Automatically suggest products or content based on visitor behavior, popularity, and similarity — powered by collaborative filtering and content-based algorithms.
Adobe Target Recommendations automatically suggests products, content, or offers based on previous user activity, preferences, and other criteria. It uses a catalog of items and behavioral data to determine what each visitor is most likely to engage with, increasing conversions and engagement.
Adobe Target Recommendations can be delivered via either the VEC (using design templates) or the Form-Based composer (for custom rendering). Both approaches use the same recommendation algorithms.
renderDecisions: truedecisionScopesThe hero section below contains elements targetable via the Visual Experience Composer. In a Recommendations activity, the VEC places a design template (carousel, grid) that auto-renders with algorithm-selected products.
Powered by collaborative filtering and content-based algorithms — see products matched to your browsing behavior and preferences.
View Recommendations →💡 Create a Recommendations activity in Adobe Target using the VEC. Insert a recommendation design template into the hero area, choose an algorithm (e.g. "Viewed Also Viewed"), and the SDK auto-renders the products via renderDecisions: true.
Choose a product you're "viewing" and switch between recommendation algorithms to see how the results change. Each algorithm uses different signals to rank recommendations.