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
14
Topical Recommendations

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

>>
Module
5
Paywall Recommendations

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.

>>
Module
22
Podcast

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

>>
Module
3
Editors' Pick

A module proposing relevant content previously curated by the editorial team. In this case, the module will apply its personalization not to the entire catalog, but select from a shortlist defined by editors.

>>

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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