Abstract:
Systems, methods and computer-readable storage media for optimizing transactions in a household addressable media network are described. Transaction information associated with past transactions involving the sale of inventory for the media network, such as the sale of an audience and/or segments of the audience. Potential transaction information may be configured to indicate projected conditions for a future sale media network inventory for certain media content of a potential purchaser, such as a media content provider. An example media content provider is an advertiser seeking to purchase an audience or segments thereof for broadcast of an advertisement. A model for selling the inventory may be configured based on the past information. A simulated selling of the inventory and/or segments thereof may be performed to generate potential sales information that may be used to optimize future inventory sales. An illustrative simulation model may include an agent-based computational economics (ACE) model.
Abstract:
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.
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:
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, methods and computer-readable storage media for optimizing transactions in a household addressable media network are described. Transaction information associated with past transactions involving the sale of inventory for the media network, such as the sale of an audience and/or segments of the audience. Potential transaction information may be configured to indicate projected conditions for a future sale media network inventory for certain media content of a potential purchaser, such as a media content provider. An example media content provider is an advertiser seeking to purchase an audience or segments thereof for broadcast of an advertisement. A model for selling the inventory may be configured based on the past information. A simulated selling of the inventory and/or segments thereof may be performed to generate potential sales information that may be used to optimize future inventory sales. An illustrative simulation model may include an agent-based computational economics (ACE) model.