Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage by a database proprietor are disclosed. An example method includes obtaining a count of media impressions occurring on a first type of computing device, a first portion of the media impressions corresponding to persons for whom demographic information is recognizable by a database proprietor and a second portion of the media impressions corresponding to persons for whom demographic information is unavailable to the database proprietor; and determining the demographic information for the second portion of the media impressions based on a first probability that media corresponding to the media impressions is accessed on the first type of computing device and based on a second probability that media is accessed on a second type of device.

Abstract: Methods and apparatus to predict demographics are disclosed.

Abstract: An example method includes determining a number of impressions that occurred on mobile devices and that are attributable to a first demographic group; determining whether a size of a first audience that corresponds to the first demographic group satisfies a threshold, where the first audience includes panelists in an audience measurement panel; determining whether a size of a second audience satisfies the threshold when the size of the first audience does not satisfy the threshold, where the second audience includes panelists in the audience measurement panel that correspond to a second demographic group and the first audience is a subset of the second audience; and calculating impressions attributable to a market segment and to the second demographic group when the second size of the second audience satisfies the threshold based on a portion of the second audience that belongs to the market segment.

Abstract: Methods and apparatus to predict demographics are disclosed.

Abstract: An example metrics manager determines a first audience reach for a television audience, the television audience representative of audience members exposed to a media campaign via television media delivery, determine a second audience reach for a digital audience, the digital audience representative of audience members exposed to the media campaign via digital media delivery. An example deduplicator obtains an overlap multiplier based on the media campaign, the overlap multiplier is a ratio of (1) a product of a panel duplication reach and a did-not-view reach and (2) a product of a television panel reach and a digital panel reach, and determine a duplication factor for the media campaign based on the first audience reach, the second audience reach and the overlap multiplier. An example audience manager determines a total audience for the media campaign based on the first audience reach, the second audience reach and the duplication factor.

Abstract: Methods and apparatus to correct errors in measuring audiences of over the top media are disclosed. An example apparatus includes a demographic corrector to identify first impression data received from a computer, the first impression data including demographic data of users, the computer producing a misattribution error in the first impression data, and the misattribution error corresponding to a difference between reported demographics in the first impression data and actual demographics corresponding to the first impression data. The example demographic corrector further is to generate a model based on a difference between the first impression data and second data and generate corrected demographic data by applying the model to the first impression data.

Abstract: An example apparatus includes at least one processor and first memory comprising computer readable instructions that, when executed, cause the at least one processor to log an impression in second memory at an audience measurement entity based on a communication received from a computing device. The example computer readable instructions, when executed, cause the at least one processor to determine that a primary user of the computing device is not the user operating the computing device when a first probability score for the primary user does not satisfy a threshold, and in response to determining that the primary user is not the user operating the computing device, identify one of a plurality of secondary users as the user operating the computing device. The example computer readable instructions, when executed, cause the at least one processor to store demographic information of the user operating the computing device.

Abstract: Methods, apparatus, systems and articles of manufacture to estimate deduplicated total audiences in cross-platform media campaigns are disclosed. An example method includes determining a first audience reach for a television audience, the television audience representative of audience members exposed to the media campaign via television media delivery, and determining a second audience reach for a digital audience, the digital audience representative of audience members exposed to the media campaign via digital media delivery. The example method also includes an overlap multiplier based on the media campaign, the overlap multiplier an odds ratio, and determining a duplication factor for the media campaign based on the first audience reach, the second audience reach and the overlap multiplier. The example method also includes determining a total audience for the media campaign based on the first audience reach, the second audience reach and the duplication factor.

Abstract: Methods and apparatus to determine impression corresponding to market segments are disclosed. An example method includes determining a number of impressions that occurred on mobile devices and that are attributable to a first demographic group, where the number of impressions are based on attributions of the impressions to the first demographic group. The example method also includes determining whether a size of a first audience that corresponds to the first demographic group satisfies a threshold, where the first audience includes panelists in an audience measurement panel. The example method further includes determining whether a size of a second audience satisfies the threshold when the size of the first audience does not satisfy the threshold, where the second audience includes panelists in the audience measurement panel that correspond to a second demographic group and the first audience is a subset of the second audience.

Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage by a database proprietor are disclosed. An example method includes obtaining a count of media impressions occurring on a first type of computing device, a first portion of the media impressions corresponding to persons for whom demographic information is recognizable by a database proprietor and a second portion of the media impressions corresponding to persons for whom demographic information is unavailable to the database proprietor; and determining the demographic information for the second portion of the media impressions based on a first probability that media corresponding to the media impressions is accessed on the first type of computing device and based on a second probability that media is accessed on a second type of device.

Abstract: Disclosed example methods include generating electronic mobile measurement data based on network communications received from client devices, the network communications corresponding to media accessed at the client devices, selecting attributes associated with the electronic mobile measurement data to include in a model, generating the model based on the attributes and a first portion of the electronic mobile measurement data, determining a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding users of the client devices, and in response to the percentage satisfying a threshold, identifying a user operating a client device as at least one of a primary user or one of a plurality of secondary users based on the model, and associating demographic information of the identified user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: Disclosed example methods include generating electronic mobile measurement data based on network communications received from client devices, the network communications corresponding to media accessed at the client devices, selecting attributes associated with the electronic mobile measurement data to include in a model, generating the model based on the attributes and a first portion of the electronic mobile measurement data, determining a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding users of the client devices, and in response to the percentage satisfying a threshold, identifying a user operating a client device as at least one of a primary user or one of a plurality of secondary users based on the model, and associating demographic information of the identified user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: Methods and apparatus to correct errors in measuring audiences of over the top media are disclosed. An example apparatus includes a demographic corrector to identify first impression data received from a computer, the first impression data including demographic data of users, the computer producing a misattribution error in the first impression data, and the misattribution error corresponding to a difference between reported demographics in the first impression data and actual demographics corresponding to the first impression data. The example demographic corrector further is to generate a model based on a difference between the first impression data and second data and generate corrected demographic data by applying the model to the first impression data.

Abstract: Methods and apparatus to correct errors in measuring audiences of over-the-top media are disclosed. In some examples, the methods and apparatus identify a first set of data from a first data source, the first set of data different from a second set of data from a second data source. In some examples, the methods and apparatus generate a third set of data based on the second set of data from the second data source. In some examples, the methods and apparatus generate a model based on a difference between the first set of data and the third set of data. In some examples, the methods and apparatus apply the model to the first set of data. In some examples, the methods and apparatus assign viewership to an impression associated with the first set of data by imputing viewership associated with the second set of data to the first set of data.

Abstract: Methods and apparatus to generating electronic mobile measurement census data are disclosed. Example disclosed methods involve, when a panelist associated with a client device is determined to be an audience member of the media on the client device, associating demographic information of the panelist with a logged impression associated with the media. The disclosed methods also include when the panelist associated with the client device is determined not to be the audience member of the media at the client device, determining probability scores for respective household members residing in a household with the panelist, the probability scores indicative of probabilities that corresponding ones of the household members are the audience member of the media at the client device, and associating demographic information of one of the household members that has a highest probability score with the logged impression associated with the media.

Abstract: Methods and apparatus for over the top (OTT) media measurement are disclosed herein. Example methods include comparing, with an on-site meter in communication with an OTT service provider server, household data maintained by the OTT service provider server with anonymized panelist data provided by an audience measurement entity to identify a first person predicted to be included in a first household according to the anonymized panelist data but not included in the first household according to the household data, accessing media impressions collected by the OTT service provider server and corresponding to media accessed with a first OTT device associated with the first household, and crediting, with the on-site meter, usage of the first OTT device associated with access of the media to the first person based on the media impressions and demographic data obtained from the anonymized panelist data and attributed to the first person.

Abstract: Methods, apparatus, systems and articles of manufacture to estimate deduplicated total audiences in cross-platform media campaigns are disclosed. An example method includes determining a first audience reach for a television audience, the television audience representative of audience members exposed to the media campaign via television media delivery, and determining a second audience reach for a digital audience, the digital audience representative of audience members exposed to the media campaign via digital media delivery. The example method also includes an overlap multiplier based on the media campaign, the overlap multiplier an odds ratio, and determining a duplication factor for the media campaign based on the first audience reach, the second audience reach and the overlap multiplier. The example method also includes determining a total audience for the media campaign based on the first audience reach, the second audience reach and the duplication factor.

Abstract: Methods and apparatus for over the top (OTT) media measurement are disclosed herein. Example methods include comparing, with an on-site meter in communication with an OTT service provider server, household data maintained by the OTT service provider server with anonymized panelist data provided by an audience measurement entity to identify a first person predicted to be included in a first household according to the anonymized panelist data but not included in the first household according to the household data, accessing media impressions collected by the OTT service provider server and corresponding to media accessed with a first OTT device associated with the first household, and crediting, with the on-site meter, usage of the first OTT device associated with access of the media to the first person based on the media impressions and demographic data obtained from the anonymized panelist data and attributed to the first person.

Abstract: Methods and apparatus to correct errors in measuring audiences of over-the-top media are disclosed. In some examples, the methods and apparatus identify a first set of data from a first data source, the first set of data different from a second set of data from a second data source. In some examples, the methods and apparatus generate a third set of data based on the second set of data from the second data source. In some examples, the methods and apparatus generate a model based on a difference between the first set of data and the third set of data. In some examples, the methods and apparatus apply the model to the first set of data. In some examples, the methods and apparatus assign viewership to an impression associated with the first set of data by imputing viewership associated with the second set of data to the first set of data.

Abstract: Examples to determine media impressions are disclosed. An example method includes determining an exposure of first media, wherein the exposure occurs after a cookie identifier is received at a computing device, wherein the cookie identifier is received from a database proprietor, determining a first panelist identifier associated with the exposure based on the cookie identifier, determining a second panelist identifier associated with the exposure based on a determination of a user identity by a panelist meter associated with the computing device, determining an adjustment factor by comparing the first panelist identifier and the second panelist identifier, determining a number of impressions of second media from data logged by the database proprietor, the data logged in response to requests transmitted to the database proprietor in response to clients accessing the second media, and applying the adjustment factor to the number of impressions to determine an adjusted number of impressions.