AdTheorent builds custom machine learning models using historic and real-time data to predict future actions for every campaign.
AdTheorent’s predictive platform learns who will convert and the parameters that drive performance.
Allow machine learning to find consumers with the highest likelihood of converting.
Add a layer of human oversight as a complement to machine learning to analyze key demographic and psychographic model attributes most likely to drive successful campaign outcomes.
Define the audience parameters and let machine learning identify consumers within that audience who are most likely to convert.
Reach consumers who are present at or have been to a location and have the highest probability of making a meaningful interaction.
Eliminate traditionally wasteful geotargeting by identifying consumers who are within a predetermined geofence and only messaging those with the highest probability of taking a desired action.
Identify consumers who have visited predetermined locations and only message those with the highest probability of converting.
Drive new visits to a given location, verified by a third party.
AdTheorent’s Cross-Environment Map is designed to offer variations in cross-device, relationship, and visitation targeting by identifying connections between devices and locations.
Message your audience across multiple devices.
Amplify your campaign message by activating all devices connected to a household.
Target your audience and boost campaign reach to their friends and family.
Machine learning technology is embedded within all creative delivered through the AdTheorent platform.
AdTheorent’s in-house creative technologists support brands from ideation to design, through production and launch.
Predict the most effective creative for each consumer.
Elements within the creative unit are served dynamically based on real-time environmental data.
Deliver personalized experiences with unique creative units designed for each consumer.
HOW IT WORKS:
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