PERSONALIZED
E-COMMERCE
MODULE

PERSONALIZED
News
MODULE

Similar Articles

Website
App
Email
Engagement
Loyalty

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.

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.

>>
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.

>>
Module
9
Exit Popup Recommendations

A module presenting a user that’s about to exit your website with engaging content to reduce bounce rate.

>>
Module
13
After Video

A module containing personalized & related video recommendations at the end of a video. Can also be used for implementing ‘auto-play’ functionality.

>>

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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