Scenario-based collections
Use popular, similar, complementary, recently viewed and context-driven lists in the right placement.
All products
Personalize every storefront
Show the right product at the moment a decision is made.
Publish catalog-, context- and behavior-aware recommendations across home, category, product and cart placements. Manage and measure every placement independently.
Sanitized product preview
Product detail · Similar productsContext-aware recommendation
Linen ShirtSKU-DEMO-01
Linen TrousersSKU-DEMO-02
OvershirtSKU-DEMO-03
Product Recommendations
Core capabilities
Catalog eligibility
Apply activity, stock, price and displayability checks so visitors only see products that can actually be sold.
Placement-level control
Configure scenario, limit, source product and content behavior independently for every recommendation placement.
From impression to revenue
Connect impression, click and purchase signals with the same placement code to understand contribution.
Product Recommendations
How it works
- 01
Receives context
Collects page, source product and visitor signals.
- 02
Selects eligible candidates
Applies catalog constraints and the chosen scenario.
- 03
Publishes the placement
Delivers results to your storefront through the SDK or API.
Operational fit
Use cases
Similar and complementary products on product pages
Cart cross-sell and average order value growth
A dynamic homepage storefront based on visitor interest
Platform
Related products to evaluate
Product Recommendations