Advertisers optimize reach and enhance targeting precision using our Fusion™️ custom audience builder. The audiences we generate in our federation can be pushed to Meta, Google and many programmatic ad networks for targeting. Performance advertisers report up to 50% improvement in cost-per-action compared to Meta's own lookalike feature.
eCommerce and subscription businesses use Yellowcake™️ for customer data enrichment. The insights they gain help predict churn, create re-engagement programs, personalize price and promotions and develop Next Best Offer (NBO) models.
Financial institutions and product teams use Supernova™️ to research markets and investments. Trained on credit card and financial transaction datasets covering 300M American consumers over the past three years, Supernova™️ produces panels of synthetic users that mimic the behavior of real US consumers without compromising privacy.
E-commerce businesses personalize product listings to specific user needs with LightID™️ and Yellowcake™️. The former helps identify anonymous site visitors, the latter provides synthetic attributes to provide relevant, timely recommendations even absent a purchase history to work with.
Publishers and media networks use Fusion™️ to create lookalike audiences for their advertisers without accessing their first-party data or reliance on third-party cookies. They increase addressability with LightID™️, a cookieless ID resolution model that identifies up to 90% of unlogged visitors. And they rely on Yellowcake™️ to gain additional information about visitors and increase the value of their audiences.
Data and Business Intelligence teams use Yellowcake™️ and Supernova™️ to instrument predictive analytics tools and improve accuracy in forecasting. In retail and hospitality, Supernova™️ supports footfall analysis and location optimization.