Method and system for advertising and data mining as a part of a marketing and sales program for universal critical life stage decision support

• US 20090048907A1
• Filed: 08/12/2008
• Published: 02/19/2009
• Est. Priority Date: 08/13/2007
• Status: Abandoned Application

• Current Assignee: Universal Pessage Incorporated
• Original Assignee: Universal Passage Incorporated
• Inventors: Lieberman, Barry
• Application Number:
  US12/228,333
• Publication Number:
  US 20090048907A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06F 16/90335 Query processing
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0204 Market segmentation

Abstract

A method for providing advertising and data mining as a part of a marketing and sales program for universal critical life stage decision support. Methods or computer programs are used for collecting a person'"'"'s true or prophetic biographical and goal-related data. Such data is used in the creation of a mathematical representation of a profile. Similar profiles are created by various goods or service providers. Methods or computer programs are used for creating mathematical, multi-axis objects that match a person'"'"'s articulated or implied life goals to one or more goods or service providers. Targeted advertisements are presented to the person, and the person'"'"'s responses are recorded. Correlation between the presentation of advertisements and the recorded actions are included in reaction calculations. Neither the patentee nor the USPTO intends for details set forth in this abstract to constitute limitations to claims not explicitly reciting those details.

Claims

1. A method for advertising and data mining as a part of a marketing and sales program for universal critical life stage decision support comprising:

collecting user input to create provider profiles and member profiles;

creating multi-axis match objects from the provider profiles and member profiles;

applying heuristics to create implied multi-axis match objects from the provider and member profiles;

filtering, scoring and selecting a selection set of matches from among a candidate set containing the multi-axis match objects and the implied multi-axis match objects;

presenting said selection set of matches to a user;

presenting at least one selected advertisement to a user;

recording user human interface action; and

correlating between said presentation of selected advertisement and said user human interface action.

2. The method of claim 1, wherein said collecting user input to create provider profiles and member profiles includes using a screen device for self diagnosis.

3. The method of claim 1, wherein collecting user input to create provider profiles and member profiles includes presentation of a screen area for presenting an advertisement.

4. The method of claim 3, wherein the advertisement is selected on the basis of specific characteristics of the member profile.

5. The method of claim 1, wherein collecting user input to create provider profiles and member profiles includes a screen area presenting at least one of, a provider directory, a provider search window.

6. The method of claim 1, wherein said filtering, scoring and selecting includes selection of characteristics from a table.

7. The method of claim 6, wherein said selection of characteristics defines a query.

8. The method of claim 6, wherein said selection of characteristics defines a market basket of characteristics.

9. The method of claim 1, wherein presenting selected advertisements to a user includes selection from the provider'"'"'s enabled advertising campaigns.

10. The method of claim 1, wherein presenting selected advertisements to a user includes a screen device adapted for user input of opt-in indications.

11. The method of claim 10, wherein said screen device adapted for user input of opt-in indications includes at least one question constructed from user profile data.

12. The method of claim 1, wherein recording user human interface action includes at least one of, a mouse click, a user response to a presented question, a successful download, an indication of a promotion code, a payment.

13. The method of claim 1, wherein said correlating includes selection of at least one next action in an advertising campaign.

14. The method of claim 13, wherein said selection of at least one next action in an advertising campaign includes presentation of a targeted advertisement.

15. The method of claim 13, wherein said selection of at least one next action in an advertising campaign includes mining a member database.

16. The method of claim 13, wherein said selection of at least one next action in an advertising campaign includes selection based on results of a state machine.

17. The method of claim 1, wherein said correlating further comprises calculation of a micro-payment.

18. The method of claim 1, wherein said correlating further comprises generation of at least one correlation report.

19. An apparatus for advertising and data mining as a part of a marketing and sales program for universal critical life stage decision support comprising:

an execution unit for collecting user input to create provider profiles and member profiles;

an execution unit for creating multi-axis match objects from the provider profiles and member profiles;

an execution unit for applying heuristics to create implied multi-axis match objects from the provider and member profiles;

an execution unit for filtering, scoring and selecting a selection set of matches from among a candidate set containing the multi-axis match objects and the implied multi-axis match objects;

an execution unit for presenting said selection set of matches to a user

an execution unit for presenting selected advertisements to a user;

an execution unit for recording user human interface action; and

an execution unit for correlating between said presentation of selected advertisement and said user human interface action.

20. A computer program product embodied on a tangible computer readable medium for advertising and data mining as a part of a marketing and sales program for universal critical life stage decision support comprising:

computer code for collecting user input to create provider profiles and member profiles;

computer code for creating multi-axis match objects from the provider profiles and member profiles;

computer code for applying heuristics to create implied multi-axis match objects from the provider and member profiles;

computer code for filtering, scoring and selecting a selection set of matches from among a candidate set containing the multi-axis match objects and the implied multi-axis match objects;

computer code for presenting said selection set of matches to a user

computer code for presenting selected advertisements to a user;

computer code for recording user human interface action; and

computer code for correlating between said presentation of selected advertisement and said user human interface action.