Proxima

The platform applies machine learning to cross-brand behavioral patterns to predict which prospective customers are likely to become high-value buyers for specific product categories, enabling more precise targeting than platform-native audience tools that rely solely on demographic and interest signals.

The prospecting audiences generated by Proxima reflect purchase intent and behavioral quality signals that identify people who not only have an interest in a category but who have demonstrated willingness to purchase online and make repeat purchases from brands they like.

This behavioral quality dimension improves customer acquisition cost efficiency by prioritizing audiences likely to generate long-term customer value rather than one-time purchasers who inflate acquisition volume metrics without contributing proportional revenue.

Proxima integrates with major digital advertising platforms to activate its audiences within existing campaign structures, allowing brands to incorporate AI-generated prospecting audiences into their paid social and display advertising without changing their campaign management setup.

Analytics track the downstream quality of customers acquired through Proxima audiencesretention rates, repeat purchase behavior, and lifetime valueproviding the evidence base for evaluating acquisition quality beyond initial conversion cost.