Criteo S.a.

Eustache Diemert

Pierre Nicolas

Clément Calauzènes

Charles-Henri Henault

Patrick De Pas

Alexandre Gilotte

Arnaud Chataignier

Thomas Ricatte

Alexis Audran-Reiss

Christophe Renaudin

Mathieu Henniart

Alban De La Breteche

Arnaud Blanchard

Mathieu Lindemann

Methods and systems are described herein for predictive adjusted bidding for electronic advertisements. A bid determination computing device receives, from an ad exchange computing device, a bid request for an available underlying impression opportunity. The bid determination device determines an opportunity value estimate for the impression opportunity based upon the bid request, and determines a probability of a submission of one or more other bid requests for the same impression opportunity by the same ad exchange device or by one or more other ad exchange devices. When the determined probability indicates a submission of one or more other bid requests for the same impression opportunity, the bid determination device adjusts the opportunity value estimate for the impression opportunity based upon the determined probability and transmits the opportunity value estimate to the ad exchange device in response to the bid request.

Predictive adjusted bidding for electronic advertisements

Methods and systems are described herein for incremental bidding for electronic advertisements. A computing device generates, for a user during a first time period, first randomized bids for available impression opportunities, the first randomized bids based upon an estimated value and a first random factor and using a context of bid requests. The computing device transmits the first randomized bids to a remote device. The computing device determines whether interaction events associated with impression opportunities occurred. The computing device estimates second randomized bids based upon an estimated value and a second random factor and using the context. The computing device estimates a relative incrementality of a bidding policy based upon the second randomized bids over a bidding policy based upon the first randomized bids, and optimizes the bidding policy based upon second randomized bids. The computing device changes a production bidding policy based upon the optimized policy.

Generation of incremental bidding and recommendations for electronic advertisements

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Claix, France

Eustache Diemert