Overview
Product recommendations are generated from real browsing, purchase, and catalog data, so every shopper sees relevant products across the storefront, search, and email, driving more of each visit toward a purchase.
What's included
1
Personalized product suggestions
Recommend products based on each shopper's real behavior.
2
Cross-sell & upsell placements
Surface relevant add-ons at the moments that convert best.
3
Behavior-based re-ranking
Adjust search and category results based on live shopper signals.
4
Channel-wide consistency
Apply the same recommendation logic across web, app, and email.
How it works
Connect
Link the recommendation engine to your catalog and behavioral data.
Configure
Tune recommendation placements across storefront, search, and email.
Launch
Go live and measure lift in conversion and average order value.