Conversational commerce: Benefits, use cases, and examples
Conversational commerce lets brands turn messaging into sales and support, connecting channels, customer data, and AI so customers can ask, buy, and get help in one flow. Learn what conversational commerce is, how it differs from related terms, why it matters now, which use cases matter most, and how brands can build it at scale.
We all know customers don’t want to repeat themselves or wait for a separate team to catch up. They want quick answers, relevant offers, and support that follows them across channels. Conversational commerce lets brands turn messaging into sales and support, connecting channels, customer data, and AI so customers can ask, buy, and get help in one flow. With chatbot interactions up 40x in the last 5 years, the real challenge in 2026 is keeping the conversation alive when the customer moves between channels.
Today, brands are looking for ways to scale automated customer communication while retaining the human touch. Creating conversational experiences helps brands meet modern customer expectations on the one hand, while providing instant customer satisfaction on the other. For example, chatbots can provide customers with instant answers, resulting in customer satisfaction.
What is conversational commerce?
Conversational commerce is the use of two-way digital conversations to help customers discover, evaluate, buy, and get support. Those conversations can happen in messaging apps, live chat, SMS, voice assistants, or in-app channels, and they can be powered by chatbots, AI agents, live agents, or a mix of all three. The goal is a conversation that keeps moving.
By selecting the right conversational commerce platforms and tools based on where their customers are most active, businesses can deliver seamless experiences across every touchpoint, whether it’s product discovery, purchase, or post-sale support.
This makes shopping more convenient, adds a human touch to digital communications, and helps build a stronger relationship with customers by making shopping easier.
Conversational commerce vs. chat commerce vs. conversational AI
These terms overlap, but they don’t mean the same thing.
- Conversational commerce is the broader model. It covers the full buying and support experience that happens through conversation.
- Chat commerce is narrower. It usually means selling through a chat interface, often inside a messaging app or website chat window.
- Conversational AI is the technology that helps automate the experience. It powers responses, recommendations, routing, and handoff.
Ultimately, chat commerce is one channel use case, conversational AI is one part of the tech stack, and conversational commerce is the business approach that brings them together. That difference matters because the market has moved beyond basic chatbot use cases. The next section explains why this shift is relevant now.
Why conversational commerce matters in 2026
Customer journeys are more fragmented than they used to be, but customers expect one continuous experience. They might discover a product in one channel, ask a question in another, and complete the purchase somewhere else. If those steps don’t connect, the experience breaks.
Conversational AI commerce is becoming a practical way to connect sales and support in one place. It keeps context across channels, responds in real time, and guides people through the journey without unnecessary friction.
Infobip’s Messaging Trends Report shows that 97.7% of all 2025 traffic came from customers using two or more channels. The shift is also visible over time. In 2016, only 27% of traffic came from customers using two or more channels. By 2025, that number had multiplied over 3x. Customer behavior changed, and the operating model has to change with it. Those shifts affect revenue, service, and efficiency.
Personalizing conversational commerce
For conversational commerce to be successful, it must be personal. 71% of consumers want personalized offers and proactive assistance, yet only 34% of brands currently provide them. Personalization also depends on trust: 88% of consumers expect brands to handle their personal information responsibly, while only 49% of organizations meet that expectation.
All in all, personalizing customer interactions will improve your bottom line, increase customer satisfaction, and ensure that customers have an overall better experience with your brand.
Offering the entire purchasing journey within chat apps will only improve your customers’ experience with your brand and help your profits soar.
Benefits of conversational commerce
Key benefits of conversational commerce include:
- Faster response times through real-time, conversational communication
- Higher conversion rates by answering questions and addressing objections when purchase intent is highest
- Reduced cart abandonment by removing friction and providing support before checkout
- Personalized customer journeys using natural language processing (NLP) and artificial intelligence (AI) to deliver timely, relevant interactions
- Higher customer satisfaction and loyalty through faster, easier, and more personal support
- Lower operational costs and service load by automating repetitive conversations with chatbots and AI chatbot assistants
- More engaging customer interactions that create a seamless experience from discovery through purchase and beyond
Let’s look at the benefits in closer detail.
Improve conversion rates
Businesses tend to spend a lot of money on customer acquisitions. To put it in perspective, it can cost 7 times less to retain customers than to convert a lead. That’s why you should ensure that every interaction is engineered to increase the chance of a lead becoming a paying customer.
By adopting omnichannel solutions, businesses can boost conversion rates by:
- Removing long sign-up processes: Reduce the chance of leads dropping out of lengthy signup processes by turning them into conversational experiences.
- Sending one-time PINs or passwords over chat apps: Keep leads engaged and secure by using your verified channels to authenticate users.
- Deploying a chatbot to offer 24/7 support: Provide instant answers to common customer queries to improve customer retention.
Tip: Discover which chat apps individual customers engage most with and use them for marketing, sales, and support services. Being where your customers are will allow you to offer convenient support, leading to happier customers. Converting leads is never easy, but offering a wide range of use cases on communication channels they love will improve their experience during the consideration stage and lead them to convert more often.
Reduce cart abandonment
According to the Baymard Institute, 70.22% of shoppers abandon their carts and never complete their online purchases. Use your customers’ favorite digital channels to engage with them, collect feedback, and do some research to learn the main reason your customers abandon their carts.
Keeping engagement going with your customers is the best way to help reduce the rate of cart abandonment. By keeping the conversation active, brands incentivize customers to complete their purchase by:
- Sending promotional messages for their favorite products
- Sending back in stock messages for items they saved on their wish list
- Sending reminder messages for cart abandonment with call-to-action buttons for easy purchase
- Answering last-minute questions about products, delivery, payment, or returns in real time
- Helping customers navigate checkout when they encounter an issue or need additional information
Tip: Use a customer engagement solution to create workflows that will send the right messages to the right people at the right time. Tools with event-triggered notifications can help you engage with customers who abandon carts by allowing you to send reminder messages and follow up with enticing discounts to promote the sale.
Increase customer loyalty and satisfaction
The best way to increase customer loyalty is to build a strong relationship with your customers. That means that they need to have a good understanding of who you are as a brand and feel confident that you will deliver on your promises.
Building customer loyalty is about nurturing a relationship by constantly engaging with customers and ensuring they don’t forget about your brand. You can achieve this by:
- Segmenting customers based on loyalty status and offering special discounts
- Sending discounts for special dates like birthdays or anniversaries
- Delivery status updates
- Sending payment reminders
- Personalizing conversations based on customer preferences, previous interactions, and behavior
- Providing faster, more convenient support across customers’ preferred channels
Tip: Craft a self-service chatbot to offer customers always-on service to increase their loyalty to your brand. You can design the chatbot to send automatic responses to FAQs or status updates and avoid long waiting queues for call centers.
Increase sales
Using your customers’ favorite chat apps as a sales channel is a great way to promote your products. By using what you know about their past behaviors and interests, you can send relevant products and services or upgrades on plans or memberships that you know meet their needs.
To successfully cross sell and upsell try sending:
- Products that were frequently purchased with items from their last order
- Reminder notifications for items that need to be purchased frequently when you estimate customers might be running low
- Messages with easy-to-use call-to-action buttons to make purchasing simple
- Personalized product recommendations based on customer preferences and previous interactions
Tip: A customer data platform is essential for collecting data and learning all you can about your customers. All your customers’ information and past behaviors will be stored in one place where a detailed profile is created and gives you better insights into their shopping habits. Once you understand your customers and their needs, you can send the right messages and improve the chances of completing the sale.
Optimize costs and boost efficiency
Customer support agents are often answering high volume, low value questions. You can help your contact center agents focus on more complex, rewarding tasks by adding a chatbot to your communication stack.
A virtual assistant is also available 24/7, so customers don’t have to call during certain hours or wait in long queues to speak with an agent. Your chatbot can also help customers:
- Book appointments
- Answer FAQs
- Get updates on delivery statuses
- Receive important documents or receipts using rich media
- Resolve simple issues immediately without agent intervention
- Route more complex conversations to the right support agent
Tip: Although chatbots can handle a wide range of inquiries, live support agents are still necessary to offer impeccable service. By integrating a cloud contact center, you can give support agents the right tools to efficiently resolve any issues that a chatbot cannot.
Customer service chatbots can be designed to understand when it’s time to transfer the customer to a live agent. Agents can then take over the conversation and have a full view of past interactions. This reduces the need for customers to repeat themselves, improving experience. It also helps agents improve efficiency while increasing their sense of accomplishment by giving them more rewarding tasks.
To unlock these benefits, you need more than just tools, you need a thoughtful conversational commerce strategy that aligns with customer needs and business goals.
How to build a conversational commerce strategy
To succeed with conversational commerce, your business needs to build a strategy that aligns with customer behavior and sales goals. This includes selecting the right conversational commerce tools, optimizing messaging for each stage of the funnel, and using conversational AI to deliver real-time support and recommendations.
1. Choose the right platform
Start by identifying which social media platforms and chat apps your customers use most, whether that’s RCS, Messenger, SMS, or web chat. Choose a platform that supports the channels you already use, the automation you want to add, and the data you need to keep customer context intact.
2. Define the strategy around the customer journey
Map out the key moments in the customer journey where conversational engagement can add value. Start with the highest-value moments, such as abandoned carts, pre-sale questions, post-purchase support, and repeat service issues. Personalize interactions based on past behaviors and use event-triggered messages to reduce cart abandonment and support customers at the right time.
3. Design the conversation itself
Decide what the chatbot should answer, what the AI agent should handle, and where a human should step in. Use conversational commerce tools such as AI chatbots, natural language processing engines, and customer engagement platform to build interactive, helpful conversations. This can include answering FAQs, providing product recommendations, completing purchases within the chat, and enabling cross-sell and upsell flows.
4. Train the experience
Teach the system with the right content, product data, and routing rules so it can respond effectively in real situations. A successful conversational commerce strategy depends on integrating conversational AI into broader marketing and sales funnels while ensuring that customers receive relevant, accurate responses throughout the journey.
5. Test the journey before it goes live
Check how the experience works across devices, channels, languages, and edge cases. Test automated responses, AI handoffs, product recommendations, and purchase flows to make sure each interaction works as intended. A broken handoff can quickly undo an otherwise good customer experience.
6. Monitor the KPIs
Measure performance across every touchpoint by tracking conversion rates, abandonment, resolution time, deflection, repeat purchase rate, customer satisfaction, and response times. Continuously optimize these elements to ensure your conversational commerce efforts contribute directly to revenue growth while creating frictionless experiences for customers.
Once you have a clear strategy in place, the next step is to choose the right conversational commerce types and channels that will help you execute it effectively, tailoring experiences to your customers’ preferences at every stage of their journey.
Types of conversational commerce & the technology that powers them
Learn about some of the most popular ways brands choose to connect with customers and craft conversational experiences that lead to greater sales.
Social media
Social media profiles are a must have for businesses that want to share information with customers and add valuable touch points to their journeys.
Take Instagram for example. Customers can learn about who you are as a brand by reading your posts, browsing your products and sending direct messages to your business within the social media app.
Additionally, you can create engaging campaigns with click-to-chat ads to start conversational commerce journeys, as well.
This all makes social media a great starting point for any business to begin adopting conversational commerce practices to increase engagement and conversion rates.
Chatbots
Customer expectations have changed drastically over the past few years. They are no longer willing to wait for responses and get frustrated with having to repeat themselves to support agents on the same issue.
By deploying a chatbot, your brand can streamline conversational services such as:
- FAQ responses
- Sending receipts or important documents
- Updates on delivery status
- Sharing product information
- Booking appointments
Many AI chatbots use natural language processing (NLP) to understand customer intent, respond in a human-like manner, and offer a smoother conversational commerce experience.
More recently, RAG Agents (a more modern AI chatbot) use Large Language Models (LLM) trained on company and customer data in combination with Generative AI to offer users the best possible customer support. These RAG Agents can complete more complex tasks making the user journey smoother.
What’s more, you will speed up customer support queues leading to fast resolution. This will increase customer and employee satisfaction and help you cut costs on call centers.
Live chat
When customers are navigating your website, live chat is an ideal tool for fast responses and immediate resolution for queries. You can help customers avoid having to make phone calls or leaving your site because they can’t be bothered to search for the answers they are curious about.
You can use an advanced Agentic AI agent that can autonomously make decisions and sort workflows or live agents to manage the live chats, and converse with multiple customers at once. Send product recommendations based on what information they share with you to walk them through the sales journey all on your website.
Conversational commerce use cases
Integrating conversations into every stage of the customer journey will help boost overall experience with your brand. From onboarding to re-engagement, you can craft conversations that will walk your customers through their entire journey:
Discovery
You can start designing conversational commerce experiences as customers are discovering your brand and products. Collect leads with click-to-WhatsApp ads on Facebook or Instagram and allow them to opt into notifications from you for promotional offers. If your channel of choice is Google’s Business Messages, allow customers to open a conversation with you over Google Maps or even directly on your website.
Having multiple entry points and allowing your customers to initiate the conversation is an excellent way to collect leads, inform potential buyers of your services and start a conversational experience that they are in control of.
Consideration
Now that you have an open conversation with your customer, you can continue sending relevant and meaningful messages that can help guide them through the sales funnel.
Take advantage of rich media features on chat apps to enrich the conversational experience. Allow customers to browse products and read details right in the chat app. Use list messages on Apple Messages for Business so customers skim through products, pick appointment times or find store locations.
Purchase
Completing a purchase through conversational commerce has never been more efficient. Gone are the days of opening multiple web pages or switching apps to complete a purchase. Now customers can pay right in the chat app.
On Apple Messages for Business customers can complete payments within the conversation. This makes finalizing a sale easier than ever because customers can browse products, choose what to purchase and complete the purchase without ever exiting the conversation with your brand.
Retention
Your conversation shouldn’t die out after a purchase. Make sure you continue to chat with customers to increase retention and encourage them to repurchase with you.
By sending delivery status updates, and e-receipts on chat apps, you can continue the conversation after they’ve completed the payment. Then collect feedback from them right in the chat with easy reply buttons for fast responses.
You can loop their journey back to purchase by sending promotional messages, time sensitive deals or loyalty point updates that encourage them to browse your products and make another purchase.
Conversational commerce examples
These examples of conversational commerce in practice help demonstrate how businesses in general can benefit from adding conversational experiences to their strategy:
Petpetgo
Doubled their purchasing frequency with our omnichannel customer engagement solution to improve marketing performance.
Unilever
Used a WhatsApp chatbot to promote new products and increased sales by 14x.
Bajaj Auto
Doubled their conversion rates and boosted engagement by 133% by adding WhatsApp and RCS to their communication stack.
By combining the right tools, channels, and strategy, your business can turn every conversation into a meaningful, revenue-driving interaction. With the right solutions it becomes easier to transform these use cases into fully orchestrated, personalized customer journeys, delivered in real time, across every touchpoint.
FAQs
Conversational commerce is a way to sell and support customers through messaging, chat, and AI-driven conversations. It helps brands answer questions, guide decisions, and move people toward action in the same flow.
Conversational commerce connects channels, automation, customer data, and handoff so customers can move through the journey in one conversation. It keeps context intact when a chatbot, AI agent, or human takes over.
Chat commerce usually refers to buying through chat, while conversational commerce is the broader strategy across sales and support. Chat commerce is one part of the bigger model, but conversational commerce covers the full journey.
Common channels include SMS, RCS, WhatsApp, live chat, and in-app messaging. Brands usually prioritize the channels their customers already use most and the ones that fit the journey they want to improve.
Conversational commerce reduces friction by answering questions, personalizing recommendations, and helping customers complete purchases faster. It can lift conversion when intent is already high, and the customer needs one last push.
Conversational commerce gives shoppers a fast way to clear up doubts about price, delivery, stock, or product fit before they leave. A quick answer at the right moment can keep the sale moving instead of letting interest fade.
AI agents handle routine questions, guide the next step, and route conversations to human agents when the issue needs more support. They work best as part of a connected flow, not as a standalone chatbot.
Brands measure conversational commerce with conversion, abandonment, resolution time, deflection, repeat purchase rate, and customer satisfaction. The right mix depends on whether the goal is sales, service, or both.
Brands need messaging channels, AI, customer data, orchestration, and a clear handoff between automation and human support. They also need content and routing rules that keep responses consistent as volume grows.
Conversational commerce is used across retail, travel, hospitality, fintech, marketplaces, telecom, and subscriptions. Any business with repeat questions, purchase friction, or service demand can benefit from it.