SYSTEM AND METHOD TO ENABLE TRACKING OF CONSUMER BEHAVIOR AND ACTIVITY

• US 20100313009A1
• Filed: 04/20/2010
• Published: 12/09/2010
• Est. Priority Date: 06/09/2009
• Status: Abandoned Application

• Current Assignee: Gérard Hermet, Jacques Combet
• Original Assignee: Gérard Hermet, Jacques Combet
• Inventors: Combet, Jacques, Hermet, Gérard
• Application Number:
  US12/763,762
• Publication Number:
  US 20100313009A1
• Time in Patent Office: Days
• US Class Current: 713/150
• CPC Class Codes: G06Q 30/0204 Market segmentation
• 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 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A method for collecting, processing and analyzing Internet and e-commerce data accessed by users of messaging devices such, for example, as mobile terminal users includes receiving network access data extracted from packetized traffic of a communication system. A portion of the extracted network access data is encrypted to anonymize the received network access data, obscuring information from which messaging device users'"'"' identities might otherwise be determined. The encrypted portion constitutes a unique, anonymized identifier that can be correlated to the messaging device user associated with the traffic. Network access data anonymized in this manner, once received, is processed for analysis. By referencing the identifier, anonymized network access data associated with any messaging device user is distinguishuable from anonymized network access data associated with all other messaging device user—allowing patterns of internet access activity of the users to be tracked and reported anonymously. By correlating the identifier to a socio-demographic profile, it is further possible to monitor a sample of users sufficiently large to represent an entire population sharing the same socio-demographic characteristic(s).

Claims

1. A method for collecting and analyzing Internet and electronic commerce data, comprising the steps of:

receiving network access data extracted from individual packets traversing a network element of a communication system and being associated with users of messaging devices, a portion of the network access data extracted from each packet being encrypted to anonymize the received network access data by obscuring information from which an identity of a messaging device user might otherwise be determined and thereby obtaining a respective unique, anonymized identifier correlated to network access data associated with a corresponding messaging device user;

processing received anonymized network access data for analysis, whereby anonymized network access data associated with any messaging device user is distinguishable from anonymized network access data associated with every other messaging device user; and

generating at least one report identifying a pattern of internet access activity, derived from processed, anonymized network access data, by a group of the messaging device users.

2. The method of claim 1, wherein at least some of the received anonymized network access data is received from an operator of a mobile communication network providing internet access to N users of mobile terminal devices each having a unique mobile subscriber integrated services digital network (MSISDN) number, and

wherein an MSISDN number extracted from an individual packet is encrypted to obtain each unique, anonymized identifier, whereby anonymized network access data associated with any mobile terminal user is distinguishable from anonymized network access data associated with every other mobile terminal user.

3. The method of claim 2, further comprising a step of obtaining a respective MSISDN number from each of M mobile terminal users, where M is equal to or less than N.

4. The method of claim 3, further comprising a step of requesting, from the operator of the mobile communication network, the anonymized, unique identifier associated with each of said M mobile terminal users, whereby network access activity of any one of said M mobile terminal users is distinguishable from network access activity of each of said N users.

5. The method of claim 4, further including a step of associating, with each of the M mobile terminal users of the mobile communication network, a corresponding socio-demographic profile including at least one of a user'"'"'s age, gender, mobile service plan, mobile terminal model, household income, and residence;

a step of obtaining, from each of the M mobile terminal users, consent to refer to a corresponding socio-demographic profile when performing said processing step,

wherein said processing step includes distinguishing network access activity of those of the M mobile terminal users who share at least one selectable demographic characteristic from network access activity of those of the M mobile terminal users who do not share the at least one selectable demographic characteristic and all of the N messaging device users who are not members of M.

6. The method of claim 2, further including a step of associating, with each of the M mobile terminal users of the mobile communication network, a corresponding socio-demographic profile including at least one of a subscriber'"'"'s age, gender, mobile service plan, mobile terminal mode, household income, and residency, wherein said processing step includes distinguishing network access activity of those of the M mobile terminal users who share at least one selectable demographic characteristic from network access activity of those of the M mobile terminal users who do not share the at least one selectable demographic characteristic and all of the N messaging device users who are not members of M.

7. The method of claim 6, further including a step of obtaining, from each of the M mobile terminal users, consent to refer to a corresponding socio-demographic profile when performing said processing step, and wherein said processing step includes distinguishing network access activity of those of the M mobile terminal users who share at least one selectable demographic characteristic from network access activity of those of the M mobile terminal users who do not share the at least one selectable demographic characteristic and all of the N messaging device users who have not provided consent.

8. The method of claim 1, further including a step of associating, with each respective messaging device user of a group of the N messaging device users, a corresponding socio-demographic profile including at least one of a subscriber'"'"'s age, gender, service plan, household income, and residency, wherein said processing step includes distinguishing network access activity of those messaging device users of the group who share at least one selectable demographic characteristic from network access activity of those messaging device users of the group who do not share the at least one selectable demographic characteristic and all of the N messaging device users who are not part of the group.

9. The method of claim 1, further including a step of associating, with each respective messaging device user of a group of the N messaging device users, a corresponding socio-demographic profile including at least one of a subscriber'"'"'s age, gender, service plan, messaging device type, household income, and residency;

and

a step of obtaining, from each messaging device user of the group, authorization to refer to a corresponding socio-demographic profile when performing said processing step,

wherein said processing step includes distinguishing network access activity of those messaging device users of the group who share at least one selectable demographic characteristic from network access activity of those messaging device users of the group who do not share the at least one selectable demographic characteristic and all of the N messaging device users who have not agreed to provide authorization.

10. The method of claim 1, wherein said anonymized network access data is processed, during said processing step, to identify, for each anonymously tracked user, internet access activity including at least one of a history of all web pages visited, a duration of each web page visit, an identity of all advertisements presented on each web page, an image of all advertisements presented on each website, an identity of web pages visited in response to clicking on an advertisement, and a list of brand names of products purchased online.

11. The method of claim 10, further including a step of accessing, via a web portal operatively associated with the database, a graphical representation of patterns of anonymously tracked internet access activity.

12. The method of claim 11, wherein at least one pattern of internet access activity is representative of a number of discrete visits to one of a webpage and a website by users belonging to a specified demographic group.

13. The method of claim 12, wherein a representative pattern of internet access activity is derived from respective statistical samples, of those N users within respective demographic groups.

14. The method of claim 11, wherein at least one pattern of internet access activity is representative of a number of unique users within a specified demographic group visiting a website during at least one specified time interval.

15. The method of claim 14, wherein a representative pattern of internet access activity is derived from respective statistical samples, of those N users within respective demographic groups.

16. The method of claim 11, wherein at least one pattern of internet access activity is representative of web pages and websites from which respective subscribers were referred to a specified web page or web site.

17. The method of claim 16, wherein a graphical representation identifying the most frequent websites from which respective ones of said N users were referred to a specified web page is accessed during said accessing step.

18. The method of claim 11, wherein at least one pattern of internet access activity is representative of websites and web pages to which respective subscribers were referred from a specified web page or web site.

19. The method of claim 18, wherein a graphical representation identifying the most frequent websites to which respective users were referred by a specified web page is accessed during said accessing step.

20. The method of claim 18, wherein a graphical representation identifying the most frequent web pages to which respective users were referred by a specified website is accessed during said accessing step.

21. The method of claim 11, wherein at least one pattern of internet access activity is representative of a number of discrete visits to at least one of a webpage and a website by users, and a date and time of each visit.

22. The method of claim 21, wherein a graphical representation indicating a number of unique web page or web site visits within a specified time interval is accessed during said accessing step.

23. The method of claim 22, wherein the specified time interval is a specified hour of the day to thereby enable identification of optimum advertising slots.

24. The method of claim 23, wherein the specified time interval is a specified day of the week to thereby enable identification of optimum advertising slots.

25. The method of claim 1, wherein said receiving step is a first receiving step wherein network access data is received from a first communication system operated by a first operator to provide services to a first plurality of messaging device users, the method further comprising

receiving, in a second receiving step, network access data extracted from individual packets traversing a network element of a second communication system operated by a second operator to provide services to a second plurality of messaging device users, a portion of the network access data extracted from each second communication system packet being encrypted to anonymize the received network access data by obscuring information from which an identity of a messaging device user of the second plurality might otherwise be determined and thereby obtaining a respective unique, anonymized identifier correlated to network access data associated with a corresponding messaging device user of the second plurality;

and

wherein during said step of processing, anonymized network access data received during the second step is processed for analysis, whereby anonymized network access data associated with any messaging device user of the first and second plurality is distinguishable from anonymized network access data associated with every other messaging device user of the first and second plurality/

26. The method of claim 25, wherein each of said first and second communication systems is a mobile communication network collectively providing internet access to N users of mobile terminals each having a unique mobile subscriber integrated services digital network (MSISDN) number, and wherein the individual packets associated with each of the N users are represented by received network data identified by a corresponding encrypted MSISDN number to thereby allow network access data associated with each unique user to be anonymously distinguished from every other unique user.

27. The method of claim 26, wherein each of said N mobile terminal users reside in a single geographic region selected from the group consisting of continent, country, and state.

28. The method of claim 27, further comprising a step of obtaining a respective MSISDN number from each of M mobile terminal users, where M is equal to or less than N.

29. The method of claim 28, further comprising a step of requesting, from the operator of the first mobile communication network, the anonymized, unique identifier associated with each of said M mobile terminal users, whereby network access activity of any one of said M mobile terminal users is distinguishable from network access activity of each of said N users.

30. The method of claim 29, further including a step of associating, with each of the M mobile terminal users of the first mobile communication network, a corresponding socio-demographic profile including at least one of a user'"'"'s age, gender, mobile service plan, mobile terminal model, household income, and residency;

a step of obtaining, from each of the M mobile terminal users, consent to refer to a corresponding socio-demographic profile when performing said processing step,

wherein said processing step includes distinguishing network access activity of those of the M mobile terminal users who share at least one selectable demographic characteristic from network access activity of those of the M mobile terminal users who do not share the at least one selectable demographic characteristic and all of the N messaging device users who are not members of M.

31. The method of claim 28, further comprising

a step of requesting, from the operator of the first mobile communication network, the anonymized, unique identifier associated with each of a first group of said M mobile terminal users, and

a step of requesting, from the operator of the second mobile communication network, the anonymized, unique identifier associated with each of a second group of said M mobile terminal users, whereby network access activity of any one of said M mobile terminal users is distinguishable from network access activity of each of said N users.

32. The method of claim 31, further including a step of associating, with each of the M mobile terminals, a corresponding socio-demographic profile including at least one of a user'"'"'s age, gender, mobile service plan, mobile terminal model, household income, and residency,

wherein said processing step includes distinguishing network access activity of those of the M mobile terminal users who share at least one selectable demographic characteristic from network access activity of those of the M mobile terminal users who do not share the at least one selectable demographic characteristic and all of the N messaging device users who are not members of M.

33. A method for collecting and analyzing Internet and electronic commerce data, comprising the steps of:

receiving network access data extracted from individual packets traversing a network element of a first communication system and being associated with users of messaging devices, wherein all user-identifying features within said packets are replaced with an anonymizing alias identification whereby received network access data associated with any one messaging device user is anonymously distinguishable from received network access data associated with every other messaging device user;

processing received anonymized network access data for analysis; and

generating at least one report identifying a pattern of internet access activity, derived from processed, anonymized network access data, by a group of the messaging device users.

34. The method of claim 33, wherein said communication system includes a mobile communication network collectively providing internet access to N users of mobile terminals each having a unique mobile subscriber integrated services digital network (MSISDN) number, and wherein each anonymizing alias identification is obtained by encrypting a corresponding MSISDN number.

35. The method of claim 33, further including a step of receiving network access data extracted from individual packets traversing a network element of a second communication system and being associated with users of messaging devices, wherein all user-identifying features within the packets traversing the network element of the second communication system are replaced with an anonymizing alias identification whereby received network access data associated with any one messaging device user is anonymously distinguishable from received network access data associated with every other messaging device user.

36. The method of claim 35, wherein the first and second communication systems each include a respective mobile communication network collectively providing internet access to N users of mobile terminals each having a unique mobile subscriber integrated services digital network (MSISDN) number, and wherein each anonymizing alias identification is obtained by encrypting a corresponding MSISDN number.

37. The method of claim 36, wherein the first communication system is operated by a first mobile communication network operator and the second communication system is operated by a second communication network operator.

38. The method of claim 37, wherein network access data is received by a party other than the first mobile communication network operator and the second mobile communication network operator.

39. The method of claim 38, wherein network access data is processed, during said processing step, to identify, for each anonymously tracked user, internet access activity including at least one of a history of all web pages visited, a duration of each web page visit, an identity of all advertisements presented on each web page, an image of all advertisements presented on each website, an identity of web pages visited in response to clicking on an advertisement, and a list of brand names of products purchased online.

40. The method of claim 36, further including a step of associating, with at least some of the messaging device users, a corresponding socio-demographic profile including at least one of a user'"'"'s age, gender, household income, and residency.

41. The method of claim 36, wherein said processing step includes identifying a number of messaging device users sharing at least one selectable demographic characteristic in a group of messaging device users who have visited one of a web page and a website.

42. The method of claim 36, wherein said processing step includes identifying a number of messaging device users sharing at least one selectable demographic characteristic in a group of messaging device users who have been exposed to a particular web banner advertisement.

43. The method of claim 36, wherein said processing step includes indentifying a number of messaging device users sharing at least one selectable demographic characteristic in a group of messaging device users who have clicked on a particular web banner advertisement.

44. The method of claim 33, wherein network access data is processed, during said processing step, to identify, for each anonymously tracked user, internet access activity including at least one of a history of all web pages visited, a duration of each web page visit, an identity of all advertisements presented on each web page, an image of all advertisements presented on each website, an identity of web pages visited in response to clicking on an advertisement, and a list of brand names of products purchased online.