Can an app recommend products based on customer statistics?

Shopify Discussion
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Topic summary

A merchant is seeking an app to display personalized product recommendations (like “You may also like”) based on customer statistics and behavior.

Available Solutions:

Several Shopify apps can accomplish this through AI-driven analysis of browsing data and purchase history:

  • LimeSpot Personalizer – AI-powered recommendations across product pages, cart, and emails
  • Recom.ai – Multiple recommendation widgets including upsell and cross-sell options
  • Frequently Bought Together – Focuses on product bundling based on purchase patterns
  • Boost AI Search & Discovery – Enhanced search with smart recommendations
  • ConvertWise – AI algorithm analyzing shopping behavior with customizable styling and multiple recommendation logics (frequently bought together, most popular, etc.)

Custom Development Option:

Shopify’s Product Recommendations API allows developers to build custom solutions. A basic Liquid code example was provided showing how to display related products from a specific collection, which can be modified for dynamic selection based on customer behavior.

Both ready-to-use apps and custom-coded approaches are viable depending on the merchant’s technical capabilities and specific requirements.

Summarized with AI on October 31. AI used: claude-sonnet-4-5-20250929.
1

Hello everyone,

I was wondering if there exists an app that can collect customers statistics and give them recommended products in the search area or on the product site. Like a box being “You may also like:”

Thank you!

2

Hi @DybergLarsen

That’s a great question, and I totally get why you’d want an app that can recommend products based on customer statistics. Personalized recommendations can seriously boost sales and enhance customer experience.

To answer your question—yes, Shopify has several apps that can do exactly that. These apps analyze customer behavior, purchase history, and even browsing data to display product recommendations like “You may also like” or “Customers also bought.” Some of the best options available right now include:

  1. LimeSpot Personalizer – Uses AI to track customer preferences and show personalized product recommendations on product pages, cart pages, and even email campaigns.
  2. Recom.ai – Upsell & Cross-Sell – Offers various recommendation widgets, including frequently bought together, similar products, and personalized suggestions.
  3. Frequently Bought Together – Specifically focuses on bundling products based on customer purchase behavior.
  4. Boost AI Search & Discovery – Enhances Shopify’s native search functionality while also offering smart product recommendations.
  5. Wiser – Personalized Recommendations – A well-rounded app that shows different types of recommendations like trending, new arrivals, and frequently viewed products.

If you’re looking for a more custom approach, Shopify also allows developers to integrate AI-based recommendations using Shopify’s Product Recommendations API. Here’s a basic way to implement a recommendation box on your product page using Liquid:

You may also like

This code pulls in related products from a specific collection and displays them in a list format. You can modify the collection to be dynamically selected based on the customer’s browsing behavior.

So, whether you want a ready-to-use app or a custom-coded solution, there are plenty of options to get product recommendations up and running on your store.

If you need extra help, just let me know asap. Thanks!
Daisy.

3

Hey @DybergLarsen , in addition to the apps that @DaisyVo mentioned, I think ConvertWise is definitely worth a try.

Our AI algorithm analyzes your store’s shopping behavior to generate dynamic recommendations on your website - homepage, product display page & even inside the cart.

In addition to AI-based recommendations, you can suggest products based on different logics, such as frequently bought together, most popular, etc.

We also let you style them to seamlessly blend into your site. Do let me know if you have any further questions with respect to their impact on the website or anything else. Feel free to see them in action on our demo store here.