Measurements based on panel and census data

• US 10,192,227 B2
• Filed: 09/02/2016
• Issued: 01/29/2019
• Est. Priority Date: 04/05/2010
• Status: Active Grant

• Current Assignee: comScore, Inc.
• Original Assignee: comScore, Inc.
• Inventors: Pugh, Brian, Pecjak, Frank Eugene
• Primary Examiner(s): Bayard, Djenane M
• Application Number:
  US15/256,147
• Publication Number:
  US 20160371710A1
• Time in Patent Office: 879 Days
• CPC Class Codes: G06F 11/3466 Performance evaluation by tracing or monitoring
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: H04L 43/06 Generation of reports
• CPC Class Codes: H04L 63/10 for controlling access to devices or network resources
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A first set of usage data for a first set of resources on a network and a second set of usage data for a second set of resources on a network are accessed. The first set of resources were accessed by a first group of client systems and the first set of usage data is determined based on information received from the first group of client systems sent as a result of beacon instructions included with the first set of resources. The second set of usage data is determined based on information received from monitoring applications installed on a second group of client systems that accessed the second set of resources. Users of the second group of client systems are a sample of a larger group of users that use resources on the network. Initial usage measurement data for a third set of resources on the network is determined based on the first set of usage data. The third set includes one or more common resources that are included in the first set of resources and the second set of resources. One or more adjustment factors are determined based on the second set of usage data and applied to the initial usage measurement data to generate adjusted usage measurement data. One or more reports are generated based on the adjusted usage measurement data.

Claims

1. A system, comprising:

a plurality of client systems configured to access resources on a network;

a first server system comprising one or more processors and one or more storage devices storing instructions that, when executed by the one or more processors, cause the one or more processors to perform the following operations;

receive a first set of information from a first subset of the client systems as a result of the first subset of the client systems accessing a first set of resources on a network, the first set of information being sent as a result of beacon instructions included with the first set of resources;

store a first set of usage data for the first set of resources, the first set of usage data having been determined based on the first set of information received from the first subset of the client systems;

receive a second set of information from monitoring applications installed on a second subset of the client systems that accessed a second set of resources, wherein users of the second subset of client systems are a sample of a larger group of users that use resources on the network, and wherein the second set of resources includes one or more common resources that are included in the first set of resources; and

store a second set of usage data for the second set of resources, the second set of usage data being determined based on the second set of information received from the second subset of the client systems, wherein the second set of usage data includes information about cookies stored by the second subset of client systems; and

a second server system comprising one or more processors and one or more storage devices storing instructions that, when executed by the one or more processors, cause the one or more processors to perform the following operations;

access usage measurement data determined based on the first set of usage data for the first set of resources;

access the second set of usage data for the second set of resources;

determine, based on the second set of usage data and not based on the first set of usage data, one or more adjustment factors associated with a characteristic present in the second set of usage data and not present in the first set of usage data;

apply the one or more adjustments factors to the usage measurement data to generate adjusted usage measurement data; and

generate one or more reports based on the adjusted usage measurement data.

2. The system of claim 1, wherein the first set of information received from the first subset of the client systems includes, for each of the client systems in the first subset, one or more beacon messages that identify the first set of resources and a beacon cookie with a unique identifier for the client system.

3. The system of claim 2, wherein the accessed usage measurement data is determined by determining an initial count of unique visitors that accessed the first set of resources during a time period by determining a count of the received one or more beacon messages that identify the first set of resources and that include beacon cookies with different unique identifiers.

4. The system of claim 1, wherein the one or more adjustment factors include a non-beaconed adjustment factor that reflects a number of unique visitors that accessed one or more resources that are included in the second set of resources but not included in the first set of resources.

5. The system of claim 4, wherein the non-beaconed adjustment factor is determined by determining a projected number of unique visitors that accessed the second set of resources, determining a projected number of unique visitors that accessed the first set of resources, and subtracting the projected number of unique visitors that accessed the first set of resources from the projected number of unique visitors that accessed the second set of resources.

6. A system, comprising:

a plurality of client systems configured to access resources on a network;

a first server system comprising one or more processors and one or more storage devices storing instructions that, when executed by the one or more processors, cause the one or more processors to perform the following operations;

receive a first set of information from a first subset of the client systems as a result of the first subset of the client systems accessing a first set of resources on a network, the first set of information being sent as a result of instructions, included with the first set of resources, that cause a client system executing the instructions to automatically send a message that includes the first set of information;

store a first set of usage data for the first set of resources, the first set of usage data having been determined based on the first set of information received from the first subset of the client systems;

receive a second set of information from monitoring applications installed on a second subset of the client systems that accessed a second set of resources, wherein users of the second subset of client systems are a sample of a larger group of users that use resources on the network, and wherein the second set of resources includes one or more common resources that are included in the first set of resources; and

store a second set of usage data for the second set of resources, the second set of usage data being determined based on the second set of information received from the second subset of the client systems, wherein the second set of usage data includes information about unique identifiers stored by the second subset of client systems; and

a second server system comprising one or more processors and one or more storage devices storing instructions that, when executed by the one or more processors, cause the one or more processors to perform the following operations;

access usage measurement data determined based on the first set of usage data for the first set of resources;

access the second set of usage data for the second set of resources;

determine, based on information about unique identifiers stored by the second subset of client systems included in the second set of usage data, one or more adjustment factors associated with a characteristic present in the second set of usage data and not present in the first set of usage data;

apply the one or more adjustments factors to the usage measurement data to generate adjusted usage measurement data; and

generate one or more reports based on the adjusted usage measurement data.

7. The system of claim 6, wherein the first set of information received from the first subset of the client systems includes, for each of the client systems in the first subset, one or more messages that identify the first set of resources and a unique identifier for the client system.

8. The system of claim 7, wherein the accessed usage measurement data is determined by determining an initial count of unique visitors that accessed the first set of resources during a time period by determining a count of the received one or more messages that identify the first set of resources and that different unique identifiers.

9. The system of claim 7, wherein the one or more adjustment factors include an identifier-per-person adjustment factor that reflects a number of unique identifiers per person that accessed the first set of resources during the time period.

10. The system of claim 9, wherein the identifier-per-person adjustment factor is determined by determining a ratio of a projected total number of unique identifiers on the first subset of the client systems that accessed the first set of resources during the time period to a projected total number of people that accessed the first set of resources during the time period.

11. The system of claim 7, wherein the one or more adjustment factors include a person-per-identifier adjustment factor that reflects a number of persons that accessed the first set of resources during the time period per unique identifiers.

12. The system of claim 11, wherein the person-per-identifier adjustment factor is determined by determining a ratio of a projected total number of people that accessed the first set of resources during the time period to a projected total number of unique identifiers set on the first subset of the client systems that accessed the first set of resources during the time period.

13. The system of claim 6, wherein the one or more adjustment factors include a machine overlap adjustment factor that reflects a number of the client systems that were used to access the first set of resources during the time period per person that accessed the first set of resources during the time period.

14. The system of claim 13, wherein the machine overlap adjustment factor is based on one or more of an incremental number of client systems per person used to access the first set of resources during the time period, a frequency of accesses per person that accessed the first set of resources during the time period, and an average number of accesses to the first set of resources per day during the time period.

15. The system of claim 14, wherein the incremental number of client systems per person is determined based on a ratio of a total number of client systems that accessed the first set of resources during the time period to a total number of people that accessed the first set of resources during the time period.

16. The system of claim 6, wherein the one or more adjustment factors include a non-beaconed adjustment factor that reflects a number of unique visitors that accessed one or more resources that are included in the second set of resources but not included in the first set of resources.

17. The system of claim 16, wherein the non-beaconed adjustment factor is determined by determining a projected number of unique visitors that accessed the second set of resources, determining a projected number of unique visitors that accessed the first set of resources, and subtracting the projected number of unique visitors that accessed the first set of resources from the projected number of unique visitors that accessed the second set of resources.