PERSONALIZED
E-COMMERCE
MODULE

PERSONALIZED
News
MODULE

Most Frequently Read

Email
Website
App
Engagement

A module showing the most popular articles at that time.

Challenge

Solution

Benefits

Functionalities

Perfect for

How it works?

Mix and match with

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
10
Most Frequently Read

A module showing the most popular articles at that time. Perfect module for email personalization, your website or app.

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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
4
From Your Region

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

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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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