Computer program product and method for estimating internet traffic

• US 7,979,544 B2
• Filed: 06/30/2009
• Issued: 07/12/2011
• Est. Priority Date: 03/07/2002
• Status: Expired due to Term

• Current Assignee: comScore, Inc.
• Original Assignee: Compete, Inc. (comScore, Inc.)
• Inventors: Moores, Lauren S, Currea, Laura, Cancel, David
• Primary Examiner(s): WASEL, MOHAMED A
• Application Number:
  US12/495,771
• Publication Number:
  US 20100030894A1
• Time in Patent Office: 742 Days
• Field of Search: 709/223, 709/224
• US Class Current: 709/224
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Taking a size and demographic composition of a target population; identifying a group of participants; determining demographic information for each member of the group; receiving clickstream data that connotes Internet activity of individual members of the group; producing an estimate of the target population'"'"'s Internet activity by scaling the data for each member of the group to the relative size and demographic composition of the target population and the group by applying a weight to the clickstream data in view of the demographic information; and refining the estimate of the population'"'"'s Internet activity by applying a weight to a subset of the data from the group of participants, wherein the bias adjustment is at least one of a domain-specific, page-specific, segment-specific, and user-specific adjustment.

Claims

1. A method of estimating Internet traffic, the method comprising:

taking a size and demographic composition of a target population;

identifying a group of participants within the target population;

determining demographic information for each member of the group of participants;

receiving clickstream data at a host processing facility from the group of participants that connotes Internet activity of individual members of the group of participants;

producing, at the host processing facility, an estimate of the target population'"'"'s Internet activity by scaling the clickstream data for each member of the group of participants to the relative size and demographic composition of the target population and the group of participants, wherein scaling comprises applying a weight to the clickstream data in view of the demographic information; and

refining the estimate of the target population'"'"'s Internet activity by applying a bias adjustment to the estimate, wherein

applying the bias adjustment to the estimate comprises applying the weight to a subset of the clickstream data from the group of participants wherein the bias adjustment is at least one of a domain-specific, page-specific, segment-specific, and user-specific adjustment.

2. The method of claim 1, wherein the clickstream data is from a plurality of sources.

3. The method of claim 1, wherein the individual members of the group of participants are uniquely identifiable from the clickstream data.

4. The method of claim 1, wherein the Internet activity comprises a physical activity of the individual members of the group of participants, the physical activity selected from the group consisting of clicking, dwelling, and viewing.

5. The method of claim 1, further comprising:

producing, at the host processing facility, an Internet traffic rank of a web site based upon the estimate of the target population'"'"'s Internet activity.

6. The method of claim 1, further comprising:

producing, at the host processing facility, a visit metric of a web site based upon the estimate of the target population'"'"'s Internet activity.

7. The method of claim 1, further comprising:

producing, at the host processing facility, an engagement metric of a web site by applying site analytics to the estimate of the target population'"'"'s Internet activity.

8. The method of claim 1, further comprising:

wherein determining demographic information of at least one of the target population and the group of participants comprises receiving the demographic information from a remote source.

9. The method of claim 1, wherein the size and demographic composition of at least one of the target population and the group of participants is updated periodically.

10. The method of claim 1, wherein the demographic composition groups the target population based on at least one of gender, age, income, and geography.

11. The method of claim 1, wherein new members are added periodically to the group of participants.

12. The method of claim 1, wherein members are periodically removed from the group of participants, and wherein upon removing members from the group, adjusting the weight of the clickstream data from the remaining members.

13. The method of claim 1, further comprising, adjusting the weight applied to the clickstream data related to the Internet activity of a new member of the group of participants.

14. The method of claim 13, wherein adjusting the weight includes increasing the weight of the new member over time.

15. The method of claim 13, wherein adjusting the weight includes applying a diminished weight for the new member and allowing the weight to increase over time.

16. The method of claim 1, wherein the weight relates to at least one of the size of the group of participants and a demographic-specific weight.

17. The method of claim 1, wherein the weight comprises at least one of a static value and a dynamic value.

18. The method of claim 17, wherein the static values are at least one of hardcoded and based upon a heuristic.

19. A memory having computer executable code stored therein, the computer executable code adapted to run on at least one computing device, the computer executable code realizing a process comprising:

receiving clickstream data at a host processing facility, the clickstream data from a group of participants that connotes Internet activity of individual members of the group of participants, wherein the group of participants is identified from within a target population for which a size and demographic composition is taken;

producing, at the host processing facility, an estimate of the target population'"'"'s Internet activity by scaling the clickstream data for each member of the group of participants to a relative size and demographic composition of the target population and the group of participants, wherein the individual members of the group of participants are uniquely identifiable from the clickstream data;

scaling comprises applying a weight to the clickstream data in view of the demographic information; and

refining the estimate of the target population'"'"'s Internet activity by applying a bias adjustment to the estimate, wherein

applying the bias adjustment to the estimate comprises applying the weight to a subset of the clickstream data from the group of participants wherein the bias adjustment is at least one of a domain-specific, page-specific, segment-specific, and user-specific adjustment.