System and method for determining profitability scores

• US 20060235743A1
• Filed: 04/18/2005
• Published: 10/19/2006
• Est. Priority Date: 04/18/2005
• Status: Abandoned Application

• Current Assignee: Sbc Knowledge Ventures, L.P.
• Original Assignee: Sbc Knowledge Ventures, L.P.
• Inventors: Long, Kenneth C., Romeo, Robert F.
• Application Number:
  US11/108,622
• Publication Number:
  US 20060235743A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

A method for marketing a product to one or more customers includes retrieving a profitability score for the customer from a customer database. The product is selectively marketed to the one or more customers based on the profitability score. In a particular embodiment, a plurality of products can be bundled together to generate a bundle of products. The bundle of products can be selectively marketed to the customer. Further, the profitability score for the customer can be determined by determining a billed revenue for the customer over a predetermined time period and determining a collected revenue for the customer over the predetermined time period. Thereafter, the collected revenue is divided by the billed revenue to yield a percentage paid. Additionally, the percentage paid can be scaled to an integer between 1 and 999 to yield the profitability score.

Claims

1. A method for marketing at least one product to one or more customers, the method comprising:

retrieving a profitability score for the customer from a customer database; and

selectively marketing the at least one product to the one or more customers selected at least partially based on the profitability score.

2. The method of claim 1, further comprising at least partially based on the profitability score, predicting whether the product will be profitable if sold to the customer.

3. The method of claim 2, further comprising:

at least partially based on the profitability score bundling a plurality of products to generate a bundle of products; and

selectively marketing the bundle of products to the customer.

4. The method of claim 1, further comprising;

determining a marginal cost for the at least one product;

predicting a marginal revenue for the customer at least partially based on the profitability score for the customer, and

at least partially based on the marginal cost and the marginal revenue, selectively adding a customer name to a target market table in a product database.

5. The method of claim 4, further comprising using the target market table in the product database to market the at least one product to a target market.

6. The method of clam 1, wherein the profitability score for the customer is determined by:

determining a billed revenue for the customer over a predetermined time period;

determining a collected revenue for the customer over the predetermined time period; and

dividing the collected revenue by the billed revenue to yield a percentage paid.

8. The method of claim 6, further comprising storing the profitability score for the customer in a customer database.

7. (canceled)

9. (canceled)

10. (canceled)

11. (canceled)

12. A system for predicting profitability of products, comprising:

a profitability datamart, the profitability datamart including a plurality of profitability scores stored therein for predicting whether a set of customers associated with each of the plurality of profitability scores is likely to generate a profit for one or more products.

13. The system of claim 12, further comprising a behavioral scoring module coupled to the profitability datamart, the behavioral scoring module assessing a plurality of existing accounts to determine the plurality of profitability scores based on billed revenues for each existing account and collected revenues for each existing account.

14. The system of claim 13, firmer comprising a billing module coupled to the behavioral scoring module, the billing module providing customer billing information associated with each existing account to the behavioral scoring module.

15. The system of claim 14, wherein the customer billing information includes the billed revenues and the collected revenues for each existing account.

16. The system of claim 12, further comprising a new account profitability scoring module coupled to the profitability datamart, the new account profitability scoring module assessing a plurality of potential customers to determine an acquisition profitability score for each potential customer based on credit information acquired by the profitability datamart.

17. The system of claim 16, further comprising an external database coupled to the profitability datamart, the external database providing credit information for the plurality of potential customers to the profitability datamart.

18. The system of claim 17, wherein the credit information includes billing revenues and collected revenues for each potential customer and the acquisition profitability score for each potential customer is determined at least partially based on the billing revenues and collected revenues for each potential customer.

19. A system for determining profitability scores, the system comprising:

a server;

a memory device within the server;

a processor coupled to the memory device;

a new account profitability scoring module embedded within the memory device;

a behavioral scoring module embedded within the memory device;

a billing module embedded within the memory device; and

a profitability datamart coupled to the server.

20. The system of claim 19, further comprising an inbound/outbound system feed module embedded within the memory device.

21. The system of claim 20, further comprising an external data database coupled to the server.

22. The system of claim 21, further comprising a customer database coupled to the server.

23. The system of claim 22, further comprising a product database coupled to the server.

24. The system of claim 23, further comprising a user computer coupled to the server.

25. The system of claim 24, wherein the user computer includes a display device and an input device.

29. The computer system of claim 20, wherein the computer program further comprises instructions to selectively add the customer to a target market table within a product database at least partially based on the marginal revenue and the marginal cost.

30. The computer system of claim 29, wherein the customer is added to the target market table when the marginal revenue is greater than or equal to the marginal cost.

31. The computer system of claim 30, wherein the computer program further comprises instructions to selectively offer products to the customers within the target market table.

26. A computer system, comprising:

a processor;

a computer readable medium accessible to the processor;

a computer program embedded in the computer readable medium, the computer program comprising;

instructions to receive a billed revenue for a customer over a predetermined time period;

instructions to receive a collected revenue over the customer for the predetermined time period;

instructions to determine a profitability score based on the billed revenue and the collected revenue; and

instructions to selectively market at least one product to the customer at least partially based on the profitability score for the customer.

27. The computer system of claim 26, wherein the computer program further comprises instructions to determine a marginal cost for a product.

28. The computer system of claim 27, wherein the computer program further comprises instructions to predict a marginal revenue for the customer at least partially based on the profitability score for the customer.

32. (canceled)

33. (canceled)

34. (canceled)

35. (canceled)

36. (canceled)

37. (canceled)