EVALUATING THIRD PARTY TARGETING DATA

• US 20130024269A1
• Filed: 07/19/2011
• Published: 01/24/2013
• Est. Priority Date: 07/19/2011
• Status: Abandoned Application

• Current Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Farahat, Ayman, Cory, Amir
• Application Number:
  US13/185,969
• Publication Number:
  US 20130024269A1
• Time in Patent Office: Days
• US Class Current: 705/14.41
• CPC Class Codes: G06Q 30/0241 Advertisements

Abstract

Determining the impact or influence of targeting data on the success of an advertisement may be useful for improving targeting and evaluating third party targeting data. Advertising may be more effective when it is properly targeted based on the audience viewing the advertisement. Identifying the audience and determining information about that audience are part of the targeting process. Audience information or targeting data may be provided by third party data providers that can be used by publishers and/or advertisers to improve targeting. Utilizing a model for assessing the value provided by targeting data may be effective when multiple variables are considered to properly attribute advertisement success to the targeting data.

Claims

1. A method for analyzing targeting data comprising:

receiving the targeting data;

identifying a variable to analyze, wherein the variable to analyze indicates one or more events;

identifying one or more independent variables that impact the presence of the one or more events;

generating a model for analyzing the targeting data that includes the variable to analyze and the independent variables as inputs to the generated model; and

analyzing the generated model to determine an effect of the targeting data on the variable to analyze.

2. The method according to claim 1 wherein the one or more events comprises an indication of effectiveness of the targeting data.

3. The method according to claim 1 wherein the event comprises a click or a conversion.

4. The method according to claim 3 wherein the conversion comprises a purchase or a registration.

5. The method according to claim 1 wherein the targeting data is provided by a third party.

6. The method according to claim 5 further comprising:

determining a compensation for the third party, wherein the compensation is based on the effect of the targeting data on the variable to analyze, such that a greater effect results in more compensation.

7. The method according to claim 1 wherein the independent variables comprise at least one of insertion order, pricing, segment, impressions, revenue, line ratio, or targeting.

8. The method according to claim 1 wherein the model is a linear regression model.

9. The method according to claim 8 further comprising:

updating the generated linear model based on the determined effect from the targeting data; and

repeating the analysis using the updated model.

10. The method according to claim 1 wherein the determined effect comprises a marginal impact on the variable to analyze from the targeting data.

11. The method according to claim 10 wherein the variable to analyze comprises conversions and the percentage of impact comprises a percentage by which the conversions are caused from the targeting data.

12. A computer system for evaluating targeting data comprising :

a server configured to provide targeted advertisements and measure results from the provided targeted advertisements; and

an evaluator coupled with the server that comprises;

a receiver that receives targeting data;

an identifier that identifies a dependent variable to analyze and one or more independent variables that impact the effectiveness of the targeting data;

a modeler that develops a model for an interaction between the dependent variable and the independent variables; and

an analyzer that uses the model to determine whether the targeting data influenced the dependent variable.

13. The system of claim 12 wherein the dependent variable comprises conversions.

14. The system of claim 12 wherein the independent variables comprise at least one of insertion order, pricing, segment, impressions, revenue, clicks, conversion, line ratio, or targeting.

15. The system of claim 12 wherein the server provides web pages from a publisher, wherein the provided web pages include the targeted advertisements.

16. The system of claim 15 wherein the independent variables are measured by the publisher and the targeting data is provided by a third party.

17. The system of claim 16 wherein a compensation to the third party for receipt of the targeting data is determined by the influence on the dependent variable by the targeting data.

18. The system of claim 15 wherein the targeted advertisements are provided to the publisher from an advertiser.

19. In a computer readable medium having stored therein data representing instructions executable by a programmed processor for analyzing targeting, the storage medium comprising instructions operative for:

receiving internal targeting data and external targeting data;

identifying at least one variable that is impacted by the internal or external targeting data;

generating a linear model for analyzing an impact of the internal targeting data and the external targeting data on a conversion rate; and

attributing, with the linear model, a contribution from each of internal targeting data and external targeting data to the conversion rate.

20. The computer readable medium of claim 19 wherein the external targeting data is provided by a third party.

21. The computer readable medium of claim 20 further comprising:

determining a compensation for the third party, wherein the compensation is based on the contribution from the external targeting data to the conversion rate.

22. The computer readable medium of claim 19 wherein the linear model comprises a regression model.