PERSONALIZED
E-COMMERCE
MODULE

PERSONALIZED
News
MODULE

Recent From (Topic)

Website
App
Email
Engagement
Loyalty

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

Challenge

Solution

Benefits

Functionalities

Perfect for

How it works?

Mix and match with

Module
15
Topic Ranking

A module ordering different (sub)sections (e.g. News, Politics, Sports, …) based on the user’s browsing history. Topic Ranking can be combined with Topical Recommendations to populate each topic lane.

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Module
2
Continue Reading

A module showing the articles that the user is most likely to click on given the current article being read. Perfect for your news website, app and email personalization.

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Module
11
Recent From (Topic)

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

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Module
6
Freemium Conversion

A module containing free content for users with low propensity to subscribe, and paid (well-converting) content for users with high propensity to subscribe in order to optimize conversions through the recommendations.

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Get started

To get started you can use the data that you already have, such as:

  • User identifiers and online events, such as page views, impressions, clicks, and subscriptions. The more readers for which identifiers (log in or cookie) are known, the better.
  • Your article feed including labels on paying articles and as much metadata as possible to enable us to identify the features that impact conversion, such as title, abstract, text, length, and similar.
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