AUTOMATIC CLASSIFICATION OF PROSPECTS

• US 20080071630A1
• Filed: 09/14/2006
• Published: 03/20/2008
• Est. Priority Date: 09/14/2006
• Status: Abandoned Application

• Current Assignee: J J Donahue & Company
• Original Assignee: J J Donahue & Company
• Inventors: Donahue, John J.
• Application Number:
  US11/532,078
• Publication Number:
  US 20080071630A1
• Time in Patent Office: Days
• US Class Current: 705/26
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0613 Third-party assisted

Abstract

A system and method for automatically identifying customers with potential for completing a transaction and facilitating the transaction is provided herein. Visitors to a website or listing posted thereon may be identified and characterized according to publicly available information and/or other information provided by the visitor. Attributes of a visitor may be compared to one or more predefined evaluation variables and criteria. The evaluation variables and criteria are used to determine a probability that the visitor will complete a transaction. Points may be assigned for matching variables. Visitors may be categorized according to a determining probability. If a visitor has a sufficiently high probability, a counterparty to the transaction may be contacted. A transaction system may further be used to facilitate the transaction between the visitor and the counterparty. The variables and algorithms used to evaluate visitors may further be refined based on information from completion of past transactions.

Claims

1. A method for facilitating a transaction, comprising the steps of:

receiving, from a web-based listing that describes a product or service, information associated with a first party interested in the product or service, wherein the information is determined upon the first party viewing the web-based listing;

automatically classifying the first party based in part on the information associated with the first party, wherein the classification is performed on the basis of an algorithmic formula applying values to one or more criteria derived from the information associated with the first party; and

in response to determining that the first party exceeds a predetermined threshold of qualification, contacting a second party associated with the product or service and facilitating a proposed transaction between the first party and the second party.

2. The method of claim 1, further comprising the step of linking the first party and the second party to a transaction system that facilitates the transaction for purchasing the product or service.

3. The method of claim 1, further comprising the steps of:

storing information relating to the proposed transaction associated with the product or service;

analyzing one or more success factors based on the stored transaction information; and

adjusting the values based on the analysis of the one or more success factors for predicting successful transactions.

4. The method of claim 1, wherein the product or service comprises a real estate property.

5. The method of claim 1, wherein the automatically classifying step comprises the step of performing a reverse Internet Protocol lookup on the information associated with the first party and identifying a representative entity affiliated with the first party.

6. The method of claim 1, wherein the step of facilitating the proposed transaction between the first party and the second party includes sending a message to the first party, wherein the message includes information for accessing a transaction system.

7. The method of claim 1, wherein the step of facilitating the proposed transaction includes monitoring interactions between the first party and the second party.

8. The method of claim 1, further comprising the step of revising the algorithmic formula based on whether the first party and the second party completed the proposed transaction.

9. The method of claim 8, wherein the step of revising the algorithmic formula includes modifying one or more success factors.

10. The method of claim 8, wherein the step of revising the algorithmic formula includes modifying the match values associated with the one or more criteria.

11. The method of claim 1, wherein the second party includes at least one of a party entering a web-based listing and a representative entity associated therewith.

12. A method for facilitating a transaction, comprising the steps of:

receiving a request from a first party to view a web-based listing that describes a product or service;

identifying one or more attributes of the first party based on information received in the request;

determining a probability that the first party will complete a proposed transaction based on a comparison of the one or more identified attributes and a set of one or more predefined evaluation variables;

automatically classifying the first party based on the determined probability; and

in response to determining that the determined probability of the first party exceeds a predetermined probability threshold, facilitating the proposed transaction between the first party and the second party.

13. The method of claim 12, wherein the step of facilitating the proposed transaction includes contacting the first party.

14. The method of claim 12, wherein the information received in the request includes an Internet Protocol (IP) address associated with the first party.

15. The method of claim 12, wherein at least one of the one or more attributes is determined based on a HTTP_REFERER code.

16. The method of claim 12, wherein the one or more attributes includes at least one of an ascriptive attribute and a non-ascriptive attribute.

17. The method of claim 12, wherein the one or more attributes includes at least one of a name, a gender, an originating domain name and an organization type.

18. The method of claim 12, wherein the step of facilitating the proposed transaction between the first party and the second party includes linking the first party and the second party to a transaction system.

19. The method of claim 12, wherein the step of determining a probability that the first party will complete a proposed transaction further includes:

determining whether a first attribute of the one or more identified attributes matches a first criteria of the one or more evaluation variables; and

in response to determining that the first attribute matches the first criteria, applying a first match value associated with the first criteria to the probability that the first party will complete the proposed transaction.

20. The method of claim 19, wherein the first match value is negative.

21. The method of claim 12, further comprising the step of revising the set of one or more predefined evaluation variables based on whether the first party and the second party completed the proposed transaction.

22. The method of claim 21, wherein the step of revising the set of one or more predefined evaluation variables is further based on transaction information associated with a plurality of completed transactions.

23. The method of claim 21, wherein the step of revising the set of one or more predefined evaluation variables further includes retrieving data from an external database.

24. The method of claim 21, wherein the step of revising the set of one or more predefined evaluation variables includes removing a variable from the set.

25. The method of claim 21, wherein the step of revising the set of one or more predefined evaluation variables includes modifying a match value associated with at least one variable of the set.

26. A computer readable medium storing computer readable instructions that, when executed, cause a processor to perform a method comprising the steps of:

receiving, from a web-based listing that describes a product or service, information associated with a first party interested in the product or service, wherein the information is determined based on the first party viewing the web-based listing;

automatically classifying the first party based in part on the information associated with the first party, wherein the classification is performed on the basis of an algorithmic formula applying values to one or more criteria derived from the information associated with the first party;

in response to determining that the first party exceeds a predetermined threshold of qualification, facilitating a proposed transaction between the first party and the second party; and

revising the algorithmic formula based on whether the first party and the second party completed the proposed transaction.

27. The computer readable medium of claim 26, wherein the step of revising the algorithmic formula includes the step of modifying one or more weights associated with the one or more criteria.

28. The computer readable medium of claim 27, wherein the step of modifying one or more weights associated with the one or more criteria is based on whether the information associated with the first party matched the one or more criteria.

29. The computer readable medium of claim 26, wherein the step of revising the algorithmic formula includes the step of modifying the predetermined threshold of qualification.