Method of Facilitating Advertising Research and Use of the Method

• US 20070143184A1
• Filed: 12/08/2006
• Published: 06/21/2007
• Est. Priority Date: 12/15/2005
• Status: Abandoned Application

• Current Assignee: Madison Avenue Tools, Inc.
• Original Assignee: Madison Avenue Tools, Inc.
• Inventors: Szmanda, Jeffrey
• Application Number:
  US11/608,748
• Publication Number:
  US 20070143184A1
• Time in Patent Office: Days
• US Class Current: 705/14.520
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0257 User requested
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

This disclosure provides a method of facilitating advertising research by providing a plurality of individual customer inputs, said plurality of individual customer inputs being obtained from searches by one or more customers using a customer response facilitation system, and characterized in that the final output of each search session includes at least one advertisement sought by the individual customer; computing the accuracy of the customer inputs relative to the advertiser'"'"'s targeted advertisement or advertisements; and computing the precision of the customer inputs.

Claims

1. A method of facilitating advertising research, comprising:

providing a plurality of individual customer inputs, said plurality of individual customer inputs being obtained from searches by one or more customers using a customer response facilitation system, and characterized in that the final output of each search session includes at least one advertisement sought by the individual customer;

computing the accuracy of the customer inputs relative to the advertiser'"'"'s targeted advertisement or advertisements; and

computing the precision of the plurality of individual customer inputs.

2. The method of claim 1, wherein the accuracy and, optionally, the precision are computed using Bayesian analysis.

3. The method of claim 1, wherein the precision of the customer inputs is computed using at least one statistical method chosen from discriminant analysis, logistic regression, linear regression, nonlinear regression, analysis of variance or analysis of covariance.

4. The method of claim 1, further comprising:

performing a longitudinal study wherein the accuracy and precision are evaluated repeatedly over time.

5. The method of claim 1, wherein the response facilitation system is chosen from a searched based system, an advertisement recording system or a peer-to-peer system.

6. A method of facilitating advertising research, comprising:

providing a plurality of individual customer inputs, said plurality of individual customer inputs being obtained from searches by one or more customers using a customer response facilitation system, and characterized in that the final output of each search session includes at least one advertisement sought by the individual customer;

sorting the inputs into groups according to one or more demographic segments;

computing the accuracy of the customer inputs within in each group relative to the advertiser'"'"'s targeted advertisement or advertisements; and

computing the precision of the customer inputs within each group.

7. The method of claim 6, wherein the accuracy and, optionally, the precision are computed using Bayesian analysis.

8. The method of claim 6, wherein the precision of the customer inputs is computed using at least one statistical method chosen from discriminant analysis, logistic regression, linear regression, nonlinear regression, analysis of variance or analysis of covariance.

9. The method of claim 6, wherein the response facilitation system is chosen from a searched based system, an advertisement recording system or a peer-to-peer system.

10. The method of claim 6, wherein the one or more demographic segments are chosen from age, ethnic background, race, geographic location, sex, political preference, occupation, income, religion, sexual preference, avocations and hobbies, musical preference, entertainment preferences, education, economic status, distance from workplace, housing type and automobile preference or a combination of any of the foregoing.

11. The method of claim 6, further comprising:

performing a longitudinal study wherein the accuracy and precision are evaluated repeatedly over time.

12. A method of facilitating advertising research, comprising:

providing a plurality of individual customer inputs, said plurality of individual customer inputs being obtained from individual searches by one or more customers using a customer response facilitation system, and characterized in that the final output of each search session includes at least one advertisement sought by the individual customer;

sorting the inputs into groups such that the final outputs of the search sessions in each group correspond to different advertisements;

computing the accuracy of the sorted customer inputs within each group relative to the advertiser'"'"'s targeted advertisement or advertisements; and

computing the precision of the customer inputs within each group.

13. The method of claim 12, wherein the accuracy and, optionally, the precision are computed using Bayesian analysis.

14. The method of claim 12, wherein the precision of the customer inputs is computed using at least one statistical method chosen from discriminant analysis, logistic regression, linear regression, nonlinear regression, analysis of variance or analysis of covariance.

15. The method of claim 12, wherein the response facilitation system is chosen from a searched based system, an advertisement recording system or a peer-to-peer system.

16. The method of claim 12 further comprising:

performing a longitudinal study wherein the accuracy and precision are evaluated repeatedly over time.