Discover for You

Click Through Rate

Personalize Product Discovery for your customers, enabling an individually relevant browsing experience

  • Recreate the brick and mortar experience by recreating the sensation of a guided visit, product discovery, engagement and impulse buying through the online store setup.
  • Showing interesting products for the consumer, that are outside of their typical browsing history.


Without a guided and relevant visit, browsing can quickly become overwhelming and feeling impersonal, resulting in online shoppers losing interest quickly and closing their sessions without a purchase.


Froomle offers a number of Product Discovery focused modules that all share the same goal of increased conversion and Average Order Value. They can be adapted depending on the specific use case and goals of your business.

Related/Similar products for you

A module containing products often browsed together with the product the user is browsing, using filters if required.

This kind of recommendation promotes:

  • Increasing CTR & conversion up to 200%
  • Quick access to alternatives

Recommended for you

A module containing personalized recommendations for every visitor. Configurable settings like diversity, rewatchability & handpicking are included.

  • Increased browsing time & loyalty
  • Increasing CTR & conversion up to 200%

Discover for you

Showing interesting products for the consumer, that are outside of their typical browsing history.

This type of recommendation promotes:

  • Increased browsing time & engagement
  • Product discovery to decrease bouncing

Complete your purchase

Recommend personalized items that complement the existing product being viewed (could also be named “Complete the room” for home goods or “complete the routine” for cosmetics). Contains products that are often bought together & complement your basket.

This module takes into account individual behavior but also:

  • Based on items frequently bought together with that product
  • Optimized to avoid cannibalization

Because you viewed

Module showing products similar to those the user previously viewed without purchasing.

  • Convince users to buy an alternative product rather than bouncing


  • Create a personal and relevant online shopping experience
  • Fully automate and optimize the product recommendations to enable product discovery  
  • Increases your most important KPIs


Perfect for

How it works?

1. Visitors will be shown diverse recommendations on key areas throughout your webshop.

2. Based on the module, placement and the user history our algorithms (based on ALL user behavior) will show a personalized (and unique) set of products:

  • "Similar" Products removes the stopping factors of not choosing the right item by offering alternatives
  • "Discovery" Products offers new products which are novel yet still in the general area of interest to the user
  • "Complete the Purchase" Products offer complimentary products which are novel yet still in the general area of interest to the user

3. With each product clicked or purchased, the Froomle algorithm will adapt the recommendations throughout the journey.

Mix and match with

Loyalty & Rewards Email Module

Module focused on increasing the effectiveness of Loyalty emails, making sure each user receives the best promotions tailored to their interests.

Category Page Ordering

Order the results of a typical category page in an order that optimizes engagement: taking into account user history but also allowing for boosting based on sales period, seasonalities, and diversity of the first rows.

Influencer Boosted "Similar Items"

A module on the landing page of a campaign that focuses on similar items to the product being promoted, also keeping in mind the audience of that specific influencer when making the recommendations.

Featured Collection

A module containing personalized recommendations from within a specific collection or category, such as New In, Promotions, products in a Loyalty program, specific product type, …


Get started

To get started, Froomle will require the following data:  

  • Online events (page views, impressions, clicks, and purchases)
  • Your product catalogue including all metadata and stock data you can share

This data combined with a few lines of code will have your module up and running!

High-Impact Personalization

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