Abstract: An example apparatus includes at least one memory, instructions, and at least one processor to execute the instructions to generate electronic mobile measurement data based on network communications received from first client devices, select attributes associated with the electronic mobile measurement data to include in a model, generate the model based on the attributes and a first portion of the electronic mobile measurement data, determine a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding first users of the first client devices, and when the percentage satisfies a threshold determine: (a) when a second user operating a second client device is a primary user, and (b) when the user operating the second client device is a third user, and associate demographic information of the second user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: An example apparatus includes processor circuitry to access demographics from a database proprietor corresponding to impression requests from computing devices indicative of media impressions, determine a first media impression count corresponding to a sum of first media impressions that occurred on first computing devices satisfying a device type criterion and that are attributable to a demographic group corresponding to a) the demographics from the database proprietor, b) panel-based demographics corresponding to a market segment, determine a second media impression count corresponding to second media impressions that occurred on second computing devices not satisfying the device type criterion and that are attributable to the demographic group corresponding to a) the demographics from the database proprietor, b) the panel-based demographics corresponding to the market segment, and determine a total media impression count by adding the first media impression count to the second media impression count that a

Abstract: Disclosed examples obtain an overlap multiplier as a ratio of (1) a first product of a panel duplication reach and a did-not-view reach and (2) a second product of a television panel reach and a digital panel reach, the panel duplication reach based on a duplicated audience size and a panelist population, the did-not-view reach based on a television audience size, a digital audience size, the duplicated audience size, and the panelist population, the television panel reach corresponding to the television audience size, the digital panel reach corresponding to the digital audience size; and determine a total audience for a media item based on a television audience reach, a digital audience reach, and a duplication factor, the duplication factor based on the television audience reach, the digital audience reach, and the overlap multiplier, the television audience reach corresponding to television media, the digital audience reach corresponding to digital media.

Abstract: An example system comprising at least one memory, programmable circuitry, and instructions to cause the programmable circuitry to obtain first time information corresponding to one or more first times that a panelist accessed first media via a television, obtain second time information corresponding to one or more second times that a household accessed second media via an over-the-top device, the second time information matching the first time information and associated with corrected demographic information of members of the household, determine that a first genre of the first media matches a second genre of the second media, determine that a member of the household accessed the second media via the over-the-top device based on historical media access events of the panelist, and attribute the access of the second media to the member of the household to create a corrected demographic impression record.

Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage are disclosed.

Abstract: An example apparatus includes at least one memory, instructions, and at least one processor to execute the instructions to generate electronic mobile measurement data based on network communications received from first client devices, select attributes associated with the electronic mobile measurement data to include in a model, generate the model based on the attributes and a first portion of the electronic mobile measurement data, determine a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding first users of the first client devices, and when the percentage satisfies a threshold determine: (a) when a second user operating a second client device is a primary user, and (b) when the user operating the second client device is a third user, and associate demographic information of the second user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: An example to predict demographics for impressions includes a prediction manager to: determine that first demographic data corresponding to a first database proprietor subscriber does not match second demographic data corresponding to a media delivery device, both the first and second demographic data corresponding to an impression; obtain third demographic data corresponding to an Internet protocol address, the third demographic data obtained from a second database proprietor; and generate matched demographic data based on comparing the third demographic data to the first demographic data; and a modeler to generate a prediction model based on the matched demographic data, the prediction model to predict fourth demographic data for the impression.

Abstract: Disclosed examples determine a duplicated audience size representative of panelists exposed to television media and digital media; determine a panel duplication reach based on the duplicated audience size and a panelist population; determine a did-not-view reach based on a television audience size, a digital audience size, the duplicated audience size, and the panelist population; obtain an overlap multiplier as a ratio of (1) a product of the panel duplication reach and the did-not-view reach and (2) a product of a television panel reach and a digital panel reach; determine a duplication factor for a media item based on a television audience reach, a digital audience reach, and the overlap multiplier; and determine a total audience for the media item based on the television audience reach, the digital audience reach, and the duplication factor.

Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage are disclosed.

Abstract: Disclosed examples determine a duplicated audience size representative of panelists exposed to television media and digital media; determine a panel duplication reach based on the duplicated audience size and a panelist population; determine a did-not-view reach based on a television audience size, a digital audience size, the duplicated audience size, and the panelist population; obtain an overlap multiplier as a ratio of (1) a product of the panel duplication reach and the did-not-view reach and (2) a product of a television panel reach and a digital panel reach; determine a duplication factor for a media item based on a television audience reach, a digital audience reach, and the overlap multiplier; and determine a total audience for the media item based on the television audience reach, the digital audience reach, and the duplication factor.

Abstract: An example to predict demographics for impressions includes a prediction manager to: determine that first demographic data corresponding to a first database proprietor subscriber does not match second demographic data corresponding to a media delivery device, both the first and second demographic data corresponding to an impression; obtain third demographic data corresponding to an Internet protocol address, the third demographic data obtained from a second database proprietor; and generate matched demographic data based on comparing the third demographic data to the first demographic data; and a modeler to generate a prediction model based on the matched demographic data, the prediction model to predict fourth demographic data for the impression.

Abstract: An example to predict demographics for impressions includes a prediction manager to: determine that first demographic data corresponding to a first database proprietor subscriber does not match second demographic data corresponding to a media delivery device, both the first and second demographic data corresponding to an impression; obtain third demographic data corresponding to an Internet protocol address, the third demographic data obtained from a second database proprietor; and generate matched demographic data based on comparing the third demographic data to the first demographic data; and a modeler to generate a prediction model based on the matched demographic data, the prediction model to predict fourth demographic data for the impression.

Abstract: An example apparatus includes processor circuitry to access demographics from a database proprietor corresponding to impression requests from computing devices indicative of media impressions, determine a first media impression count corresponding to a sum of first media impressions that occurred on first computing devices satisfying a device type criterion and that are attributable to a demographic group corresponding to a) the demographics from the database proprietor, b) panel-based demographics corresponding to a market segment, determine a second media impression count corresponding to second media impressions that occurred on second computing devices not satisfying the device type criterion and that are attributable to the demographic group corresponding to a) the demographics from the database proprietor, b) the panel-based demographics corresponding to the market segment, and determine a total media impression count by adding the first media impression count to the second media impression count that a

Abstract: An example apparatus includes at least one memory, instructions, and at least one processor to execute the instructions to generate electronic mobile measurement data based on network communications received from first client devices, select attributes associated with the electronic mobile measurement data to include in a model, generate the model based on the attributes and a first portion of the electronic mobile measurement data, determine a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding first users of the first client devices, and when the percentage satisfies a threshold determine: (a) when a second user operating a second client device is a primary user, and (b) when the user operating the second client device is a third user, and associate demographic information of the second user with the electronic mobile measurement data to reduce a misattribution error.

Abstract: Disclosed examples determine a duplicated audience size representative of panelists exposed to television media and digital media; determine a panel duplication reach based on the duplicated audience size and a panelist population; determine a did-not-view reach based on a television audience size, a digital audience size, the duplicated audience size, and the panelist population; obtain an overlap multiplier as a ratio of (1) a product of the panel duplication reach and the did-not-view reach and (2) a product of a television panel reach and a digital panel reach; determine a duplication factor for a media item based on a television audience reach, a digital audience reach, and the overlap multiplier; and determine a total audience for the media item based on the television audience reach, the digital audience reach, and the duplication factor.

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: 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: 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 compensate impression data for misattribution and non-coverage are disclosed.

Abstract: An example to predict demographics for impressions includes a prediction manager to: determine that first demographic data corresponding to a first database proprietor subscriber does not match second demographic data corresponding to a media delivery device, both the first and second demographic data corresponding to an impression; obtain third demographic data corresponding to an Internet protocol address, the third demographic data obtained from a second database proprietor; and generate matched demographic data based on comparing the third demographic data to the first demographic data; and a modeler to generate a prediction model based on the matched demographic data, the prediction model to predict fourth demographic data for the impression.