We draw on two sources of contextual data: IAS and TripleLift’s recent acquisition, 1plusX. By the middle of Q4 we will have the ability to enrich our packages with this contextual data.
Our advanced predictive modeling leverages consented user-data to fill attribute gaps (age, gender, etc), and create validated audience segments, eliminating the need for unreliable third-party inputs.