PERSONALIZED
E-COMMERCE
MODULE

PERSONALIZED
News
MODULE

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Email
Website
App
Engagement
Loyalty

A module containing the most relevant articles for a user based on what we know about him/her.

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Challenge

Solution

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Benefits

Functionalities

Perfect for

  • To achieve additional benefits, use our Conversion oriented modules.
  • Large Newsrooms having a combination of free and paid content that want to increase revenue from subscriptions.

How it works?

Best practices show to get a higher impact on engagement, you need to place this personalized module on high traffic locations like high up on your homepage. Here are some tips:

  • Integrate the same module in daily emails targeting unsubscribed users to reap more benefits;
  • Make sure the box is visible, and readers can easily view the headline and article abstract.
  • Less is more. Show 3 articles rather than 10 to avoid choice overwhelm.

Mix and match with

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.

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Module
12
Similar Articles

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.

>>
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
14
Topical Recommendations

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

>>

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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