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Klaviyo Data Platform

Personalised product recommendations

Show every customer what they want, before they know they want it

Smarter recommendations from unified customer data

Generated by Klaviyo AI

Personalised product recommendations use purchase history, browsing behaviour, and similar shoppers’ activity to suggest relevant products. Klaviyo supports these recommendations across email, text messaging, Customer Hub, and web chats, using unified customer data and real-time context.

  • Relevant product discovery: Tailored suggestions can help customers find products faster while supporting cross-sells, up-sells, and loyalty.
  • Unified customer profiles: Klaviyo combines clicks, purchases, interactions, and AI-powered predictions in real time to inform recommendations.
  • Cross-channel consistency: Recommendations can appear across email, text messaging, Customer Hub, and other marketing touchpoints.
  • Conversational context: K:AI Customer Agent adapts product suggestions to the context of each website chat in real time.
  • Flexible configuration: Product feeds can include or exclude items based on category, price, stock level, or customer engagement patterns.

What are personalised product recommendations?

Personalised product recommendations are tailored suggestions you show to individual customers based on their unique data. AI analyses each person's purchase history and browsing behaviour alongside what similar shoppers have bought to surface the products each specific customer is most likely to buy.

For an online store, this could mean showing a customer a new pair of running shoes after they recently bought running shorts, or recommending a specific set of sheets to a customer who recently bought a new mattress.

Why do personalised product recommendations matter?

Customers want to feel seen. Personalised recommendations make your messages feel more relevant and timely, so customers find what they want faster and with more confidence in your brand.

The business impact is direct. Relevant suggestions can improve product discovery, boost average order value through smart cross- and up-sells, and build loyalty that keeps customers coming back because they trust your brand to know them.

Why choose Klaviyo for personalised product recommendations?

Unified customer data that powers smarter suggestions

Klaviyo, the autonomous B2C CRM with a built-in customer data platform and 400+ pre-built integrations, unifies all your customer data in real time. Every customer profile shows data from every click, purchase, interaction, and AI-powered prediction, so recommendations always draw on a complete view of each person.

Recommendations across every channel

Klaviyo’s personalised product recommendations work across email, text messaging, your website through Customer Hub, and other marketing touchpoints. That means customers get a consistent, personalised experience wherever they interact with your brand.

Real-time conversational context

When a customer is chatting with K:AI Customer Agent on your website, the AI agent’s product recommendations adapt instantly to the context. For example, let’s say a shopper asks about running gear. Customer Agent suggests running-related products, using the chat context to provide relevant, on-topic suggestions that match the customer’s needs in real time.

Key features of Klaviyo's personalised product recommendations

Feature

Description

Available on Klaviyo

Product blocks

Automatically populate with AI-powered personalized recommendations for every recipient based on their browsing and purchase history

Product feeds

Let you create sets of products based on rules you define, filtering by category, price, stock level, or customer engagement

Customer Hub and Customer Agent recommendations

Show personalized product recommendations on your website when customers log in to their account or chat with AI

How to get started with personalised product recommendations in Klaviyo

  1. Connect your data. Integrate your online store and the rest of your tech stack to automatically sync your full product catalogue and historical customer data into Klaviyo.
  2. Configure your product feeds. Set rules to include or exclude products based on category, price, stock level, or customer engagement patterns.
  3. Add recommendation blocks or feeds to your messages. Drag a product block or feed into your template and select AI-powered suggestions for your recommendation logic.
  4. Enable Klaviyo Service. Activate product recommendations in Customer Hub to display personalised suggestions on your website for signed-in shoppers. Customer Agent, meanwhile, can provide real-time recommendations to customers based on web chat conversations.

Ready to put your customer data to work? Get started with Klaviyo Data Platform today.

Power smarter digital relationships with Klaviyo.