Freewheel Media, Inc.

Visible World, Inc.

Claudio Marcus

Seth M Haberman

Robert Alan Bress

Gerrit Niemeijer

James Southern

Methods, systems, and computer-readable media for identifying users, records, and/or devices using anonymous source data records associated with consumer activity are described. In general, the consumer activity may relate to consumer interactions with devices and/or content or data through devices. The source data records may be structured, such as associating the source data records with a sequential timeline. Behavioral markers may be generated by the matching system and associated with the source data records. Each behavioral marker may be analyzed across all of the source data records to determine the effectiveness of the behavioral marker to identify unique source data records. One or more of the behavioral markers may be used to generate a behavioral fingerprint. A behavioral fingerprint may be used to identify unique records, devices, and/or users, including identification based on different sets of source data records.

Systems and methods for anonymous behavioral-based records identification

Systems, methods and computer-readable media for a decentralized application system that enables participating parties to automate the buying and selling of TV media units and/or aggregated TV and premium video audiences is described. The value-based TV/premium video media exchange application system allows the participants to interact with the system directly and/or automate transactions and execution between systems, while ensuring proper governance over each participants own rules and economics associated with the transactions, as well as individual campaign constraints and requirements. The decentralized application system significantly lowers current transaction and execution barriers, timing and costs, while providing a highly accountable and trusted system across all of the exchange participants.

Value-based TV advertising audience exchange

Systems, methods and computer-readable storage media for determining an outcome of a content promotional message are described. For example, a media network may be configured to transmit content to a plurality of content playback devices, such as a television or a computing device. The content may include a content promotion message configured to promote content, such as a television program or a website, available through the media network. The content promotion message and the content may be associated with network identifiers generated by the media network for tracked content. When the content is played by the content playback device, a device identifier may be generated for the content. The device identifiers may be compared with the network identifiers to determine which, if any, content tracked by the media network has been played by the plurality of content playback devices.

Systems, methods and computer-readable media for determining outcomes for program promotions

Systems and methods for the optimized allocation of content on a content distribution system according to a content distribution plan are described. In some embodiments, a management system may be configured to generate an optimized schedule for content distribution, such as an advertising campaign. For a television distribution schedule, an impressions forecast may be generated based on the available inventory and historical audience measurement information, such as television ratings for a television advertising campaign. An optimized schedule may be generated based on the impressions forecast and content may be distributed according to the optimized schedule. Measurement information relating to the distribution according to the optimized schedule may be analyzed and used to generate a re-optimized schedule, for example, that may be used to schedule the advertising campaign on a subsequent day.

Methods, systems, and computer-readable media for dynamic content allocation

Behavioral fingerprinting and user identification from automated content recognition data

Systems and methods for the optimized allocation of content within a universe of inventory are described. For example, a method may include receiving content comprising at least one characteristic and at least one goal. A universe of inventory may be accessed that comprises a plurality of targets which may be assigned into a plurality of segments based on at least one demographic vector. An allocation optimization model may be generated based on the at least one content characteristic, the at least one goal and the plurality of segments. The content may be presented to the targets based on the allocation optimization model. Viewing data may be received that comprises data associated with target consumption of the content and the allocation optimization module may be re-optimized based on the viewing data. Additional factors, such as resource constraints and/or filtering rules, may be used when re-optimizing the allocation optimization module.

Dynamic content allocation and optimization

Systems and methods for determining outcomes for promotional messages presented to viewers using digital on-screen graphics are described. A service provider may present digital on-screen graphics on content presentation devices, which may be detected by an outcome management system. The digital on-screen graphic may be displayed in association with a primary content offering, such as a television program. The outcome management system may monitor content presentation devices, including those exposed to the digital on-screen graphic, to determine the effectiveness of the digital on-screen graphic. For instance, the outcome management system may determine whether content presentation devices exposed to the digital on-screen graphic subsequently accessed a content offering promoted therein.

Methods, systems, and computer-readable media for determining outcomes for promotions

Systems and methods for frequency capping of content are described herein. For example, frequency cap information may be configured to indicate a content exposure limit for a content presentation. The number of exposures to the content presentation at a particular household may be monitored. If the number of exposures is equal to or greater than the content exposure limit, the content may be prevented from being presented to the household. The frequency cap information may be used alone or in combination with other information, such as household demographic, timeframe, and day-part information.

Growing community of inventors

Andover, NH, United States of America

Claudio Marcus