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
24
Product Recommendations

A module proposing products from connected eCommerce platforms according to the user’s interests and behavior. Perfect for your website, app and email personalization.

>>
Module
10
You May Have Missed

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

>>
Module
22
Podcast

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

>>
Module
23
Real Estate Recommendations

A module proposing properties from connected real-estate platforms according to the user’s interests and behavior. Perfect for your website, app and email personalization.

>>

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.
High-Impact Personalization

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