What it does
Use when a user mentions "personalization & recommendations", or asks for related help. Catalog-aware recommendations across web, email, and app surfaces.
You get
Recommendation
Recommendation produced by this recipe.
Personalization
Personalization produced by this recipe.
Segment
Segment produced by this recipe.
Experiment
Experiment produced by this recipe.
Content Asset
Asset produced by this recipe.
Journey
Journey produced by this recipe.
Dashboard
Dashboard produced by this recipe.
How it works
Build Recommendation
create_recommendationConfigure recommendation engine sourcing from product catalog with collaborative-filtering and item-similarity models.
Build Personalization
create_personalizationConfigure personalization rules serving recommendations on PDP, cart, post-purchase, and email surfaces.
Segment Cohorts
Create SegmentSegment users into recommendation cohorts (new visitor, browsing, returning, lapsed) for tuned strategies.
Build Experiment
Run ExperimentAdd A/B variants comparing personalized recs vs trending products vs editor
Build Content
Generate ContentGenerate email modules that surface recommendations within campaign and journey emails.
Build Recs Journey
Create JourneyBuild a journey delivering personalized product picks to high-intent browsers.
Build Dashboard
Build DashboardCompose a dashboard tracking recommendation CTR, attributed revenue, and per-surface performance.
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