AUTOMATED BEHAVIORAL ECONOMICS PATTERNS IN PROMOTION TESTING AND METHODS THEREFOR

• US 20140330637A1
• Filed: 03/31/2014
• Published: 11/06/2014
• Est. Priority Date: 03/13/2013
• Status: Active Grant

• Current Assignee: Maplebear Inc.
• Original Assignee: Eversight, Inc. (Maplebear Inc.)
• Inventors: Moran, David, Montero, Michael
• Granted Patent: US 10,140,629 B2
• Time in Patent Office: Days
• US Class Current: 705/14.43
• 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 plurality of test promotions are associated with at least one behavioral economics principles. The responses from individuals in the subpopulations are received and analyzed. The analysis result is employed to subsequently formulate a general public promotion.

Claims

1. A computer-implemented method for performing promotion optimization, comprising:

generating a plurality of test promotions;

administering the plurality of test promotions to a plurality of segmented subpopulations of consumers;

obtaining responses from said segmented subpopulations of consumers; and

generating a general population promotion responsive to analysis of said responses, wherein the plurality of test promotions are associated with at least one behavioral economics principles.