Abstract: In some embodiments, an apparatus includes a weight module, a performance module and an allocator module. The weight module calculates a weight for each segment from a set of segments of potential advertisement placements matching a criterion. The weight for a segment is based at least partially on (1) a budget score for an advertisement campaign and (2) a number of potential placements for the segment. The performance module calculates a performance score for the advertisement campaign at each segment from the set of segments. The performance score of the segment is based on a success metric for an advertisement at the segment and a number of impressions for the segment. The allocator module presents the advertisement at a placement associated with the segment if the weight for the segment is greater than a first threshold and the performance score for the segment is greater than a second threshold.

Abstract: An apparatus includes a collection agent, an aggregation module, an analysis module, and a presentation module. The collection agent is operatively coupled to a data storage and is configured to (1) incrementally collect data associated with a presentation of media on a display of an electronic device, and (2) send a set of signals to store the incrementally collected data in the data storage. The aggregation module is configured to receive at least a portion of the incrementally collected data to define an aggregated data set. The analysis module is configured to analyze the aggregated data set to determine an effectiveness score associated with the presentation of the media. The presentation module is configured to (1) receive a signal associated with the effectiveness score, and (2) send a signal to an electronic device such that information associated with the effectiveness score is displayed on a display of the electronic device.

Abstract: In some embodiments, an apparatus includes a weight module, a performance module and an allocator module. The weight module calculates a weight for each segment from a set of segments of potential advertisement placements matching a criterion. The weight for a segment is based at least partially on (1) a budget score for an advertisement campaign and (2) a number of potential placements for the segment. The performance module calculates a performance score for the advertisement campaign at each segment from the set of segments. The performance score of the segment is based on a success metric for an advertisement at the segment and a number of impressions for the segment. The allocator module presents the advertisement at a placement associated with the segment if the weight for the segment is greater than a first threshold and the performance score for the segment is greater than a second threshold.

Abstract: In some embodiments, an apparatus includes a weight module, a performance module and an allocator module. The weight module calculates a weight for each segment from a set of segments of potential advertisement placements matching a criterion. The weight for a segment is based at least partially on (1) a budget score for an advertisement campaign and (2) a number of potential placements for the segment. The performance module calculates a performance score for the advertisement campaign at each segment from the set of segments. The performance score of the segment is based on a success metric for an advertisement at the segment and a number of impressions for the segment. The allocator module presents the advertisement at a placement associated with the segment if the weight for the segment is greater than a first threshold and the performance score for the segment is greater than a second threshold.

Abstract: A method includes receiving a plurality of a plurality of candidate segmentation points associated with a portion of rich media content, selecting a subset of the candidate segmentation points that meet one or more segmentation constraints, where the selected subset of segmentation points define a plurality of temporal segments of the rich media content, and providing the selected subset of segmentation points for association of a different one of a plurality of advertisements with each of the temporal segments.

Abstract: In one embodiment, a method for optimizing advertisement performance is provided. In one embodiment, advertisements may be clustered together into different buckets of advertisements. Rich media content may also be clustered together. A performance model may then be generated that is based on previous performance of ads with content. The performance data may be used to predict which ads may provide the best performance when shown with a target piece of content that is going to be displayed. Particular embodiments use performance data for advertisements in an ad bucket to determine which ad bucket out of multiple ad buckets may provide the best performance for a content bucket that includes the target content. The ad bucket includes a plurality of ads and the method determines which ad should be displayed with the target content. In one embodiment, performance data is used to determine which ad to display.