METHODS AND SYSTEMS FOR DELIVERING TARGETED ADVERTISEMENTS

• US 20090307048A1
• Filed: 06/04/2008
• Published: 12/10/2009
• Est. Priority Date: 06/04/2008
• Status: Abandoned Application

• Current Assignee: Jordan Ian Grossman
• Original Assignee: Jordan Ian Grossman
• Inventors: Grossman, Jordan Ian
• Application Number:
  US12/133,357
• Publication Number:
  US 20090307048A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0251 Targeted advertisements

Abstract

A recipient'"'"'s viewing or listening attentiveness to an advertisement is identified and subsequent advertisements are targeted to the recipient responsive to the recipient'"'"'s attentiveness. The recipient may be a viewer or a listener of an advertisement, such as a television commercial. While the recipient is viewing or listening to an advertisement, if the recipient fast-forwards through or interrupts the advertisement, then a subsequent advertisement is chosen that has a higher probability of being viewed in its entirety. Thus, the advertisements are targeted toward the recipient based on the recipient'"'"'s attentiveness to certain types of the advertisements. This increases the probability that the recipient will watch an entire advertisement, making the advertisement more effective.

Claims

1. A method in a data processing system having a program for targeting advertisements to a recipient, the method comprising the steps of:

presenting an advertisement of a plurality of advertisements to the recipient;

determining whether the recipient one of interrupts and fast-forwards through at least a portion of the advertisement; and

identifying a subsequent advertisement responsive to the recipient one of interrupting and fast-forwarding through at least a portion of the advertisement.

2. The method of claim 1, further comprising the step of:

presenting the subsequent advertisement to the recipient.

3. The method of claim 1, wherein identifying the advertisement is performed using at least one of grouping, segmentation, latent class analysis, cluster analysis, regression, tailored interviews, and neural networking.

4. The method of claim 1, wherein the advertisement includes at least one of audio and video.

5. The method of claim 1, wherein the advertisement is presented to the user via one of the World Wide Web (WWW), cable television, a cellular communication, fiber-based communication, and a satellite communication.

6. The method of claim 1, wherein the step of identifying the subsequent advertisement includes ranking the advertisement relative to other advertisements based on the advertisements probability of being viewed in its entirety by the recipient.

7. A computer-readable medium containing instructions that cause a program in a data processing system having a program to perform a method for targeting advertisements to a recipient, the method comprising the steps of:

presenting an advertisement of a plurality of advertisements to the recipient;

determining whether the recipient one of interrupts and fast-forwards through at least a portion of the advertisement; and

identifying a subsequent advertisement responsive to the recipient one of interrupting and fast-forwarding through at least a portion of the advertisement.

8. The computer-readable medium of claim 7, further comprising the step of:

presenting the subsequent advertisement to the recipient.

9. The computer-readable medium of claim 7, wherein identifying the advertisement is performed using at least one of grouping, segmentation, latent class analysis, cluster analysis, regression, tailored interviews, and neural networking.

10. The computer-readable medium of claim 7, wherein the advertisement includes at least one of audio and video.

11. The computer-readable medium of claim 7, wherein the advertisement is presented to the user via one of the World Wide Web (WWW), cable television, a cellular communication, fiber-based communication, and a satellite communication.

12. The computer-readable medium of claim 7, wherein the step of identifying the subsequent advertisement includes ranking the advertisement relative to other advertisements based on the advertisements probability of being viewed in its entirety by the recipient.

13. A data processing system for targeting advertisements to a recipient comprising:

a memory having a program that

presents an advertisement of a plurality of advertisements to the recipient;

determines whether the recipient one of interrupts and fast-forwards through at least a portion of the advertisement; and

identifies a subsequent advertisement responsive to the recipient one of interrupting and fast-forwarding through at least a portion of the advertisement.

14. The data processing system of claim 13, further comprising the step of:

presenting the subsequent advertisement to the recipient.

15. The data processing system of claim 13, wherein identifying the advertisement is performed using at least one of grouping, segmentation, latent class analysis, cluster analysis, regression, tailored interviews, and neural networking.

16. The data processing system of claim 13, wherein the advertisement includes at least one of audio and video.

17. The data processing system of claim 13, wherein the advertisement is presented to the user via one of the World Wide Web (WWW), cable television, a cellular communication, fiber-based communication, and a satellite communication.

18. The data processing system of claim 13, wherein the step of identifying the subsequent advertisement includes ranking the advertisement relative to other advertisements based on the advertisements probability of being viewed in its entirety by the recipient.