Estimating the spend capacity of consumer households

• US 20080221990A1
• Filed: 10/25/2007
• Published: 09/11/2008
• Est. Priority Date: 10/24/2005
• Status: Abandoned Application

• Current Assignee: Experian Marketing Solutions Incorporated (Experian plc)
• Original Assignee: Experian Marketing Solutions Incorporated (Experian plc)
• Inventors: Granger, Angela, Kornegay, Adam T., Megdal, Myles G., Shakespeare, Christopher
• Application Number:
  US11/977,737
• Publication Number:
  US 20080221990A1
• Time in Patent Office: Days
• US Class Current: 705/14
• CPC Class Codes: G06Q 30/0211 Determining the effectiveness of discounts or incentives
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

The spend capacity of a consumer typically increases as the number of consumers in the household increases, since the consumer can draw on the spending power of other consumers in the household. The size of wallet of the household is thus a better indicator of the consumer'"'"'s spend capacity than an individual size of wallet. All consumers in a given household can be aggregated based on, for example, their address of record. Duplicate tradelines within each household are removed from consideration in a size of wallet estimate. A spend capacity is then estimated for each tradeline using calculations derived from a consumer behavior model. The spend capacities for all tradelines in the household are combined to determine a household size of wallet. Each consumer in the household is then tagged with the household size of wallet, rather than their individual size of wallet.

Claims

1. A method of estimating the size of wallet of a consumer, comprising:

associating a plurality of tradelines with a household of the consumer;

removing duplicate tradelines in the plurality of tradelines from association with the household such that only unique tradelines are associated with the household;

estimating a spend capacity for each unique tradeline; and

calculating a household size of wallet based on the estimated spend capacities.

2. The method of claim 1, wherein the calculating step comprises summing the spend capacities for each tradeline.

3. The method of claim 1, further comprising associating the household size of wallet with the consumer.

4. The method of claim 1, wherein the removing step comprises:

obtaining the history of each tradeline for a given period of time;

identifying at least one tradeline whose history is substantially similar to another tradeline in the same household; and

removing the at least one tradeline from association with the household.

5. The method of claim 4, wherein the history of each tradeline includes at least one of account balance and transaction information.

6. The method of claim 1, further comprising targeting the consumer with a new product offer based on the household size of wallet.

7. The method of claim 1, further comprising targeting the consumer with a spend incentive for an existing product based on the household size of wallet.

8. A system for estimating the size of wallet of a consumer, comprising:

a processor; and

a memory in communication with the processor, the memory for storing a plurality of processing instructions for directing the processor to;

associate a plurality of tradelines with a household of the consumer;

remove duplicate tradelines in the plurality of tradelines from association with the household such that only unique tradelines are associated with the household;

estimate a spend capacity for each unique tradeline; and

calculate a household size of wallet based on the estimated spend capacities.

9. The system of claim 8, wherein the plurality of processing instructions for directing the processor to calculate a household size of wallet comprises instructions for directing the processor to sum the spend capacities for each tradeline.

10. The system of claim 8, wherein the plurality of processing instructions further comprises instructions for directing the processor to associate the household size of wallet with the consumer.

11. The system of claim 8, wherein the plurality of processing instructions for directing the processor to remove duplicate tradelines comprises instructions for directing the processor to:

obtain the history of each tradeline for a given period of time;

identify at least one tradeline whose history is substantially similar to another tradeline in the same household; and

remove the at least one tradeline from association with the household.

12. The system of claim 11, wherein the history of each tradeline includes at least one of account balance and transaction information.

13. The system of claim 8, wherein the plurality of processing instructions further comprises instructions for directing the processor to target the consumer with a product offer based on the household size of wallet.

14. The system of claim 8, wherein the plurality of processing instructions further comprises instructions for directing the processor to target the consumer with a spend incentive for an existing product based on the household size of wallet.

15. A computer program product comprising a computer usable medium having control logic stored therein for causing a computer to estimate the size of wallet of a consumer, said control logic comprising:

first computer readable program code means for causing the computer to associate a plurality of tradelines with a household of the consumer;

second computer readable program code means for causing the computer to remove duplicate tradelines in the plurality of tradelines from association with the household such that only unique tradelines are associated with the household;

third computer readable program code means for causing the computer to estimate a spend capacity for each unique tradeline; and

fourth computer readable program code means for causing the computer to calculate a household size of wallet based on the estimated spend capacities.

16. The computer program product of claim 15, wherein the fourth computer readable program code means comprises:

computer readable program code means for causing the computer to sum the spend capacities for each tradeline.

17. The computer program product of claim 15, wherein the second computer readable program code means comprises:

fifth computer readable program code means for causing the computer to obtain the history of each tradeline for a given period of time;

sixth computer readable program code means for causing the computer to identify at least one tradeline whose history is substantially similar to another tradeline in the same household; and

seventh computer readable program code means for causing the computer to remove the at least one tradeline from association with the household.

18. The computer program product of claim 17, wherein the history of each tradeline includes at least one of account balance and transaction information.

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

fifth computer readable program code means for causing the computer to associate the household size of wallet with the consumer.

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

fifth computer readable program code means for causing the computer to direct the processor to target the consumer with a new product offer based on the household size of wallet.