Abstract: Systems and methods for cross-platform information are described herein. For example, a plurality of outputs of an advertisement may be tracked via a plurality of platforms having different platform types. Impression information may be generated for the outputs of the advertisement via the plurality of platforms. The impression information may comprise dates and times of the outputs and an identifier associated with the advertisement.

Abstract: Systems and methods for cross-platform exposure limits of content are described herein. For example, an indication of an exposure limit associated with an advertisement may be determined. The advertisement may be output via each of a plurality of different platform types. The quantity of outputs of the advertisement across the plurality of different platform types may be limited based on the exposure limit.

Abstract: Systems and methods for tracking impressions across a plurality of platforms are described. For example, a method may include receiving information indicating a plurality of outputs of content via a plurality of platforms. The plurality of platforms may comprise different platform types. Impression information for the content may be stored across the plurality of platforms. Based on the impression information, one or more additional outputs of the content, via the plurality of platforms, may be caused.

Abstract: Systems and methods for the optimized allocation of content according to a schedule are described. In some embodiments, a system may be configured to modify a schedule file to replace broadcast content. The system may receive the schedule file indicating an identifier associated with content to be output during a slot associated with a time window in a broadcast event. The system may modify the schedule file to replace the identifier with a replacement identifier associated with replacement content. The system may transmit the broadcast event as a linear feed comprising the replacement content.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.