Architecture and methods for promotion optimization

• US 9,984,387 B2
• Filed: 03/13/2014
• Issued: 05/29/2018
• Est. Priority Date: 03/13/2013
• Status: Active Grant

• Current Assignee: Maplebear Inc.
• Original Assignee: Eversight, Inc. (Maplebear Inc.)
• Inventors: Moran, David
• Primary Examiner(s): Brown, Luis A
• Assistant Examiner(s): Andrei, Radu
• Application Number:
  US14/209,851
• Publication Number:
  US 20140278918A1
• Time in Patent Office: 1,538 Days
• CPC Class Codes: G06F 3/0425 using a single imaging device like a video camera for tracking the absolute position of a single or a plurality of objects with respect to an imaged reference surface, e.g. video camera imaging a display or a projection screen, a table or a wall surface, on which a computer generated image is displayed or projected tracking a projected light spot to determine a position on a display surface G06F3/0386
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0244 Optimization
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: G06T 1/0021 Image watermarking
• CPC Class Codes: G06T 1/0064 Geometric transfor invariant watermarking, e.g. affine transform invariant
• CPC Class Codes: G06T 19/006 Mixed reality object pose determination, tracking or camera calibration for mixed reality G06T7/00
• CPC Class Codes: G06T 3/02 Affine transformations for image registration G06T3/147; for image mosaicing G06T3/4038
• CPC Class Codes: H04N 21/41415 involving a public display, viewable by several users in a public space outside their home, e.g. movie theatre, information kiosk
• CPC Class Codes: H04N 21/8358 involving watermark protecting executable software by watermarking G06F21/16; image watermarking in general G06T1/0021; watermarks inserted in still images for transmission purposes H04N1/32144; inserting watermarks during video coding H04N19/467

Abstract

Methods and apparatus for implementing forward looking optimizing promotions by administering, in large numbers and iteratively, test promotions formulated using highly granular test variables on purposefully segmented subpopulations. The responses from individuals in the subpopulations are received and analyzed. The analysis result is employed to subsequently formulate a general public promotion. The test promotions may be repeated continually and iteratively with different test promotions and/or different subpopulations to continue to uncover advantageous correlations between segmentation criteria, test promotion variables, and consumer response and/or to keep up with consumer changing taste.

Claims

1. A computer implemented promotion-optimization method that is performed by a promotion optimization system, containing, a correlation engine, a promotion module, an administration module, and a monitoring module, the method comprising:

randomly selecting test promotion variables;

generating a plurality of test promotions using the randomly selected test promotion variables;

administering the plurality of test promotions to a plurality of segmented subpopulations of consumers in a testing time period, wherein the testing time period includes concurrent testing of the plurality of test promotions;

obtaining responses from said segmented subpopulations of consumers, wherein the responses include action types, and wherein the action types include a consumer redeeming the test promotion, the consumer saving the test promotion and the consumer forwarding the test promotion to another consumer;

assigning a first weight as a score for the test promotion variables of test promotions which have the action type of redeeming the test promotion;

assigning a second weight, that is less than the first weight, as a score for the test promotion variables of test promotions which have the action type of saving the test promotion;

assigning a third weight as a score for the test promotion variables of test promotions which have the action type of forwarding the test promotion;

ascertaining successful test promotion variables from the randomly selected test promotion variables by statistically correlating the highest weight scores with the test promotion variables;

combining the successful test promotion variables with other test promotion variables to generate another plurality of test promotions;

iteratively administering the another plurality of test promotions where promotional test variables are arranged in different combinations in each iteration, wherein the successful variables are maintained and paired with new test variables in subsequent iterations until a set of successful variables is identified; and

including the set of successful variables in a general population promotion.

2. The computer-implemented method of claim 1 wherein said plurality of test promotions is administered iteratively to said plurality of segmented subpopulations of consumers.

3. The computer-implemented method of claim 1 wherein said responses are received via smart phones.

4. The computer-implemented method of claim 1 wherein each test promotion involves a plurality of variables, said plurality of test promotions involve different permutations of values for said plurality of variables.

5. The computer-implemented method of claim 1 wherein a winning variable value in a test promotion is retested in another test promotion in combination with different variable values for variables other than a variable associated with said winning variable value.

6. The computer-implemented method of claim 1 wherein said plurality of segmented populations represent users of online social media.

7. The computer-implemented method of claim 1 wherein said plurality of test promotions are automatically generated.

8. The computer-implemented method of claim 1 wherein said plurality of segmented populations represents purposefully segmented subpopulations.

9. The computer-implemented method of claim 1 wherein said test promotion represents an electronic coupon.

10. The computer-implemented method of claim 9 wherein said electronic coupon is presented in an online account.

11. The computer-implemented method of claim 10 wherein said online account represents an individual consumer'"'"'s account.

12. The computer-implemented method of claim 1 further comprising:

employing at least one response from said responses in generating follow-up test promotions, said follow-up test promotions being part of said plurality of test promotions.

13. The computer-implemented method of claim 1 wherein a follow-up test promotion includes at least two winning values from two different previous test promotions, said follow-up test promotion being part of said plurality of test promotions.

14. The computer-implemented method of claim 1 wherein said test promotion is transmitted to at least one consumer of said plurality of segmented populations of consumers as part of an email.

15. The computer-implemented method of claim 1 wherein said test promotion is an electronic coupon to be displayed on a smart phone for redemption.

16. A computer implemented promotion-optimization method that is performed by a promotion optimization system, containing, a correlation engine, a promotion module, an administration module, and a monitoring module, the method comprising:

randomly selecting test promotion variables;

generating a plurality of test promotions using the randomly selected test promotion variables;

administering the plurality of test promotions to a plurality of segmented subpopulations of consumers in a testing time period, wherein the testing time period includes concurrent testing of the plurality of test promotions;

obtaining responses from said segmented subpopulations of consumers, wherein the responses include action types, and wherein the action types include a consumer redeeming the test promotion, the consumer saving the test promotion and the consumer forwarding the test promotion to another consumer;

assigning a first weight as a score for the test promotion variables of test promotions which have the action type of redeeming the test promotion;

assigning a second weight, that is less than the first weight, as a score for the test promotion variables of test promotions which have the action type of saving the test promotion;

assigning a third weight as a score for the test promotion variables of test promotions which have the action type of forwarding the test promotion;

ascertaining successful test promotion variables from the randomly selected test promotion variables by statistically correlating the highest weight scores with the test promotion variables;

combining the successful test promotion variables with other test promotion variables to generate another plurality of test promotions;

iteratively administering the another plurality of test promotions where promotional test variables are arranged in different combinations in each iteration, wherein the successful variables are maintained and paired with new test variables in subsequent iterations until a set of successful variables is identified;

including the set of successful variables in a general population promotion; and

wherein at least one of said plurality of test promotions are generated responsive to responses obtained from a given test promotion, said given test promotion being part of said plurality of test promotions, said given test promotion occurs earlier in time than said at least one of said plurality of test promotions.

17. The computer-implemented method of claim 16 wherein each test promotion involves a plurality of variables, said plurality of test promotions involve different permutations of values for said plurality of variables.

18. The computer-implemented method of claim 16 wherein a winning variable value in a test promotion is retested in another test promotion in combination with different variable values for variables other than a variable associated with said winning variable value.

19. The computer-implemented method of claim 16 wherein said test promotion is transmitted to at least one consumer of said plurality of segmented populations of consumers as part of an email.

20. The computer-implemented method of claim 16 wherein said test promotion is an electronic coupon to be displayed on a smart phone for redemption.