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Behind the scenes of AI-powered dynamic flooring

Data Collection

With seamless integration, the analytics adapter gathers data, including but not limited to ad unit, device, browser, and viewability.

Model Training

Real-time machine learning models analyze inventory performance and bidding patterns for accurate prediction of floor prices.

Floor Price Activation

Predicted floor prices are applied to and revised at 4-minute intervals for every auction across devices, browsers, geographies, ad units, and more.

Feedback Loop

Constant monitoring of the floor price impact ensures real-time adjustments, striking a balance between revenue uplift and bidding activity.

Continuous Training

Ongoing training and refinement of the model based on the most
recent performance data and bidding patterns within the ecosystem.

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