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Ecommerce Product Recommendations

Recommend products that fit what the shopper is viewing or buying. Begin with clear, hand-checked relationships and use behavioral data only when it improves the suggestions.

About this path

Level
Intermediate
Reading time
About 4 minutes
Sections
3
Account needed
No

Written for store owners, builders, and designers refining high-performance ecommerce stores.

Foundation · 2 min

What you need to know

Where should suggestions appear?

On a product page, you can show another product with similar characteristics, or an accessory proven to fit the selected item. In the cart, you can offer a compatible gift bag. Each location needs a reason the shopper can recognize.

What if a visitor is new?

Show relevant best sellers, related categories or merchant-picked complements instead of pretending to know personal preferences. A new shopper viewing a product can see other similar options without a personal history.

What should be excluded?

Remove unrelated accessories, products unavailable for purchase when that matters, and duplicates of the item already in the cart. Consider price and compatibility, but do not assume every buyer wants only products in one price band.

A simple check to try

Open a product, cart, and empty search page. Check whether each recommendation is available, relevant, and clearly separate from the main choice.

Foundation · 2 min

Frequently asked questions

How many products should appear?

Use a small set that is easy to scan on the available screen. Inspect the actual suggestions and their clicks instead of following a fixed number.

Where are product recommendations configured?

Use the current recommendations guide and test each placement with available products before publishing it.

Ready for the next stage?

Continue through the Academy sequence to apply advanced optimization and scaling techniques.

Start Advanced techniques