Systems and Methods for Anticipatory Advertisement Delivery

• US 20110087546A1
• Filed: 09/07/2010
• Published: 04/14/2011
• Est. Priority Date: 10/09/2009
• Status: Abandoned Application

• Current Assignee: Visa USA, Inc. (Visa, Inc.)
• Original Assignee: Visa USA, Inc. (Visa, Inc.)
• Inventors: Richter, Claudia, Jolley, Ryan Bradford, Fordyce, Edward W. III, Clyne, Andrew, VonDerheide, James Alan, Winters, Michelle Eng, Savas, Nurtekin, Amaro, Leigh, Hagey, Ryan
• Application Number:
  US12/876,868
• Publication Number:
  US 20110087546A1
• Time in Patent Office: Days
• US Class Current: 705/14.53
• 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 30/0255 based on user history

Abstract

In one aspect, a computing apparatus includes: a transaction handler to process transactions; a data warehouse to store transaction data recording a plurality of transactions processed at the transaction handler for a user; an anticipation engine coupled to the data warehouse to predict a future event relating to the user based on the transaction data stored in the data warehouse; a profile generator to generate a spending profile of the user based at least in part on the future event predicted for the user; and a portal coupled to the profile generator to provide the spending profile in response to a query.

Claims

1. A computer-implemented method, comprising:

processing, using a computing apparatus of a transaction handler, a plurality of transactions of a user, 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 the user, being submitted by a merchant to the acquirer, the issuer to make the payment on behalf of the user, the acquirer to receive the payment on behalf of the merchant;

storing, in a data storage facility of the transaction handler, transaction data recording the transactions of the user;

predicting, by the computing apparatus, a future event relating to the user based on the transaction data; and

determining, by the computing apparatus, a spending profile of the user based at least in part on the future event.

2. The method of claim 1, wherein the spending profile identifies the future event predicted based on the transaction data.

3. The method of claim 1, further comprising:

identifying an advertisement based on the spending profile.

4. The method of claim 3, wherein the advertisement comprises an offer selected from the group consisting of:

discount, incentive, reward, coupon, gift, cash back, and benefit.

5. The method of claim 3, wherein the future event is predicted based on a transaction of the user and is predicted in real time with the transaction of the user being processed by the transaction handler.

6. The method of claim 5, further comprising:

providing the advertisement to the user via a mobile phone of the user or a point of sale (POS) terminal in real time with the transaction of the user being processed by the transaction handler.

7. The method of claim 1, wherein the future event is predicted based on identifying a cluster of transactions of the user;

and the spending profile identifies one or more needs for products or services related to the future event.

8. The method of claim 7, wherein the future event is predicted based on identifying correlation between presence of the cluster and occurrence of the event using transaction data of persons other than the user.

9. The method of claim 1, further comprising:

identifying a transaction pattern having predictive association with occurrence of the event, using transaction data of persons other than the user, the transaction data of the persons other than the user showing the transaction pattern prior to occurrences of the event; and

identifying the transaction pattern in the transaction data recording the transactions of the user, wherein the future event is predicted based on the predictive association between the transaction pattern and the occurrence of the event and in response to the transaction pattern being identified in the transaction data recording the transactions of the user.

10. The method of claim 8, wherein the predicting of the future event is based on a set of rules and the data recording the plurality of transactions of the user.

11. The method of claim 1, further comprising analyzing velocity scores based on the transaction data, wherein the future event is predicted based on the velocity scores.

12. The method of claim 1, further comprising:

receiving, using the computing apparatus, user data about the user to whom an advertisement will be presented; and

providing, using the computing apparatus, the spending profile to facilitate selection of the advertisement.

13. The method of claim 12, further comprising predicting, based on identification of the future event, interest of the user in goods or services.

14. The method of claim 13, wherein the predicting of the interest of the user in goods or services is based on a set of rules.

15. The method of claim 13, wherein the predicting of the interest of the user in goods or services is based on identifying a spending pattern in transaction data of persons other than the user, the transaction data of the persons other than the user showing the spending pattern following respective occurrences of the event.

16. The method of claim 13, wherein the spending profile identifies the interest of the user in goods or services.

17. The method of claim 12, wherein the spending profile further summarizes the transactions of the user using a plurality of values representing aggregated spending in various areas;

and each of the plurality of values indicates a level of aggregated spending of the user.

18. The method of claim 17, wherein the values are computed for factors identified from a factor analysis of a plurality of variables;

and the variables include spending frequency variables and spending amount variables to aggregate the transactions 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:

processing, using a computing apparatus of a transaction handler, a plurality of transactions of a user, 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 the user, being submitted by a merchant to the acquirer, the issuer to make the payment on behalf of the user, the acquirer to receive the payment on behalf of the merchant;

storing, in a data storage facility of the transaction handler, transaction data recording the transactions of the user;

predicting, by the computing apparatus, a future event relating to the user based on the transaction data; and

determining, by the computing apparatus, a spending profile of the user based at least in part on the future event.

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 a plurality of transactions processed at the transaction handler for a user;

an anticipation engine coupled to the data warehouse to predict a future event relating to the user based on the transaction data stored in the data warehouse;

a profile generator to generate a spending profile of the user based at least in part on the future event predicted for the user; and

a portal coupled to the profile generator to provide the spending profile in response to a query.