OutBrain

OutBrain: Content Recommendation Platform

OutBrain is a content recommendation platform that provides related article and video recommendations to help publishers increase user engagement. It uses machine learning algorithms to analyze site content and user behavior to provide relevant recommendations.

What is OutBrain?

OutBrain is a content recommendation platform used by publishers to increase user engagement and article views. It works by analyzing a website's content and user behavior data to provide a personalized feed of recommended articles and videos at the bottom of pages.

When a user reaches the end of an article, OutBrain will display a list of 3-4 recommendations for other articles or videos on that site or other sites in its network that the user may find interesting. The recommendations aim to keep users engaged and clicking through to more content.

OutBrain uses advanced machine learning algorithms to determine which recommendations may be relevant to each user based on the current article content, past user reading history, overall site analytics, and data from sites with similar audiences and content. Publishers only need to add a few lines of OutBrain code to start displaying recommendations.

For users, OutBrain provides more relevant and interesting content tailored to their personal interests. For publishers, OutBrain helps increase page views, engagement, and ad revenue. Major publishers like CNN, Fox News, Time, and People use Outbrain to support their content recommendation and audience extension goals.

OutBrain Features

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