SYSTEMS AND METHODS FOR DETERMINING LOAN OPPORTUNITIES

• US 20110213641A1
• Filed: 05/11/2011
• Published: 09/01/2011
• Est. Priority Date: 11/07/2007
• Status: Abandoned Application

• Current Assignee: Experian Information Solutions Incorporated (Experian plc)
• Original Assignee: Experian Information Solutions Incorporated (Experian plc)
• Inventors: Metzger, Frank X. II, Densmore, Sherri Joyann
• Application Number:
  US13/105,203
• Publication Number:
  US 20110213641A1
• Time in Patent Office: Days
• US Class Current: 705/7.34
• CPC Class Codes: G06Q 20/102 Bill distribution or payments
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof

Abstract

A loan opportunity system is configured to analyze loan data and/or population data in order to determine loan opportunities for a lender, such as a credit union. In one embodiment a lender is initially provided with one or more estimated loan opportunity indicators, such as indicators of quantities of loans in a specific geographic region for which the lender can likely offer lower rates. Subsequently, upon completion of a payment agreement with a loan opportunity provider, for example, and establishment of loan parameters associated with borrowers (and their existing loans) to which the lender would like to make firm offers of credit, the lender is provided with a loan opportunity list indicating details of borrowers and their respective loans for which the particular lender can likely offer lower rates.

Claims

1. A method of determining loan opportunities for a lender, the method comprising:

receiving a geographic region serviced by the lender;

retrieving population data indicating an estimated number of adult individuals in the geographic region;

retrieving data estimating a percentage of adults in the geographic region that are currently making payments on at least one loan of a type serviced by the lender;

determining, by a computing device, an estimated number of individuals with outstanding loans in the geographic region based on the estimated number of adult individuals in the geographic region and the estimated percentage;

retrieving an estimated number of current customers of the lender, wherein the estimated number of current customers of the lender is an approximate number of individuals with outstanding loans serviced by the lender;

determining, by the computing device, an estimated number of potential customers of the lender in the geographic region, based on a difference between the number of individuals with outstanding loans and the number of current customers of the lender;

segmenting, by the computing device, the estimated number of potential customers of the lender into a plurality of credit tiers;

determining, by the computing device, average loan interest rates offered by the lender for respective credit tiers; and

identifying one or more credit tiers for which the average loan interest rate offered by the lender is less than the average loan interest rate for the same credit tier.

2. The method of claim 1, further comprising:

receiving one or more parameters indicating characteristics of borrowers;

accessing credit data comprising loan information regarding specific borrowers in the geographic region;

comparing the parameters to the credit data; and

generating a data structure comprising information regarding borrowers having loan information matching the parameters.

3. The method of claim 2, further comprising entering an agreement for payment from a recipient of the data structure to an entity that performs the generating of the data structure.

4. The method of claim 3, wherein the payment comprises a payment amount for each of the borrowers having loan information matching the parameters.

5. The method of claim 2, wherein the loan information comprises data indicating one or more of a rounded loan balance, a rounded monthly payment amount, an estimated interest rate, a loan term, and/or a loan term remaining.

6. The method of claim 1, wherein the geographic region comprises one or more ZIP code regions, MSA regions, municipalities, cities, counties, states, and countries.

7. The method of claim 1, further comprising generating a user interface depicting at least the estimated number of loan opportunities in the geographic region.

8. The method of claim 1, wherein the estimated number of adult individuals in the geographic region is obtained from government census data.

9. The method of claim 1, wherein the estimated percentage of adults in the geographic region is obtained from government census data.

10. The method of claim 1, wherein the approximate number of individuals who have outstanding loans serviced by the lender is obtained from the National Credit Union Administration.

11. The method of claim 1, wherein the segmentation is determined based on an average number of people belonging to each of the plurality of credit tiers.

12. The method of claim 1, wherein the segmentation is determined based on consumer credit information.

13. A computer readable storage medium storing software code configured for execution on a computer system, the software code being configured to perform operations comprising:

generating a user interface for receiving an indication of a geographic region from a user of the computer system;

receiving, from one or more data sources;

first data relating to a population of the geographic region selected by the user of a computer system, the first data comprising an estimated number of adult individuals in the geographic region;

second data indicating an estimated number of loans held by adult individuals in the geographic region; and

third data relating to a selected lender;

determining an estimated number of loan opportunities in the geographic region based on the estimated number of adult individuals in the geographic region, the estimated number of loans held by adult individuals in the geographic region, and the data relating to the selected lender;

categorizing the estimated number of loan opportunities into a plurality of credit tiers based upon aggregate population credit data; and

presenting information regarding at least a portion of the credit tiers, based on a comparison between average interest rates associated with the credit tiers and interest rates offered by the selected lender.

14. The computer readable storage medium of claim 13, wherein at least a portion of the user interface is displayed to the user via a software application executing on the computer system.

15. The computer readable storage medium of claim 13, wherein the operations further comprise:

receiving one or more parameters indicating characteristics of borrowers;

accessing credit data comprising loan information regarding specific borrowers in the geographic region;

comparing the parameters to the credit data; and

generating a data structure comprising information regarding borrowers having loan information matching the parameters.

16. The computer readable storage medium of claim 15, wherein the operations further comprise entering an agreement for payment from a recipient of the data structure to an entity that performs the generating of the data structure.

17. The computer readable storage medium of claim 16, wherein the payment comprises a payment amount for each of the borrowers having loan information matching the parameters.

18. The computer readable storage medium of claim 15, wherein the loan information comprises data indicating one or more of a rounded loan balance, a rounded monthly payment amount, an estimated interest rate, a loan term, and/or a loan term remaining.

19. The computer readable storage medium of claim 13, in combination with a computer processor configured to execute the software code stored in the computer readable storage medium.

20. A computer-implemented system comprising:

a computer-readable storage medium, having stored thereon a plurality of executable software modules;

one or more computing devices configured to execute the plurality of software modules on the computer-readable storage medium, wherein the software modules include at least;

an input module configured to receive a selection of a geographic region from a user;

a data gathering module configured to retrieve, from one or more sources;

first data relating to a population of the geographic region, the first data comprising an estimated number of adults associated with the geographic region;

second data indicating an estimated number of loans held by adult individuals in the geographic region; and

third data relating to a selected lender;

a calculation module configured to determine an estimated number of loan opportunities in the geographic region based on the first data relating to the population of the geographic region, the second data indicating the estimated number of loans, and the third data relating to the selected lender; and

a data presentation module configured to present, to the user, loan opportunity data based on the estimated number of loan opportunities in the geographic region, the loan opportunity data being categorized into a plurality of tiers based on aggregate population credit data.

21. The computer-implemented system of claim 20, wherein the loan opportunity data presented by the data presentation module is further based on a comparison between average interest rates associated with the tiers and interest rates offered by the selected lender.

22. The computer-implemented system of claim 20, wherein at least a portion of the one or more sources used by the data gathering module are stored locally in the computer-readable storage medium.