PERSONALIZED
E-COMMERCE
MODULE

PERSONALIZED
News
MODULE

Recommended for You

Homepage
Email
Push
Article page
Increase Reader Engagement
Increased loyalty

Increase engagement by recommending well performing personalized content

  • Show content optimized for keeping the reader engaged

Challenge

Advertisement revenues are decreasing. Free news is everywhere, even if of poor quality. Your newsroom writes great articles but can't keep up with distributing the content to the right audience in a personalized manner.

Solution

Use state of the art machine learning techniques to show users the articles they are most likely to continue reading. This module shows unique recommendations for each user and learns what to recommend based on it's page and position.

Benefits

  • Increase CTR with up to 30% compared to popularity recommendations
  • Increase session length & user loyalty

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
60
Recommended for You

Recommend articles most relevant for a user at any time based on her browsing history.

>>
Module
59
Similar Articles

Recommend articles on the same topic as the current article being read.

>>
Module
1
News Subscription Machine

Increase revenue from subscriptions and turn your newsroom into a subscription machine.

>>
Module
7
Featured Topics

Show each reader personalized articles for the topic(s) pre-selected by your 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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