Identifying Industry Passionate Consumers

• US 20090171687A1
• Filed: 06/23/2008
• Published: 07/02/2009
• Est. Priority Date: 12/31/2007
• Status: Abandoned Application

• Current Assignee: American Express Travel Related Services Company, Inc. (American Express Company)
• Original Assignee: American Express Travel Related Services Company, Inc. (American Express Company)
• Inventors: Philip, Suby P., Kalia, Prashant, Yelle, Danny M., CROTTY, Karlyn Heiner
• Application Number:
  US12/144,506
• Publication Number:
  US 20090171687A1
• Time in Patent Office: Days
• US Class Current: 705/348
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Transaction-level data and size of wallet data may be used to identify industry passionate consumers. In an embodiment, industry passionate consumers are identified based on a ratio of spend within an industry to total spend of the consumer. In another embodiment, industry passionate consumers are identified based on a modeling of the consumer'"'"'s wallet and determining the ratio of spend within an industry to total spend of the consumer. The consumers may be ranked according to their ratios, with the consumers having the highest ratios being identified as industry passionate consumers.

Claims

1. A computer-implemented method of identifying industry passionate consumers, comprising:

(a) selecting a set of customers;

(b) selecting an industry;

(c) determining an industry share of wallet for each customer within the selected set of customers;

(d) ranking each customer within an industry based on the customer'"'"'s industry share of wallet; and

(e) determining that a customer is an industry passionate consumer when the customer'"'"'s ranking based on the customer'"'"'s industry share of wallet exceeds a filtering threshold.

2. The computer-implemented method of claim 1, wherein the set of customers includes all customers of a financial transaction company.

3. The computer-implemented method of claim 1, wherein the set of customers includes a subset of all customers of a financial transaction company.

4. The computer-implemented method of claim 1, wherein the industry comprises at least one of:

an airline industry;

a lodging industry;

a restaurant industry;

a consumer electronics industry;

a fashion industry;

a home improvement industry;

a home furnishings industry; and

an entertainment industry.

5. The computer-implemented method of claim 1, wherein the first threshold includes the top 25% ranked customers based on the customer'"'"'s industry share of wallet.

6. The computer-implemented method of claim 1, wherein the set of customers comprise at least one of:

customers having a wallet size greater than or equal to a first threshold and less than or equal to a second threshold; and

customers having a wallet size greater than the second threshold.

7. The computer-implemented method of claim 1, wherein a customer is analyzed as to whether the customer is an industry passionate consumer by the use of an industry passionate modeling analysis when less than a predetermined amount of the customer'"'"'s transactions are with the financial transaction company.

8. The computer-implemented method of claim 7, wherein a customer is analyzed as to whether the customer is an industry passionate consumer by the use of the industry passionate modeling analysis and based upon the customer'"'"'s industry share of wallet ranking when less than the predetermined amount of the customer'"'"'s transactions are with a financial transaction company.

9. An industry passionate consumer identification system, comprising:

a customer selection module which identifies a customer of a financial transaction company;

an industry selection module which identifies an industry in which the customer spends a portion of the customer'"'"'s wallet;

an industry share module which determines an industry share of wallet for the customer;

a ranking module which ranks the customer within the industry based on the customer'"'"'s industry share of wallet; and

a industry passionate determination module which determines whether the customer is an industry passionate consumer based on the customer'"'"'s industry share of wallet.

10. The system of claim 9, wherein the industry passionate determination module determines that the customer is an industry passionate consumer when the customer'"'"'s industry share of wallet is in the top 25% of customers ranked by industry share of wallet.

11. The system of claim 9, wherein the industry passionate determination module determines that the customer is an industry passionate consumer by the use of an industry passionate modeling analysis when less than a predetermined amount of the customer'"'"'s transactions are with a financial transaction company.

12. The system of claim 11, wherein the industry passionate determination module determines that the customer is an industry passionate consumer by the use of an industry passionate modeling analysis and the customer'"'"'s industry share of wallet ranking when less than the predetermined amount of the customer'"'"'s transactions are with the financial transaction company.

13. A computer program product comprising a computer usable medium having control logic stored therein for causing a computer to identify industry passionate consumers, comprising:

first computer readable program code that causes the computer to select a set of customers;

second computer readable program code that causes the computer to select an industry;

third computer readable program code that causes the computer to determine an industry share of wallet for each customer within the selected set of customers;

fourth computer readable program code that causes the computer to rank each customer within an industry based on the customer'"'"'s industry share of wallet; and

fifth computer readable program code that causes the computer to determine that a customer is an industry passionate consumer when the customer'"'"'s ranking based on the customer'"'"'s industry share of wallet exceeds a filtering threshold.

14. The computer program product of claim 13, wherein the filtering threshold includes the top 25% ranked customers based on the customer'"'"'s industry share of wallet.

15. The computer program product of claim 13, further comprising:

sixth computer readable program code that causes the computer to analyze whether the customer is an industry passionate consumer by the use of an industry passionate modeling analysis when less than a predetermined amount of the customer'"'"'s transactions are with the financial transaction company.

16. The computer program product of claim 13, further comprising

sixth computer readable program code that causes the computer to analyze whether the customer is an industry passionate consumer by the use of the industry passionate modeling analysis and based upon the customer'"'"'s industry share of wallet ranking when less that the predetermined amount of the customer'"'"'s transactions are with a financial transaction company.

17. The computer program product of claim 13, wherein the set of customers includes all customers of a financial transaction company.

18. The computer program product of claim 13, wherein the set of consumers includes a subset of all customers of a financial transaction company.

19. The computer program product of claim 13, wherein the fifth computer readable program code includes:

sixth computer readable program code that causes the computer to perform a first industry passionate analysis on a subset of consumers having a wallet size below a given threshold; and

seventh computer readable program code that causes the computer to perform a second industry passionate analysis on a subset of consumers having a wallet size above the given threshold.