METHOD AND SYSTEM FOR ADAPTIVE OFFER DETERMINATION

• US 20110029362A1
• Filed: 04/26/2010
• Published: 02/03/2011
• Est. Priority Date: 07/29/2009
• Status: Active Grant

• Current Assignee: shopkick, Inc. (SK Telecom Co., Ltd.)
• Original Assignee: shopkick, Inc. (SK Telecom Co., Ltd.)
• Inventors: Emigh, Aaron T., Roeding, Cyriac
• Granted Patent: US 9,159,066 B2
• Time in Patent Office: Days
• US Class Current: 705/14.13
• CPC Class Codes: G01S 5/02 using radio waves using satellite radio beacon systems for determining position G01S19/00
• CPC Class Codes: G01S 5/0257 Hybrid positioning by coordinating position lines of different shape G01S5/12
• CPC Class Codes: G01S 5/0295 Proximity-based methods, e.g. position inferred from reception of particular signals
• CPC Class Codes: G01S 5/18 using ultrasonic, sonic, or infrasonic waves
• CPC Class Codes: G06Q 20/3224 Transactions dependent on location of M-devices
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0211 Determining the effectiveness of discounts or incentives
• CPC Class Codes: G06Q 30/0214 Referral reward systems
• CPC Class Codes: G06Q 30/0217 involving input on products or services in exchange for incentives or rewards
• CPC Class Codes: G06Q 30/0224 based on user history
• CPC Class Codes: G06Q 30/0226 Incentive systems for frequent usage, e.g. frequent flyer miles programs or point systems
• CPC Class Codes: G06Q 30/0238 at point-of-sale [POS]
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06V 2201/08 Detecting or categorising vehicles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/20 Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
• CPC Class Codes: H04W 4/30 : Services specially adapted for particular environments, situations or purposes
• CPC Class Codes: H04W 4/33 : for indoor environments, e.g. buildings

Abstract

The optimization system monitors a mobile phone user'"'"'s behavior in response to an offer for a reward and determines a good level for a product promotion. The determination may be made based upon the user'"'"'s current response, past response patterns to various reward levels or a correlation between a user'"'"'s behavior and the behavior corresponding to a class of users. The system can determine an offer level that maximizes the return on the profit or revenue from a potential purchase for which the offer applies.

Claims

1. A method for providing an adaptive offer, comprising:

providing a first offer to a first user via a first mobile phone, wherein the first offer relates to a first activity involving a retail store, wherein the first offer has a first value, wherein the first value is less than a second value;

determining a first user response to the first offer, wherein the first user response indicates that the first user has not redeemed the first offer;

providing a second offer to a second user via a second mobile phone, wherein the second offer relates to a second activity involving the retail store, wherein the second offer has a second value, wherein the second value is greater than the first value;

determining a second user response to the second offer, wherein the second user response indicates that the second user has redeemed the second offer;

determining a third value responsive to determining that the second user has redeemed the second offer and that the first user has not redeemed the first offer, wherein the third value is greater than the first value and wherein the third value is less than the second value; and

providing a third offer to a third user via a third mobile phone, wherein the third offer relates to a third activity involving the retail store, wherein the third offer has the third value.

2. The method of claim 1, wherein the first user, the second user, and the third user are the same.

3. The method of claim 1, further comprising determining that the first user, the second user, and the third user are similar.

4. The method of claim 3, wherein determining that the first user, the second user, and the third user behavior are similar includes correlating the respective behavior of the first user, the second user, and the third user.

5. The method of claim 1, wherein the first activity, the second activity, and the third activity are the same.

6. The method of claim 1, wherein the first activity, the second activity, and the third activity include physical presence at the retail store.

7. The method of claim 6, wherein the physical presence at the retail store is detected by detecting an ultrasonic signal.

8. The method of claim 6, wherein the physical presence at the retail store is detected by scanning a barcode.

9. The method of claim 6, wherein the physical presence at the retail store is detected via WiFi.

10. The method of claim 6, wherein the physical presence at the retail store is detected via GPS.

11. The method of claim 1, wherein the first offer, the second offer, and the third offer have a similar weighted matching score relating to the first user, the second user, and the third user respectively.

12. The method of claim 1, wherein the first offer, the second offer, and the third offer include respective awards of points, wherein the first value relates to a first number of points, the second value relates to a second number of points, and the third value relates to a third number of points.

13. The method of claim 1, wherein the first offer, the second offer, and the third offer include respective discounts, wherein the first value relates to a first discount amount, the second value relates to a second discount amount, and the third value relates to a third discount amount.

14. The method of claim 13, wherein the first discount amount, the second discount amount, and the third discount amount are monetary values.

15. The method of claim 13, wherein the first discount amount, the second discount amount, and the third discount amount are percentages.

16. The method of claim 1, wherein the third value is determined by optimizing a function relating to an expected profit relating to the third offer.

17. The method of claim 1, wherein the third value is determined by optimizing a function relating to an expected revenue relating to the third offer.

18. The method of claim 1, further comprising:

determining a fourth value, wherein the fourth value is greater than the third value and wherein the fourth value is less than the second value;

providing a fourth offer to a fourth user via a fourth mobile phone, wherein the fourth offer relates to the third activity involving the retail store, wherein the fourth offer has the fourth value;

determining a third user response relating to the third offer;

determining a fourth user response relating to the fourth offer; and

comparing the third user response to the fourth user response.

19. A computer program product, comprising a computer usable storage medium having a computer readable program code embodied therein, the computer readable program code adapted to be executed to implement a method for presenting an offer at a mobile phone, the method comprising:

providing a first offer to a first user via a first mobile phone, wherein the first offer relates to a first activity involving a retail store, wherein the first offer has a first value, wherein the first value is less than a second value;

determining a first user response to the first offer, wherein the first user response indicates that the first user has not redeemed the first offer;

providing a second offer to a second user via a second mobile phone, wherein the second offer relates to a second activity involving the retail store, wherein the second offer has a second value, wherein the second value is greater than the first value;

determining a second user response to the second offer, wherein the second user response indicates that the second user has redeemed the second offer;

responsive to determining that the second user has redeemed the second offer and that the first user has not redeemed the first offer, determining a third value, wherein the third value is greater than the first value and wherein the third value is less than the second value; and

providing a third offer to a third user via a third mobile phone, wherein the third offer relates to a third activity involving the retail store, wherein the third offer has the third value.

20. A system for providing an adaptive offer, comprising:

a processor configured to;

provide a first offer to a first user via a first mobile phone, wherein the first offer relates to a first activity involving a retail store, wherein the first offer has a first value, wherein the first value is less than a second value;

determine a first user response to the first offer, wherein the first user response indicates that the first user has not redeemed the first offer;

provide a second offer to a second user via a second mobile phone, wherein the second offer relates to a second activity involving the retail store, wherein the second offer has a second value, wherein the second value is greater than the first value;

determine a second user response to the second offer, wherein the second user response indicates that the second user has redeemed the second offer;

determine a third value responsive to determining that the second user has redeemed the second offer and that the first user has not redeemed the first offer, wherein the third value is greater than the first value and wherein the third value is less than the second value; and

provide a third offer to a third user via a third mobile phone, wherein the third offer relates to a third activity involving the retail store, wherein the third offer has the third value; and

a memory coupled with the processor, wherein the memory provides instructions to the processor.