Adap.tv, Inc.

Yahoo! Inc.

Millennial Media Inc.

Amir Cory

Shubo Liu

Katherine Krzoska

Garrett James Badeau

Garett Badeau

Shane Wiley

Bryan Schroeder

Systems and methods are disclosed for optimizing distribution of resources to data elements, comprising receiving a selection of a first objective and a second objective, the first objective and second objective comprising goals associated with distribution of a plurality of data elements; receiving an indication that the first objective has a higher priority than the second objective; receiving a first goal metric associated with the first objective and a second goal metric associated with the second objective; determining a first forecasted metric based on the first goal metric associated with the first objective; determining a second forecasted metric based on the second goal metric associated with the second objective; and allocating resources for the distribution of a plurality of data elements based on the first goal metric, the second goal metric, the first forecasted metric, the second forecasted metric, and the indication that the first objective has a higher priority than the second objective.

Systems and methods for priority-based optimization of data element utilization

Systems and methods are disclosed for optimizing data element usage according to user-defined objectives, comprising receiving a plurality of user-defined objectives associated with a group of data elements; receiving one or more constraints associated with the group of data elements, wherein at least one of the constraints comprises resources apportionable to each data element in the group of data elements; apportioning at least a portion of the resources to each data element in the group of data elements in a manner that meets the one or more constraints; receiving metrics associated with the performance of the group of data elements in meeting the plurality of user-defined objectives; determining an effectiveness of each data element in the group of data elements for meeting the plurality of user-defined objectives; and automatically revising the at least a portion of resources associated with each data element in the group of data elements.

Systems and methods of dynamic optimization of data element utilization according to objectives

Systems and methods are disclosed for optimizing distribution of resources to data elements, comprising receiving one or more user-defined objectives associated with a group of data elements, wherein at least one of the user-defined objectives includes an objective related to a selected target group; receiving one or more constraints associated with the group of data elements, wherein at least one of the constraints comprises resources apportionable to each data element in the group of data elements; developing a first prediction of a performance of the group of data elements during a time period based on the one or more user-defined objectives and the one or more constraints; and apportioning at least a portion of the resources to each data element in the group of data elements based on the first prediction once the time period has started.

Systems and methods for optimization of data element utilization using demographic data

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

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.

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Palo Alto, CA, United States of America

Amir Cory