Methods and apparatus for measurinfg the effect of online advertising on online user behavior

• US 20070260519A1
• Filed: 11/17/2006
• Published: 11/08/2007
• Est. Priority Date: 05/04/2006
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Oath Inc. (Verizon Communications Inc.)
• Inventors: Sattley, Bruce Robert, Madsen, Mark Hunter, Shreiner, Taylor Andrew, Prater, Ethan Evan
• Application Number:
  US11/601,273
• Publication Number:
  US 20070260519A1
• Time in Patent Office: Days
• US Class Current: 705/14.410
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

Described herein are methods and apparatus for measuring the effect of an online advertisement campaign on online behavior (searches relevant to the campaign and/or click activity on particular sponsored, algorithmic, and/or third-party links) of exposed users who have received a campaign advertisement. Online events of exposed and unexposed users are logged during a pre-campaign period (before any users receive any campaign advertisements) and a campaign period (when exposed users receive a campaign advertisement). A variety of behavior measurements and metrics may be determined using the logged user events. A metric may indicate the difference of an online activity between exposed and unexposed users during the campaign period or between exposed users during the pre-campaign and campaign periods. A metric may indicate the campaign'"'"'s effect on an online activity by exposed users during the pre-campaign and campaign period in comparison to the online activity by unexposed users during the same periods.

Claims

1. A method for determining the effect of a set of one or more online advertisements on hyperlink selection behavior of a first set of one or more users, the method comprising:

determining a first number of selections of one or more predetermined hyperlinks made by the first set of users during a first time period when each user in the first set of users does not receive any advertisement in the set of advertisements;

determining a second number of selections of the one or more predetermined hyperlinks made by the first set of users during a second time period when each user in the first set of users receives at least one advertisement in the set of advertisements, the second time period being after the first time period; and

determining a first metric using the first and second numbers, the first metric reflecting any difference between the first and second numbers.

2. The method of claim 1, wherein:

the set of one or more online advertisements comprises advertisements of an advertiser; and

the one or more predetermined hyperlinks comprise one or more sponsored hyperlinks of the advertiser.

3. The method of claim 1, wherein:

the set of one or more online advertisements comprises advertisements of an advertiser; and

the one or more predetermined hyperlinks comprise one or more algorithmic hyperlinks to a web page of the advertiser.

4. The method of claim 1, wherein:

the set of one or more online advertisements comprises advertisements of an advertiser; and

the one or more predetermined hyperlinks comprise one or more hyperlinks in a web page of the advertiser.

5. The method of claim 1, further comprising:

determining a third number of selections of the one or more predetermined hyperlinks made by a second set of users during the first time period when each user in the second set of users does not receive any advertisement in the set of advertisements;

determining a fourth number of selections of the one or more predetermined hyperlinks made by the second set of users during the second time period when each user in the second set of users does not receive any advertisement in the set of advertisements;

determining a second metric using the third and fourth numbers, the second metric reflecting any difference between the third and fourth numbers; and

determining a third metric using the first and second metrics, the third metric reflecting any difference between the first and second metrics.

6. The method of claim 5, wherein the third metric reflects any disparity between the difference in selections of the one or more predetermined hyperlinks made by the first set of users from the first time period to the second time period and the difference in selections of the one or more predetermined hyperlinks made by the second set of users from the first time period to the second time period.

7. The method of claim 5, wherein the third metric reflects how many times larger any increase in selections of the one or more predetermined hyperlinks made by the first set of users from the first time period to the second time period is than any increase in selections of the one or more predetermined hyperlinks made by the second set of users from the first time period to the second time period.

8. A system for determining the effect of a set of one or more online advertisements on hyperlink selection behavior of a first set of one or more users, the system comprising:

a behavior module configured to;

determine a first number of selections of one or more predetermined hyperlinks made by the first set of users during a first time period when each user in the first set of users does not receive any advertisement in the set of advertisements;

determine a second number of selections of the one or more predetermined hyperlinks made by the first set of users during a second time period when each user in the first set of users receives at least one advertisement in the set of advertisements, the second time period being after the first time period; and

determine a first metric using the first and second numbers, the first metric reflecting any difference between the first and second numbers.

9. The system of claim 8, wherein:

the set of one or more online advertisements comprises advertisements of an advertiser; and

the one or more predetermined hyperlinks comprise one or more sponsored hyperlinks of the advertiser.

10. The system of claim 8, wherein:

the set of one or more online advertisements comprises advertisements of an advertiser; and

the one or more predetermined hyperlinks comprise one or more algorithmic hyperlinks to a web page of the advertiser.

11. The system of claim 8, wherein:

the set of one or more online advertisements comprises advertisements of an advertiser; and

the one or more predetermined hyperlinks comprise one or more hyperlinks in a web page of the advertiser.

12. The system of claim 8, wherein the behavior module is further configured to:

determine a third number of selections of the one or more predetermined hyperlinks made by a second set of users during the first time period when each user in the second set of users does not receive any advertisement in the set of advertisements;

determine a fourth number of selections of the one or more predetermined hyperlinks made by the second set of users during the second time period when each user in the second set of users does not receive any advertisement in the set of advertisements;

determine a second metric using the third and fourth numbers, the second metric reflecting any difference between the third and fourth numbers; and

determine a third metric using the first and second metrics, the third metric reflecting any difference between the first and second metrics.

13. The system of claim 12, wherein the third metric reflects any disparity between the difference in selections of the one or more predetermined hyperlinks made by the first set of users from the first time period to the second time period and the difference in selections of the one or more predetermined hyperlinks made by the second set of users from the first time period to the second time period.

14. The system of claim 12, wherein the third metric reflects how many times larger any increase in selections of the one or more predetermined hyperlinks made by the first set of users from the first time period to the second time period is than any increase in selections of the one or more predetermined hyperlinks made by the second set of users from the first time period to the second time period.

15. A method for determining the effect of a set of one or more advertisements on hyperlink selection behavior of a first set of one or more users, each user having received at least one advertisement in the set of advertisements, the method comprising:

determining a first number of selections of one or more predetermined hyperlinks made by the first set of users;

determining a second number of selections of the one or more predetermined hyperlinks made by a second set of one or more users who have not received any advertisement in the set of advertisements; and

determining a metric using the first and second numbers, the metric reflecting any difference between the first and second numbers.

16. The method of claim 15, wherein:

the set of one or more online advertisements comprises advertisements of an advertiser; and

the one or more predetermined hyperlinks comprise one or more sponsored hyperlinks of the advertiser or comprises one or more algorithmic hyperlinks to a web page of the advertiser.

17. The method of claim 15, wherein:

the set of one or more online advertisements comprises advertisements of an advertiser; and

the one or more predetermined hyperlinks comprise one or more hyperlinks in a web page of the advertiser.

18. A system for determining the effect of a set of one or more advertisements on hyperlink selection behavior of a first set of one or more users, each user having received at least one advertisement in the set of advertisements, the system comprising:

a behavior module configured to;

determine a first number of selections of one or more predetermined hyperlinks made by the first set of users;

determine a second number of selections of the one or more predetermined hyperlinks made by a second set of one or more users who have not received any advertisement in the set of advertisements; and

determine a metric using the first and second numbers, the metric reflecting any difference between the first and second numbers.

19. The system of claim 18, wherein:

the set of one or more online advertisements comprises advertisements of an advertiser; and

the one or more predetermined hyperlinks comprise one or more sponsored hyperlinks of the advertiser or comprises one or more algorithmic hyperlinks to a web page of the advertiser.

20. The system of claim 18, wherein:

the set of one or more online advertisements comprises advertisements of an advertiser; and

the one or more predetermined hyperlinks comprise one or more hyperlinks in a web page of the advertiser.