Outbrain Uses Data To Improve Content Marketing
Outbrain uses Behavioral Targeting to recommend interesting articles, slideshows, blog posts, photos or videos to a reader, "You May Also Like..."
Since founding in 2006, Outbrain has built up to serving 200bn content recommendations on publisher sites every month, most as suggestions at the bottom of online articles. Now it wants use some of that breadth to improve the relevance of those recommendations.
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This is done to Encourage the reader to stay on the site, Increasing Engagement
and, ultimately, generating an Increase in Advertising Revenue.
Outbrain acquires Content Curation platform Scribit