Method and apparatus for estimating the spend capacity of consumers

• US 7,991,666 B2
• Filed: 02/10/2009
• Issued: 08/02/2011
• Est. Priority Date: 10/29/2004
• Status: Active Grant

• 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: Haggerty, Kathleen B., Yuan, Chao M.
• Primary Examiner(s): Colbert; Ella
• Application Number:
  US12/368,799
• Publication Number:
  US 20090144160A1
• Time in Patent Office: 903 Days
• Field of Search: 705/1, 705/1.1, 705/10, 705/14, 705/14.13, 705/26, 705/35, 705/38
• US Class Current: 705/35
• CPC Class Codes: G06Q 20/10 specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0211 Determining the effectiveness of discounts or incentives
• CPC Class Codes: G06Q 30/0224 based on user history
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof

Abstract

Time series consumer spending data, point-in-time balance information, internal customer financial data and consumer panel information provides input to a model for consumer spend behavior on plastic instruments or other financial accounts, from which approximations of spending ability may be reliably identified and utilized to promote additional consumer spending.

Claims

1. A method for modeling consumer behavior to estimate consumer spend, comprising:

analyzing, by a computer-based system for estimating the consumer spend comprising a processor and non-transitory memory, individual consumer data and aggregated consumer data to determine spending behavior for at least one category of consumers, wherein the individual consumer data and the aggregated consumer data include consumer panel data, tradeline data and internal customer data;

deriving a model of consumer spending patterns for the at least one category based on the analyzing;

validating the model using consumer panel data;

receiving tradeline data for a plurality of accounts of an individual consumer over a previous period of time;

identifying any balance transfers into at least one of the plurality of accounts, based on the tradeline data;

discounting any spending identified for any of the plurality of accounts for any portion of the previous period of time in which a balance transfer to such account is identified;

estimating, by the computer-based system, a purchasing ability of the individual consumer based on the tradeline data, the discounting and the model; and

outputting, by the computer-based system, the purchasing ability.

2. The method of claim 1, further comprising:

refining the model based on additional consumer panel data.

3. The method of claim 1, the previous period of time comprising at least twelve months.

4. The method of claim 1, the plurality of accounts including at least one of:

a credit card account, a charge card account, a line of credit, a checking account and a savings account.

5. The method of claim 1, the deriving a model further comprising:

determining at least two categories of customers based on the aggregated customer data, the first category including customers that primarily pay down credit account balances and the second category including customers that primarily revolve credit account balances.

6. The method of claim 5, further comprising:

assigning one of the first and second categories to the individual customer based on the tradeline data.

7. The method of claim 1, further comprising:

changing the terms of a credit account of the individual consumer based on said estimating.

8. The method of claim 7, said changing further comprising:

changing a credit limit of the credit account.

9. The method of claim 7, said changing further comprising:

providing a discount on a purchase to the customer when said estimating indicates an increase in the purchasing ability of the individual customer.

10. The method of claim 1, further comprising:

selecting the individual consumer from a set of customers that do not have a delinquent account status.

11. The method of claim 1, said validating further comprising:

validating the model using tradeline and consumer panel data of a plurality of consumers.

12. An article of manufacture including a computer readable medium having instructions stored thereon that, in response to execution by a computer-based system for estimating the consumer spend, cause the computer-based system to perform operations comprising:

analyzing, by the computer-based system, individual consumer data and aggregated consumer data to determine spending behavior for at least one category of consumers, wherein the individual consumer data and the aggregated consumer data include consumer panel data, tradeline data and internal customer data;

deriving a model of consumer spending patterns for the at least one category based on the analyzing;

validating the model using consumer panel data;

receiving tradeline data for a plurality of accounts of an individual consumer over a previous period of time;

identifying any balance transfers into at least one of the plurality of accounts, based on the tradeline data;

discounting any spending identified for any of the plurality of accounts for any portion of the previous period of time in which a balance transfer to such account is identified; and

estimating, by the computer-based system, a purchasing ability of the individual consumer based on the tradeline data, the discounting and the model; and

outputting, by the computer-based system, the purchasing ability.

13. A system for estimating consumer spend, the system comprising:

a non-transitory memory communicating with a processor for estimating the consumer spend,

the non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations comprising;

analyzing, by the processor, individual consumer data and aggregated consumer data to determine spending behavior for at least one category of consumers, wherein the individual consumer data and the aggregated consumer data include consumer panel data, tradeline data and internal customer data;

deriving a model of consumer spending patterns for the at least one category based on the analyzing;

validating the model using consumer panel data;

receiving tradeline data for a plurality of accounts of an individual consumer over a previous period of time;

identifying any balance transfers into at least one of the plurality of accounts, based on the tradeline data;

discounting any spending identified for any of the plurality of accounts for any portion of the previous period of time in which a balance transfer to such account is identified;

estimating, by the processor, a purchasing ability of the individual consumer based on the tradeline data, the discounting and the model; and

outputting, by the processor, the purchasing ability.