Custom Audiences

Our audiences are modeled based on raw data signals from our SDK and direct publisher integrations. We apply machine learning techniques to model demographics data such as age and gender. We model the interest of users based on apps on device and interaction with ads. We also model interest by intersecting location data with known POIs. Deterministic audiences rely on device metadata such as make and model of device, carrier of sim and cell, and some are based on users of a specific app (i.e. users who have Netflix installed). Location-based audiences are based on signals such as GPS, Wifi & Cell towers. In addition, using sophisticated enticements processes we enrich precise location data indirectly from IP data. We apply diverse statistical measures to clean and filter the data. We can create a custom audience based on your target users' profile, and deliver it to the DMP of your choice. Our audiences are available for activation on Google, LiveRamp, Zeotap, Lotame, Adobe, The Trade Desk, Adsquare, and more.