Show the same smart recommendations everywhere a customer looks

A recommendation engine that only lives on the product page misses two-thirds of the surfaces where it could actually drive a sale. This builds catalog-aware recommendations that work across web, email, and app.

Marketexperience-optimizerEcommerceAdvanced7 steps7 outputs

+3 more

Recommendation Personalization Segment Experiment Content Asset Journey Dashboard

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What it does

Builds catalog-aware product recommendations that surface consistently across web, email, and app, rather than being confined to a single channel.

You get

cross-surface catalog recommendations

How it works

Build Recommendation

create_recommendation

Configure recommendation engine sourcing from product catalog with collaborative-filtering and item-similarity models.

Produces:Recommendation

Build Personalization

create_personalization

Configure personalization rules serving recommendations on PDP, cart, post-purchase, and email surfaces.

Produces:Personalization

Segment Cohorts

Create Segment

Segment users into recommendation cohorts (new visitor, browsing, returning, lapsed) for tuned strategies.

Produces:Segment

Build Experiment

Run Experiment

Add A/B variants comparing personalized recs vs trending products vs editor's-pick.

Produces:Experiment

Build Content

Generate Content

Generate email modules that surface recommendations within campaign and journey emails.

Produces:Content Asset

Build Recs Journey

Create Journey

Build a journey delivering personalized product picks to high-intent browsers.

Produces:Journey

Build Dashboard

Compose a dashboard tracking recommendation CTR, attributed revenue, and per-surface performance.

Produces:Dashboard

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