Cross-retail store individualized price differential network system and method

• US 20020087384A1
• Filed: 01/02/2001
• Published: 07/04/2002
• Est. Priority Date: 01/02/2001
• Status: Abandoned Application

• Current Assignee: Catalina Marketing Corporation
• Original Assignee: Catalina Marketing Corporation
• Inventors: Neifeld, Richard A.
• Application Number:
  US09/750,709
• Publication Number:
  US 20020087384A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0225 Avoiding frauds
• 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 30/0601 Electronic shopping [e-shopping]

Abstract

The invention provides a computer network system and a method of using the system to influence consumer retail store shopping behavior by offering a consumer an incentive to shop at first retail store if data analysis indicates that the consumer is likely to shop at a store competing for the consumer'"'"'s business. The invention also provides means for determining the value and conditions imposed upon the consumer receiving the incentive offered based upon data indicating the differential value to the consumer in shopping at the competing retail store instead of the first retail store and data indicating the value to the first retail store of the consumer'"'"'s anticipated purchase, if that purchase is made from the first retail store.

Claims

1. A computer network implemented method comprising the steps of:

determining, from consumer retail store preference data associated with a consumer'"'"'s consumer identification, a store selection determination, said store selection determination indicating whether said consumer is likely to shop at a second retail store competing with a first retail store or whether said consumer is likely to shop at said first retail store;

determining, based at least in part upon said store selection determination, a first retail store incentive determination, said first retail store incentive determination indicating whether to transmit to said consumer an incentive offer to incent said consumer to shop at said first retail store.

2. The method of claim 1 wherein, if said store selection determination indicates that said consumer is likely to shop at said second retail store, said first retail store incentive determination indicates transmitting to said consumer an incentive offer to incent said consumer to shop at said first retail store.

3. The method of claim 1 further comprising transmitting said incentive offer to a client computer associated with said consumer identification.

4. The method of claim 1 wherein said retail store preference data includes at least one of retail store name selection, consumer frequent shopper membership data, consumer differential money amount data, consumer location data, and purchase history data.

5. The method of claim 1 wherein said retail store preference data includes retail store name selection.

6. The method of claim 1 wherein said retail store preference data includes at least one of consumer differential money amount data and consumer location data.

7. The method of claim 1 wherein said store selection determination occurs during a communication session of a client computer and a server computer.

8. The method of claim 1 further comprising the step of transmitting from a client computer to a server computer data indicating said consumer identification a retail store name.

9. The method of claim 8 wherein said store selection determination is based at least in part upon said data transmitted from said client computer to said server computer.

10. The method of claim 9 wherein said store selection determination and said first retail store incentive determination occur during a communication session between said client computer and said server computer.

11. A computer network implemented method comprising the steps of:

determining, from consumer retail store preference data associated with a consumer identification, a store selection determination, said store selection determination indicating whether said consumer is likely to shop at a second retail store competing with a first retail store or whether said consumer is likely to shop at said first retail store;

depending terms of an incentive offer to incent said consumer to shop at said first retail store at least in part upon said store selection determination.

13. The method of claim 12 wherein said relative cost is determined based upon at least one of consumer frequent shopper membership data, consumer differential money amount data, consumer location data, retail store location data, and client computer transmission format data.

15. A method according to claim 14 wherein said transaction value depends upon at least one of a consumer product selection data, consumer generic food type selection data, consumer recipe selection data, and consumer purchase history data.

12. A computer network implemented method comprising the steps of:

determining a relative cost for a consumer to purchase from a first retail store instead of a second retail store;

depending a value of an incentive offer for said consumer at least in part upon said relative cost; and

transmitting an incentive offer for said consumer to shop at said first retail store to a client computer associated with a consumer identification for said consumer.

14. A computer network implemented method comprising the steps of:

determining a relative cost for a consumer to make an anticipated purchase from a first retail store instead of a second retail store;

determining a transaction value to said first retail store in obtaining said anticipated purchase;

depending an incentive value of an incentive offer for said consumer to shop at said first retail store at least in part upon said relative cost and said transaction value; and

transmitting an incentive offer having said incentive value for said consumer to shop at said first retail store to a client computer associated with a consumer identification for said consumer.

16. A computer network implemented method comprising the steps of:

determining, from client computer transmission format data and store name selection data associated with a consumer identification, a store selection determination for said consumer identification, said store selection determination indicating whether a consumer associated with said consumer identification is likely to shop at a second retail store competing with a first retail store or whether said consumer is likely to shop at said first retail store;

determining, based at least in part upon said store selection determination, a first retail store incentive determination, said first retail store incentive determination indicating whether to transmit to said consumer an incentive offer to incent said consumer to shop at said first retail store.

17. A computer network comprising:

means for determining, from consumer retail store preference data associated with a consumer'"'"'s consumer identification, a store selection determination, said store selection determination indicating whether said consumer is likely to shop at a second retail store competing with a first retail store or whether said consumer is likely to shop at said first retail store;

means for determining, based at least in part upon said store selection determination, a first retail store incentive determination, said first retail store incentive determination indicating whether to transmit to said consumer an incentive offer to incent said consumer to shop at said first retail store.

18. A computer network comprising:

means for determining, from consumer retail store preference data associated with a consumer identification, a store selection determination, said store selection determination indicating whether said consumer is likely to shop at a second retail store competing with a first retail store or whether said consumer is likely to shop at said first retail store;

means for depending terms of an incentive offer to incent said consumer to shop at said first retail store based at least in part upon said store selection determination.

19. A computer network implemented comprising:

means for determining a relative cost for a consumer to purchase from a first retail store instead of a second retail store;

means for depending a value of an incentive offer for said consumer at least in part upon said relative cost; and

means for transmitting an incentive offer for said consumer to shop at said first retail store to a client computer associated with a consumer identification for said consumer.