Verizon Media Inc.

Aol Advertising Inc.

Yih-Shin Huang

Niklas Karlsson

Robert Luenberger

Jianlong Zhang

Li Si Yang

Jiaxing Guo

Scott Strickland

Seyed Mohammad Ziaemohseni

Hans W Uhlig

Embodiments of the present invention provide systems, methods, and computer storage media directed at cost estimation. In embodiments, a method may include receiving an observed event volume and an observed revenue in the current logical interval for a campaign. The method may also include tracking state information of various revenue state variables and events per revenue state variables associated with the previous logical interval. In addition, the method may include determining a cost estimate for a present logical interval of the campaign based on the state information, the observed event volume, the observed revenue, and an events per revenue forgetting factor. Other embodiments may be described and/or claimed herein.

Adaptive cost estimation

System and methods are provided for analyzing and displaying digital content and advertisements over electronic networks. In accordance with one implementation, a method is provided that calculates, using at least one processor, an engagement metric (including, for example, click probability) for a specific combination of time, promotion slot, and user segment, for an individual promotion of a set of promotions, and calculates a value of a landing page associated with the promotion. The method then can multiply the engagement metric and the value to determine the valuation of the promotion. The method can operate recursively by using previous calculations in later runs of the same method.

Systems and methods for displaying digital content and advertisements over electronic networks

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Cupertino, CA, United States of America

Yih-Shin Huang