Combining measurements based on beacon data

1. A computer-implemented method, comprising:

accessing usage data representing the access of a network entity by a plurality of client devices each associated with one or more Internet Protocol (IP) addresses of a plurality of IP addresses;

determining, based on the usage data, a set of static IP addresses of the plurality of IP addresses;

determining a first count of static IP addresses of the set of static IP addresses that are all associated with mobile traffic or that are all associated with non-mobile traffic, wherein the static IP addresses represented in the first count are unique to one another;

determining a second count of static IP addresses of the set of static IP addresses that are associated with the mobile traffic and the non-mobile traffic, wherein the static IP addresses represented in the second count are unique to one another;

determining an overlap factor based on a ratio between the first count of static IP addresses and the second count of static IP addresses; and

determining, based on the overlap factor, a total count of unique static IP addresses via which the network entity was accessed.

2. The method of claim 1 , wherein the mobile traffic comprises mobile web traffic and mobile app traffic, wherein the mobile web traffic is based on operation of a web browser executing on a mobile device and the mobile app traffic is based on activities in an app, other than a web browser, executing on the mobile device.

3. The method of claim 2 , wherein the static IP addresses associated with the mobile traffic are represented in a total count of unique static IP addresses via which the network entity was accessed using the web browser, the app, or both the web browser and the app.

4. The method of claim 1 , wherein the total count of unique static IP addresses corresponds to a total count of unique client devices, wherein each unique static IP address represented by the total count of unique static IP addresses is assigned to a unique client device represented by the total count of unique client devices.

5. The method of claim 4 , wherein each unique client device represents a unique user.

6. The method of claim 4 , wherein the unique client devices are connected to the network entity via a home Internet Service Provider (ISP).

7. The method of claim 6 , wherein the unique static IP addresses represented by the total count of unique static IP addresses are unique with respect to the home ISP.

8. The method of claim 6 , wherein the set of static IP addresses is determined based on a plurality of cookies each indicating activity over a period of time exceeding a threshold period of time.

9. The method of claim 8 , wherein the set of static IP addresses is based on a determination that a candidate static IP address is not indicated in a number of cookies exceeding a threshold number of cookies.

10. The method of claim 6 , wherein the home ISP is characterized as a static ISP based on a number of cookies associated with the ISP that each indicate a single IP address, wherein the number of cookies exceeds a threshold number of cookies.

11. The method of claim 1 , wherein the non-mobile traffic is activity on a personal computer.

12. A computer-readable medium storing instructions that, when executed by a processor, effectuate operations comprising:

accessing usage data representing the access of a network entity by a plurality of client devices each associated with one or more Internet Protocol (IP) addresses of a plurality of IP addresses;

determining, based on the usage data, a set of static IP addresses of the plurality of IP addresses;

determining a first count of static IP addresses of the set of static IP addresses that are all associated with mobile traffic or that are all associated with non-mobile traffic, wherein the static IP addresses represented in the first count are unique to one another;

determining a second count of static IP addresses of the set of static IP addresses that are associated with the mobile traffic and the non-mobile traffic, wherein the static IP addresses represented in the second count are unique to one another;

determining an overlap factor based on a ratio between the first count of static IP addresses and the second count of static IP addresses; and

determining, based on the overlap factor, a total count of unique static IP addresses via which the network entity was accessed.

13. The computer-readable medium of claim 12 , wherein the mobile traffic comprises mobile web traffic and mobile app traffic, wherein the mobile web traffic is based on operation of a web browser executing on a mobile device and the mobile app traffic is based on activities in an app, other than a web browser, executing on the mobile device.

14. The computer-readable medium of claim 13 , wherein the static IP addresses associated with the mobile traffic are represented in a total count of unique static IP addresses via which the network entity was accessed using the web browser, the app, or both the web browser and the app.

15. The computer-readable medium of claim 12 , wherein the total count of unique static IP addresses corresponds to a total count of unique client devices, wherein each unique static IP address represented by the total count of unique static IP addresses is assigned to a unique client device represented by the total count of unique client devices.

16. The computer-readable medium of claim 12 , wherein the non-mobile traffic is activity on a personal computer.

17. A system, comprising:

at least one processor; and

at least one storage device in communication with the at least one processor, wherein the at least one storage device stores instructions that, when executed by the at least one processor, effectuate operations comprising:

accessing usage data representing the access of a network entity by a plurality of client devices each associated with one or more Internet Protocol (IP) addresses of a plurality of IP addresses;

determining, based on the usage data, a set of static IP addresses of the plurality of IP addresses;

determining a first count of static IP addresses of the set of static IP addresses that are all associated with mobile traffic or that are all associated with non-mobile traffic, wherein the static IP addresses represented in the first count are unique to one another;

determining a second count of static IP addresses of the set of static IP addresses that are associated with the mobile traffic and the non-mobile traffic, wherein the static IP addresses represented in the second count are unique to one another;

determining an overlap factor based on a ratio between the first count of static IP addresses and the second count of static IP addresses; and

determining, based on the overlap factor, a total count of unique static IP addresses via which the network entity was accessed.

18. The system of claim 17 , wherein the mobile traffic comprises mobile web traffic and mobile app traffic, wherein the mobile web traffic is based on operation of a web browser executing on a mobile device and the mobile app traffic is based on activities in an app, other than a web browser, executing on the mobile device.

19. The system of claim 18 , wherein the static IP addresses associated with the mobile traffic are represented in a total count of unique static IP addresses via which the network entity was accessed using the web browser, the app, or both the web browser and the app.

20. The system of claim 17 , wherein the total count of unique static IP addresses corresponds to a total count of unique client devices, wherein each unique static IP address represented by the total count of unique static IP addresses is assigned to a unique client device represented by the total count of unique client devices.