Outbrain Partners with Dataveyes to Reveal Affinity Index

Insights are organized into 11 main categories—Auto, Travel, Business & Finance, News, Entertainment, Health, Home & Lifestyle, Sports, Electronics & Tech, Travel and Food—which are then further broken down into 88 subcategories. Each category corresponds to an affinity index, which measures the relationship between the theme of an Outbrain recommendation and the theme accessed by the user on the page of a media site.

Keith Pepper, Country Manager, North America at Outbrain, commented: "With Dataveyes, we wanted to offer advertisers insight into the 'Discovery moments' of their target audiences through a visualization that makes accessible and digestible some of the vast unique data we hold."

"Our ambition is to invent new visual languages to translate data into information, and ultimately to serve a better understanding of our everyday world," noted Caroline Goulard, co-founder of Dataveyes. "This is what the unique dataset from Outbrain allowed us to do: to tell a new story about the interests of internet users. "

What the data tells us

With 250 billion recommendations served each month to more than one billion users worldwide, Outbrain has a unique dataset capable of revealing the true interests of Internet users and to reveal "Discovery Moments"* from across its proprietary network.

Take the Auto sector, for example. In 2016, Outbrain delivered 47 billion related recommendations to US internet users. In January 2016, when the weather turned chilly and roads became icy, people reading about Motorsports and Accidents were the most likely to also select Auto-related stories—a full 3.1 billion of them. That makes a lot of sense as there is a clear, logical link between those topics.

In August, however, those who were reading about Software and Boating were the most likely to also read Auto stories (3.7 billion). That connection may seem less obvious but is equally strong.

By understanding how different audiences respond during various times of the year, automotive advertisers will be able tailor their content development strategies accordingly.

Here are some examples of other connections that are strong although less obvious:

• People reading about Small Business and Hardware were the most likely to click on Discovery campaigns about Health (October 2016).
• Those reading about Auto and Banking were the most likely to also click on Discovery campaigns about Entertainment (February 2016).
• Those reading about Boating and Natural Disasters were the most likely to also click on Discovery campaigns about Electronics and Tech (August 2016).
• Those reading about Auto and Crime were the most likely to also click on Discovery campaigns about Sports (January 2016).

For more insights, please go to Affinity Index by Outbrain.

SOURCE Outbrain

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