Matching session records of network users with corresponding transaction data

• US 7,971,260 B2
• Filed: 04/15/2010
• Issued: 06/28/2011
• Est. Priority Date: 06/30/2000
• Status: Expired due to Fees

• Current Assignee: Connexity Audience, Inc.
• Original Assignee: Hitwise Pty. Ltd. (Experian plc)
• Inventors: Gullette, Brian R. D., Nortman, Randall C., Spalink, Jan-Dieter, Hatchell, Andrew
• Primary Examiner(s): Dinh; Minh
• Application Number:
  US12/760,989
• Publication Number:
  US 20100198705A1
• Time in Patent Office: 439 Days
• Field of Search: None
• US Class Current: 726/26
• CPC Class Codes: G06F 21/6254 by anonymising data, e.g. decorrelating personal data from the owner's identification
• CPC Class Codes: G06F 2221/2101 Auditing as a secondary aspect
• CPC Class Codes: G06Q 20/383 Anonymous user system
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: H04L 2463/102 applying security measure for e-commerce data processing systems or methods, specially adapted for e-commerce G06Q30/00
• CPC Class Codes: H04L 41/0213 Standardised network management protocols, e.g. simple network management protocol [SNMP]
• CPC Class Codes: H04L 43/55 Testing of service level quality, e.g. simulating service usage
• CPC Class Codes: H04L 63/0421 Anonymous communication, i.e. the party's identifiers are hidden from the other party or parties, e.g. using an anonymizer
• CPC Class Codes: H04L 63/0823 using certificates cryptographic mechanisms or cryptographic arrangements for entity authentication involving certificates H04L9/3263
• CPC Class Codes: H04L 63/126 the source of the received data

Abstract

A system for collecting data regarding network behaviors of users is disclosed. In one embodiment, the system combines session records of users with corresponding transaction records reflective of e-commerce transactions. The session records may, for example, be generated by one or more collection engines deployed by one or more Internet Service Providers. The transaction records may, for example, be obtained through interactions with one or more merchant web sites. By combining these two types of information, the system can, for example, identify a set of user actions that led to a particular purchase transaction.

Claims

1. A computer-implemented method of monitoring network behavior of users, the method comprising:

receiving a session record generated by a first collection engine operated by an Internet Service Provider, said session record representing a series of interactions between a user computing device of a user and one or more web sites, said session record comprising an anonymized identifier representing said user;

receiving a transaction record generated by a second collection engine that operates remotely from the first collection engine, said transaction record reflective of an e-commerce transaction completed by the user on a merchant site, said transaction record comprising transaction information that is not available to the first collection engine, said second collection engine comprising code provided on a server of the merchant site; and

determining, by a computer system that is separate from the first and second collection engines, that the session record generated by the first collection engine is associated with the transaction record generated by the second collection engine, wherein the computer system determines said association at least partly by determining that the session record and the transaction record are both associated with an IP address corresponding to the user computing device.

2. The method of claim 1, wherein the computer system matches the session record with the transaction record without using personal information of the user, whereby user privacy is preserved.

3. The method of claim 1, further comprising, by said first collection engine, using a hash function to generate the anonymized identifier.

4. The method of claim 1, further comprising, after determining said association between the session record and the transaction record, analyzing the session record to determine user actions that led to said e-commerce transaction.

5. The method of claim 1, wherein the second collection engine comprises a script provided on a web server of the merchant site.

6. The method of claim 1, wherein the transaction record comprises a code representing a product category of a product purchased in said transaction.

7. The method of claim 1, wherein the transaction record comprises a code representing a payment method used to complete the transaction.

8. The method of claim 1, wherein the session record comprises information obtained by the first collection engine by passively monitoring network packets sent between the user computing device and the Internet Service Provider.

9. The method of claim 1, wherein the session record comprises an identifier of the Internet Service Provider.

10. A computer-implemented method of monitoring network behavior of users, the method comprising:

receiving a session record generated by a collection engine operated by an Internet Service Provider, said session record representing a series of interactions between a user computing device and one or more web sites, said session record comprising an anonymized identifier corresponding to said user;

receiving, by interaction with a merchant site that is separate from the collection engine, transaction information representing an e-commerce transaction completed on the merchant site, said transaction information comprising information that is not available to the collection engine; and

determining, by a computer system that is separate from the collection engine and the merchant site, that the session record generated by the collection engine is associated with the transaction information, wherein the computer system determines said association at least partly by determining that the session record and the transaction information are both associated with an IP address associated with the user computing device.

11. The method of claim 10, wherein the computer system determines said association without using personal information of the user, such that user privacy is preserved.

12. The method of claim 10, further comprising, by said collection engine, using a hash function to generate the anonymized identifier.

13. The method of claim 10, further comprising, after determining said association between the session record and the transaction information, analyzing the session record to determine user actions that led to said e-commerce transaction.

14. The method of claim 10, wherein the transaction information is generated by execution of a script provided on a web server of the merchant site.

15. The method of claim 10, wherein the transaction information comprises a code representing a product category of a product purchased in the e-commerce transaction.

16. The method of claim 10, wherein the transaction information comprises a code representing a payment method used to complete the transaction.

17. The method of claim 10, wherein the session record comprises information obtained by the collection engine by passively monitoring network packets sent between the user computing device and the Internet.

18. The method of claim 10, wherein the session record comprises an identifier of the Internet Service Provider.

19. A system for monitoring network behavior of users, the system comprising:

a first collection engine that monitors network traffic at an Internet Service Provider location, and based thereon, generates session records representing browsing sessions of users, wherein said first collection engine additionally generates anonymized identifiers that represent the respective users, and provides said annonymized identifiers with corresponding session records;

a second collection engine that comprises code residing on a server of a merchant site, wherein said second collection engine generates transaction records reflective of e-commerce transactions completed by users via interactions with the merchant site, said transaction records comprising transaction information that is not available to the first collection engine; and

a computer system that matches session records generated by the first collection engine with corresponding transaction records generated by the second collection engine, said computer system being separate from the first and second collection engines.

20. The system of claim 19, wherein the first collection engine generates the anonymized identifiers using a hash function.

21. The system of claim 19, wherein the second collection engine comprises a script provided on a web server of the merchant site.

22. The system of claim 19, wherein at least some of the transaction records include codes representing product categories of purchased products.

23. The system of claim 19, wherein at least some of the transaction records include codes representing payment methods used by users to complete the associated transactions.

24. The system of claim 19, wherein the session records comprise information obtained by the first collection engine by passively monitoring network packets sent between user computing devices and the Internet.

25. The system of claim 19, wherein the computer system is operative to match the session records with the corresponding transaction records without use of personal information of said users, whereby user privacy is preserved.

26. The system of claim 19, wherein the computer system is operative to match the session records with corresponding transaction records based at least in part on information reflective of IP addresses associated with the session records and transaction records.