Conversational AI for marketing: Transformative campaigns

Explore the benefits of conversational AI for marketing agencies, from boosting customer satisfaction to optimizing workflows.

A person wearing workout clothes stands outdoors and looks at a fitness tracker or smartwatch. Next to them is a promotional message featuring an image of people doing Pilates in a studio and an offer: "Hey Emma! We’ve got a special offer just for you: 3 Pilates classes for only $30 – this week only! Get moving and feel the difference. Ready to book?" with a "Claim Your Offer" button.

What is conversational AI for marketing? 

Conversational AI in marketing is the use of artificial intelligence technologies—like chatbots, virtual assistants, and voice bots—to enable real-time, personalized interactions with customers across digital channels. It blends natural language processing (NLP), machine learning, and automation to create meaningful, two-way communication experiences. 

Today’s customers expect instant responses and relevant messaging wherever they are—on social media, chat apps, or your website. Conversational AI meets those expectations at scale, helping marketers move from broadcasting to engaging. 

A person in a red sweater sits indoors using a yellow smartphone. Overlay notifications from Instagram, WhatsApp, and RCS showcase promotional messages: "Get 10% off with your own promo code" (Instagram), "Online flash sale – today only!" (WhatsApp), and "Get early access to new product launches!" (RCS), highlighting multi-channel marketing communications.

The benefits of AI conversational marketing 

Conversational AI can make marketing processes, operations, and campaigns efficient – something every marketer dreams of. Learn how to use it to reap the benefits and get the most out of this powerful tool:

Real-time engagement

Conversational AI enables instant, two-way communication on platforms like WhatsApp, websites, RCS, Messenger, and more. This allows marketers to connect with customers where they are, reducing wait times and boosting engagement rates. 

Personalized CX at scale

AI can analyze user behavior, preferences, and purchase history to deliver personalized content, product recommendations, and offers—without manual effort. This boosts relevance and drives higher conversion rates. 

Lead qualification and nurturing

Conversational AI can engage visitors, ask qualifying questions, and route high-intent leads to sales or CRM systems in real time. It automates early funnel activities, saving time and improving efficiency. 

24/7 availability

Unlike human agents, conversational AI operates around the clock. This ensures that marketing campaigns, product launches, and customer inquiries can be supported anytime—especially across time zones. 

Improved customer retention

Conversational AI supports ongoing engagement through proactive outreach, order updates, loyalty program notifications, and follow-ups—helping build long-term relationships and reduce churn. 

Actionable insights

AI tools collect valuable data from conversations—like common questions, drop-off points, and customer sentiment. These insights help marketers optimize messaging, segment audiences, and improve campaign performance over time. 

How conversational AI helps with personalization in marketing

Modern marketing is all about relevance—and conversational AI delivers it at scale. 

By analyzing customer data like location, behavior, and past interactions, conversational AI can deliver product recommendations, answer questions, and provide tailored content. This creates a 1:1 experience that feels human—even when it’s automated. 

Screenshot of a mobile chat with “ChicWear” showing a fashion chatbot suggesting a denim jacket and midi dress combo to a user, with a photo of a woman modeling the outfit and options to add to cart or browse similar styles.

RETAIL

Personalized product recommendations

A global fashion retailer integrates an AI-powered chatbot to engage customers during seasonal campaigns. The chatbot uses customer data (like previous purchases and browsing behavior) to recommend personalized outfits and accessories.  

TELCO

Lead qualification

A telecom company embeds a conversational AI assistant on its website to guide visitors through mobile and broadband plan options. The bot asks questions about usage needs, budget, and location—then suggests plans and captures qualified leads for the sales team. 

Screenshot of a mobile chat with "My Telco" showing an automated conversation to recommend an internet plan. The user indicates three people regularly use the home internet and works from home. The chatbot recommends the "Unlimited Home Pro" plan with 100 Mbps and a free router, and offers a callback to get started.
Sreenshot of a mobile chat with ExploreGO showing a saved flight itinerary offer to Rome: round trip from NYC, June 15–22 for $499, with an option to resume booking or chat with an agent and a note about a 10% discount for booking within 2 hours.

TRAVEL

Abandoned booking

A travel booking platform uses a conversational AI chatbot to follow up with users who started but didn’t complete a booking. The AI chatbot re-engages them with saved itineraries, offers real-time support, and introduces a limited-time offer to complete the booking. 

BANKING

Promoting new products

A regional bank uses a conversational AI chatbot to promote a new digital savings account. The bot explains product benefits, answers eligibility questions, and helps users start the application process—all within the chat. 

Screenshot of a mobile chat with "Global Bank" offering a new Digital Savings Account with 3.5% interest and no monthly fees. The user is prompted to compare accounts or sign up, and is informed that the new account offers a higher rate than their current 1.2% savings account and requires no minimum balance.

Conversational AI across marketing channels 

There’s a range of ways brands can connect with customers for marketing messages – depending on the journey, customer preference, and context of the message, you might want to mix your channel usage. Here are some examples of how conversational AI can be used across the journey, on multiple channels.

The role of conversational AI in customer retention 

Customer loyalty doesn’t just happen-it’s earned through consistent, meaningful engagement. 

Conversational AI supports long-term relationships by being proactive, helpful, and always available. Whether it’s answering questions, providing order updates, or checking in post-purchase, AI helps brands stay top of mind. 

How it helps: 

  • Reorder and refill reminders 
  • Loyalty program updates 
  • Personalized thank-you messages
  • Real-time resolution for issues 

How to measure the impact of conversational AI on marketing efforts

Data-driven marketers want clear ROI. Conversational AI offers measurable impact at every stage of the funnel. Infobip’s platform provides built-in analytics so you can monitor performance in real time—and optimize accordingly. 

Key metrics to track:

  • Engagement rate: Are users interacting with your AI experiences? 
  • Conversion rate: Are those interactions driving sales, sign-ups, or leads? 
  • CSAT/NPS: How satisfied are users with the AI interactions? 
  • Drop-off points: Where are users abandoning conversations? 

Integrate conversational AI into your CRM 

Integrating conversational AI with your Customer Relationship Management (CRM) system turns every customer interaction into actionable insight. It bridges the gap between marketing conversations and backend data—enabling smarter campaigns, automated workflows, and more meaningful engagement across the customer journey.

Without integration, conversations via chatbots or messaging apps often stay siloed, making it difficult to track user behavior, follow up effectively, or personalize future outreach. But with CRM integration, marketers can: 

Discovery

Capture and enrich lead data

Automatically collect customer details (e.g., name, email, preferences) during AI-powered conversations and sync them with your CRM.

Targeting

Segment audiences intelligently

Use real-time conversation data to create hyper-targeted segments based on behavior, purchase intent, or lifecycle stage.

Automation

Automate campaign triggers

Set up CRM-driven automation flows—for example, send a special offer when a customer shows interest in a product or re-engage leads who drop off.

Personalize

Gain a 360° customer view

Combine chatbot transcripts, campaign interactions, and purchase history into a single profile, improving personalization and timing. 

Apply feedback

Close the feedback loop

Feed CRM analytics back into conversational flows to improve performance and user experience continuously. 

Compatible CRM platforms 

Leading conversational AI platforms like Infobip integrate seamlessly with major CRMs. These integrations ensure that every interaction—on WhatsApp, Messenger, web chat, RCS, or Instagram—is connected to the broader marketing strategy and customer lifecycle. 

Integrate Infobip with your favorite CRM:

  • Hubspot
  • Salesforce
  • Zoho
  • Microsoft Dynamics
  • Pipedrive
  • Custom-built systems via API/webhooks  

Why marketers are embracing conversational AI 

Conversational AI is no longer a “nice-to-have”—it’s a competitive advantage. For marketers, it means:

How it helps: 

  • Less manual work
  • More relevant messaging 
  • Always-on engagement 
  • Higher conversion rates 
  • Stronger customer relationships 

Whether you’re running campaigns for an eCommerce brand, managing leads for a B2B client, or building loyalty programs, conversational AI gives you the scale and intelligence to do it better. 

Learn how to create exceptional conversational experiences

Let’s talk about your conversational strategy 

Infobip helps leading brands and agencies integrate conversational AI into their marketing stack—from strategy and setup to performance tracking.