Adap.tv, Inc.

Millennial Media Inc.

Garrett James Badeau

Brendan Kitts

Amir Cory

Liang Wei

Yongbo Zeng

Andrew George Potter

Shubo Liu

Katherine Krzoska

Michael Krishnan

Ishadulta Yadav

Ruofeng Chen

Ethan James Thornburg

Sergey Tolkachov

Davood Shamsi

Sergei Tolkachov

The present disclosure describes a system that attempts to reconcile diverse goals and re-cast the goals into something that is quantifiable and optimizable. One way to reconcile diverse goals is by converting these 'constraints'—with the huge problems of feasibility—into errors that can be minimized. This disclosure also presents solutions for rate constraints which previously have not been dealt with. The resulting system enables advertisers to dynamically adjust their campaign based on the needs of the moment. Such a system can have advantages in terms of controllability, smoothness, as well as avoiding hard stop conditions that plague the constraint-based approach. In order to achieve this result, solutions are presented for problems of pacing, viewability prediction, and most particularly, error minimization.

Ad serving with multiple goals using constraint error minimization

Systems and methods are disclosed for optimizing distribution of resources to data elements, comprising receiving a designation of one or more data elements for distribution; receiving a designation of a plurality of electronic event types detectable over a network, the plurality of electronic event types being associated with receipt or electronic display of at least one data element of the one or more data elements, to be tracked; forecasting a return on investment, associated with distribution of the one or more data elements, based on a forecast of occurrences of the plurality of electronic event types; and optimizing distribution of resources to the one or more data elements based on the forecasted return on investment.

Systems and methods for optimization of data element utilization according to multi-touch attribution

Systems and methods are disclosed for demographic prediction based on aggregated training data. The predictions are based on auditing aggregated data associated with identified properties of web requests. The audited information is based on a batch of prior web requests that have the same property and have been audited by a measurement company.

Demographic prediction using aggregated labeled data

The present disclosure describes a system that attempts to reconcile diverse goals and re-cast the goals into something that is quantifiable and optimizable. One way to reconcile diverse goals is by converting these 'constraints'&#x2014;with the huge problems of feasibility&#x2014;into errors that can be minimized. This disclosure also presents solutions for rate constraints which previously have not been dealt with. The resulting system enables advertisers to dynamically adjust their campaign based on the needs of the moment. Such a system can have advantages in terms of controllability, smoothness, as well as avoiding hard stop conditions that plague the constraint-based approach. In order to achieve this result, solutions are presented for problems of pacing, viewability prediction, and most particularly, error minimization.

In various embodiments, methods and systems for optimizing viewability rates by utilizing pre-bid client-side detection in autonomous bid-decisioning for advertising campaigns is provided. When provided with a unitary demand-side platform and sell-side platform system, advertisers may employ aspects of the present disclosure to pose a significant advantage in optimizing viewability rates for exchange sites purchased on the open digital advertising market. An advertiser, by way of the unitary demand-side and sell-side platform, can determine that runtime pre-bid viewability data corresponding to an exchange site is available. Based on the runtime pre-bid viewability data and historical performance data corresponding to the exchange site, an optimized calculation can be made to infer a substantially high likelihood of viewability if the exchange site is ultimately purchased by the advertiser. This optimized autonomous bid-decisioning can provide a significant advantage to advertisers in meeting their advertising campaign goals.

Systems and methods of dynamic optimization of viewability rate utilizing pre-bid client-side detection

Growing community of inventors

Redwood City, CA, United States of America

Garrett James Badeau