METHOD AND APPARATUS FOR PERSONALIZED MARKETING

• US 20130231999A1
• Filed: 08/29/2012
• Published: 09/05/2013
• Est. Priority Date: 08/30/2011
• Status: Abandoned Application

• Current Assignee: PaeDae, Inc.
• Original Assignee: PaeDae, Inc.
• Inventors: EMRICH, ROBERT, SAMUEL, GOLDBERG
• Application Number:
  US13/598,547
• Publication Number:
  US 20130231999A1
• Time in Patent Office: Days
• US Class Current: 705/14.43
• CPC Class Codes: G06Q 30/0271 Personalized advertisement

Abstract

The system provides personalized marketing combined with the satisfaction of gamified applications and playing games, which provides a unique offer presentation entertainment solution with the computer implemented capacity to personalize offers. The system includes a learning module that collects data and behavioral information from each user and customizes advertising, offers, and even application utility/play for the user. Over time, the system provides interaction with the user that provides consumer opportunities that are more likely to be accepted by the user.

Claims

1. A method of delivering an offer to a user comprising:

Using a processing system,

Providing an entertainment to the user;

Retrieving a personalization profile of the user;

Using the personalization profile to identify at least one offer that is optimized for the personalization profile;

Presenting the offer to the user in connection with the entertainment.

2. The method of claim 1 wherein the entertainment is a computer game.

3. The method of claim 1 wherein the entertainment is an application.

4. The method of claim 1 wherein the entertainment is digital media content.

5. The method of claim 1 wherein the entertainment is provided via a browser.

6. The method of claim 1 wherein the entertainment is provided via an application.

7. The method of claim 1 wherein the entertainment is provided via a game console.

8. The method of claim 1 wherein the offer is an advertisement.

9. The method of claim 1 wherein the offer is a deal.

10. The method of claim 1 wherein the offer is a promotional item.

11. The method of claim 1 wherein the entertainment is in the physical world.

12. The method of claim 11 wherein the entertainment is a casino style game.

13. The method of claim 1 wherein the personalization profile includes geo-location information.

14. The method of claim 1 wherein the personalization profile includes information provided by the user

15. The method of claim 1 wherein the personalization profile includes social media data of the user.

16. The method of claim 1 wherein the personalization profile includes historical data of the user interacting with the processing system.

17. The method of claim 16 wherein the historical data includes risk preferences of the user.

18. The method of claim 16 wherein the historical data includes the user'"'"'s propensity to share offers with others.

19. The method of claim 1 wherein the personalization profile includes data from a device used by the user.

20. The method of claim 19 wherein the device comprises computerized smart glasses.

21. The method of claim 19 wherein the device comprises a computerized smart vehicle

22. The method of claim 19 wherein the device comprises smart utensils.

23. The method of claim 19 wherein the device comprises a mobile device.

24. The method of claim 1 wherein the offer is presented in response to an event in the entertainment.

25. The method of claim 24 wherein the event is an achievement.

26. The method of claim 1 wherein parameters of the offer are conditional on user interaction with the entertainment.

27. The method of claim 1 further including inserting product placement in the entertainment.

28. The method of claim 27 wherein the product placement to be inserted is based on the personalization profile of the user.

29. The method of claim 1 wherein presenting the offer is conditional on an automated verification of offer validity.

30. A method of generating an offer comprising:

In a processing system;

Receiving demographic target data from an advertiser;

Comparing the demographic target data with historical data associated with the demographic target data;

Identifying the most successful offers from the historical data associated with the demographic target data;

Presenting the most successful offers to the advertiser.

31. The method of claim 30 wherein the historical data includes the type of offer presented.

32. The method of claim 30 wherein the demographic target data includes at least one of gender, geographic location, age range, and risk preference.

33. The method of claim 30 further including generating a plurality of offers that are presented to the user pursuant to a dynamic sorting process.

34. The method of claim 33 wherein the dynamic sorting process is such that the same offer is not presented within the same session to the same user.

35. The method of claim 30 wherein the historical data includes positive correlation between categories and offers accepted by the user.