Method and system for placing offers using randomization

• US 20030225620A1
• Filed: 03/13/2003
• Published: 12/04/2003
• Est. Priority Date: 03/13/2002
• Status: Abandoned Application

• Current Assignee: University of Phoenix Incorporated
• Original Assignee: Aptimus, Inc. (Apollo Education Group, Inc.)
• Inventors: Nelson, Lance, Ramirez, Michael, Melton, Brett, Penner, Ryan
• Application Number:
  US10/390,570
• Publication Number:
  US 20030225620A1
• Time in Patent Office: Days
• US Class Current: 705/14
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0239 Online discounts or incentives
• CPC Class Codes: G06Q 30/0257 User requested
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

The present invention provides a system where offers are placed on network accessible sites or delivered to consumers over a network. Placement data is used to obtain offers that share at least one category with placements of offers for consumers. Each offer has a placement value for placement. The offers are randomized by forming randomized placement values for the placement. These randomized placement values are calculated by adding a random factor ranging up to at least the value of the highest placement value to each of the offers'"'"' placement values. The offer with the highest randomized placement value is then placed for viewing, or receipt, by the consumer.

Claims

1. A computer implemented method of placing an offer on a network accessible site, the method comprising:

obtaining placement data for an offer placement, including placement information;

obtaining a plurality of offers using said placement data, each having offer information corresponding to said placement information and a placement value for said offer placement;

randomizing placement values by varying each of said offers'"'"' placement values by a random factor; and

placing the offer with the highest randomized placement value on network accessible site.

2. The method of claim 1, wherein said offer placement includes a plurality of slots, each slot for an offer.

3. The method of claim 2, wherein said random factor is added to each of said offers'"'"' placement values and increases in inverse relation to the number of said slots.

4. The method of claim 2, wherein said offers are placed in said slots in the order of their randomized placement values.

5. The method of claim 1, further comprising determining a highest placement value of said placement values.

6. The method of claim 5, wherein said random factors are within the range of substantially zero to substantially said highest placement value.

7. The method of claim 5, wherein said random factors are within the range of substantially zero to a value more than said highest placement value.

8. The method of claim 1, wherein said placement data further includes consumer target data.

9. A computer readable medium, containing computer executable instructions for performing the method of any of claims 1-8.

10. A computing apparatus including a processor and a memory having computer executable instructions, and operative to execute the computer executable instructions with said processor to perform the method of any of claims 1-8.

19. The method of claim 5, wherein said offers further comprise placement values and said random factors are substantially within the range of zero to a highest placement value.

20. The method of claim 5, wherein said offers further comprise placement values and said random factors are substantially within the range of zero to a value more than a highest placement value.

11. A computer implemented method of sending an offer to a consumer over a network, the method comprising:

obtaining a plurality of offers, each offer having offer information corresponding to one or some consumer information;

calculating a weighted offer value for each of said offers;

randomizing weighted offer values by varying each weighted offer value by a random factor; and

sending the offer with the highest randomized weighted offer value to the consumer.

12. The method of claim 11, wherein said offers are obtained using consumer target data.

13. The method of claim 11, wherein said offers are obtained from a remote database.

14. The method of claim 11, wherein said weighted offer value is calculated based on the number of offer opens.

15. The method of claim 11, wherein said weighted offer value is calculated based on the number of offer clicks.

16. The method of claim 11, wherein said weighted offer value is calculated based on the number of offer orders.

17. The method of claim 11, wherein said weighted offer value is calculated based on any added value from a related offer.

18. The method of claim 11, wherein said weighted offer value is calculated based on a time of placement.

21. A computer readable medium, containing computer executable instructions for performing the method of any of claims 11-20.

22. A computing apparatus including a processor and a memory having computer executable instructions, and operative to execute the computer executable instructions with said processor to perform the method of any of claims 11-20.

23. A computer implemented method of placing an offer for receipt by a consumer, the method comprising:

obtaining data for placing the offer, including placement information;

obtaining a plurality of offers using said data, each having offer information corresponding to said placement information and a placement value for placing each offer;

adjusting the placement of said offers by varying said placement value of each of said offers by an indeterminate amount; and

placing an offer selected from the others with varied placement values.

24. The method of claim 23, wherein the offer is a viewed offer.

25. The method of claim 23, wherein the offer is a delivered offer.

26. The method of claim 23, wherein placement value is periodically updated.