System and Method for Generating Effective Advertisements in Electronic Commerce

• US 20060277102A1
• Filed: 06/06/2006
• Published: 12/07/2006
• Est. Priority Date: 06/06/2005
• Status: Abandoned Application

• Current Assignee: Better, Inc. (Tsavo Media)
• Original Assignee: Better, Inc. (Tsavo Media)
• Inventors: Agliozzo, Joe
• Application Number:
  US11/422,521
• Publication Number:
  US 20060277102A1
• 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 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

An advertising analysis system for providing at least one optimal advertisement from an incoming advertisement having a plurality of modifiable advertisement elements and methods for manufacturing and using same. Analyzing each possible advertisement variation of the advertisement, the advertising analysis system applies multivariate testing to identify the advertisement variations with selected combinations of advertisement elements as being optimal test cases and provides the identified advertisement variations as test advertisements. User response to each test advertisement is compiled as test results during a predetermined test period. Based upon the test results, the advertising analysis system performs multivariate testing to analyze the interrelation among the tested advertisement elements and extrapolates the test results to predict the effectiveness of each advertisement variation. The advertising analysis system thereby automatically provides a predetermined number of the advertisement variations with the optimal predicted effectiveness as the more-effective advertisements in a timely manner.

Claims

1. A method for generating an effective advertisement, comprising:

receiving an advertisement having a plurality of advertisement elements;

modifying at least one of the advertisement elements to generate a plurality of advertisement variations for the incoming advertisement;

applying multivariate testing to the plurality of advertisement variations to identify at least one test advertisement, each of the at least one test advertisement being an optimal test case and comprising a selected combination of the advertisement elements;

compiling user response to each of the at least one test advertisement during a predetermined test period;

performing multivariate testing on the user response to analyze an interrelation among the advertisement elements to predict an effectiveness of each of the advertisement variations;

comparing the predicted effectiveness of each of the advertisement variations to identify a selected advertisement variation with a highest predicted effectiveness; and

providing the selected advertisement variation as the effective advertisement.

2. The method of claim 1, wherein said receiving the advertisement comprises receiving the advertisement with advertisement in which a predetermined advertisement element is associated with a plurality of element options and wherein said generating the plurality of the advertisement variations includes selecting one of the element options for the predetermined advertisement element.

3. The method of claim 1, wherein said generating the plurality of the advertisement variations includes rearranging the at least one of the advertisement elements within the advertisement.

4. The method of claim 1, wherein said applying multivariate testing to the plurality of advertisement variations comprises applying multivariate testing to the plurality of advertisement variations in accordance with a methodology selected from the group consisting of the Taguchi design method and fractional factorial experiment design method.

5. The method of claim 4, wherein said applying multivariate testing to the plurality of advertisement variations includes creating an input mapping assignment between each of the advertisement elements and a selected Taguchi factor, generating a Taguchi matrix to specify a predetermined number of experiments in a fractional factorial experiment design to determine an effect for each of the advertisement variations, applying the input mapping assignment to each of the experiments in accordance with the Taguchi matrix to provide the at least one test advertisement.

6. The method of claim 5, wherein said generating the Taguchi matrix comprises generating the Taguchi matrix selected from the group consisting of a Taguchi L4 matrix, a Taguchi L8 matrix, a Taguchi L9 matrix, a Taguchi L12 matrix, a Taguchi L16 matrix, a Taguchi L18 matrix, a Taguchi L25 matrix, a Taguchi L27 matrix, a Taguchi L32 matrix, a Taguchi L36 matrix, and a Taguchi L50 matrix.

7. The method of claim 5, wherein said performing multivariate testing on the user response comprises performing multivariate testing on the user response in accordance with a methodology selected from the group consisting of the Taguchi design method and fractional factorial experiment design method.

8. The method of claim 7, wherein said performing multivariate testing on the user response includes determining whether the user response is available for each of the at least one test advertisement and, if the user response is not available for at least one of the at least one test advertisement, rejecting the user response and again compiling the user response to each of the at least one test advertisement during a subsequent predetermined test period.

9. The method of claim 7, wherein said performing multivariate testing on the user response includes retrieving the Taguchi matrix with the user response, reconstructing the input mapping assignment, applying Taguchi methodology to determine a relative impact for each of the advertisement variations, and using the relative impact to predict the effectiveness of each of the advertisement variations.

10. The method of claim 1, wherein said comparing the predicted effectiveness of each of the advertisement variations comprises comparing the predicted effectiveness of each of the advertisement variations to identify a predetermined number of selected advertisement variations with highest predicted effectiveness, and wherein said providing the selected advertisement variation as the effective advertisement comprises providing each of the predetermined number of selected advertisement variations as the effective advertisement.

11. The method of claim 10, wherein said providing the selected advertisement variation includes selecting the predetermined number of the selected advertisement variations to be provided as the effective advertisement.

12. The method of claim 1, further comprising updating the effective advertisement by repeating said applying the multivariate testing to the plurality of advertisement variations, said compiling the user response to each of the at least one test advertisement, said performing the multivariate testing on the user response, and said comparing the predicted effectiveness of each of the advertisement variations.

13. The method of claim 12, wherein said updating the effective advertisement comprises periodically updating the effective advertisement to account for any changing conditions within the relevant advertising domain.

14. An advertising analysis system for providing at least one effective advertisement from an incoming advertisement having a plurality of advertisement elements, comprising:

an input port that receives the incoming advertisement;

an output port that provides the at least one effective advertisement; and

a processing system that receives the incoming advertisement from said input port and modifies at least one of the advertisement elements to generate a plurality of advertisement variations for the incoming advertisement, said processing system applying multivariate testing to the plurality of advertisement variations to identify at least one test advertisement each being an optimal test case and comprising a selected combination of the advertisement elements, compiling user response to each of the at least one test advertisement during a predetermined test period, and performing multivariate testing on the user response to analyze an interrelation among the advertisement elements to predict an effectiveness of each of the advertisement variations,

wherein said processing system compares the predicted effectiveness of each of the advertisement variations to identify a selected advertisement variation with a highest predicted effectiveness and provides the selected advertisement variation to said output port as the effective advertisement.

15. The advertising analysis system of claim 14, wherein the plurality of advertisement elements are selected from the group consisting of at least one textual advertisement element, at least one graphical advertisement element, and at least one Internet advertisement elements.

16. The advertising analysis system of claim 15, wherein the plurality of advertisement elements are selected from the group consisting of headline information, description information, pricing information, promotional information, contact information, a display Uniform Resource Locator, and a destination Uniform Resource Locator.

17. The advertising analysis system of claim 14, wherein a predetermined advertisement element is associated with a plurality of element options and wherein said processing system modifies the predetermined advertisement element by selecting one of the element options.

18. The advertising analysis system of claim 14, wherein said processing system modifies the predetermined advertisement element by rearranging the at least one of the advertisement elements within the incoming advertisement.

19. The advertising analysis system of claim 14, wherein said processing system applies said multivariate testing to the plurality of advertisement variations and performs said multivariate testing on the user response each in accordance with a methodology selected from the group consisting of the Taguchi design method and fractional factorial experiment design method.

20. The advertising analysis system of claim 14, wherein said processing system compiles the user response to each of the at least one test advertisement by providing the at least one test advertisement to an advertising network and receiving the user response from the advertising network.

21. An advertising system, comprising:

an advertising analysis system that receives an incoming advertisement having a plurality of advertisement elements, said advertising analysis system modifying at least one of the advertisement elements to generate a plurality of advertisement variations for the incoming advertisement and applying multivariate testing to the plurality of advertisement variations to identify at least one test advertisement, each of the at least one test advertisement being an optimal test case and comprising a selected combination of the advertisement elements; and

an advertising network that receives the at least one test advertisement from said advertising analysis system and that receives user response to each of the at least one test advertisement during a predetermined test period,

wherein said advertising analysis system compiles the user response and performs multivariate testing on the user response to analyze an interrelation among the advertisement elements to predict an effectiveness of each of the advertisement variations, said advertising analysis system comparing the predicted effectiveness of each of the advertisement variations to identify a selected advertisement variation with a highest predicted effectiveness and providing the selected advertisement variation as an effective advertisement.

22. The advertising system of claim 21, wherein said advertising analysis system applies said multivariate testing to the plurality of advertisement variations and performs said multivariate testing on the user response each in accordance with a methodology selected from the group consisting of the Taguchi design method and fractional factorial experiment design method.

23. The advertising system of claim 21, wherein said advertising analysis system and said advertising network communicate via a communication network.

24. The advertising system of claim 23, wherein said communication network comprises the Internet.

25. The advertising system of claim 21, further comprising an advertiser system that provides the incoming advertisement to said advertising analysis system.

26. The advertising system of claim 21, wherein the effective advertisement is selectable via said advertiser system.

27. The advertising system of claim 21, further comprising at least one user system that receives the at least one test advertisement from said advertising network and that provides the user response to said advertising network.

28. The advertising system of claim 21, wherein said advertising analysis system compares the predicted effectiveness of each of the advertisement variations to identify a predetermined number of selected advertisement variations with highest predicted effectiveness and provides each of the predetermined number of selected advertisement variations as the effective advertisement.

29. The advertising system of claim 28, further comprising an advertiser system that selects the predetermined number of the selected advertisement variations to be provided as the effective advertisement.

30. The advertising system of claim 21, wherein said advertising analysis system updates the effective advertisement by repeatedly applying the multivariate testing to the plurality of advertisement variations, compiling the user response to each of the at least one test advertisement, performing the multivariate testing on the user response, and comparing the predicted effectiveness of each of the advertisement variations.

31. The advertising system of claim 30, wherein said advertising analysis system periodically updates the effective advertisement periodically to account for any changing conditions within the relevant advertising domain.