WAGERING GAME ESTABLISHMENT OFFER TAILORING

• US 20120157191A1
• Filed: 08/24/2010
• Published: 06/21/2012
• Est. Priority Date: 08/25/2009
• Status: Active Grant

• Current Assignee: LNW Gaming Incorporated
• Original Assignee: WMS Gaming Incorporated (Scientific Games Corporation)
• Inventors: Burke, Mary M., Jaffe, Joel R., Joshi, Shridhar P., Louie, Daniel P., Ward, Matthew J., Yarger, Brian L.
• Granted Patent: US 9,378,609 B2
• Time in Patent Office: Days
• US Class Current: 463/25
• CPC Class Codes: G07F 17/32 for games, toys, sports, or amusements
• CPC Class Codes: G07F 17/3237 about the players, e.g. profiling, responsible gaming, strategy/behavior of players, location of players
• CPC Class Codes: G07F 17/3255 Incentive, loyalty and/or promotion schemes, e.g. comps, gaming associated with a purchase, gaming funded by advertisements

Abstract

A system determines that current wagering game establishment activity data of a user satisfies wagering game establishment offer evaluation criteria (401). The system accesses, over a network, past activity data of the user at least partially in response to determining that the current wagering game establishment activity data of the user satisfies the wagering game establishment offer evaluation criteria (403). The system analyzes the past activity data based, at least in part, on a desired effect and the current wagering game establishment activity data (405). The system computes likelihood that at least one of a set of offers can achieve the desired effect based on the analysis result (407). The system selects a first of the set of offers based, at least in part, on determining the likelihood that at least one of the set of offers can achieve the desired effect (409). The system presents the selected first offer to the user (413).

Claims

1. A method comprising:

determining that current wagering game establishment activity data of a user satisfies wagering game establishment offer evaluation criteria;

accessing, over a network, past activity data of the user at least partially in response to said determining that the current wagering game establishment activity data of the user satisfies the wagering game establishment offer evaluation criteria;

analyzing the past activity data based, at least in part, on a desired effect and the current wagering game establishment activity data to generate an analysis result;

computing likelihood that at least one of a set of offers can achieve the desired effect based, at least in part, on the analysis result;

selecting a first of the set of offers based, at least in part, on said determining the likelihood that at least one of the set of offers can achieve the desired effect; and

presenting the selected first offer to the user.

2. The method of claim 1, wherein said determining the likelihood that at least one of the set of offers can achieve the desired effect based, at least in part, on the analysis result comprises:

computing confidence values for the set of offers based on the desired effect and the analysis result, wherein the confidence values represent the likelihood that respective ones of set of offers can achieve the desired effect if provided.

3. The method of claim 2, wherein said selecting the first of the set of offers comprises determining that the first of the set of offers has a greatest of the confidence values.

4. The method of claim 3 further comprising determining that a first of the set of confidence values exceeds a confidence value threshold, wherein the first confidence value corresponds to the first offer.

5. The method of claim 1, wherein said analyzing the past activity data based, at least in part, on a desired effect and the current wagering game establishment activity data to generate the analysis result comprises:

determining a plurality of same or similar series of wagering game establishment activities in the past activity data that suggest a pattern of activity; and

determining if the pattern of activity correlates with the desired effect in a context of the current wagering game establishment activity data.

6. The method of claim 1, wherein said analyzing the past activity data based, at least in part, on a desired effect and the current wagering game establishment activity data to generate the analysis result comprises applying a heuristic to the past activity data and the current wagering game establishment activity data.

7. The method of claim 1 further comprising modifying the first offer based, at least in part, on the analysis result to increase the likelihood that the first offer can achieve the desired effect.

8. The method of claim 7 further comprising determining that the likelihood that the first offer can achieve the desired effect is insufficient, wherein said modifying the first offer is in response to said determining that the likelihood that the first offer can achieve the desired effect is insufficient.

9. The method of claim 1, wherein the current wagering game establishment activity data and the past activity data comprises at least one of wagering game data and non-wagering game data.

10. The method of claim 9, wherein the non-wagering game data comprises at least one of purchasing data, lodging data, companion data, preferred beverage data, preferred food data, and entertainment data.

11. The method of claim 1 further comprising:

determining a set of players associated with the user based, at least in part, on the past activity data of the user;

accessing the past activity data of the set of players;

analyzing the past activity data of the set of players and current wagering game establishment activity data of the set of players;

for each of the set of players, computing a likelihood that the first of the set offers will achieve a second desired effect; and

presenting the first of the set of offers to those of the set of players with the likelihood that the first of the set of offers can achieve the second desired effect that surpasses an offer threshold.

12. The method of claim 11, wherein the second desired effect comprises participating in a tournament with the user.

13. A method comprising:

analyzing past wagering game establishment activity data of a user in a context of current wagering game establishment activity data of the user and based, at least in part, on a desired offer effect in response to satisfaction of offer evaluation criteria by the current wagering game establishment activity data;

selecting a plurality of offer elements based, at least in part, on said analyzing;

building an offer with a likelihood to achieve the desired offer effect, wherein the offer is built with the plurality of offer elements; and

presenting the offer to the user.

14. The method of claim 13 further comprising determining that the likelihood surpasses a likelihood threshold for presenting the offer.

15. The method of claim 13 further comprising:

determining that the likelihood of the offer to achieve the desired offer effect is insufficient; and

changing at least one of the plurality of offer elements used to build the offer to increase the likelihood that the offer can achieve the desired effect.

16. The method of claim 13 further comprising detecting satisfaction of the offer evaluation criteria by the current wagering game establishment activity data.

17. An apparatus comprising:

a processor;

a machine-readable medium;

means for analyzing past wagering game establishment activity data of at least one user in a context of current wagering game establishment activity data of the at least one user; and

means for computing that a first offer will have a greater likelihood of achieving a desired effect than a second offer based, at least in part, on output of the analyzing means.

18. The apparatus of claim 17 further comprising modifying the first offer to increase the likelihood of the first offer to achieve the desired offer effect.

19. The apparatus of claim 17, wherein the first offer comprises at least one of access to a level in a wagering game, an accomplishment in a wagering game, a beverage related offer, a food related offer, an entertainment related offer, invitation to an impromptu tournament, a preview of a wagering game, access to an early release of a wagering game, and free plays of a wagering game.

20. The apparatus of claim 17 further comprising means for presenting the first offer to a user.

21. One or more machine-readable media having instructions which, when executed by a processor, cause the processor to perform operations that comprise:

determining that current wagering game establishment activity data of a user satisfies wagering game establishment offer evaluation criteria;

accessing, over a network, past activity data of the user at least partially in response to said determining that the current wagering game establishment activity data of the user satisfies the wagering game establishment offer evaluation criteria;

analyzing the past activity data based, at least in part, on a desired effect and the current wagering game establishment activity data to generate an analysis result;

computing likelihood that at least one of a set of offers can achieve the desired effect based, at least in part, on the analysis result;

selecting a first of the set of offers based, at least in part, on said determining the likelihood that at least one of the set of offers can achieve the desired effect; and

presenting the selected first offer to the user.

22. The machine-readable media of claim 21 wherein said operation of determining the likelihood that at least one of the set of offers can achieve the desired effect based, at least in part, on the analysis result comprises:

computing confidence values for the set of offers based on the desired effect and the analysis result, wherein the confidence values represent the likelihood that respective ones of set of offers can achieve the desired effect if provided.

23. The machine-readable media of claim 22, wherein said operation of selecting the first of the set of offers comprises determining that the first of the set of offers has a greatest of the confidence values.

24. The machine-readable media of claim 23, wherein the operations further comprise determining that a first of the set of confidence values exceeds a confidence value threshold, wherein the first confidence value corresponds to the first offer.

25. The machine-readable media of claim 21, wherein said operation of analyzing the past activity data based, at least in part, on a desired effect and the current wagering game establishment activity data to generate the analysis result comprises:

determining a plurality of same or similar series of wagering game establishment activities in the past activity data that suggest a pattern of activity; and

determining if the pattern of activity correlates with the desired effect in a context of the current wagering game establishment activity data.

26. The machine-readable media of claim 21, wherein the operations further comprise modifying the first offer based, at least in part, on the analysis result to increase the likelihood that the first offer can achieve the desired effect.

27. The machine-readable media of claim 26, wherein the operations further comprise determining that the likelihood that the first offer can achieve the desired effect is insufficient, wherein said modifying the first offer is in response to said determining that the likelihood that the first offer can achieve the desired effect is insufficient.

28. The machine-readable media of claim 21, wherein the current wagering game establishment activity data and the past activity data comprises at least one of wagering game data and non-wagering game data.

29. The machine-readable media of claim 28, wherein the non-wagering game data comprises at least one of purchasing data, lodging data, companion data, preferred beverage data, preferred food data, and entertainment data.