A you may also like app shows shoppers products related to what they are viewing or buying, the same nudge that lifts order value on the biggest stores. The apps here range from AI engines that personalize recommendations across the whole funnel to simple blocks that recreate the classic frequently bought together section. The right one depends on how smart you need the suggestions and where you want them to appear.

How Product Recommendations Lift Order Value

Most shoppers buy one item and leave, but a well placed recommendation can turn one purchase into two. The trick is relevance: a suggestion tied to what the shopper is actually looking at converts, while a random block gets ignored. That is the difference between a simple also bought list and an AI engine that adapts to each visitor, and it is why recommendations sit on so many high performing stores.

Recommendations, Upsells, and Personalization

These overlap. A recommendation suggests related products; an upsell nudges a bigger or add on purchase; and personalization tailors the whole experience to the shopper. Many apps do more than one. For personalization across the store rather than just product suggestions, see our personalization apps.

What to Look For in a Recommendation App

  • Placement. Decide where you want recommendations: product page, cart, checkout, or post purchase.
  • How smart it is. A fixed also bought block is simple; an AI engine adapts to each shopper and usually converts better.
  • Speed. Recommendation widgets add scripts, so favor apps with clean output that do not slow the page.
  • Testing. A/B testing lets you prove a recommendation is actually lifting order value.

Where to Place You May Also Like Blocks

The same recommendation can perform very differently depending on where it sits. On the product page, a you may also like row helps a shopper who has not decided yet, widening what they consider. In the cart, it works as a last minute add on before checkout. On the thank you page, it opens a second purchase once the first is locked in. Placing the block where shopper intent is highest, usually the product and cart pages, tends to return the most, and you can add more placements once the first is proven.

Manual vs Automatic Recommendations

Recommendation apps fall into two broad styles. Automatic engines use behavior and order data to pick what to show, which scales well once you have traffic and sales to learn from. Manual curation lets you hand pick pairings, useful for a small catalog, a new store with little data, or products that need to be shown together for a specific reason. Many apps let you combine the two, running automatic suggestions by default while pinning or excluding certain products to keep the block on brand.

Key Takeaways
1
A you may also like app shows shoppers relevant products at the right moment, lifting average order value from traffic you already have.
2
Rebuy leads with AI recommendations across the funnel; simpler apps like Also Bought recreate the classic frequently bought together block.
3
Match the app to where you want recommendations: on the product page, in the cart, at checkout, or after purchase.

Our Picks: 10 Shopify You May Also Like Apps 2026