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
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.

>>
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.

>>
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
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.

>>

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

Lift your sales. Ace your
personalization results. Start now.

start 40-day trial