Systems and Methods for Propensity Analysis and Validation

• US 20110047072A1
• Filed: 08/05/2010
• Published: 02/24/2011
• Est. Priority Date: 08/07/2009
• Status: Abandoned Application

• Current Assignee: Visa USA, Inc. (Visa, Inc.)
• Original Assignee: Visa USA, Inc. (Visa, Inc.)
• Inventors: Ciurea, Peter
• Application Number:
  US12/851,138
• Publication Number:
  US 20110047072A1
• Time in Patent Office: Days
• US Class Current: 705/39
• CPC Class Codes: G06Q 20/10 specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
• CPC Class Codes: G06Q 20/384 using social networks
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G07F 9/001 Interfacing with vending machines using mobile or wearable devices
• CPC Class Codes: G07F 9/009 User recognition or proximity detection

Abstract

In one aspect, a computing apparatus includes: a transaction handler to process transactions; a data warehouse to store transaction data recording the transactions processed at the transaction handler; and a portal to receive a request from a client device over a network, the request including user data identifying at least one user. The client device has activity data recording activities of the user, and has the capability to determine from the activity data a first value for a first propensity score of the user. The computing apparatus further includes a score evaluator coupled to the data warehouse and the portal to determine a second value for the first propensity score based on transaction data recording payment transactions of the at least one user identified by the user data. The portal is configured to provide information based on the second value in response to the request.

Claims

1. A computer-implemented method, comprising:

receiving, in a computing apparatus, a request from a client device identifying at least one user, the client device having activity data recording activities of the at least one user, the client device being capable of determining from the activity data a first value for a first propensity score of the at least one user;

determining, using the computing apparatus, a second value for the first propensity score based on transaction data recording payment transactions of the at least one user, wherein the transactions are different from the activities; and

responsive to the request identifying the at least one user, providing by the computing apparatus information to the client device based on the second value determined for the first propensity score of the at least one user.

2. The method of claim 1, wherein the transactions are processed at a transaction handler, each of the transactions being processed to make a payment from an issuer to an acquirer via the transaction handler in response to an account identifier, as issued by the issuer to an account holder, being submitted by a merchant to the acquirer, the issuer to make the payment on behalf of the account holder, the acquirer to receive the payment on behalf of the merchant.

3. The method of claim 2, wherein the information comprises the second value determined for the first propensity score of the at least one user based on the transaction data.

4. The method of claim 2, wherein the request comprises the first value determined from the activity data for the first propensity score of the at least one user.

5. The method of claim 4, wherein the information comprises a suggested modification to the first value determined from the activity data.

6. The method of claim 4, wherein the information comprises a conclusion indicating whether the first value is validated via the transaction data.

7. The method of claim 2, wherein the transaction data and the activity data record different activities of the at least one user.

8. The method of claim 7, wherein the activities comprise search requests of the at least one user processed by a search engine.

9. The method of claim 7, wherein the activities comprise social networking activities.

10. The method of claim 7, wherein the activities comprise purchases made at an online marketplace.

11. The method of claim 7, wherein the client device has no access to the transaction data in determining the first value;

and the computing apparatus has no access to the activity data in determining the second value.

12. The method of claim 2, further comprising:

determining, using the computing apparatus, a value for a second propensity score based on the transaction data;

wherein the information comprises the value for the second propensity score determined based on the transaction data.

13. The method of claim 12, wherein the at least one user comprises a plurality of users, the method further comprising:

identifying a plurality of accounts of the at least one user based on matching the first value and the second value for the first propensity score, wherein the transaction data is from the plurality of accounts.

14. The method of claim 13, wherein the first propensity score is to indicate a level of affinity of the at least one user to a first standardized cluster;

and the second propensity score is to indicate a level of affinity of the at least one user to a second standardized cluster.

15. The method of claim 14, further comprising:

performing a cluster analysis to identify a plurality of standardized clusters, including the first standardized cluster and the second standardized cluster, based on transactions processed by the transaction handler.

16. The method of claim 14, wherein each of the plurality of standardized clusters corresponds to an area of products or services.

17. The method of claim 2, wherein the request comprises user data to identify a single user via at least one of:

IP address, browser cookie, user identifier, and account identifier.

18. The method of claim 2, wherein the information comprises a profile of the at least one user, the profile summarizing the transaction data using a plurality of values representing aggregated spending in various areas;

and the values are computed for factors identified from a factor analysis of a plurality of spending frequency variables and a plurality of spending amount variables aggregated based on merchant categories.

19. A computer storage medium storing instructions which, when executed on a computer system, cause the computer system to perform a method, the method comprising:

receiving a request from a client device identifying at least one user, the client device having activity data recording activities of the at least one user, the client device being capable of determining from the activity data a first value for a first propensity score of the at least one user;

determining a second value for the first propensity score based on transaction data recording payment transactions of the at least one user, wherein the transactions are different from the activities; and

responsive to the request identifying the at least one user, providing information to the client device based on the second value determined for the first propensity score of the at least one user.

20. A system, comprising:

a transaction handler to process transactions, each of the transactions being processed to make a payment from an issuer to an acquirer via the transaction handler in response to an account identifier of a customer, as issued by the issuer, being submitted by a merchant to the acquirer, the issuer to make the payment on behalf of the customer, the acquirer to receive the payment on behalf of the merchant;

a data warehouse to store transaction data recording the transactions processed at the transaction handler;

a portal to receive a request from a client device over a network, the request including user data identifying at least one user, the client device having activity data recording activities of the user, the client device being capable of determining from the activity data a first value for a first propensity score of the user; and

a score evaluator coupled to the data warehouse and the portal to determine a second value for the first propensity score based on transaction data recording payment transactions of the at least one user identified by the user data, wherein the portal is to provide information based on the second value in response to the request.