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Ecommerce Personalization

Personalization changes what a shopper sees using known context or behavior. Use it only when the data is reliable, and the result remains relevant, easy to understand, and respectful of the shopper’s choices.

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

How is it different from recommendations?

Recommendations are product suggestions. Personalization can also change the order of categories, messages, or offers. A “You may also like” row might be personalized, while a fixed “Accessories that fit this product” row is simply a recommendation.

What data might be used?

A store might consider the current product, chosen category, recent browsing or past orders where appropriate. Check applicable consent and privacy requirements before collecting or using personal data; do not infer sensitive traits from weak signals.

When can it make discovery worse?

If a customer viewed one product for a friend, a homepage full of similar products may hide what they actually want next. Keep search, navigation and the full catalog accessible, and provide a neutral fallback when the data is thin.

A simple check to try

Compare the same page as a new and returning visitor. Record what changes, what data caused it and whether the default experience remains useful.

Foundation · 2 min

Frequently asked questions

Should a new store personalize immediately?

No. Start with accurate categories, search, and product relationships. Add personalization when there is evidence it helps shoppers.

Where are personalization controls?

Check current platform capabilities and consent requirements before using customer data to change the shopping experience.

Ready for the next stage?

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

Start Advanced techniques