Propensity-to-click targeting and modeling

• US 20080147476A1
• Filed: 12/19/2006
• Published: 06/19/2008
• Est. Priority Date: 12/19/2006
• Status: Active Grant

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Patel, Kavel
• Granted Patent: US 7,769,786 B2
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

In an embodiment of the present invention, two or more metrics may be measured from the group consisting of: the user'"'"'s age, the user'"'"'s gender, the user'"'"'s race, the user'"'"'s geographic location, the user'"'"'s annual income, the user'"'"'s profession, types of areas of the search engine that the user frequents, types of searches that the user typically conducts, and the user'"'"'s prior history (short and/or long-term) of clicking on advertisements. A propensity-to-click score may then be calculated for the user based on the two or more measured metrics. Then this score may be used to dynamically determine how to present advertising in response to a search by the user.

Claims

1. A method for utilizing a user of a search engine'"'"'s propensity-to-click on advertisements, the method comprising:

measuring two or more metrics relating to the user'"'"'s propensity to click on advertising.

calculating a propensity-to-click score for the user based on the two or more measured metrics; and

dynamically determining, using the propensity-to-click score for the user, how to present advertising in response to a search by the user.

2. The method of claim 1, wherein the two or more metrics are selected from the group consisting of:

the user'"'"'s age;

the user'"'"'s gender;

the user'"'"'s race;

the user'"'"'s geographic location;

the user'"'"'s annual income;

the user'"'"'s profession;

types of areas of the search engine that the user frequents;

types of searches that the user typically conducts; and

the user'"'"'s prior history of clicking on advertisements;

3. The method of claim 1, wherein the dynamically determining includes determining to present zero advertisements in response to a search by a user with a low propensity-to-click score.

4. The method of claim 3, wherein the dynamically determining includes, if the user has been presented with zero advertisements over a preset period due to a low propensity-to-click score, determining to present one or more advertisements in response to a search by the user.

5. The method of claim 4, wherein the preset period is three months.

6. The method of claim 1, further comprising:

determining an increased advertising rate for advertisements displayed to users with high propensity-to-click scores than for advertisements displayed to users with low propensity-to-click scores.

7. The method of claim 1, wherein the dynamically determining includes determining to present only advertisements popular in the user'"'"'s geographic area in response to a search by a user with a low propensity-to-click score.

8. The method of claim 1, further comprising, if the user'"'"'s propensity-to-click score is high but the user does not conduct many searches, targeting the user with a user acquisition campaign.

9. An apparatus for utilizing a user of a search engine'"'"'s propensity-to-click on advertisements, the apparatus comprising:

a propensity-to-click metric measurer configured to measure two or more metrics relating to the user'"'"'s propensity to click on advertising;

a propensity-to-click score calculator coupled to the propensity-to-click metric measurer and configured to calculate a propensity-to-click score for the user based on the two or more measured metrics; and

an advertising dynamic determiner coupled to the propensity-to-click score calculator and configured to dynamically determine, using the propensity-to-click score for the user, how to present advertising in response to a search by the user.

10. The apparatus of claim 9, wherein the propensity-to-click metric measurer is further configured measure two or more metrics elected from the group consisting of:

the user'"'"'s age;

the user'"'"'s gender;

the user'"'"'s race;

the user'"'"'s geographic location;

the user'"'"'s annual income;

the user'"'"'s profession;

types of areas of the search engine that the user frequents;

types of searches that the user typically conducts; and

the user'"'"'s prior history of clicking on advertisements;

11. The apparatus of claim 9, further comprising:

an increased advertising rate determiner coupled to the propensity-to-click score calculator and configured to determine an increased advertising rate for advertisements displayed to users with high propensity-to-click scores than for advertisements displayed to users with low propensity-to-click scores.

12. An apparatus for utilizing a user of a search engine'"'"'s propensity-to-click on advertisements, the apparatus comprising:

means for measuring two or more metrics relating to the user'"'"'s propensity to click on advertising;

means for calculating a propensity-to-click score for the user based on the two or more measured metrics; and

means for dynamically determining, using the propensity-to-click score for the user, how to present advertising in response to a search by the user.

13. A program storage device readable by a machine, tangibly embodying a program of instructions executable by the machine to perform a method for utilizing a user of a search engine'"'"'s propensity-to-click on advertisements, the method comprising:

measuring two or more metrics relating to the user'"'"'s propensity to click on advertising.

calculating a propensity-to-click score for the user based on the two or more measured metrics; and

dynamically determining, using the propensity-to-click score for the user, how to present advertising in response to a search by the user.

14. The program storage device of claim 13, wherein the two or more metrics are selected from the group consisting of:

the user'"'"'s age;

the user'"'"'s gender;

the user'"'"'s race;

the user'"'"'s geographic location;

the user'"'"'s annual income;

the user'"'"'s profession;

types of areas of the search engine that the user frequents;

types of searches that the user typically conducts; and

the user'"'"'s prior history of clicking on advertisements;

15. The program storage device of claim 13, wherein the dynamically determining includes determining to present zero advertisements in response to a search by a user with a low propensity-to-click score.

16. The program storage device of claim 15, wherein the dynamically determining includes, if the user has been presented with zero advertisements over a preset period due to a low propensity-to-click score, determining to present one or more advertisements in response to a search by the user.

17. The program storage device of claim 16, wherein the preset period is three months.

18. The program storage device of claim 13, wherein the method further comprises:

determining an increased advertising rate for advertisements displayed to users with high propensity-to-click scores than for advertisements displayed to users with low propensity-to-click scores.

19. The program storage device of claim 13, wherein the dynamically determining includes determining to present only advertisements popular in the user'"'"'s geographic area in response to a search by a user with a low propensity-to-click score.

20. The program storage device of claim 13, wherein the method further comprises, if the user'"'"'s propensity-to-click score is high but the user does not conduct many searches, targeting the user with a user acquisition campaign.