# 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.

- Type: Merchant guide
- Level: Intermediate
- Reading time: About 4 minutes
- Audience: Written for store owners, builders, and designers refining high-performance ecommerce stores.
- Last updated: 2026-11-04
- Canonical page: https://academy.getzenbasket.com/merchant-questions/ecommerce-personalization/
- Part of: [Merchant Questions](https://academy.getzenbasket.com/merchant-questions/) on ZenBasket Academy

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## 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.

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## 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.

## Related articles

- **Ecommerce Product Recommendations**
- **Ecommerce Search Metrics and Demand**
- [ZenBasket Build Guide](https://help.getzenbasket.com/zenbasket-builder/)
