Personalized product recommendations
Show every customer what they want, before they know they want it
What are personalized product recommendations?
Personalized product recommendations are tailored suggestions you show to individual customers based on their unique data. AI analyzes each person's purchase history and browsing behavior 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 for a customer who recently bought a new mattress.
Why do personalized product recommendations matter?
Customers want to feel seen. Personalized 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 personalized product recommendations?
Unified customer data that powers smarter suggestions
Klaviyo, the autonomous B2C CRM with a built-in customer data platform and 350+ 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 personalized product recommendations work across email, text messaging, your website through Customer Hub, and other marketing touchpoints. That means customers get a consistent, personalized 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 context. Let’s say a shopper asks about running gear, for example. Customer Agent suggests running-related products, using the chat context to provide relevant, on-topic suggestions that match customer needs in real time.
Key features of Klaviyo's personalized 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 personalized product recommendations in Klaviyo
- Connect your data. Integrate your online store and the rest of your tech stack to automatically sync your full product catalog and historical customer data into Klaviyo.
- Configure your product feeds. Set rules to include or exclude products based on category, price, stock level, or customer engagement patterns.
- 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.
- Enable Klaviyo Service. Activate product recommendations in Customer Hub to display personalized 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.