IVR systems
Say a customer chats with the bot and the bot transfers the call to the right agent for a nuanced response. What happens during the time between the transfer and when the agent picks it up? Typically, customers hear music or are provided with a waiting number.
However, you can maximize IVR menu efficiency with pre-answers. Create multilevel IVR menus with audio or text for prompts. Specify exactly what happens after a call is transferred before it's picked up to add value to the customer journey.
For example, if a call is transferred to a department frequently asked the same questions, you can record answers to those common queries and play them for the caller while they wait. This reduces call drops and provides information to customers upfront.
Multilingual support
Language barriers can significantly hurt your customer support strategy. The best chatbots for customer service are designed to be customer-friendly, meaning they understand and respond in the same language as the caller.
Conversational AI bots solve this by instantly switching between languages and providing personalized, native-like assistance, removing the need for multiple agents or long wait times.
Dynamic query resolution
Complex questions often lead to frustration with standard chatbots. AI-powered bots analyze the intent behind queries, offering precise solutions instead of generic responses, saving time and reducing escalation rates.
Since the bots understand the sentiment behind the words, they offer solutions after analyzing the tone of the conversation. While text-based input works well for sentiment analysis, voice-enabled bots can achieve similar insights by transcribing voice inputs into text for deeper customer analytics.
Advanced after-sales support
After-sales support issues including troubleshooting or warranty claims often take too long. AI bots streamline this process by guiding customers step-by-step, scheduling follow-ups, or handing unresolved cases to human agents without delays.
Fraud detection and prevention
Suspicious activity can compromise customer accounts.
AI bots monitor patterns, flag risks, and trigger security protocols like verification requests or account freezes, keeping customer data and transactions safe in real time.
Along with these, winning back abandoned carts, offering discounts and offers, streamlining the help desk or ticketing system, etc. are some of the top AI sales bot use cases.
Chatbot vs. conversational AI: What the future holds
Artificial intelligence in customer service is just the beginning.
Looking ahead, conversational AI is set to expand beyond traditional customer support. It will take on roles as virtual healthcare assistants for patients, personal tutors, and investment advisors, and even offer even more personalized recommendations in entertainment and retail.
As AI continues to leverage more user data, companies will face increased pressure to ensure compliance with data privacy regulations like the General Data Protection Regulation (EU) and California Consumer Privacy Act (CCPA).
The future of conversational AI will require businesses to prioritize safeguarding user data — such as clearly disclosing when a bot is interacting rather than a human agent. To keep up with these demands, conversational AI systems will be designed with built-in compliance features to meet evolving privacy standards.
Ultimately, natural language processing in AI promises more sophisticated, smart, and intuitive communication systems.
Chatbot vs. conversational AI chatbot: Which to choose when?
The decision between a chatbot and a conversational AI chatbot hinges on your business needs and the complexity of customer interactions.
For small and medium-sized enterprises (SMEs) that want to handle routine queries efficiently, chatbots are a great choice. They excel as triage systems, routing simple inquiries to the right channels and saving valuable time for your team.
Before implementing it, ask: How will your business benefit from automating basic customer concerns?
Whether it’s saving time, freeing up agents for more complex tasks, or helping with customer acquisition, understand the potential impact on your business goals.
Conversational AI chatbots, however, are ideal for more nuanced customer service needs. They’re particularly useful when you require multilingual support, the ability to handle multiple intents in a single conversation, or context-aware solutions.
Use chatbots for automation at the top of the funnel for initial contact, lead capture, or general inquiries. As customers move down the funnel, integrate conversational AI for detailed product inquiries, after-sales support, and nurturing client relationships.
Take the first step to automation with Plivo’s Voice API
For many SMEs, diving straight into conversational AI can feel like a big leap. Hence, if you’re looking for a solution that doesn’t require hefty investments, Plivo’s Voice API is the perfect starting point.
Plivo's Voice API easily integrates with your choice of speech-to-text, text-to-speech, and language model providers to build smart IVR systems. With smart IVR capabilities, you can automate routine tasks, direct calls to the right agents, and save valuable time for you and your customers.
In addition, Plivo’s Voice API supports straightforward integration with leading AI providers, including OpenAI’s speech models. Using our simple integration endpoints, you can test the language model’s ability to transcribe voice to text before deploying your IVR system. The setup is easy, requires minimal technical expertise, and adapts effortlessly to your evolving needs.
For example, you can build an IVR to automate common queries like checking account balances or updating personal information, allowing your agents to focus on more complex issues. Plus, its voice API supports key features like call forwarding, global conference calling, and call recording for in-depth analytics, providing high-quality services that meet customers’ needs.
Plivo’s reliable coverage in over 220 countries and territories, 99.99% uptime guarantee, and less than 2-second call rerouting in case of failovers amplify all these benefits.
Start simple, and scale smart. Contact us to build an integrated and intuitive communication system.

12 Contact Center Technologies and Trends to Keep an Eye On
Discover the top contact center technologies that streamline operations and empower agents to deliver exceptional customer experiences.
Delivering great customer experiences requires quick responses, personalized interactions, and communication through the customer’s preferred channels. Yet, managing high call volumes, addressing complex requests, and meeting ever-growing expectations can make this a significant challenge.
Modern contact center technologies can bridge this gap with tools that streamline operations, improve customer communication, and empower contact centers to meet customer expectations.
In this blog post, we’ll explore the top 12 contact center technologies transforming customer interactions and how they can benefit your business.
1.VoIP
A Voice over Internet Protocol (VoIP) system lets businesses make and receive phone calls over the Internet, removing the need for outdated landlines, desk phones, mobile devices, and computers. However, the benefits of switching from legacy landline systems to VoIP go beyond cost savings and improved call quality.
A reliable VoIP system:
- Eliminates the need for desk phones and outdated systems.
- Offers add-ons like two-factor authentication (2FA) to verify callers and reduce fraud calls, smart interactive voice response (IVR) scripts for streamlined self-service, and call routing to connect customers with the right agents.
- Minimizes dropped calls and ensures crystal-clear communication.

If your contact center manages a high volume of customer inquiries, use a reliable VoIP system to ensure consistent communication and reduce call drops. Apply best practices to improve implementation and achieve better communication outcomes.
2.CRM integration
A Customer Relationship Management (CRM) system houses detailed information about previous customer interactions, their preferences, purchase history, and more. When you integrate this rich data into your contact center, agents get a comprehensive view of each customer to provide highly personalized assistance.
With this data readily available, agents can quickly identify previous issues or anticipate future needs, leading to faster resolutions and a better overall customer experience.
3.Call recording
You can capture customer interactions with call recording tools and gain valuable insights from them. For example, if customers frequently complain about a specific product, the tool captures this feedback. You can then use this data to improve the product’s quality, determine whether the issue is with marketing or product design, and train your staff accordingly.
Moreover, you don’t need to worry about customer data privacy as these tools encrypt the recordings.
To further improve customer experience, opt for an automated call transcription feature tool. Transcribing calls improves customer insights with more accurate analysis, helping you identify trends and address issues more effectively.
Analyze call recordings alongside contact center performance metrics and agent productivity tools to pinpoint areas for improving agent training or call-handling strategies.
4.Call queuing
Customers dislike waiting, however, call queuing systems make the experience more manageable. They inform customers of their expected wait times, play custom messages, and offer callback options. It’s one of the most effective contact center technology trends, especially when managing a surge of customer calls.
Such transparency reduces caller frustration and improves agent productivity. Some cloud-based contact centers also have automated callbacks, allowing customers to hang up without losing their spot in the queue.
You can even customize queues with maximum wait times and personalized messages or music with providers like Plivo. It further optimizes your call queuing strategy with insights into average wait times, dropped calls, and peak hours.

5.Smart IVR systems
An IVR is one of the most important self-service options in contact centers, helping manage customer requests efficiently while enhancing service quality. It routes customers to the appropriate agent based on input or responds to queries given there's a script for that particular use case.

However, smart IVR systems don't require traditional training. They use machine learning to process customer interactions and provide context-based resolutions.
The system captures the customer's audio input and an AI bot analyzes and processes the request, generates a context-aware response, and delivers it in real-time to the customer.
They provide dynamic routing, proactive customer engagement, speech recognition, real-time transcription, and call analysis to create a more intuitive customer support experience.

You can use IVR systems to:
- Accept payments securely.
- Localize services with multiple language options.
- Route calls effectively based on customer input or intent through voice prompts or keypad input.
- Conduct surveys and gather feedback.
- Assign and prioritize inbound leads for sales calls to the right agents.
- Confirm customer availability for service or delivery dispatch through automated calls.
Pro tip: You can build a smart IVR using Plivo-powered AI voice agents to enhance your customer experience.
6.Automatic Call Distributor (ACD)
Automatic call distribution systems intelligently route users to the right agents, making it an important part of contact center automation. This ensures that customers are connected with the right agents at all times.
The system routes works based on:
- Skill-based routing: Routes callers to agents with particular skills or training based on their needs
- Time-of-day routing: Routes calls to agents depending on their time zone.
- Priority-based routine: Routes callers with urgent issues to the top of the queue.
ACD eliminates the need for manual call forwarding or transferring, reducing wait times and improving overall customer experience.
7.Chatbots
The adoption of artificial intelligence (AI) in contact centers is on the rise, and AI-powered customer service chatbots are leading the charge. These virtual assistants for contact centers handle routine customer queries without the need for live agents, significantly reducing agent workload. They serve as round-the-clock virtual agents who are ever-ready to field queries, convert leads, and reduce customer support costs by up to 30%.
Use it to perform straight-forward tasks such as:
- Scheduling appointments.
- Answering FAQs.
- Taking meal orders.
- Offering discounts and offers.
- Identifying promising leads.
- Streamlining helpdesk operations and ticketing systems.
If a chatbot fails to answer a query, it will transfer the call to an agent for a more contextual response.
8.Omnichannel customer service
The best customer experience comes from consistent support across multiple channels like SMS, voice, video, and live chat. Omnichannel customer service empowers agents to engage with customers across these various channels, providing a cohesive experience. They can easily transition between channels or even manage multiple channels at once.

Without integrated contact center channels, agents may have to switch between different platforms to review past interactions. This leads to repetitive questions, frustrated customers, and a negative impact on the experience.
9.Call analytics
Real-time and historical call analytics provide insights into performance metrics like call quality, resolution times, and call drops. AI in contact centers can even interpret the tone and emotions behind customer interactions — whether frustration, satisfaction, or confusion — and personalize responses accordingly.

Plivo provides an in-depth analysis of potential issues, both reported by users and identified through system checks. This data helps improve agent training and streamline contact center operations.

10.Cloud-based solutions
Cloud-based contact center software solutions ensure high availability, automatic updates, and integration with CRM, agents' productivity tools, and other customer experience tools. They also facilitate remote working as long as there's a stable internet connection.
Many cloud solutions complement your existing system rather than replace it outright.
For example, you could improve your current infrastructure by integrating channels like live chat, SMS, or video calls into your traditional phone systems.

11.Conversational AI
Conversational AI is transforming how contact centers operate.
A survey in the 2024 State of the Contact Center Report found that 30.4% of users said 'Yes' and 69.6% said 'Maybe' when asked if they’re considering using AI tools to improve contact center operations.
Launching context-aware voice bots that mimic human interactions ensures natural conversation flow by detecting speech onset and end. These AI-powered chatbots preserve the emotional nuances and tone of the customer, giving agents more access to deeper customer insights.

12.Sentiment analysis
Sentiment analysis empowers contact centers to gauge customer intent and recommend actions in real-time to meet their needs.
Say you’re a retail contact center receiving a call from a customer frustrated about a delayed delivery. The system integrates audio streaming via WebSocket, AI-driven transcription, and sentiment analysis to capture audio and transcribe it in real-time

AI tools analyze the conversation and detect frustration in the customer’s tone, tagging it as negative sentiment. The system then alerts the agent in real-time, prompting them to prioritize empathy and offer an immediate solution, like expedited shipping or a discount.
This proactive approach not only boosts call quality assurance but also improves overall customer satisfaction.
Future of contact centers
Conversational AI will be the key driver of customer service in the next decade.
Chatbots are already moving from straightforward query resolution to contextual resolutions. It’s clear that as AI evolves, its focus will shift from reactive problem-solving to proactive engagement. It’ll predict customer behavior, anticipate issues, and provide solutions in real-time.
However, there’s a flip side to this.
With AI addressing routine queries, support agents will handle complex and emotionally charged situations. This requires specialized training in empathy and creative problem-solving, areas AI cannot replicate.
Data privacy is another key concern. AI systems must comply with strict regulations like the General Data Protection Regulation (EU) and the California Consumer Privacy Act (CCPA). Businesses must develop robust data governance policies and provide employee training to guarantee compliance and customer trust.
As AI brings efficiency and scalability, human empathy remains vital. The future of contact centers lies in a hybrid model where AI improves, not replaces, human agents, encouraging valuable and meaningful connections.
Integrate these call center technologies with Plivo
To deliver a standout customer experience, you need to understand your customers' needs and meet them where they are. Plivo's Voice API is the perfect start to this. It lays the foundation for advanced, intelligent communication systems — empowering contact centers to operate more efficiently.
It easily integrates into your CRM and Business Intelligence (BI) tools to create a unified system. This ensures every interaction is backed by customer history and insights. Moreover, smart IVR scripts are among the best customer self-service options in contact centers.
Rely on Plivo to take care of routine queries like bill payments, appointment scheduling, or order tracking. You can automate these queries and free agents to focus on complex, high-value issues.
Plivo also offers real-time call analytics. You get detailed insights into performance metrics such as average resolution time, call quality, and sentiment analysis. This way, you can identify peak call times, optimize staffing, and address service bottlenecks proactively.
These benefits stem from Plivo's commitment to ensuring reliable connectivity, low latency, and exceptional call quality across 220+ countries and territories. Plivo’s seven global points of presence guarantee 99.99% uptime, crystal-clear 16kHz voice quality, and rapid rerouting in under 2 seconds during failovers.
Ready to take your contact center to the next level? Start by integrating Plivo’s Voice API and progressively incorporate these contact center technologies to drive automation.
Contact us to create a smarter, more efficient, and customer-centric contact center.

What Is an SMS Gateway and How Does It Work?
In this guide, explore what an SMS gateway is, how it works, and why businesses rely on it for bulk messaging, marketing, and customer engagement.
Text messaging is a highly effective tool for businesses, with SMS boasting a 98% global delivery rate. This reliability makes it ideal for reaching customers quickly and consistently.
However, managing high volumes of customer communications manually can be challenging for businesses. An SMS gateway makes it possible for a broader range of devices and applications to communicate with each other.
Whether you want to launch a marketing campaign, send automated alerts, or engage in two-way conversations with customers, an SMS gateway simplifies the process.
Using SMS gateway services, you can send a message from your computer to a phone (or vice versa).
In this guide, we’ll dive into how SMS gateway providers work, the different applications of SMS gateway services, and how you can choose the right provider for your business’ needs.
So, let’s begin!
What is an SMS gateway?
An SMS gateway is a technology that allows software applications or computers to send text messages to mobile phones. Often, messages sent from a computer are not in a format that’s compatible with SMS. In such cases, SMS gateways serve as translators, converting the message into a format that mobile devices can understand.
The main job of an SMS gateway is to ensure the message is compatible with mobile networks. Businesses use SMS gateways to send bulk text messages to customers directly from a computer or software platform.
Interestingly, SMS gateway services can also work in reverse, allowing mobile users to send messages back to computers.
While previously SMS gateways were offered as physical hardware with SIM cards and embedded radios, businesses and consumers no longer need hardware-based solutions today. Instead, they use cloud-based systems that seamlessly translate and transmit messages.
These advancements are powered by SMS APIs, which allow messages to be delivered to specific devices at the right time, without the need for physical hardware.
How does SMS gateway technology work?
Here’s a simple step-by-step breakdown of how modern SMS gateway services operate:
- Create the message: Compose your text message within your business application.
- Send via API: The message is sent to the SMS gateway through an SMS API.
- Convert the message: The gateway uses protocols like HTTP or SMPP (Short Message Peer-to-Peer) to format the message for mobile networks. Protocols like SMPP play a key role in the smooth operation of SMS gateways. They enable fast and reliable communication between the gateway and mobile carriers, ensuring your messages reach their destination promptly — even during high-volume campaigns.
- Route the message: The gateway forwards the message to the appropriate telecom carrier.
- Deliver the message: The telecom carrier ensures the text reaches the recipient’s phone.
- Confirm delivery: The SMS gateway receives a delivery report from the carrier and relays it back to your application, confirming the message was received.
Imagine you’re running SMS marketing campaigns and want to send a promotional text to all your customers. Your audience is spread across the U.S., using different carriers like AT&T, Verizon, or T-Mobile.
Instead of dealing with each network separately, an SMS gateway simplifies the process. You connect once, and the gateway handles the rest — distributing your message to everyone at the same time, no matter which network they’re on.
Types of SMS gateways
When it comes to SMS marketing campaigns, two types of SMS gateways are most commonly used:
Email to SMSThis type of gateway converts email messages into SMS format, ensuring they meet the technical requirements for mobile delivery. It’s a two-way system, allowing businesses to send text messages to email inboxes and receive replies in return.
Web to SMSFrequently used by application-to-person SMS platforms, this gateway connects mobile phones with web applications. It enables businesses to send both SMS and MMS messages directly from a web application to recipients’ mobile devices. Web to SMS gateways are more feature-rich than other options, offering enhanced flexibility and functionality.
Applications of SMS gateways
SMS gateways have a wide range of applications for businesses and organizations, enabling them to communicate quickly and effectively with their customers. Here are some use cases:
Marketing campaigns
SMS marketing is a powerful tool for businesses to connect directly with their customers. It allows you to send promotional messages, special offers, and important updates right to your customers' mobile phones.
According to the 2023 Mobile Consumer Trends Report, SMS is a preferred communication channel for 52% of customers, making SMS an essential part of any marketing strategy.
A great example of effective SMS marketing is GoCheckin, an app developed by Fastboy Marketing.
GoCheckin helps beauty salons send appointment reminders and promotional messages to their clients. Fastboy uses Plivo as their communication platform and SMS gateway provider to efficiently handle high SMS volumes, ensuring seamless message delivery.
This switch made it easier for Fastboy to send texts without requiring customers to download an app.
Customer engagement
Text message gateways boost customer engagement by enabling businesses to send timely and personalized alerts and notifications.
Common use cases:
Appointment reminders
Appointment reminders are a highly effective way to engage customers and reduce no-shows.
Once you integrate an SMS API into your existing systems, when a trigger event occurs, for example, an appointment reminder, the system will communicate with the SMS gateway. The gateway then processes and sends the message to the customer's mobile network within seconds.
For example, a dental clinic could automatically send reminders to patients a day before their appointments, increasing the likelihood of attendance.
Customer feedback requests
SMS gateways make it easy for businesses to request feedback after a purchase or service interaction.
For instance, a restaurant might send a text asking customers to rate their dining experience. This provides valuable insights to help businesses improve.
Notifications and alerts
Automated notifications and account alerts keep customers informed and build trust. SMS is particularly effective for delivering quick and reliable updates about orders, security alerts, or account changes.
Businesses like ecommerce platforms use SMS to keep customers updated at every stage of their order process.
For instance, Luxer One, a California-based company that provides secure package lockers for residential properties, uses SMS to send package delivery notifications.
Previously relying on email, they found many residents overlooked or missed their emails, leading to uncollected packages and dissatisfaction. By switching to SMS, Luxer One achieved over 99% consistent delivery, improving customer satisfaction and the package pickup experience.
Similarly, Deckers, a footwear giant, uses SMS to keep customers informed about their order and delivery statuses.
After placing an order, customers receive real-time shipment updates via text until the package arrives. This transparency reduced track-package inquiries by 15–20% annually, significantly enhancing the overall customer experience.
Why should businesses use SMS gateways?
Effective communication is essential for businesses to engage customers, streamline operations, and improve efficiency. SMS gateways offer a reliable solution for sending text messages between businesses and their audiences.
Here are some benefits:
Reliability and speed
80.5% of consumers read SMS messages within five minutes of receiving a notification. This ensures that time-sensitive information, such as appointment reminders or transaction alerts, reaches recipients quickly.
Efficient bulk SMS messaging
Bulk SMS gateways leverage the SMPP protocol, enabling businesses to send large volumes of messages simultaneously without compromising speed or delivery rates.
This is particularly valuable for marketing campaigns, promotions, and mass notifications. For example, during major sales events, businesses can instantly reach thousands of customers, driving both engagement and sales.
Global reach with multilingual support
In today’s global market, businesses must communicate effectively across regions and languages. Some SMS gateway providers like Plivo enable international messaging to 220+ countries and territories while supporting localization features for various languages and cultural nuances. This helps businesses expand and connect with a diverse customer base.
Personalized and automated messaging
SMS gateway services provide other features for personalizing messages and automating communication. Personalization increases engagement by addressing customers by name and tailoring messages to their preferences.
Automation allows businesses to schedule messages, trigger responses, and manage follow-ups efficiently, reducing the need for manual effort.
Cost-effectiveness compared to other communication channels
Marketing your products or services can get expensive fast, and there’s no guarantee your efforts will hit the right audience.
That’s where an SMS API and SMS gateway come in.
They let you reach thousands of interested people quickly and at a fraction of what traditional marketing methods cost. It’s an efficient, cost-effective way to promote your business and make sure your message lands where it matters most.
How to choose the right SMS gateway provider
Most business texting platforms act as SMS gateway providers by leveraging cloud-based technology, enabling companies to send texts directly from a computer.
Choosing the right provider, however, is key to ensuring your SMS strategy works seamlessly. Here’s what to look for:
Coverage and international reach
Not all platforms deliver texts to every international number. Ensure your provider can reach the countries and numbers you need.
For example, Plivo uses test nodes in multiple countries to optimize delivery, ensuring fast and reliable messaging to 220+ countries and territories.
Moreover, Plivo’s built-in GSM Unicode character set lets your users communicate in any language, including Chinese, Japanese, and Arabic, and with symbols and emojis.
API availability and integrations
The right SMS gateway service should offer easy-to-use APIs and integrations with your existing systems. This makes adding SMS functionality to your workflows effortless.
Pricing and cost structure
Understand the platform’s cost structure, including message fees and any additional charges. For instance, Plivo offers competitive pay-as-you-go pricing.
Delivery speed and throughput
Fast message delivery is critical, especially when handling high volumes. Choose an SMS gateway that guarantees quick delivery without delays. Plivo, for example, dynamically manages message priority and expiry, handling message queueing for you.
Security and data privacy
Your provider must secure your data and that of your customers. Plivo, for instance, offers robust protections, including SOC 2 Type 2 and PCI DSS Level 1 certifications, with HIPAA compliance available for Enterprise users. Plivo is also GDPR compliant.
Experience the benefits of SMS gateways with Plivo
When selecting an SMS gateway for mass communication, it’s essential to choose a trusted cloud platform known for reliability, security, and ease of use. Here’s why Plivo is a top choice for businesses:
- Global connectivity: Plivo enables instant messaging to customers worldwide through a network of premium carriers.
- Advanced features: Manage sender IDs, support special characters for better readability, and access detailed analytics to optimize campaigns in real time.
- Seamless integration: Plivo’s SMS API integrates effortlessly with popular tools like Zapier, simplifying workflows.
- High reliability: Plivo is built on a strong, reliable infrastructure designed to handle anything you throw at it. With fault-tolerant systems and high availability, it guarantees 99.99% uptime for all its global carrier connections.
- Competitive pricing: Pay only for what you use with transparent and affordable rates. Plivo offers volume discounts for committed usage, enabling greater savings as your messaging requirements expand.
- 24/7 customer support: Plivo offers a range of support plans to meet any organization’s needs, from a free basic plan to a 24/7 premium support option. No matter your plan, you’ll have access to its team of experienced support engineers. Premium support plan users, however, get prioritized responses to their queries within a guaranteed timeframe, depending on the priority of the issue.
- Global compliance: Non-compliance with regional security protocols increases the risk of hefty fines and puts your reputation at risk. Plivo’s SMS gateway and API adhere to security best practices, including 2FA, to help protect your communications.
Ready to streamline your communication? Contact us today to learn how Plivo can help take your business messaging to the next level.

How Great Customer Service Builds Unbreakable Customer Loyalty
Learn how to earn customer loyalty with customer service. Understand why customer loyalty matters and how to build it with real-life examples of brands.
“Anybody can provide awesome customer service. You don’t have to be a rocket scientist to just be nice and be helpful.”
— Wade Foster, CEO & Co-founder, Zapier
In 1868, J.R. Watkins, a door-to-door salesman, changed the game for customer trust and satisfaction. He was the first to offer a full refund if the buyers weren’t satisfied with the product.
This wasn’t just about refunds but about meaningful customer service and showing customers they mattered. After all, 74% of consumers would rather be understood and valued than get discounts and loyalty perks.
This blog post will discuss how excellent customer service can build unbreakable loyalty and strengthen your brand’s foundation. We will also explore real-world examples of brands going the extra mile to satisfy their customers.
What is customer loyalty?
Customer loyalty is the trust and bond a customer has with a company built through a series of positive interactions over time. It is an ongoing positive relationship and a by-product of great customer service.
Loyal customers are more likely to :
- Make repeat purchases
- Interact more with the company through various channels
- Provide insightful feedback
- Recommend your brand to others
Why does customer loyalty matter?
Customer loyalty is the reason people choose you over your competitors. However, it doesn’t take much to change their mind. 59% of consumers in the U.S. will abandon your brand after several bad experiences, and 17%, with just one.
Building customer loyalty is a consistent effort that centers around offering quality products and services, transparency and proactive engagement. Once done right, it can lead to:
1. Increased retention
Loyal customers are 64% more likely to purchase from the same brand. In fact, 31% will pay more to stay with a brand. This can reduce customer churn and enhance customer lifetime value.
2. Higher revenue
Logically, increased intention will automatically lead to a higher revenue rate. Loyal customers are likely to spend more over time and purchase in large quantities. Research shows that returning customers spend 67% more than new customers, generating higher revenue.
3. Word-of-mouth marketing
47% of customers express loyalty by recommending the brand to friends and family. Loyal customers are the real brand promoters, as they can heavily influence others to purchase from your brand. This advocacy is highly effective as it can influence 54% of consumers to purchase.
4. Reduced acquisition costs
Acquiring new customers can be expensive. A brand loses an average of $29 for every new customer acquired. Loyal customers are a stable and predictable source of income, reducing the need to constantly acquire new customers, resulting in reduced costs.
5. Enhanced brand reputation
Customers who are impressed with your products and services are more likely to leave positive reviews and promote the brand to their network. This can boost your brand reputation while fostering trust and credibility among potential buyers.
Ways to build customer loyalty with exceptional customer service
Losing more than half of your customers—52%, to be exact—because of poor service isn’t just a statistic; it’s a warning. Modern customer service is not just about exchanging polite interactions; it’s about understanding their needs and catering to them in a way your competitors can’t.
Building customer loyalty requires exceptional service, whether sending a warm birthday message or offering a discount coupon.
Here’s how you can make it happen:
1. Be there when they need you
Say your customer is trying to troubleshoot their newly bought Wi-Fi router late at night and cannot get it working. It’s urgent; they are on an indoor movie date. But your business hours don't open until 10 a.m the next day. Imagine the frustration.
You can turn this moment of frustration into an opportunity by offering them immediate access to support when they need it. No, you don’t have to make agents work 24/7, but deploy self service options like AI-powered chatbots and knowledge bases to support users who have questions regarding products outside of business hours.
It’s also a great option for customers who are introverts or who do not wish to contact your company directly for simple issues. This extra assistance is what customers need to feel secure and loyal.
2. Personalize every touch
“Hi, how can I help you today?”
vs.
“Hi Emma, how can I help you today?”
Just addressing your customers by their names can make their day brighter. Now imagine how they would feel if you sent birthday wishes yearly or provided discount coupons for delayed shipments.
Businesses can leverage customer data and AI-powered tools to deliver personalized responses that precisely foresee and address individual needs. This not only streamlines experiences but also minimizes the time and effort customers spend seeking assistance.
For example, tools such as predictive analytics can analyze user behavior, such as history and past interactions, to understand customer needs and then create tailored recommendations to make them feel special.
3. Reach them in their comfort zone
Who would want to wait in endless loops of hold music? Customers sure don’t. Thankfully, there are more ways a customer can connect with a brand. But connecting isn’t enough; customers want a seamless and consistent experience across channels.
This is where omnichannel support comes in. It allows customers to connect on their preferred communication channel and even switch channels without ever having to repeat things. Omnichannel solutions can help you offer premium support by:
- Helping you understand the customer journey
- Identifying the frequently used channels and type of interactions customers prefer
- Creating smooth transitions between these touchpoints
4. Understand their satisfaction level
Asking for feedback is a way of showing customers they matter and you are working hard on making things better. Also, to drive customer loyalty, you have to measure key customer satisfaction metrics and understand what people love and hate about your service. This will help you create targeted strategies to resolve issues better.
Some of the top metrics to track include:
- Customer satisfaction score (CSAT): The level of satisfaction a customer has after an interaction
- Net promoter score (NPS): How likely customers are to recommend the service or company
- Customer effort score (CES): How easy or difficult it was for the customer to resolve the issue
The best way to collect feedback is by using automation tools. AI chatbots are great for asking customers to rate their experience after the resolution of a query. Sending automated feedback emails after an interaction is also a convenient way to collect responses.
5. Start a loyalty program
79% of consumers participate in at least one retail membership, loyalty program, or subscription. Creating a loyalty program is an excellent way to reward repeat customers with suitable offers, discounts, and freebies. It is a way of motivating customers to continue buying from you instead of your competitors.
For example, Starbucks’ loyalty program rewards customers with stars for each purchase. They can redeem these points to unlock perks like free drinks or personalized offers.
Real-world examples of brands excelling in customer service
Companies that go above and beyond to meet customer needs stand out and set industry benchmarks. Their ability to anticipate customer expectations, respond swiftly, and provide personalized solutions is the reason why we are discussing them today.
These brands prove exceptional customer service isn’t about one-off gestures but consistently delivering value at every touch point.
Here are some real-world examples of businesses excelling in customer service and creating memorable experiences:
1. Grammarly
Grammarly keeps its audience active and encouraged by sending customized email alerts. The weekly email updates provide insights into the user’s writing habits, productivity and language expertise, such as:
- Number of words written, writing mistakes and unique vocabulary used
- Common tones detected in your style of writing
- The total number of words Grammarly has analyzed since the beginning
- Advanced suggestions you could get with Grammarly Pro


This personalized approach not only helps users review their writing skills but also keeps Grammarly top-of-mind. As a result, users feel like they are on a journey of self-improvement rather than being targeted by sales tactics.
2. Zappos
Missing out on Zappos while talking about great customer service would be a crime. In fact, at this point, they could be used synonymously. On June 11, 2016, a Zappos employee had the longest customer service call in history at 10 hours and 43 minutes.
At Zappos there is only one ultimate principle— to make the customer happy, no matter what.The agents never use scripts, and they are told not to upsell.
Among hundreds of other things, they are also known for delivering flowers to customers experiencing difficulties, offering free upgrades, and buying an out-of-stock item from a competitor to provide customers with unparalleled service.
3. Amazon
Amazon is known for its ability to predict and resolve delivery-related concerns before they arise. The company utilizes predictive analytics to inform customers about their delivery status, including potential delays. Customers receive timely updates via email or app notifications, so they never wonder where their package is.
When delays do occur, Amazon often goes a step further by offering compensatory benefits, such as a full refund. This proactive communication not only smooths out the customer experience but also reduces the number of queries related to order statuses.

4. Southwest Airlines
Southwest Airlines reaches out to its customers even before they have a chance to complain. Once, a customer tweeted how they had a terrible Wi-Fi experience on a flight even though it was paid. Once they got home, a refund of the $8 internet purchase awaited them in their inbox. Super proactive, isn’t it?
Contacting your customers before they raise concerns shows you’re taking the initiative to support them. It’s an effective way to turn a problematic situation into a memorable and positive experience.

Build meaningful bonds with Plivo CX
Just like Rome, customer loyalty isn’t built in a day. It takes a long, dedicated series of thoughtful interactions, empathetic approaches and, above all, care—genuine care that customers can feel.
Achieving this level of connection isn’t possible without a tool. With Plivo CX, an all-in-one AI-powered platform designed to streamline communication, you can boost engagement and drive customer satisfaction.
The platform offers advanced analytics to help you understand customer needs and satisfaction levels, enabling proactive and personalized interactions. With intelligent call routing, real-time monitoring, and automated workflows, Plivo CX ensures every touchpoint is seamless and efficient.
The key features include:
- OpenAI-powered chatbot: Assist customers round the clock with personalized support
- Unified agent desktop: Manage all customer conversations across channels like voice, email, and sms from a single platform
- Real-time analytics: Gain immediate insights into customer interactions and agent performance
- Omnichannel routing: Seamlessly direct customer inquiries to the most appropriate agent across channels
- Seamless integrations: Connect with your existing tools, including CRM, ERP, helpdesk, home-grown systems, and more
Book a demo now to experience how Plivo CX can transform your operations.

How to Create Effective SMS Drip Campaigns (With Examples)
Get a detailed step-by-step guide to creating SMS drip campaigns with practical tips. Also, learn top use cases for SMS drip campaigns (with detailed examples).
There are 14 million eCommerce stores in the US alone fighting for consumer attention. Amidst this competition, according to a recent survey conducted by Bynder, the average marketing strategy requires approximately six touchpoints with consumers to make a sale—social media, online advertising, websites, newsletters, email marketing, and product catalogs.
But how do you ensure consistent, impactful engagement without overwhelming your audience?
The answer lies in SMS drip campaigns. These strategically-timed text messages help you guide consumers through their journey, from discovery to decision-making, while building lasting relationships.
In this article, we explore the key components of SMS drip campaigns, share real-world examples, and provide actionable steps to create campaigns that maximize your ROI and revenue.
What is an SMS drip campaign?
SMS drip campaigns are a series of pre-automated messages that are sent to your subscribers either at different intervals or in response to their actions. It is a popular marketing strategy to keep consumers engaged and boost sales.
Here’s the revised section with benefits highlighted, examples included, and statistics with sources:
Key benefits of SMS drip campaigns
SMS drip campaigns offer several significant benefits that make them an essential part of modern marketing strategies:
- High engagement rates: SMS messages boast an open rate of approximately 98%, with 95% of texts read and responded to within three minutes of delivery.
- Improved conversion rates: The immediacy and high engagement of SMS contribute to higher conversion rates. For instance, e-commerce businesses such as REDCON1 have achieved a high ROAS through SMS marketing, with conversion rates ranging from 8% to 26% and low unsubscribe rates.
- Cost-effectiveness: Automated SMS campaigns require 60% less human intervention compared to traditional marketing strategies, making them a cost-effective solution.
- Enhanced customer experience: By delivering timely and relevant messages, SMS drip campaigns enhance customer satisfaction and loyalty. Studies show that 75% of customers appreciate receiving special offers via text messages.
6 SMS drip campaign examples
Now, let’s focus on the most common use cases where you can plan an automated SMS drip campaign:
1. Welcome series
A welcome series SMS drip campaign is a series of automated messages planned for either a new customer or a potential customer who just subscribed to your SMS list. This series aims to make them more familiar with your brand, bestseller products, and potential offers and convince them to make a purchase.
With a well-crafted welcome series, you can make a positive first impression on your subscribers and set a base for how well they will engage with all future SMS campaigns.

2. Abandoned cart
Another use case where an automated SMS campaign makes sense is cart abandonment. Abandoned cart SMS drip campaigns are automated text messages sent to customers who added items to their shopping cart but did not complete the purchase.
This campaign is critical because persuading an existing subscriber (who has expressed interest in your product) to make a purchase is easier than marketing to new consumers.
A common cart abandonment series can include any offer, low inventory alert, or a simple reminder.

3. Customer feedback
User-generated content is increasingly recognized as a pillar of modern marketing. It builds social proof and helps you build trust to generate more sales in the future.
One of the simplest ways to collect user-generated content is by running automated feedback campaigns.
Customer feedback SMS drip campaigns are automated text messages sent to users to provide feedback post-purchase. You can also offer any incentive to customers to give feedback.

4 Cross-sell and Upsell
Cross-selling and upselling are powerful strategies to increase customer lifetime value. The goal is to recommend related or higher-value products that complement their last purchase.
You can define product bundles of SKUs that complement each other or identify bestsellers in a category. Whenever a user makes a purchase, they get these automated suggestions.
The intent should be to make a relevant recommendation rather than being spammy.

5. Winback
Winback campaigns, also known as re-engagement or reactivation campaigns, are essential for long-term brand success.
As part of winback SMS drip campaigns, you can send messages to customers who haven't purchased in a while. The message could be a coupon, an announcement about the latest collection, or more. The idea is to regain their interest and give them enough incentive to make a purchase.

6. Loyalty program
Loyalty programs are excellent for building long-term customer relationships. SMS is an excellent medium for running loyalty programs.
As part of the loyalty SMS drip campaigns, you can send messages about the rewards points, birthday rewards, milestones rewards, or any other benefits.

How to create an SMS drip campaign?
Follow these steps to create effective SMS drip campaigns:
1. Identify the type of campaign
To begin with, identify the type of campaigns you want to run. We have shared six types of most common SMS drip campaigns in this post for reference. Diversify your strategy to keep the subscribers engaged.
2. Choose the triggers
Once you have finalized the type of campaign, define the required triggers.
3. Choose an SMS marketing platform
The next step is to choose an SMS marketing platform that will enable you to run these campaigns.
Key features to look for in an SMS marketing platform are:
- Registering users sign up through forms
- Segmenting users based on demographics and website activity
- Providing workflows to automate SMS drip campaigns
- Giving automated reports on campaigns
- Providing excellent customer support for implementation
4. Create campaign messages
Once you have the base setup in place, it's time to create campaign messages. You can take advantage of built-in templates in SMS marketing platforms to get a good base to start with.
Top SMS marketing platforms also offer AI-based copywriters that quickly create campaign messages based on some inputs (type of campaign, target audience, intent, etc.) Therefore, choosing an SMS platform with AI features also helps create fast campaigns.
5. Set up the workflow
With clarity of triggers and messages, the only task left to get started is setting up the workflow. Set up triggers and respective messages in your SMS marketing automation platform.
6. Measure and optimize
Lastly, don't forget to track important KPIs of campaigns such as open rate, click rate, converted rate, and revenue. This information will help you identify what's working and what's not for running more effective SMS drip campaigns.
Run impressive SMS drip campaigns with Plivo CX
Plivo CX is an omnichannel customer engagement platform that serves as an excellent driver for your SMS drip campaigns. It offers a no-code journey feature. Users can simply drag and drop and set up SMS journeys without any coding.

Apart from the convenient journey creation, Plivo CX also supports:
✅Getting customers to opt-in
✅Segmenting subscribers for better targeting
✅Creating personalized content for campaigns with in-built templates and AI copywriter
✅Scheduling campaigns with AI assistance
✅Launching campaigns with ease
✅Building reports of campaigns
You get an end-to-end solution that also complies with all industry and government regulations.
Further, we do not rely on external carriers; instead, we use our internal premium carrier network. This enables you to send messages to over 220 countries/territories with higher deliverability for as little as $0.0065.
This means you can slash your SMS marketing cost by up to 70%!
Want to create SMS drip campaigns without any hassle?
Schedule a demo today to explore the powerful features of Plivo CX.

Use Cases of AI Virtual Assistants in Ecommerce
Integrating AI into your ecommerce operations boosts efficiency, enhances personalization, and increases customer satisfaction. Here’s how
If you are running an ecommerce store, the stakes are sky-high. With so many options available, your customers expect nothing but the best from you. So, you must deliver a customized experience to retain and engage them.
However, challenges like inefficient inventory management, poor personalization, and slow customer service expose many ecommerce businesses to lost sales and decreased customer satisfaction. Traditional solutions often lack the speed and accuracy needed in today's fast-paced digital marketplace.
Integrating AI virtual assistants can effectively address these issues. They leverage several latest technologies, including natural language processing, machine learning, and predictive analytics. Therefore, they can analyze customer data from multiple touchpoints, offer personalized product recommendations, and even manage inventory.
Also, by integrating AI virtual assistants, businesses can enhance customer experiences, streamline operations, and potentially boost revenue by 10-12% or more.

In this article, we’ll explore eight major AI use cases in ecommerce and how you can implement them to uplift the bottom-line ROI.
AI use cases in ecommerce
Forward-thinking brands are actively preparing for AI integration—38% are investing in AI technology, 30% are partnering with providers, and 29% are training staff on AI capabilities. Also, the latest data suggests that 63% of brands acknowledge AI’s influence in their content marketing, SEO strategies, and website functionalities.
Let’s look at some major use cases where AI is being extensively used in ecommerce:
1.Hyper personalized product recommendations
How does it feel to open YouTube and immediately see shorts that appeal to your interests? Instant curiosity and satisfaction. That’s exactly what platforms like Netflix and Amazon use to drive engagement.
Netflix adopts an AI-powered recommendation engine to filter around 3000 video titles on its platforms and arrange them into over a thousand clusters based on a user’s preference, past watch history, and online behavior. This helps the platform show only movies that matter to its viewers—an approach vital to helping Netflix generate over $1 billion in revenue.
Amazon uses a similar approach to recommend products to customers. If products A and B are often purchased together, Amazon’s intelligent recommendation engine employs item-based filtering to upsell product B to a buyer who has recently purchased product A and vice versa.
Moreover, AI-based recommendations enhance personalization, and as we already suggested, 91% of consumers will likely shop from brands offering sleek, personalized customer experiences.
To meet this expectation, integrate an AI-powered recommendation engine into your online store and use it to personalize product recommendations using item and customer data.
2.Chatbots for customer service
A Forbes Advisor study found that 61% of consumers are willing to pay a 5% premium for exceptional customer service. However, relying solely on your team to deliver excellent service can be inefficient and strain your resources.
Also, there’s much room for human errors, delayed support, and inappropriate support, which can put off your customers. Besides, the 2024 HubSpot report notes that 90% want you to respond to their queries as early as 10 minutes—a fit nearly impossible without AI.
Using AI-powered chatbots to handle most routine requests frees up your support team and helps them focus on core customer queries. These bots act as virtual assistants capable of interacting in a human-like manner with customers, providing valuable recommendations and resources, scheduling callbacks, and escalating issues to appropriate agents—all significantly faster than human representatives.
As an omnichannel customer service platform with several AI-powered features, Plivo CX offers an OpenAI-powered self-service chatbot. It is capable of continuous learning in order to provide accurate responses to queries and take the pressure off your team. You can also train it according to your company’s custom dataset and guidelines to guard against misinformation or inconsistent messaging.

3.Dynamic pricing tools
Your pricing strategy is as important as the product itself. If you overprice, customers will switch to competitors, and if you underprice, your ROI will drop. Additionally, static pricing often fails to respond to market demand, competition, and customer behavior, limiting revenue opportunities.
AI solves this problem through dynamic pricing, which automates real-time product pricing based on current market factors, demand, supply, consumer data, stock availability, production costs, and profit margin.

AI-driven dynamic pricing tools also help you monitor your competitors’ cost labels. Let’s say one of your competitors is offering a discount for a product you also sell.
AI can immediately detect this discount and competitively modify your price to retain customers. This responsive pricing strategy, driven by AI and real-time data, balances profitability and customer satisfaction.
Uber employs this strategy to modify ride prices during changes in demand, time, and weather variability.
To do the same, train your AI tool to recognize specific triggers, such as market demand, for the adjustments. While adjusting prices, you should be mindful of your bottom line. It’s always better to avoid sacrificing profitability for lower prices.
4.Customer segmentation tools
According to Campaign Monitor, segmented campaigns result in a whopping 760% revenue increase.
While you can manually segment your customer base if it is just a few hundred, it’s a different ballgame for ecommerce businesses with thousands of buyers or a bulky audience. The process is often error-prone, time-consuming, and demands hefty human resources.
In this case, you can use AI-powered segmentation tools to do the heavy lifting. These tools can handle more data, analyze them in minutes, and section them into categories based on demographics, purchasing behavior, location, interests, or other relevant criteria.
Moreover, they can eliminate preconceived biases, such as the idea that pink dresses are for young females and blue dresses for older ladies.
This integration, in turn, enables you to deliver hyper-personalized shopping experiences, from tailored emails and consumer-centric product recommendations to dynamic pricing and targeted promotions, ultimately enhancing customer satisfaction and boosting conversions.
5.Fake review detection
Online reviews add credibility to ecommerce businesses and help convince shoppers in their final purchase stages. At least 93% of shoppers read online reviews before making a purchase, and over 31% say they will spend more with brands that have positive reviews.
Yes, bad reviews can damage your reputation, and not everyone cares enough to check if they’re fake or real.
To tackle this, AI algorithms analyze the troves of reviews on your ecommerce site based on intent, patterns, customer data, writing format, and real-time data to label fraud-like feedback.
Google applied the same approach to remove 170 million fake reviews in 2023.

6.Fraud detection and prevention
Sopho’s The State of Ransomware in Retail 2024 report shows that 69% of retail businesses were hit by ransomware in 2023. These attacks, from the usual ransom-style to card skimming and disruption of critical operations during cyber sales, continue to pose financial risks to ecommerce businesses.
However, AI can help identify such threats ahead of time by accurately analyzing network traffic for unusual patterns, tracing vulnerabilities, and spotting malicious activities in real time. This is useful for predicting potential threats, isolating affected systems, and automating responses.
AI-powered detection tools analyze transaction patterns to detect high-value purchases or repeated failed login attempts and flag suspicious behavior. For instance, if a customer’s spending suddenly spikes 10x compared to months of steady purchases. This could indicate an account breach and require immediate intervention.
A perfect case study is Mastercard, which has been able to reduce false positives in detecting payment fraud by about 200% and identify merchants affected faster by 300%.
The payment service uses AI to scan millions of transactions at once, detect possibly fraudulent processes, halt any transfer in or out, and alert concerned banks.
These smart programs can also assign risk scores to actions based on data like IP addresses, geolocation, payment methods, and customer behavior.
For instance, if the system detects someone is reusing promo codes and discounts through dynamic proxies, a high-risk score is assigned, and the account is blocked.
7.Voice search optimization
In 2024, over 56% of smartphone and 28% of laptop users leverage voice search to find information and brands. Studies also expect the number of voice search users in the US to reach 157 million by 2026, highlighting its growing consumer adoption.

With more people resorting to voice search over text search, AI can help streamline your customer experience by allowing them to place orders with voice commands, check inventory, or search for a product without moving a finger.
8.Visual search
Let’s say you took a picture with your friend dressed in a strawberry-colored, striped dress sometime last year, and now you want to get the same style. But you can’t find the right word to describe and search for it despite knowing how the dress looks.
Visual search comes to the rescue here—simply upload the image.
Amazon introduced StyleSnap, an AI-powered visual search feature that lets users shop with the product images they have. This is also similar to Pinterest’s Lens functionality, which utilizes image recognition and analyzes its billions of datasets to provide relevant pictures in return.
You can also implement the same approach to boost your customers' search experience by placing a camera feature near your text search icon. Achieving visual search is also possible through chatbots.
Implement AI in your ecommerce business with Plivo CX
As an AI-driven, cloud-based customer service platform that lets you connect with customers in their preferred channels, Plivo CX comes with an OpenAI-powered chatbot.
Our AI bot is trained to make smart decisions that align perfectly with your ecommerce policies. It can quickly and accurately resolve customer complaints and even escalate complex issues to human agents with detailed notes and data when needed.
This means faster resolutions, happier customers, and a more efficient team.
But that's not all! Our AI bot can also handle everyday tasks like processing refunds, tracking orders, modifying delivery addresses, and managing exchanges.
Here are some other powerful features Plivo CX offers:
- Unified communication: Manage all customer conversations across channels like email, voice, SMS, WhatsApp, and live chat from a single, intuitive dashboard.
- Effortless workflow design: Visually build custom workflows and automation with a drag-and-drop interface, no coding required.
- Seamless integrations: Connect Plivo CX with your existing tools, including CRM, ERP, helpdesk, and homegrown systems.
- Data-driven optimization: Track real-time analytics and generate custom reports to gain insights into customer interactions and agent performance.
- AI-enhanced efficiency: Prioritize urgent tickets, ensure brand consistency, and adapt quickly to changes with AI-powered support.
- Rich communication: Enhance interactions with multimedia support, including images, videos, and documents.
- Increased productivity: Streamline workflows with message templates, internal notes, and skills-based routing.
- Comprehensive features: Leverage call recording and barge-in for agent coaching, customizable IVR, multi-language support, and robust security features.
To learn more, book a demo now!

How eCommerce Businesses Can Run Effective Text Blast Campaigns
Discover how to use the power of SMS blasts marketing to boost your eCommerce sales. Learn strategies to craft compelling and effective text blast campaigns
SMS blasts are an effective way to engage regularly with customers and drive sales. While sending personalized campaigns is crucial, text blasts give you a quicker way to send mass updates to customers or run any promotions.
SMS blasts are best for:
- Sales, promotions, and coupon distribution
- Launches and announcements
- Event notifications
- Polls and surveys
- Alerts and notifications.
In this post, we will see how you can run an effective SMS blast campaign for your eCommerce business.
1. Create a qualified SMS subscriber list
The first step to planning any SMS campaign is getting users signed up to your SMS list.
The top strategies to get users to opt-in for SMS marketing are:
1.Sign-up form: Create a website pop-up form for subscriptions.

2.Order page: Encourage customers to opt in while placing an order.

3.Social media: Promote the exclusive perks of your SMS list on social media.

4.Discounts and coupons: Offer exclusive discounts or coupons to incentivize sign-ups.

5.Early bird access: Offer early access to new products or sales to SMS subscribers.

6.Contests and giveaways: Run exclusive contests for SMS subscribers.

7.Email Footers: Add a sign-up link to your email footers. It could be your regular newsletters or order delivery emails.

2. Segment audience
While SMS blasts are, particularly mass marketing, you can still make them a bit more personalized by segmenting your subscribers.
Segment your SMS list based on the following factors:
- Age
- Gender
- Location
- User activity
- Purchase history
- User lifecycle, such as new users or repeat users.
This segmentation will help you send more relevant and targeted messages to subscribers.
Tip: Use an SMS marketing automation platform like Plivo CX for a simplified segmentation process. It imports subscriber data from the Shopify store and opt-in forms on your website (coming soon).
Further, it automatically divides subscribers into segments based on key attributes, such as demographics, browsing activity, online behavior, etc.
3. Craft campaigns
The next step is to create the campaign content. Some tips for writing effective campaign messages are:
1. Keep it short: The ideal length for an SMS message is 160 characters. Target this length so the message can be delivered in a single SMS.
2. Follow trends: Take advantage of holidays/festivals and use that as a theme for content.
3. Adopt user-generated content: Share any positive customer experiences to build trust.
4. Build a sense of urgency: Create a sense of urgency by adding countdown timers.
5. Add strong visuals: Add eye-catching images and videos that grab attention and explain your campaigns quickly.
6. Use action-provoking verbs: Use words that encourage action from subscribers, such as 'Shop,' 'Sign-up,' etc.
7. Add a clear call-to-action: Keep it clear on what action you are expecting from the subscribers.
8. Add shortened URLs: Add shortened URLs to stay within the character limit.
9. Test and optimize: Test different messages to find what works best for your brand.
Tip: Use a marketing automation platform with built-in templates for different campaigns to get a starting point for various campaigns. Also, look for an in-built AI copywriting engine to generate fast, highly-tailored copy for your campaigns.
4. Optimize time and frequency
The next most important step for an effective SMS blast strategy is to find the appropriate timing. Firstly, as per the Telephone Consumer Protection Act, you are not supposed to send SMS before 8 AM or after 9 PM. But beyond this, you still have to find out when your subscribers are most active. You can do this by analyzing past campaigns to find optimal timing.
Tip: Instead of analyzing data manually, use a marketing automation platform with AI capabilities. AI can make this process easier by analyzing historical data, spotting trends, and suggesting optimal message timing for your campaigns.
5. Diversify text blasting strategy
Another important best practice for a successful text blasting strategy is to diversify your campaigns to keep the subscribers hooked. Surprise them with different types of campaigns, such as:
- Flash sales
- Limited-time offers
- Holiday promotions
- Early product launches
- Loyalty programs.
6. Measure results
Keep analyzing campaigns to find what's working and double down on it. Testing different variations of campaigns on a smaller budget also helps. Pull reports to identify what is giving good results and optimize your SMS marketing budget.
Tip: Simplify your reporting process by using a marketing automation platform that automatically tracks important metrics such as open rate, click rate, converted rate, and revenue.
7. Comply with legal regulations
Lastly, always comply with government regulations, such as TCPA and GDPR, to avoid legal penalties. Some best practices to stay compliant are:
1. Get a customer opt-in: Get explicit opt-in from customers before then sending them messages and getting flagged as spam.
2. Add option to opt-out: Add an opt-out option at the end of every message to make it easy to unsubscribe.
3. Send a message at appropriate timing: Stick to the timing suggested by TCPA and send messages only between 8 AM and 9 PM.
4. Save subscriber data diligently: Follow the local data protection standards and save data compliantly.
Tip: Choose a reputable SMS provider that complies with all the relevant regulations.
Run effective campaigns with Plivo CX
Plivo CX is a robust SMS marketing platform that can triple your revenue. You get all the key features required to run effective SMS blast campaigns:
✅Getting customers to opt in
✅Crafting campaigns with in-built templates and AI copywriter
✅Scheduling campaigns with AI assistance
✅Launching campaigns with ease
✅Building reports of campaigns
Apart from all these features, Plivo CX also complies with all industry and government regulations. Plus, Plivo’s premium carrier network enables you to send messages to over 220 countries/territories with higher deliverability and for as little as $0.0065.
Ready to boost revenue with SMS blasts? Schedule a demo today to explore the powerful features and capabilities of Plivo CX.
Frequently Asked Questions (FAQs)
1. What is an SMS blast?
An SMS blast, or text blast, is a mass text message sent to a large group of consumers. It's a quick and efficient way to reach a wide audience with a specific message. Common SMS blasts are flash sales, announcements, surveys, etc.
2. Is SMS text blasting legal?
Yes, SMS blasting is legal, but you must stay compliant with government regulations. TCPA is a regulation in the US for SMS marketing that suggests getting explicit opt-in from subscribers before sending messages and not messaging before 8 AM and after 9 PM. Apart from TCPA, different countries also have their data protection regulations.
3. How much does text blasting cost?
The cost of text blasting depends on your provider. By using a premium provider like Plivo CX, you can send text message blasts for as little as $0.0065 per SMS.
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