In-store media rating system and method

• US 8,041,590 B2
• Filed: 06/18/2007
• Issued: 10/18/2011
• Est. Priority Date: 06/19/2006
• Status: Expired due to Fees

• Current Assignee: Shopper Scientist LLC
• Original Assignee: Shopper Scientist LLC
• Inventors: Sorensen, Herb, Albers, David
• Primary Examiner(s): Jeanty; Romain
• Application Number:
  US11/820,270
• Publication Number:
  US 20080005045A1
• Time in Patent Office: 1,583 Days
• Field of Search: 705/7, 705/10
• US Class Current: 705/7.11
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 99/00 Subject matter not provided for in other groups of this subclass

Abstract

In-store media rating systems and methods are provided. A disclosed method includes receiving data from a plurality of individual stores, each having an individual store floor plan including shopper accessible areas and shopper non-accessible areas, and providing a standard floor plan including a plurality of predefined sectors. The method further includes standardizing each respective individual store floor plan to produce a corresponding standardized individual store floor plan based on the standard floor plan, wherein relative location and shopper accessible area of each of the sectors in the each standardized individual store floor plan correspond to the location and shopper accessible area of a corresponding predefined sector of the standard floor plan. The method further includes producing an output including the standardized individual store floor plan.

Claims

1. A method for analyzing shopper data from a plurality of shopping environments at a shopper data analysis system, comprising:

receiving data from a plurality of individual stores each having an individual store floor plan including shopper accessible areas and shopper non-accessible areas by a data analysis device wherein the data are received from one or more data collection and transfer devices;

providing a standard floor plan including a plurality of predefined sectors having respective relative locations and shopper accessible areas where the standard floor plan is stored in memory of the data analysis device;

standardizing each respective individual store floor plan by a conversion program executable by the data analysis device to produce a corresponding standardized individual store floor plan based on the standard floor plan, each standardized individual store floor plan including the same number of sectors as the standard floor plan, the relative location and shopper accessible area of each of the sectors in each standardized individual store floor plan corresponding to the location and shopper accessible area of a corresponding predefined sector of the standard floor plan, the conversion program further executable by the data analysis device to standardize the individual store floor plan by dividing each individual floor plan into a plurality of grid areas to represent traffic points of each store, creating the same number of grid areas in the standard floor plan, mapping each grid area in the individual floor plan to each corresponding grid area in the standard floor plan so that a weighted grid area in the individual floor plan is created, the weighted grid area having an equivalent geographic location and shopper accessible area to each corresponding grid area in the standard floor plan, and defining boundary lines of each predefined sector of the individual store floor plan based on the weighted grid areas for each predefined sector; and

producing an output by the data analysis device, the output including the standardized individual store floor plan.

2. The method of claim 1, wherein, for each standardized individual floor plan, a ratio of the shopper accessible area of each sector to an entire shopper accessible area of the standardized individual store floor plan is substantially the same as a ratio of an area of a corresponding sector in the standard floor plan to the entire area of the standard floor plan.

3. The method of claim 2, wherein each individual store floor plan and the standard floor plan each comprise a grid of traffic points, and wherein standardizing each respective individual store floor plan to produce a corresponding standardized individual store floor plan, further comprises:

mapping each sector in the individual store floor plan to each corresponding sector in the standard floor plan such that each sector in the individual store floor plan has an equivalent location and ratio of shopper accessible area to a corresponding sector in the standard floor plan, the shopper accessible area of each sector being determined by the number of traffic points within the sector.

4. The method of claim 1, wherein the sectors of the standard floor plan have substantially equal area.

5. The method of claim 4, wherein the standard floor plan is substantially rectangular.

6. The method of claim 1, wherein standardizing each respective individual store floor plan to produce a corresponding standardized individual store floor plan, comprises:

(a) determining a weighted geographic center of the entire shopper accessible area of the individual store floor plan;

(b) from the weighted geographic center, determining a first-level quadrant by dividing the entire shopper accessible area with boundary lines to create quadrants such that each first-level quadrant includes one fourth of the shopper accessible grid areas of the entire shopper accessible area;

(c) determining a weighted geographic center of each first-level quadrant;

(d) from the weighted geographic center of a quadrant, determining a second-level quadrant by dividing the first-level quadrant with boundary lines to create quadrants such that each second-level quadrant includes one fourth of the shopper accessible grid areas of the first-level quadrant; and

(e) repeating steps (c) and (d) to determine next level quadrants until a desired number of quadrants is obtained, such that boundary lines for each sector of the individual store floor plan is defined.

7. The method of claim 6, wherein the method further comprises:

normalizing the shopper data for each of the plurality of stores according to each sector of the standardized individual store floor plan, to thereby produce normalized shopper data;

wherein the output further includes the normalized shopper data associated with the standardized individual store floor plan.

8. The method of claim 7, wherein the shopper data is one of shopper exposure to media per unit area over a predefined period of time and share of shopper exposure of each sector relative to total sectors in the individual store.

9. The method of claim 8, wherein the shopper exposure to media is based on at least one of amount of time shoppers spent in an area and direction shoppers faced in an area.

10. The method of claim 7, wherein comparing the normalized shopping data from the plurality of stores using the standardized individual store floor plan is further based on a size of the store.

11. The method of claim 7, wherein the shopper data includes shopper exposure data, the method further comprising, performing orthogonal segmentation by:

identifying a group of stores in which a product category is located in a common sector of the standardized individual store floor plans for the stores;

determining a shopper exposure to the product category for the group of stores based on the normalized shopper data for the common sector.

12. The method of claim 7, further comprising overlaying the standardized individual store floor plan with at least one of product categories and shopping domains.

13. The method of claim 12, wherein shopping domains include at least one of aisle domains, checkout domains, endcaps, service counter domains, and open bazaar domains.

14. The method of claim 6, wherein the shopper data is selected from the categories consisting of shopper exposure, transaction items, and transaction amount measured by currency per unit area over a predefined period of time.

15. The method of claim 1, wherein standardizing each respective individual store floor plan includes using a least squares method to minimize a difference between positions of grid points in the individual floor plans and positions of corresponding grid points in the standard floor plan.

16. A shopper data analysis system for analyzing shopper data from a plurality of shopping stores, comprising:

for each of the plurality of shopping stores, each of the plurality of shopping stores having an associated individual floor plan, a data generating device configured to generate shopper data based on shopping activity of shoppers; and

a data analysis device including a conversion program stored in memory of and executable by the data analysis device, the conversion program being configured to;

receive the shopper data generated from the data generating device and the associated individual floor plan of each of the plurality of shopping stores, and

standardize each of the associated individual floor plans to form a corresponding standardized individual floor plan for each of the plurality of shopping stores, the standardized individual floor plan for each of the plurality of shopping stores having a predefined number of equally-sized sectors corresponding in physical location and ratio of shopper accessible area to sectors in a standard floor plan, enabling a comparison of shopper data among the plurality of shopping stores by, for each of the associated individual floor plans, dividing the associated individual floor plan into a plurality of grid areas representing traffic points of each store, creating an identical number of grid areas in the standardized individual floor plan, mapping each grid area in the associated individual floor plan to each corresponding grid area in the standardized individual floor plan such that a weighted grid area in the standardized individual floor plan is created, the weighted grid area having an equivalent geographic location and shopper accessible area to a corresponding grid area in the standardized individual floor plan, and defining boundary lines of each sector of the associated individual store floor plan based on the weighted grid areas in each sector.

17. The shopping data analysis system of claim 16, wherein the shopper data includes media exposure data consisting of a number of shoppers per unit area over a predefined period, an amount of time shoppers spent in an area, and a direction shoppers faced in the area.

18. The shopping data analysis system of claim 16, wherein the shopping data generating device is a shopper position data generating device.

19. The shopping data analysis system of claim 16, wherein the shopping data generating device is an image data generating device.