SYSTEMS AND METHODS TO IDENTIFY AFFLUENCE LEVELS OF ACCOUNTS

• US 20130151388A1
• Filed: 12/11/2012
• Published: 06/13/2013
• Est. Priority Date: 12/12/2011
• Status: Abandoned Application

• Current Assignee: Visa International Service Association (Visa, Inc.)
• Original Assignee: Visa International Service Association (Visa, Inc.)
• Inventors: Falkenborg, Nathan Kona, Wallace, John Gallaudette, Ghosh, Abhisek
• Application Number:
  US13/711,532
• Publication Number:
  US 20130151388A1
• Time in Patent Office: Days
• US Class Current: 705/35
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/10 Tax strategies
• CPC Class Codes: G06Q 40/12 Accounting

Abstract

Systems and methods are provided to generate information indicative of the opportunity to provide offers to affluent account holders, based on transaction data recording the transactions in the accounts of the account holders. The opportunity information may not be indicative of the actual overall spending level of the account holders. The opportunity information is generated based on rankings of the respective accounts based on spending characteristics in a plurality of merchant categories, such as international travel, dining out, specialty retail, etc.

Claims

1. A computer-implemented method, comprising:

storing, in a computing apparatus, transaction data of a plurality of accounts;

identifying, by the computing apparatus, spending characteristics in a plurality of merchant categories based on the transaction data;

ranking, by the computing apparatus, the plurality of accounts based on the spending characteristics to generate ranks of the plurality of accounts in the plurality of merchant categories; and

computing, by the computing apparatus, a score indicative of a spending potential of each account of the plurality of accounts based at least on the ranks of the plurality of accounts in the plurality of merchant categories.

2. The method of claim 1, further comprising:

determining, by the computing apparatus, a spending level of each account of the plurality of accounts; and

segmenting the plurality of accounts based on the spending level of and the score for each account of the plurality of accounts.

3. The method of claim 1, further comprising:

counting, by the computing apparatus for each respective account of the plurality of accounts, a number of months, within a predetermined period of time, in which months the respective account has at least one transaction meeting a set of predetermined requirements, wherein the score of the respective account is based on the number of months.

4. The method of claim 3, wherein the set of predetermined requirements include a requirement that the at least one transaction is made at retail locations outside a country in which an account holder of the respective account resides.

5. The method of claim 4, wherein the set of predetermined requirements include a requirement that the at least one transaction is of a card-present type of transactions.

6. The method of claim 3, wherein for the respective account of the plurality of accounts, the score is generated by combining the number of months and the ranks of the respective account in the plurality of merchant categories among the plurality of accounts.

7. The method of claim 6, wherein the plurality of merchant categories includes more than one category selected from the group consisting of:

restaurant;

specialty retail;

lodging; and

travel and entertainment.

8. The method of claim 7, wherein in at least one of the merchant categories, the ranking is based on highest transaction amount in a single transaction among transactions in each account in the plurality of accounts.

9. The method of claim 8, wherein the at least one of the merchant categories in which the ranking is based on highest transaction amount includes a category of transactions in restaurant.

10. The method of claim 9, further comprising:

determining decile values of the respective account based on the ranks of the respective account in the plurality of merchant categories among the plurality of accounts;

combining the decile values of the respective account and the number of months counted for the respective account to obtain the score for the respective account.

11. The method of claim 10, wherein the number of months is limited by a predetermined maximum value and weighted to have a range consistent with decile values.

12. The method of claim 8, wherein combining the decile values and the number of months includes summing results of raising the decile values and the number of months to a predetermine power larger than one.

13. The method of claim 1, further comprising:

selecting a subset of the plurality of accounts based on the score; and

providing offers to account holders of the subset of accounts.

14. A computer-storage medium storing instructions configured to instruct a computing apparatus to at least:

store, in the computing apparatus, transaction data of a plurality of accounts;

identify, by the computing apparatus, spending characteristics in a plurality of merchant categories based on the transaction data;

rank, by the computing apparatus, the plurality of accounts based on the spending characteristics to generate ranks of the plurality of accounts in the plurality of merchant categories; and

compute, by the computing apparatus, a score indicative of a spending potential of each account of the plurality of accounts based at least on the ranks of the plurality of accounts in the plurality of merchant categories.

15. A computing apparatus, comprising:

at least one processor; and

a memory storing instructions configured to instruct the at least one processor to at least;

store transaction data of a plurality of accounts;

identify spending characteristics in a plurality of merchant categories based on the transaction data;

rank the plurality of accounts based on the spending characteristics to generate ranks of the plurality of accounts in the plurality of merchant categories; and

compute a score indicative of a spending potential of each respective account of the plurality of accounts based at least on the ranks of the plurality of accounts in the plurality of merchant categories.

16. The computing apparatus of claim 15, wherein the ranks identify decile rank of the respective account in spending in the plurality merchant categories among the plurality of accounts;

wherein the plurality merchant categories includes;

restaurant;

specialty retail; and

lodging.

17. The computing apparatus of claim 15, wherein the memory further stores instructions configured to determine an international purchase frequency proxy for the respective account based on counting a number of months, within a predetermine time period, in which months the respective account has at least one transactions that is performed at retail locations outside of a country in which an account holder of the respective account resides and that is performed using a payment instrument configured to present account information to identify the respective account.

18. The computing apparatus of claim 17, wherein the number of months is limited to a predetermined maximum value and weighted to generate the international purchase frequency proxy having a range consistent with a range of the ranks.

19. The computing apparatus of claim 18, wherein the ranks and the frequency proxy are each raised to a predetermined power and summed to obtain the score.

20. The computing apparatus of claim 16, wherein spending in the merchant category of restaurant is ranked based on highest transaction amount.