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

A module containing the most relevant articles for a user based on what we know about him/her.

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A module containing the most relevant shows or /episodes for a user based on what we know about him/her.

A module selecting shows complementary and/or similar to a number of shows previously watched by the user.

Contains personalized items that complement the existing product being viewed. Contains products that are often bought together & complement your cart.

A module showing the articles that the user is most likely to click on given the current article being read.

A module proposing shows/episodes already watched by users sharing a similar watching history.

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

A module proposing relevant content previously curated by the editorial team. The module will apply its personalisation not to the entire catalog, but from a shortlist defined by editors. 

Can be used either as an additional box or replacing a ‘headlines’ box on the existing website.

A module containing the most relevant regional articles for a user based on profile and/or reading history.

A module containing the most popular products sold on a webshop, optimized for conversion.

A module containing shows being popular during the predefined period in a specific region or country (“Popular in Italy”, “Popular in Lombardy”, …).

Selection of personalized recommendations restrained to a number of dynamic filters or preferences.

A module proposing a list of relevant paid content directly on the paywall. Used to convince readers to take a subscription by seeing the value they will get.

A module proposing relevant shows/episodes from a specific category (“drama”, “comedy”, …)

A module containing free content for users with low propensity to subscribe, and paid (well converting) content for users with high propensity to subscribe.
The main aim is to optimize conversions through the recommendations depending on their propensity to subscribe.

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A module showing a set of products recently purchased by the user.

A module proposing “evergreen” movies or series maintaining their popularity despite their age.

Selection of the most popular viewed products in your webshop.

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A module containing highly relevant premium content from your platform, to drive conversions and engagement.

A module proposing shows that are completely different from what the user has been watching lately but at the same time very popular.

A module recommending shows from a shortlist that is manually defined, based on commercial agreements or editorial choices.

Select the right audience for a specific campaign to increase the profit margin and response. Campaigns can be sent via any outbound platform you are using.

Channels can include: sms, email, push or paper mail.

For this module, a design workshop and agreed delivery timeline is applicable.

Products recently viewed by the user without purchasing.

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

A module proposing new and relevant content from the catalogue.

A module presenting a user that’s about to exit your website with engaging content to reduce bounce rate.

A module that you integrate into your internal sales tool, to see product recommendations personalized for each customer alongside the customers’ profile.

Froomle can deliver this as a standalone sales tool as well, which requires a design workshop and agreed delivery timeline.

A module containing selected relevant & unread articles for a user from a selected timeframe.

A module containing typical 'add-ons' to the currently bought product(s) to be shown on a cart/check-out page. Optimized not to distract the user with alternatives.

A module showing the most popular articles at that time.

A module proposing new and relevant shows from the catalogue.

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A module designed for newsletters, proposing relevant & popular recommendations from the previous period, naturally filtering out content already watched.

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

A module designed for email communication, proposing items very popular in the last period but overlooked (or not impressed) to the user.

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A module containing recent articles from a given section/tag/category, ordered based on relevance for the user.

A module containing articles from the same section/category/tag as the article the user is browsing, optimized to show articles with highest engagement on top.

A module showing different products viewed recently by the user, and related products to each viewed product.

A module proposing the next unfinished episode from content being watched.

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A module selecting the next best episode/show to automatically play after the content currently watched.

A pop up screen that appears upon adding an item to their cart that shows recommendations that are focused on showing typical add ons.

Optimized not to distract the user with alternatives.

A module containing personalized & related video recommendations at the end of a video. Can also be used for implementing ‘auto-play’ functionality.

Order the results of a typical category page  by taking into account user history and preferences to increase engagement and user experience.

This also allows for boosting based on sales period, seasonalities, and diversity of the first rows.

Propose videos or series you watched already (a long time ago) eventually depending on seasonality (winter classics, …).

A module that shows the most relevant articles for a given Topic(Vertical/Section/Category) as labeled by the Newsroom.

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A module proposing content that will soon no longer be available on the platform (for commercial or editorial reasons).

A module ordering different (sub)sections (e.g. News, Politics, Sports, …) based on the user’s browsing history. 

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It can also  be combined with Topical Recommendations to populate each topic lane.

Module focused on increasing the re-engagement and order value of abandoned cart emails, showing add-ons and alternatives to the abandoned cart.

We recommend whether or not to show a user a paywall, based on the user’s likelihood to buy a subscription. This score can be used in a dynamic subscription platform or in your own site.

Module focused on increasing the user loyalty for post-purchase emails, showing add-ons and novelties matching the purchased products.

A module proposing the most relevant movies or series that received an award.

Guide users to interesting products or a checklist for helping them discover your products using our AI based product recommendations modules.

For this module, a design workshop and agreed delivery timeline are applicable.

Our Editorial Support modules are designed to increase insights, trust and actionability through Froomle’s AI based solutions, empowering your editorial team.

Understand your audience better using Froomle’s insights on user segments and user profiles based on your articles’ content (interests, locations, sports …).

If you are creating a recommendation bot to guide users to interesting content for them, Froomle can support with our AI based product recommendations.

Select the right audience for a specific campaign to increase the profit margin and response, based on user buying behavior. Campaigns can be sent via any outbound platform being used.

(SMS, email, push, paper mail).

For this module, a design workshop and agreed delivery timeline are applicable.

Select the right audience for a given campaign or communication, taking into account your main business objective (conversion, retention, ...).

Froomle will make sure each user gets the right messages at the right time, and doesn't feel spammed.This module can be used for all outbound communication e.g. push notifications, email, sms or print copy.

This module integrates on a deeper level than regular recommendation boxes, which requires an upfront alignment between technical teams.

Our Editorial Support modules are designed to increase insights, trust and actionability through Froomle’s AI based solutions, empowering your editorial team.

A set of tools allowing newsrooms or marketing teams to identify gaps in their content:

> Write less or more on a certain Topic

> Trend being missed by the newsroom and should be added

> Suggestions to deprecate Topics

This module integrates on a deeper level than regular recommendation boxes, which requires an upfront alignment between technical teams.

Serve hyperlocal sports content to interested users, based on their reading behavior. Automated generation of content by our partner United Robots is an option.

A module focusing on longreads or “opinion” papers, having a longer shelf life. In this module, the preference for a certain author is being analyzed.

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A module serving audio content to interested users, based on their listening behaviour.

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A module proposing properties from connected real-estate platforms according to the user’s interests and behavior.

A module proposing products from connected eCommerce platforms according to the user’s interests and behavior.

This module provides data based suggestions towards editorial and newsroom teams based, for example which articles to promote, push or use in newsletters.

Select & order the results of a search query in a personalized way, optimizing user engagement and their individual behavior.

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Supports auto-completion, auto-correction, ordering (relevance, recency or popularity) and much more.

This module integrates on a deeper level than regular recommendation boxes, which requires an upfront alignment between technical teams.