At the heart of every ReTargeter campaign is a powerful, programmable bidder which enables custom, expressive bid valuation models to be built on a nearly limitless combination of impression-level features.

Design Your Own Algorithm

By default, automated click prediction models powered by machine learning are applied to every campaign run on our platform.


Bring Your Own Insights

The flexibility afforded by ReTargeter’s Programmable Bidder offers clients a frictionless point of integration to incorporate their own insights and goals. Advertisers may elect to modify the output of existing valuation models to account for observed differences in performance across constructed or offline features sets such as customer LTV or custom segment membership.


Data Science as a Service

Not every advertiser is the same. Media buying can often become a time consuming and delicate balance of managing against multiple primary and secondary performance goals. When optimizing to multiple goals, a one size fits all algorithm for campaign optimization is inadequate. ReTargeter offers custom bid-valuation models built on machine learning but uniquely tuned by a team of data scientists, optimization is tailored to the goals and user-level data for each advertiser.

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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 Haig Newton