Closing the programmatic gap between advertisers and publishers, is about tackling the lack of transparency in the traffic evaluation process and the according disparity of assessment of quality.

Rivr, acts as a universal translator and classifies audiences in real time at the intersection of the bid stream between the demand and supply side. Hence, rather than adding more mismatched data partners, giving each party different feedback and results, Rivr provides both sides a unified and authenticated view on the user when trading programmatically.

According to the demand side’s willingness to pay for a specific audience, publishers can adapt to a dynamic pricing strategy that represents the real value of an audience versus the actual demand. As a result, advertisers will be able to receive the specific audiences they want and publishers can optimize pricing and fill rates accordingly.

Gavin Dunaway
Editorial Director – AdMonsters

By tapping directly into the bidstream, Rivr’s AI engine sources factual audience information on the most granular level. In real time, Rivr understands how the demand side is classifying the user whilst identifying user characteristics and actual behavior on the supply side via the user’s activities within and across apps and domains. Supplementary to this end-to-end process, the user’s ad interaction is added to authenticate actual interest and intent. With a single integration, SSPs and publishers are able to authenticate user classifications across the value chain and suggest optimal floor prices for each demand partner.