Systems and methods described herein allow for audio ad valuation based on respective historic presentation performance on client computing devices. The client computing devices can monitor presentation of audio ads to determine whether an audio ad was played and for how long. The client computing devices can report historic presentation performance values of ads to a data processing system. The data processing system can use the received audio ad presentation performance values to create and continually update a presentation probability predictive model. The presentation probability predictive model can be configured to predict probabilities of audio ads provided to client devices being played thereon. The data processing system can use the presentation probability predictive model to select ads for transmission to client computing devices.
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Lanza, John D., "Bidding Per Viewable Impression", Technical Disclosure Commons, (July 03, 2017)