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
12
Similar Articles

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

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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
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
21
Opinion

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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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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