Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.

Provided is an apparatus and a method for calculating a viewer rating and, more specifically, to an apparatus and a method for calculating a viewer rating, which process channel change data of a set-top box and can survey a viewer rating per household in real time. To this end, a viewer rating calculation apparatus, which is a viewer rating calculation apparatus of a video management server connected to set-top boxes installed in respective households through a network, includes: a receiving unit for receiving channel change data from the set-top boxes; a viewing history data processing unit for generating viewing history data for each set-top box by processing the channel change data, and processing the viewing history data for each set-top box so as to generate viewing history data for each channel; and a viewer rating calculation unit for determining the number of all set-top boxes by calculating the number of set-top boxes as one when two or more set-top boxes belong to one household, and then calculating viewer ratings in a specific time slot by using the viewing history data for each channel and the number of all set-top boxes.

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 server stores an association between a unique identifier and a first media work in a database, and stores an association between a media type indicator and the unique identifier. The media type indicator has a first value when the first media work is a first type of media work, and a second value when the first media work is a second type of media work. A message including information identifying a broadcast media work is received from a broadcast station. Based on information included in the message, the server determines whether the broadcast media work is an instance of the first media work. If so, the server determines that the broadcast media work is associated with the unique identifier, and further determines, based on the media type indicator, what type of media work the broadcast media work is. The unique identifier is stored in a data structure based on the type of media work.

A server stores an association between a unique identifier and a first media work in a database, and stores an association between a media type indicator and the unique identifier. The media type indicator has a first value when the first media work is a first type of media work, and a second value when the first media work is a second type of media work. A message including information identifying a broadcast media work is received from a broadcast station. Based on information included in the message, the server determines whether the broadcast media work is an instance of the first media work. If so, the server determines that the broadcast media work is associated with the unique identifier, and further determines, based on the media type indicator, what type of media work the broadcast media work is. The unique identifier is stored in a data structure based on the type of media work.

Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.

Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.

Methods, apparatus, systems and articles of manufacture to determine audio source impact on an audience of media are disclosed. A disclosed example method includes dividing monitored audio into successive audio segments including a first audio segment and a second audio segment. The example method also includes generating a first confidence value from the first audio segment and a second confidence value from the second audio segment, the first confidence value associated with a presence of a first audio source in the first audio segment, the second confidence value associated with a presence of the first audio source in the second audio segment. The example method includes identifying whether the monitored audio is associated with a presentation of first media based on the first confidence value and the second confidence value.

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.