Abstract: Methods and apparatus to associate audience members with over-the-top device media impressions. An example audience measurement apparatus includes a reporting message receiver to receive a first reporting message from a client device coupled to a residential gateway having an internet protocol (IP) address. An AME ID determiner is to assign an audience measurement entity (AME) identifier to the IP address provided by the received first reporting message. A redirect instructor is to send a redirect instruction to the client device to cause the client device to send a second reporting message to a database proprietor, the redirect instruction to include the AME identifier and the IP address. A DP message reporting receiver is to receive, in response to the sent redirect instruction, a third reporting message from the database proprietor that includes a database proprietor (DP) identifier.

Abstract: Methods and apparatus to associate audience members with over-the-top device media impressions. An example audience measurement apparatus includes a reporting message receiver to receive a first reporting message from a client device coupled to a residential gateway having an internet protocol (IP) address. An AME ID determiner is to assign an audience measurement entity (AME) identifier to the IP address provided by the received first reporting message. A redirect instructor is to send a redirect instruction to the client device to cause the client device to send a second reporting message to a database proprietor, the redirect instruction to include the AME identifier and the IP address. A DP message reporting receiver is to receive, in response to the sent redirect instruction, a third reporting message from the database proprietor that includes a database proprietor (DP) identifier.

Abstract: Methods and apparatus to associate audience members with over-the-top device media impressions. An example audience measurement apparatus includes a reporting message receiver to receive a first reporting message from a client device coupled to a residential gateway having an internet protocol (IP) address. An AME ID determiner is to assign an audience measurement entity (AME) identifier to the IP address provided by the received first reporting message. A redirect instructor is to send a redirect instruction to the client device to cause the client device to send a second reporting message to a database proprietor, the redirect instruction to include the AME identifier and the IP address. A DP message reporting receiver is to receive, in response to the sent redirect instruction, a third reporting message from the database proprietor that includes a database proprietor (DP) identifier.

Abstract: Methods and apparatus to associate audience members with over-the-top device media impressions. An example audience measurement apparatus includes a reporting message receiver to receive a first reporting message from a client device coupled to a residential gateway having an internet protocol (IP) address. An AME ID determiner is to assign an audience measurement entity (AME) identifier to the IP address provided by the received first reporting message. A redirect instructor is to send a redirect instruction to the client device to cause the client device to send a second reporting message to a database proprietor, the redirect instruction to include the AME identifier and the IP address. A DP message reporting receiver is to receive, in response to the sent redirect instruction, a third reporting message from the database proprietor that includes a database proprietor (DP) identifier.

Abstract: Methods, apparatus, systems, and computer-readable storage media are disclosed for audience measurement analysis. An example method includes normalizing a data set associated with access to a first episode of first media during a first time period and access to a second episode of the first media during a second time period into a normalized data set, combining the first normalized data set into first and second equity scores for the first media respectively corresponding to the time periods, determining first and second ratings for television broadcast of the first and second episodes of the first media during the time periods, producing an engagement model that defines a relationship between the equity scores and the ratings, and predicting a future rating of a television broadcast of a third episode of the first media for a third time period if advertising associated with the first media is adjusted.

Abstract: Methods and apparatus to associate audience members with over-the-top device media impressions. An example audience measurement apparatus includes a reporting message receiver to receive a first reporting message from a client device coupled to a residential gateway having an internet protocol (IP) address. An AME ID determiner is to assign an audience measurement entity (AME) identifier to the IP address provided by the received first reporting message. A redirect instructor is to send a redirect instruction to the client device to cause the client device to send a second reporting message to a database proprietor, the redirect instruction to include the AME identifier and the IP address. A DP message reporting receiver is to receive, in response to the sent redirect instruction, a third reporting message from the database proprietor that includes a database proprietor (DP) identifier.

Abstract: Methods and apparatus to associate audience members with over-the-top device media impressions. An example audience measurement apparatus includes an impression monitoring system to monitor and log media impressions based on impression requests received via network communications from over the top devices. A linkage database system is to implement the impression monitoring system. A processor in circuit with the impression monitoring system is to: generate Internet protocol (IP) address-to-cookie mappings; associate household identifiers of households with ones of the IP address-to-cookie mappings; and associate ones of the household identifiers to the logged media impressions based on IP addresses associated with the media impressions and based on the household identifiers associated with the ones of the IP address-to-cookie mappings.

Abstract: Methods and apparatus to associate audience members with over-the-top device media impressions. An example audience measurement apparatus includes an impression monitoring system to monitor and log media impressions based on impression requests received via network communications from over the top devices. A linkage database system is to implement the impression monitoring system. A processor in circuit with the impression monitoring system is to: generate Internet protocol (IP) address-to-cookie mappings; associate household identifiers of households with ones of the IP address-to-cookie mappings; and associate ones of the household identifiers to the logged media impressions based on IP addresses associated with the media impressions and based on the household identifiers associated with the ones of the IP address-to-cookie mappings.

Abstract: Example methods, apparatus, systems, and computer-readable storage media for audience measurement analysis. An example method includes normalizing first online streaming data, first social media interaction data, and first television broadcast data associated with access to a first episode of first media during a first time period and access to a second episode of the first media during a second time period into first normalized online streaming data, first normalized social media interaction data and first normalized television broadcast data for the first media. The example method includes combining the first normalized online streaming data, the first normalized social media interaction data and the first normalized television broadcast data into first and second equity scores for the first media respectively corresponding to the first and the second time periods.

Abstract: Example methods, apparatus, systems, and computer-readable storage media for audience measurement analysis. An example method includes determining an engagement model defining a relationship between media performance data, media activity data, and a rating score. The media performance data is associated with a first time period and the media activity data associated with a second time period where the second time period is before the first time period. The example method includes applying first media performance data and first media activity data to the engagement model to determine coefficients for parameters of the engagement model. The parameters of the engagement model are associated with the media performance data and the media activity data. The example method includes applying second media performance data and second media activity data associated with media to the engagement model using the coefficients to determine a rating score for the media.