Send AI-Powered Product Recommendations
Automatically recommend products based on purchase history and browsing
Klaviyo automation that analyzes each customer's past purchases and browsing behavior, then sends personalized product recommendations via email, increasing order value.
Customers don't know what else you sell. This automation analyzes each customer's purchase and browse history, identifies product categories and price points they prefer, and recommends complementary items. For example: if a customer bought a coffee maker, Nora recommends coffee beans, filters, and travel mugs. If someone browses athletic shoes but doesn't buy, Nora recommends similar styles in their preferred price range. Emails include 3-5 personalized product recommendations with images, prices, and direct 'Buy Now' links. The automation runs weekly, so recommendations stay fresh and reflect both past purchases and recent browsing. A typical personalized product recommendation email sees 2-3x higher click-through rate than generic 'shop new arrivals', and generates 15-25% incremental order value. For a store with 10,000 active customers, even a 5% response rate with $25 average order value means $12,500 monthly incremental revenue. This saves 5-6 hours weekly of manual product selection and recommendation curation.
How it works
- Query customer purchase history and product views
- Identify product categories and price preferences
- Find complementary or upsell products customer hasn't seen
- Rank recommendations by predicted relevance score
- Generate email with 3-5 personalized product recommendations
- Include direct 'Buy Now' links and expected delivery dates
Frequently asked questions
What does "Send AI-Powered Product Recommendations" do?
Klaviyo automation that analyzes each customer's past purchases and browsing behavior, then sends personalized product recommendations via email, increasing order value.
How long does setup take?
Under 5 minutes. Connect your tools and Nora handles the rest.
Which tools does this use?
Uses Klaviyo, run by your Ecommerce Manager.
How much time does this save?
Saves approximately 5 hours/week, running weekly on thursday at 10:00 am.