Systems and methods to provide intelligent analytics to cardholders and merchants

• US 10,607,244 B2
• Filed: 02/26/2018
• Issued: 03/31/2020
• Est. Priority Date: 10/19/2009
• Status: Active Grant

• Current Assignee: Visa USA, Inc. (Visa, Inc.)
• Original Assignee: Visa USA, Inc. (Visa, Inc.)
• Inventors: Fordyce, Edward W., Winters, Michelle Eng, Amaro, Leigh
• Primary Examiner(s): Miller, Alan S
• Application Number:
  US15/904,587
• Publication Number:
  US 20180189806A1
• Time in Patent Office: 764 Days
• Field of Search: 705 711- 742
• 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: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0226 Incentive systems for frequent usage, e.g. frequent flyer miles programs or point systems
• 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 by the transaction handler, a portal coupled with the data warehouse to receive one or more parameters as an input and to provide spending activity information for presentation as a response to the input, and an analytics engine coupled with the portal and the data warehouse to analyze spending activities of a user based on the transaction data and the one or more parameters to generate the spending activity information regarding transactions in a plurality of accounts of the user.

Claims

1. A computer-implemented method, comprising:

identifying, by a computing apparatus, an account number of an account of a user involved in a payment transaction and an Internet Protocol (IP) address of a device associated with the user;

identifying, by the computing apparatus, a first time period of the payment transaction based on a timestamp associated with the payment transaction;

determining, by the computing apparatus, a cookie ID associated with the IP address of the device associated with the user, the cookie ID associated with a second time period;

determining, by the computing apparatus, at least one online activity associated with the cookie ID based on the IP address of the device associated with the user;

correlating, by the computing apparatus, the at least one online activity associated with the cookie ID, conducted at a time before the payment transaction, with the account number of the account of the user involved in the payment transaction;

generating, by the computing apparatus, a correlation result based on correlating the at least one online activity with the payment transaction, wherein the correlation result comprises data indicating a rate of conversion from the at least one online activity to the payment transaction;

generating, by the computing apparatus, an offer associated with an online advertisement for the user based on the correlation result; and

communicating, by the computing apparatus, the offer associated with the online advertisement to the user.

2. The method of claim 1, wherein the at least one online activity includes searching.

3. The method of claim 1, wherein the at least one online activity includes web browsing.

4. The method of claim 1, wherein the at least one online activity includes social networking.

5. The method of claim 1, wherein the at least one online activity includes an online activity associated with the online advertisement.

6. The method of claim 1, wherein identifying the account number of the account of the user involved in the payment transaction comprises:

identifying the account number of the account of the user involved in the payment transaction based on an electronic version of a receipt stored in a data warehouse.

7. The method of claim 6, wherein the electronic version of the receipt is a photo picture of the receipt.

8. The method of claim 1, wherein correlating the at least one online activity associated with the cookie ID comprises:

correlating the at least one online activity associated with the cookie ID based on purchase details associated with the payment transaction.

9. The method of claim 8, wherein the purchase details include information associated with a stock-keeping unit.

10. The method of claim 1, wherein the second time period is within a predetermined amount of time of the first time period.

11. The method of claim 1, further comprising:

requesting purchase details via an authorization response responding to an authorization request for the payment transaction processed at a transaction handler; and

receiving the purchase details associated with the payment transaction.

12. The method of claim 11, wherein the purchase details comprise information associated with one or more items purchased via the payment transaction, wherein the information associated with the one or more items is based on a stock-keeping unit.

13. The method of claim 12, wherein the purchase details include warranty information for an item of the one or more items.

14. The method of claim 12, wherein the purchase details comprise information associated with a receipt from a merchant for the payment transaction.

15. The method of claim 11, wherein the purchase details comprise a price for an item.

16. The method of claim 11, wherein the purchase details are received with a settlement request of the payment transaction.

17. The method of claim 1, further comprising:

transmitting data associated with presenting spending activities organized according to a set of categories; and

providing a receipt associated with a spending activity of the user in response to a user selection of the spending activity.

18. A non-transitory computer storage medium storing instructions configured to instruct a computing apparatus to:

identify an account number of an account of a user involved in a payment transaction and an Internet Protocol (IP) address of a device associated with the user;

identify a first time period of the payment transaction based on a timestamp associated with a time at which the payment transaction was conducted;

assign the account number of the account of the user and a cookie ID associated with the IP address of the device associated with the user in a data structure, wherein the cookie ID is associated with a second time period, the second time period being within a predetermined amount of time of the first time period;

determine the cookie ID associated with the IP address of the device associated with the user based on the data structure;

determine at least one online activity associated with the cookie ID based on the IP address of the device associated with the user;

correlate the at least one online activity associated with the cookie ID, conducted at a time before the payment transaction, with the account number of the account of the user involved in the payment transaction;

generate a correlation result based on correlating the at least one online activity with the payment transaction, wherein the correlation result comprises data indicating a rate of conversion from the at least one online activity to the payment transaction;

generate an offer associated with an online advertisement for the user based on the correlation result; and

communicate the offer associated with the online advertisement to the user.

19. A system, comprising:

at least one microprocessor;

memory storing instructions configured to instruct the at least one microprocessor to;

identify an account number of an account of a user involved in a payment transaction and an Internet Protocol (IP) address of a device associated with the user;

identify a first time period of the payment transaction based on a timestamp associated with a time at which the payment transaction was conducted;

determine a cookie ID associated with the IP address of the device associated with the user, the cookie ID associated with a second time period, the second time period being within a predetermined amount of time after the first time period;

determine at least one online activity associated with the cookie ID based on the IP address of the device associated with the user, wherein the at least one online activity comprises an online activity conducted before the payment transaction;

correlate the at least one online activity associated with the cookie ID with transaction data associated with the payment transaction;

generate a correlation result based on correlating the at least one online activity with the payment transaction, wherein the correlation result comprises data indicating a rate of conversion from the at least one online activity to the payment transaction;

generate an offer associated with an online advertisement for the user based on the correlation result; and

communicate the offer associated with the online advertisement to the user via the IP address of the device associated with the user.

20. The system of claim 19, wherein, when correlating the at least one online activity associated with the cookie ID, the at least one microprocessor is to:

correlate the at least one online activity associated with the cookie ID based on purchase details associated with the payment transaction.