Leverage offline and online data to create custom people-based audiences to improve targeting and increase audience scale.

Look-Alike Modeling

Reach those in market who look most like your best performing retargeting audiences. Machine learning looks at the users which are performing a specific conversion event online and uses that data to create a custom people-based audience with the same attributes.

How It Works

We aggregate and anonymize proprietary real-time interest data. We look at what prospects – share, what they click on, what they search for and what they engage with.
We then take a seed file of your best customers and match the audience to our vast data set to find similar users.

Grow Market Share and Scale

Our people-based solutions allow you to target the same people across every digital channel and device. You can determine your own audience size, based on scale or budget, in order to target those most-likely to convert.

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Case Study: U of F MBA Program

University of Florida MBA Logo | ReTargeter

The University of Florida’s Hough School of Business has used ReTargeter to keep their messages in front of prospective students. In two months, they were able to serve 3.3 million impressions, receiving a 0.31% click-through rate. Nathan Lowery of Lipof, the ad agency that handles the University of Florida’s marketing, has found retargeting to be […]

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ReTargeter Volunteers at Alameda Point Collaborative

By Rita Killilea