Abstract: An example involves accessing a unique audience size of database proprietor subscribers exposed to media, the unique audience size of the database proprietor subscribers generated by a process of a server of a database proprietor based on a first quantity of impressions, the first quantity of impressions corresponding to first client devices that include database proprietor identifiers and exclusive of a second quantity of impressions corresponding to second client devices that do not include the database proprietor identifiers; and applying a missing-audience factor to the unique audience size of the database proprietor subscribers exposed to the media to produce a coverage-corrected unique audience size that corrects the unique audience size generated by the server of the database proprietor by using the coverage-corrected unique audience size to represent the first and second client devices in place of the unique audience size that corresponds to the first client devices exclusive of the second client devi

Abstract: An example involves accessing a unique audience size of database proprietor subscribers exposed to media, the unique audience size of the database proprietor subscribers generated by a process of a server of a database proprietor based on a first quantity of impressions, the first quantity of impressions corresponding to first client devices that include database proprietor identifiers and exclusive of a second quantity of impressions corresponding to second client devices that do not include the database proprietor identifiers; and applying a missing-audience factor to the unique audience size of the database proprietor subscribers exposed to the media to produce a coverage-corrected unique audience size that corrects the unique audience size generated by the server of the database proprietor by using the coverage-corrected unique audience size to represent the first and second client devices in place of the unique audience size that corresponds to the first client devices exclusive of the second client devi

Abstract: An example involves determining a missing-audience factor based on first impressions corresponding to first client devices that do not have database proprietor (DP) identifiers for use by a DP to identify subscribers registered with the DP, and based on second impressions corresponding to second client devices that do have the DP identifiers used by the DP to identify subscribers registered with the DP. The first impressions represent accesses to media via the first client devices. The second impressions represent access to the media via the second client devices. The example involves determining a coverage-corrected unique audience (CCUA) size based on the missing-audience factor and a UA size of DP subscribers exposed to the media. The UA size is determined based on impressions logged by the DP. The CCUA size corresponds to impressions logged by the DP and not logged by the DP.

Abstract: An example involves determining a missing-audience factor based on first impressions corresponding to first client devices that do not have database proprietor (DP) identifiers for use by a DP to identify subscribers registered with the DP, and based on second impressions corresponding to second client devices that do have the DP identifiers used by the DP to identify subscribers registered with the DP. The first impressions represent accesses to media via the first client devices. The second impressions represent access to the media via the second client devices. The example involves determining a coverage-corrected unique audience (CCUA) size based on the missing-audience factor and a UA size of DP subscribers exposed to the media. The UA size is determined based on impressions logged by the DP. The CCUA size corresponds to impressions logged by the DP and not logged by the DP.

Abstract: An example involves determining a missing-audience factor based on first impressions corresponding to first client devices that do not have database proprietor (DP) identifiers for use by a DP to identify subscribers registered with the DP, and based on second impressions corresponding to second client devices that do have the DP identifiers used by the DP to identify subscribers registered with the DP. The first impressions represent accesses to media via the first client devices. The second impressions represent access to the media via the second client devices. The example involves determining a coverage-corrected unique audience (CCUA) size based on the missing-audience factor and a UA size of DP subscribers exposed to the media. The UA size is determined based on impressions logged by the DP. The CCUA size corresponds to impressions logged by the DP and not logged by the DP.

Abstract: Methods and apparatus to de-duplicate impression information are disclosed. An example method to de-duplicate media impression information includes determining an overlap between cookies of a first database proprietor and cookies of a second database proprietor on client computers; determining duplicate impression information based on first impression information associated with the first database proprietor, second impression information associated with the second database proprietor, and the overlap; and determining unduplicated impression information based on the duplicate impression information, the first impression information, and the second impression information.

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.

Abstract: Methods and apparatus are disclosed to identify session users with cookie information. An example method includes identifying a most recently used cookie based on a comparison of timestamps associated with a plurality of cookies, comparing an identifier of the most recently used cookie to a cookie table, the cookie table associating cookies with the plurality of different users, and when the identifier of the most recently used cookie is associated with one of the plurality of different users, associating subsequent usage activity of the computing device with the one of the plurality of different users.

Abstract: Methods and apparatus are disclosed to identify session users with cookie information. An example method includes identifying a most recently used cookie based on a comparison of timestamps associated with a plurality of cookies, comparing an identifier of the most recently used cookie to a cookie table, the cookie table associating cookies with the plurality of different users, and when the identifier of the most recently used cookie is associated with one of the plurality of different users, associating subsequent usage activity of the computing device with the one of the plurality of different users.

Abstract: Methods and apparatus are disclosed to identify session users with cookie information. An example method includes locating, with a processor, a first storage location associated with a first browser and a second storage location associated with a second browser, identifying, with the processor, a first cookie in the first storage location having a most recent timestamp, when the first storage location includes the first cookie of a first type, establishing a first user associated with the first cookie as a current user of the computing device.

Abstract: Examples to determine media impressions are disclosed. An example method includes detecting a cookie identifier established by a database proprietor at a computing device, determining an impression of media, wherein the impression occurs after the cookie identifier is established, determining a first panelist identifier associated with the impression based on the cookie identifier, determining a second panelist identifier associated with the impression based on determination of a user identity by a panelist meter associated with the computing device, and storing an adjustment factor determined by comparing the first panelist identifier and the second panelist identifier.

Abstract: An example involves determining a missing-audience factor based on first impressions corresponding to first client devices that do not have database proprietor (DP) identifiers for use by a DP to identify subscribers registered with the DP, and based on second impressions corresponding to second client devices that do have the DP identifiers used by the DP to identify subscribers registered with the DP. The first impressions represent accesses to media via the first client devices. The second impressions represent access to the media via the second client devices. The example involves determining a coverage-corrected unique audience (CCUA) size based on the missing-audience factor and a UA size of DP subscribers exposed to the media. The UA size is determined based on impressions logged by the DP. The CCUA size corresponds to impressions logged by the DP and not logged by the DP.

Abstract: Methods and apparatus to de-duplicate impression information are disclosed. An example method to de-duplicate media impression information includes determining an overlap between cookies of a first database proprietor and cookies of a second database proprietor on client computers; determining duplicate impression information based on first impression information associated with the first database proprietor, second impression information associated with the second database proprietor, and the overlap; and determining unduplicated impression information based on the duplicate impression information, the first impression information, and the second impression information.

Abstract: Methods and apparatus are disclosed to identify session users with cookie information. An example method includes locating, with a processor, a first storage location associated with a first browser and a second storage location associated with a second browser, identifying, with the processor, a first cookie in the first storage location having a most recent timestamp, when the first storage location includes the first cookie of a first type, establishing a first user associated with the first cookie as a current user of the computing device.

Abstract: Examples to determine media impressions are disclosed. An example method includes detecting a cookie identifier established by a database proprietor at a computing device, determining an impression of media, wherein the impression occurs after the cookie identifier is established, determining a first panelist identifier associated with the impression based on the cookie identifier, determining a second panelist identifier associated with the impression based on determination of a user identity by a panelist meter associated with the computing device, and storing an adjustment factor determined by comparing the first panelist identifier and the second panelist identifier.

Abstract: Methods and apparatus are disclosed to identify session users with cookie information. An example method includes identifying activity associated with a first cookie having a first type, in response to identifying the first, parsing the first cookie to identify a first panelist, when the first cookie includes an identifier associated with a first panelist, associating current usage activity of the computing device with the first panelist, and when the first cookie includes an identifier unassociated with the first panelist, associating current usage activity of the computing device with a guest.

Abstract: A disclosed example method to determine audience duplication in cross-media campaigns involves determining a first duplicated audience reach for a demographic group between a total television audience and an internet publisher audience. The total television audience is representative of audience members across a plurality of television networks. The internet publisher audience is representative of audience members of one of a plurality of internet publishers. The example method involves determining a second duplicated audience reach between the total television audience and the internet publisher audience for a media campaign based on the first duplicated audience reach. The example method involves determining a third duplicated audience reach between a television network audience and the internet publisher audience for the media campaign based on the second duplicated audience reach.

Abstract: Methods and apparatus are disclosed to identify session users with cookie information. An example method includes identifying activity associated with a first cookie having a first type, in response to identifying the first, parsing the first cookie to identify a first panelist, when the first cookie includes an identifier associated with a first panelist, associating current usage activity of the computing device with the first panelist, and when the first cookie includes an identifier unassociated with the first panelist, associating current usage activity of the computing device with a guest.

Abstract: A disclosed example method to determine audience duplication in cross-media campaigns involves determining a first duplicated audience reach between a total television audience and an internet publisher audience for a demographic group. The total television audience is representative of audience members across a plurality of television networks, and the internet publisher audience is representative of audience members across one of a plurality of internet publishers. The example method involves determining a second duplicated audience reach between the total television audience and the internet publisher audience for a media campaign based on the first duplicated audience reach. The example method involves determining a third duplicated audience reach between a television network audience and the internet publisher audience for the media campaign based on the second duplicated audience reach.

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.