Content synchronization with over-the-air radio transmissions captures
user engagement and
telemetry data.
User engagement data creates a closed-loop feedback with over-the-
air content and is tracked.
User engagement and
telemetry data feeds
machine learning algorithms for radio
station advertising effectiveness and
programming refinement. User
telemetry data identifies the listener radio receiving device.
Machine learning applied to over-the-air advertising content categorizes ads for correlation with user behavior profile and ad effectiveness. Prediction models predict listener
demographics and
user engagement with advertising content in anonymous and registered mode. Over-the-air advertisements are synchronized with ad content provided to broadcast listeners on an electronic
user device. Ad content may be listed, searched, and acted on by telephone, email, website click-through, including special ads and coupons targeted to users based on telemetry and
user profile and behavior.