Abstract: An influence system for predicting advertisement impact for audience selection. An advertising probe campaign is operated by sending an advertisement to each entity in a treatment group of entities. A control group of entities which excludes the treatment group entities is selected and no campaign advertising content is sent to the treatment group entities. An influence model is created by comparing features of the treatment group converters to features of the control group converters. An individual frequency cap is selected for each entity that is a candidate for the advertising campaign based on a result of applying the influence model to the features of the candidate entity. The entity may be selected to receive an advertisement based on the individual frequency cap. Some embodiments are integrated with a real time bidding (RTB) exchange and a bid response may be configured based on the results of applying the influence model.

Abstract: An influence system for predicting advertisement impact for audience selection. An advertising probe campaign is operated by sending an advertisement to each entity in a treatment group of entities. A control group of entities which excludes the treatment group entities is selected and no campaign advertising content is sent to the treatment group entities. An influence model is created by comparing features of the treatment group converters to features of the control group converters. An individual frequency cap is selected for each entity that is a candidate for the advertising campaign based on a result of applying the influence model to the features of the candidate entity. The entity may be selected to receive an advertisement based on the individual frequency cap. Some embodiments are integrated with a real time bidding (RTB) exchange and a bid response may be configured based on the results of applying the influence model.

Abstract: Models are built based on existing histories in one identifier space to infer features of entities in a different identifier space. A source model is built using features of an archetypical population in a given identifier space and the standard population. A join panel, i.e., a set of entities operating across both the given identifier space and a second disjoined identifier space, is scored using the source model. Based on the scores and features associated with the entities in the join panel within the second identifier space, a target model specific to the second identifier space is built. An audience of entities within the second identifier space can then be scored using the target model to identify entities that are similar to the archetypical population.

Abstract: A reporting system for providing reports on consumption rate changes for media content delivered over a network. A respective media consumption history is received for each of a plurality of entities at a storage. The histories are analyzed to identify selected media content for reporting based on changes in a consumption rate of the media content between at least two time intervals. A report including a reference to the selected media content is provided to a system. In an example, the system is a search engine indexing system and the invention enables the rapid indexing of new content and/or media content experiencing a surge in popularity. The consumption rate changes can be measured for monitored audiences comprising a subset of the audience. The monitored audience can be provided as a list of entities and/or selected based on the media consumption history and/or similarity to a known set of entities.

Abstract: Embodiments are directed to generating and managing an advertising campaign based on a third-party listing. In particular, an identifier associated with a listing posted over a third-party service from a user of the third-party service is received. Listing data for the listing is retrieved from the third-party service using the identifier associated with the listing. Thereafter, an advertising campaign is automatically generated based at least in part on the retrieved listing data. In one aspect, generation of the advertising campaign includes generating an advertising creative using the retrieved listing data. Subsequently, an advertising opportunity is selected according to the generated advertising campaign. Following the selection, an advertisement based on the advertising creative is provided to a content provider associated with the advertising opportunity.

Abstract: A method, system and computer readable storage medium for reporting on a measured change in a consumption rate. Media consumption histories for a plurality of entities are received. A monitored audience is selected from the plurality of entities by selecting entities which have completed an online purchase. A category value for each of two or more categories of media content is determined. One category of media content includes one or more items of media content. One category value represents the measured change in consumption rate for one category of media content for the monitored audience between at least two time intervals. One consumption rate is determined based on the number of times each item of media content in the one category has been delivered over a network during one time interval. A report including a reference to two or more categories and their associated category values is generated.

Abstract: A method, system and computer readable storage medium for reporting on a measured change in a consumption rate. Media consumption histories for a plurality of entities are received. A monitored audience is selected from the plurality of entities by selecting entities which have completed an online purchase. A category value for each of two or more categories of media content is determined. One category of media content includes one or more items of media content. One category value represents the measured change in consumption rate for one category of media content for the monitored audience between at least two time intervals. One consumption rate is determined based on the number of times each item of media content in the one category has been delivered over a network during one time interval. A report including a reference to two or more categories and their associated category values is generated.

Abstract: Embodiments are directed to generating and managing an advertising campaign based on a third-party sales listing. In particular, an identifier associated with a sales listing posted over a third-party service from a user of the third-party service is received. Sales listing data for the sales listing is retrieved from the third-party service using the identifier associated with the sales listing. Thereafter, an advertising campaign is automatically generated based at least in part on the retrieved sales listing data. In one aspect, generation of the advertising campaign includes generating an advertising creative using the retrieved sales listing data. Subsequently, bidding on an advertising opportunity in an auction is performed according to the generated advertising campaign. Responsive to winning the auction, an advertisement based on the advertising creative is provided to a content provider associated with the advertising opportunity.