Combining measurements based on beacon data
Usage data representing the access of a set of resources on a network is accessed. The usage data is based at least in part on information received from client systems sent as a result of beacon instructions included with the set of resources. First and second sets of usage data representing access by client systems classified as a first type and a second type, respectively, are determined based on the accessed usage data. Counts of unique visitors accessing the network resources from each of the first and second types of client systems, based on the first and sets of usage data, respectively, are each determined. A total count of unique visitors accessing the network resources from the first and second types of client systems is determined based on data representing the usage overlap of devices of the first type with devices of the second type.
1. A computer-implemented method, comprising:
accessing, with one or more processors, usage data representing the access of a set of resources on a network, the usage data based at least in part on information received from client systems sent as a result of beacon instructions included with the set of resources;
determining, with the one or more processors and based on the accessed usage data, a first set of usage data representing access by client systems classified as a shared use device type;
determining, with the one or more processors, a count of unique visitors accessing the network resources from the shared use device type of client systems by:
determining a subset of shared use data representing access of the network resources by shared use devices sharing a common location;
estimating a number of shared use devices and a number of persons at the common location based on the subset of shared use data; and
determining a count of unique visitors accessing the network resources from shared use devices at the common location based on the estimated number of shared use devices and number of persons at the common location;
determining, with the one or more processors and based on the accessed usage data, a second set of usage data representing access by client systems classified as a second type, the second type being different than the shared use device type;
determining, with the one or more processors, a count of unique visitors accessing the network resources from the second type of client systems based on the second set of usage data; and
determining a total count of unique visitors accessing the network resources from the shared use device and second types of client systems based on data representing a usage overlap of devices of the shared use device type with devices of the second type, the usage overlap indicating instances in which the same users accessed a single resource with a device of the shared use device type and with a device of the second type.
2. The method of claim 1 , wherein the second type of client system is a non-mobile, non-shared use personal device type.
3. The method of claim 2 , wherein the second type of client system is a mobile device type.
4. The method of claim 3 , further comprising:
determining, based on the accessed usage data, a third set of usage data representing access by client systems classified as a third type; and
determining a count of unique visitors accessing the network resources from the third type of client systems based on the third set of usage data,
wherein determining the total count of unique visitors accessing the network resources comprises determining a total count of unique visitors accessing the network resources from the shared use device, second, and third types of client systems based on data representing the usage overlap of devices of the shared use device, second, and third types.
5. The method of claim 1 , further comprising:
accessing sample data representing the access of the network resources, the sample data including information about an overlap in use of client systems classified as the shared use device type and client systems classified as the second type; and
generating an overlap factor based on the accessed sample data, the overlap factor representing the overlap in use of client systems classified as the shared use device type and client systems classified as the second type,
wherein determining the total count comprises determining the total count of unique visitors accessing the network resources based on the generated overlap factor.
6. The method of claim 5 , wherein the sample data represents survey data for users accessing one or more of the network resources, the survey data classifying each user's current client system used to access one or more of the network resources and further classifying one or more other client systems regularly used by the user.
7. The method of claim 5 , wherein the sample data is panel data.
8. A computer readable storage medium storing instructions that, when executed by one or more processing devices, cause the one or more processing devices to perform operations comprising:
accessing usage data representing the access of a set of resources on a network, the usage data based at least in part on information received from client systems sent as a result of beacon instructions included with the set of resources;
determining, based on the accessed usage data, a first set of usage data representing access by client systems classified as a shared use device type;
determining a count of unique visitors accessing the network resources from the shared use device type of client systems by:
determining a subset of shared use data representing access of the network resources by shared use devices sharing a common location;
estimating a number of shared use devices and a number of persons at the common location based on the subset of shared use data; and
determining a count of unique visitors accessing the network resources from shared use devices at the common location based on the estimated number of shared use devices and number of persons at the common location;
determining, based on the accessed usage data, a second set of usage data representing access by client systems classified as a second type, the second type being different than the shared use device type;
determining a count of unique visitors accessing the network resources from the second type of client systems based on the second set of usage data; and
determining a total count of unique visitors accessing the network resources from the shared use device and second types of client systems based on data representing a usage overlap of devices of the shared use device type with devices of the second type, the usage overlap indicating instances in which the same users accessed a single resource with a device of the shared use device type and with a device of the second type.
9. The medium of claim 8 , wherein the second type of client system is a non-mobile, non-shared use personal device type.
10. The medium of claim 9 , wherein the second type of client system is a mobile device type.
11. The medium of claim 10 , wherein the instructions include instructions that, when executed, cause the one or more processing devices to perform the following operations:
determining, based on the accessed usage data, a third set of usage data representing access by client systems classified as a third type; and
determining a count of unique visitors accessing the network resources from the third type of client systems based on the third set of usage data,
wherein determining the total count of unique visitors accessing the network resources comprises determining a total count of unique visitors accessing the network resources from the shared use device, second, and third types of client systems based on data representing the usage overlap of devices of the shared use device, second, and third types.
12. The medium of claim 8 , wherein the instructions include instructions that cause the one or more processing devices to perform the following operations:
accessing sample data representing the access of the network resources, the sample data including information about the overlap in use of client systems classified as the shared use device type and client systems classified as the second type; and
generating an overlap factor based on the accessed sample data, the overlap factor representing the usage overlap of devices of the shared use device type with devices of the second type
wherein determining the total count comprises determining the total count of unique visitors accessing the network resources based on the generated overlap factor.
13. The medium of claim 12 , wherein the sample data represents survey data for users accessing one or more of the network resources, the survey data classifying each user's current client system used to access one or more of the network resources and further classifying one or more other client systems regularly used by the user.
14. The medium of claim 12 , wherein the sample data is panel data.