Real-time marketing of credit-based goods or services

• US 7,970,672 B2
• Filed: 09/01/2005
• Issued: 06/28/2011
• Est. Priority Date: 09/01/2004
• Status: Active Grant

• Current Assignee: CPL Assets LLC
• Original Assignee: Metareward, Inc. (Experian plc)
• Inventors: Mendelovich, Michael S., Rodenbusch, Richard, Orecchia, Jb G.
• Primary Examiner(s): Khattar; Rajesh
• Assistant Examiner(s): SEE, CAROL A
• Application Number:
  US11/219,142
• Publication Number:
  US 20060080233A1
• Time in Patent Office: 2,126 Days
• Field of Search: None
• 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 30/02 Marketing; Price estimation or determination; Fundraising
• 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

Systems and methods are described that determine which offers for credit-based transactions (if any) to market to a person. Each offer is associated with a set of third party demographic information criteria, a set of lender demographic information criteria, and a set of lender credit data criteria. The set of third party demographic information criteria is applied to a set of offers to determine a first subset of offers. The set of lender demographic information criteria is applied to the first subset of offers to determine a second subset of offers. The set of lender credit data criteria is applied to the second subset of offers to determine a third subset of offers.

Claims

1. A method of providing prescreened credit card offers to a visitor of a website, the method comprising:

receiving, by a computer, at least a name and address of a visitor of a website;

determining, by the computer, a likelihood that the visitor will accept a prescreened credit card offer based on demographic data of the visitor;

determining, by the computer, whether a prescreen of the visitor should be performed based at least on a likelihood that the visitor will accept a prescreened credit card offer, a cost per acquisition amount, and a cost for performing one or more prescreen operations;

in response to determining that the prescreen should be performed;

requesting, by the computer, performance of one or more prescreen operations to determine if the visitor qualifies for one or more prescreened credit card offers;

receiving, by the computer, indications of one or more prescreened credit card offers, wherein the indications are determined by at least comparing credit data of the visitor to respective prescreening criteria for each of a plurality of credit cards;

determining, by the computer, a profitability for each of the one or more prescreened credit card offers; and

generating, by the computer, a user interface for viewing by the visitor comprising one or more of the prescreened credit card offers with the largest respective profitabilities.

2. The method of claim 1, wherein the cost per acquisition for a particular prescreened credit card comprises an amount of money that an owner of the website receives if the visitor applies for the particular prescreened credit card and is approved for receiving the particular prescreened credit card.

3. The method of claim 1, further comprising:

receiving, by the computer, an indication from the visitor of a selected one of the prescreened credit card offers for which the visitor would like to apply; and

transmitting, by the computer, information regarding the visitor, including the name and address of the visitor, to the respective issuer of the selected prescreened credit card offer.

4. The method of claim 3, further comprising:

receiving, by the computer, information from the respective issuer of the selected prescreened credit card offer related to issuance of the selected prescreened credit card to the visitor.

5. The method of claim 1, wherein the credit data comprises one or more of:

a value of major assets owned by the visitor, account balances of one or more credit accounts associated with the visitor, and information regarding requests by others for credit reports of the visitor.

6. A method of providing a prescreened credit card offer to a visitor of a website, the method comprising:

determining, by a computer, if the visitor meets criteria for performing a prescreen on the visitor, the criteria comprising at least a likelihood that the visitor will accept a prescreened credit card offer, a cost per acquisition and a cost for performing one or more prescreen operations to determine if the visitor qualifies for one or more prescreened credit card offers;

in response to determining that the visitor meets the criteria for performing a prescreen on the visitor;

requesting, by the computer, performance of one or more prescreen operations to determine if the visitor qualifies for one or more prescreened credit card offers;

receiving, by the computer, indications of one or more prescreened credit card offers, wherein the indications are determined by at least comparing credit data of the visitor to respective prescreening criteria for each of a plurality of credit cards;

determining, by the computer, a profitability for each of the prescreened credit card offers;

selecting, by the computer, a prescreened credit card offer having the largest profitability; and

transmitting, by the computer, a user interface to a computing device used by the visitor, the user interface depicting information regarding the selected prescreened credit card offer.

7. The method of claim 6, further comprising:

selecting, by the computer, a second prescreened credit card offer having a second largest profitability; and

transmitting, by the computer, a user interface to the computing device used by the visitor, the user interface depicting information regarding the second prescreened credit card offer.

8. The method of claim 6, further comprising:

determining, by the computer, a likelihood that the visitor will click on a link associated with a presented prescreened credit card offer;

receiving, by the computer, indications of one or more prescreened credit card offers;

determining, by the computer, a profitability for each of the prescreened credit card offers;

selecting a prescreened credit card offer having the largest profitability; and

transmitting, by the computer, the user interface to the computing device used by the visitor only if the likelihood that the visitor will click on a link associated with a presented prescreened credit card offer is greater than a predetermined threshold likelihood that the visitor will click on a link.

9. A computerized system of providing one or more prescreened credit card offers to a visitor of a website, the system comprising:

a computing device configured to execute software code that performs;

receiving information regarding a visitor of a website;

determining whether a prescreen of the visitor should be performed based at least on a likelihood that the visitor will accept a prescreened credit card offer, a cost per acquisition amount, and a cost for performing one or more prescreen operations, wherein the likelihood that the visitor will accept a prescreened credit card offer is determined based on at least the received information regarding the visitor;

in response to determining that the prescreen should be performed;

requesting performance of one or more prescreen operations to determine if the visitor qualifies for one or more prescreened credit card offers;

receiving indications of one or more prescreened credit card offers, wherein the indications are determined by at least comparing credit data of the visitor to respective prescreening criteria for each of a plurality of credit cards;

determining a profitability for each of the one or more prescreened credit card offers;

selecting one or more prescreened credit card offers having respective profitabilities that are greater than a predetermined threshold profitability; and

transmitting information regarding at least some of the one or more selected prescreened credit card offers for display to the visitor.

10. The computerized system of claim 9, wherein information regarding a credit card offer having a highest profitability is displayed most prominently in the user interface.

11. A method of providing one or more prescreened credit card offers to a visitor of a website, the method comprising:

determining whether a prescreen of the visitor should be performed based at least on a likelihood that the visitor will accept a prescreened credit card offer, a cost per acquisition amount and a cost for performing one or more prescreens;

in response to determining that the prescreen should be performed;

requesting one or more prescreens to determine if the visitor qualifies for one or more prescreened credit card offers;

receiving indications of one or more prescreened credit card offers, wherein the indications are determined by at least comparing credit data of the visitor to respective prescreening criteria for each of a plurality of credit cards; and

transmitting, for display on a computing device used by the visitor, information regarding the one or more prescreened credit card offers,

wherein the method is performed by a suitably configured computing system.

12. The method of claim 11, further comprising:

transmitting, by the suitably configured computing system, information regarding the visitor, including a name and an address of the visitor, to a respective credit card issuer associated with the one or more prescreened credit card offers.