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.
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