Adobe, Inc.

Venkata Karthik Penikalapati

Viswanathan Swaminathan

Gang Wu

Alok Kothari

Michael Schiff

Chih Hsin Hsueh

Seth Olson

Daniel Pang

The present disclosure relates to systems, non-transitory computer-readable media, and methods to generate sketches for clearing-bid values and bid-success rates based on multi-dimensional targeting criteria for a digital-content campaign and dynamically determine predicted values for the digital-content campaign based on the sketches. To illustrate, the disclosed systems can use a running-average-tuple-sketch to generate tuple sketches of historical clearing-bid values and tuple sketches of historical bid-success-rates from historical auction data. Based on the tuple sketches, the disclosed systems can determine one or more of a predicted cost per quantity of impressions, a predicted number of impressions, or a predicted expenditure for the digital-content campaign&#x2014;according to user-input targeting criteria and expenditure constraints.

Utilizing a sketching generator to adaptively generate content-campaign predictions for multi-dimensional or high-dimensional targeting criteria

Growing community of inventors

Fremont, CA, United States of America

Venkata Karthik Penikalapati