The Audience model uses demographic regression and persona clustering to understand who is most likely to convert. It identifies which census-based features are predictive of performance and groups users into distinct audience segments.

The Demographics tab highlights which attributes drive conversions, along with scored ZIP codes and lookalike expansion targets. The Personas tab segments audiences into clusters with shared characteristics and geographic distribution.

Model outputs include scored ZIPs and lookalike ZIPs, which can be directly and easily applied to campaigns to inform real-time bidding and audience targeting strategies.