AdTheorent Launches Industry's First Privacy-Forward Solution for Audiences

AdTheorent Holding Company, Inc, a programmatic digital advertising leader using advanced machine learning technology and privacy-forward solutions to deliver real-world value for advertisers and marketers, announced the launch of its AdTheorent Predictive Audience Builder, a transformational suite of platform tools designed to enable users to create and activate predictive models which score audience quality. AdTheorent Predictive Audience Builder leverages customizable and primary-sourced seed data sets to mimic the audience profile of an advertiser's desired target. In a major departure from industry-standard audience segments, that seed data set is not used for direct targeting. Instead AdTheorent's machine-learning reads signals from those data sets to build a predictive model which scores programmatic inventory on its likelihood to reach an individual who meets the desired profile. This privacy-forward predictive scoring delivers superior audience quality and KPI performance without the use of personally identifiable information, cookies, or IDs of any kind. Also Read: Color Star Enters Into Strategic Cooperation Agreement With Detok, a Social Sharing Platform for Short-Form Videos AdTheorent is proud to include automotive brand Southeast Toyota Distributors, LLC and 22Squared as a launch client. AdTheorent Predictive Audience Builder's use of primary-sourced, highly-customized audience profile parameters is boundlessly flexible and customizable to each advertiser's marketing strategy.

• Examples include completely customizable vertical-based audiences such as: auto intender in-market for a specific make or model; frequent fast-food diner with high probability of switching to a new chain, or frequent family meal or online orderer; big box and family shopper with high household income; or high spender on luxury travel in market for or researching a trip.

SOURCE: PR Newswire