One store, tailored by recommendations.

Key Placements (Home, PDP, Cart)

• Homepage: “Recommended for you,” “Trending in your area,” “Recently viewed.”
• PDP: “Similar items,” “Frequently bought together,” “Complete the look.”
• Category/Search: “Top rated in this category,” “Because you liked…”.
• Cart/Checkout: “You may also need…,” low-friction add-ons and refills.
• Empty states/404: rescue rails to keep shoppers exploring.
• Email: rec slots that render at open time (optional) to keep messages fresh.

Signals & Ranking

Models blend behavioral, similarity, and context signals to rank items:

• Behavioral: views, carts, purchases; recency/frequency; session depth.
• Similarity: attributes (brand, color, price band), embeddings, co-view/co-buy.
• Context: geo, device, traffic source, inventory and price.

The result is a personalized, high-intent list for each placement—updated live as shoppers interact.

John — Tech & Outdoors Persona A

Product listing emphasizes camping gear and tech accessories relevant to his interests.

• Recommended: multitools, electronics, and gadgets
• CTAs: “Quick look”, “Add to cart”
• Higher engagement & AOV

Jennifer — Family & Wellness Persona B

Product listing highlights yoga and family-oriented products matched to her browsing behavior.

• Recommended: yoga mats, toys, home goods
• CTAs: “Quick look”, “Buy now”
• Boosts personalization & conversions

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Business Rules & Pinning

Combine algorithms with merchandising controls: exclude OOS/low-margin SKUs, cap duplicates, promote seasonal collections, or pin hero items for campaigns and launches.

John — Tech & Outdoors Persona A

Shows bundle upsells that pair tools with related accessories.

• Frequently Bought Together (multitool + sheath)
• “Add all to cart” bundle CTA
• Higher AOV via cross-sale

Jennifer — Family & Wellness Persona B

Bundles complementary items (e.g., yoga mat + strap) with a single-click add.

• Smart bundles based on browsing history
• Inline price + savings shown
• Increases cart size & conversions

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Badges & Social Proof

Add persuasive overlays—ratings, review counts, “Popular now,” “Only 3 left”—using social proof to increase click-through and cart adds.

On-site Promos & Bars

Pair recs with targeted notices (free shipping thresholds, bundle savings) built in the Pop-up & Banner Manager. Trigger by cart value, category interest, or inventory urgency.

A/B Testing & Lift

Test rail logic, badge sets, and layouts against control. Track CTR, add-to-cart rate, revenue per session, and downstream effects (AOV, conversion).

How do the carousels render?

Client-side via the personalization tag/SDK, or server-side where needed. Layouts are theme-agnostic.

Can I keep my merchandising rules?

Yes—layer rules over algorithms: exclude, boost, pin, and schedule by campaign.

What’s required to start?

Product feed (IDs, titles, URLs, price, stock, attributes) and the site tag. Optional: review data and margin bands.

Demo — adaptive recommendations across homepage, PDP, cart, and email, powered by real-time shopper signals.