Similar Articles

Article page
Increase Reader Engagement
Increased loyalty

Increase engagement by recommending similar articles

  • Show content matching the tags of the current article being read


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 while keeping your users engaged. You want a wide variety of content on your article pages, because that's where many users start their sessions.


Use the Froomle platform to recommend recent/popular/relevant articles from the same tag, category or section as the current article being read.


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


  • Choose a recommendation type: recent, popular or personalized
  • Choose on which fields to match the current article: tag, category, section or other
  • Froomle will return the selected articles for each specific situation

Perfect for

  • Only showing articles with matching content is not sufficient to keep your users engaged. Combine this module with our 'Read further' module or Conversion 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 dynamic module high on your article pages where it's visible for your users.

  • Make sure the box is visible, and readers can easily view the headline and article abstract.
  • Combine this module with Read further to also show engaging content on different topics on your article pages.
  • Less is more. Show 3 articles rather than 10 to avoid choice overwhelm.

Mix and match with

Recommended for You

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

Reader Propensity to Subscribe

Learn which non-paying readers you should be focusing on right now.

After Video

Recommend videos most relevant to continue watching based on current video and user history.

Similar Articles

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


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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