An example apparatus to monitor media that is presented via a mobile device includes: an application monitor to determine when media presentation software is being executed by the mobile device; and a metering information collector to collect at least one of a signature or a code of the media presented by the media presentation software based on the media presentation software being executed by the mobile device.

Apparatuses, methods, and storage media for providing recommendations for an advertisement campaign are described. In one instance, an apparatus for providing recommendations for an advertisement campaign may include a campaign outcome index provision engine communicatively coupled to one or more processors, to generate a campaign outcome index (COI) associated with the advertisement campaign, based at least in part on a ratio between an actual outcome key performance indicator (KPI) associated with the advertisement campaign; and a baseline outcome KPI that reflects an expected average performance of the advertisement campaign; and a recommendation engine, communicatively coupled to the one or more processors, to provide recommendations to adjust a use of advertisements in the advertisement campaign, during the advertisement campaign, based at least in part on the generated COI. Other embodiments may be described and claimed.

Apparatuses, methods, and storage media for providing recommendations for an advertisement campaign are described. In one instance, an apparatus for providing recommendations for an advertisement campaign may include a campaign outcome index provision engine communicatively coupled to one or more processors, to generate a campaign outcome index (COI) associated with the advertisement campaign, based at least in part on a ratio between an actual outcome key performance indicator (KPI) associated with the advertisement campaign; and a baseline outcome KPI that reflects an expected average performance of the advertisement campaign; and a recommendation engine, communicatively coupled to the one or more processors, to provide recommendations to adjust a use of advertisements in the advertisement campaign, during the advertisement campaign, based at least in part on the generated COI. Other embodiments may be described and claimed.

A computer-implemented method of using video program viewer interaction data that has been loaded to a media measurement database as input to a measurement engine which then calculates Linear, DVR, and VOD asset viewing activity at three levels: (a) Video Program, (b) Video Program Airing, (c) Video Program Airing Segment, where each level provides summary metrics for groupings of Demographic, Geographic, and/or Device Characteristic, and also second-by-second viewing metrics, including counting advertising impressions, within the Demographic, Geographic, Device groupings. System also accounts for reduced value of ad viewing when viewer is using trick plays or when viewer delays viewing recorded content. Together these metrics provide detailed information on customer viewing behavior which can be used to drive business decisions for service providers, advertisers and content producers. Additionally, a viewing histogram analysis is produced.

A computer-implemented method of using video program viewer interaction data that has been loaded to a media measurement database as input to a measurement engine which then calculates Linear, DVR, and VOD asset viewing activity at three levels: (a) Video Program, (b) Video Program Airing, (c) Video Program Airing Segment, where each level provides summary metrics for groupings of Demographic, Geographic, and/or Device Characteristic, and also second-by-second viewing metrics, including counting advertising impressions, within the Demographic, Geographic, Device groupings. System also accounts for reduced value of ad viewing when viewer is using trick plays or when viewer delays viewing recorded content. Together these metrics provide detailed information on customer viewing behavior which can be used to drive business decisions for service providers, advertisers and content producers. Additionally, a viewing histogram analysis is produced.

An example apparatus to monitor media that is presented via a mobile device includes: an application monitor to determine when media presentation software is being executed by the mobile device; and a metering information collector to collect at least one of a signature or a code of the media presented by the media presentation software based on the media presentation software being executed by the mobile device.

An example apparatus to monitor media that is presented via a mobile device includes: an application monitor to determine when media presentation software is being executed by the mobile device; and a metering information collector to collect at least one of a signature or a code of the media presented by the media presentation software based on the media presentation software being executed by the mobile device.

A television program ratings method and system includes transferring information associated with households from a cable provider to a ratings provider such that the ratings provider has access to information associated with sampled households and lacks access to information associated with non-sampled households. To this end, identity information and usage information associated with the households are respectively anonymized and encrypted. Knowledge of the identities of the sampled households enables the anonymized identity information and the encrypted usage information for the sampled households to be respectively de-anonymized and decrypted. The ratings provider knows which households are sampled households. As such, the ratings provider de-anonymizes and decrypts the information associated with the sampled households and then uses the de-anonymized and decrypted information to determine television program ratings. The cable provider anonymizes and encrypts the information for all households as the cable provider does not know which households are sampled households.

A television program ratings method and system includes transferring information associated with households from a cable provider to a ratings provider such that the ratings provider has access to information associated with sampled households and lacks access to information associated with non-sampled households. To this end, identity information and usage information associated with the households are respectively anonymized and encrypted. Knowledge of the identities of the sampled households enables the anonymized identity information and the encrypted usage information for the sampled households to be respectively de-anonymized and decrypted. The ratings provider knows which households are sampled households. As such, the ratings provider de-anonymizes and decrypts the information associated with the sampled households and then uses the de-anonymized and decrypted information to determine television program ratings. The cable provider anonymizes and encrypts the information for all households as the cable provider does not know which households are sampled households.

Methods and apparatus to calibrate media ratings based on return path data are disclosed. An apparatus includes a processor and memory including instructions that, when executed, cause the processor to: determine an initial rating for the media provided in a first geographic area based on return path data (RPD) tuning information obtained from RPD devices in subscriber households in the first geographic area; determine a first panelist rating for the media provided in a second geographic area based on first panel tuning information obtained from first metering devices in a first subset of panelist households in the second geographic area; determine a nonsubscriber calibration factor based on the first panelist rating; and determine a final rating for the media in the first geographic area by modifying the initial rating based on the nonsubscriber calibration factor.