System and Method for Recording and Analyzing Internet Browser Traffic Independent of Individual or Specific Digital Platforms or Websites

• US 20120078708A1
• Filed: 09/22/2011
• Published: 03/29/2012
• Est. Priority Date: 09/23/2010
• Status: Abandoned Application

• Current Assignee: Joseph P. Romello, Kate Taylor, Ken Nanus
• Original Assignee: Joseph P. Romello, Kate Taylor, Ken Nanus
• Inventors: Taylor, Kate, Nanus, Ken, Romello, Joseph P.
• Application Number:
  US13/240,674
• Publication Number:
  US 20120078708A1
• Time in Patent Office: Days
• US Class Current: 705/14.41
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements

Abstract

Systems, techniques and methods for tracking a browser session path and content providing for the reconstruction of the full path and content of a browser session. Techniques for observing, recording, storing and analyzing the total path and content of Internet browser sessions on a device as they relate to consumer/user activity for use in reporting and predicting marketing trends and understanding behavior are disclosed. The system observes, records, stores and analyzes: activity within a browser session, activity within all browser sessions on a device, activity of a user or group of users over time, session activity without invasive efforts and/or invasive codes and/or use of potential privacy invading codes/cookies on a user'"'"'s computer.

Claims

1. A system for recording and analyzing internet browser traffic comprising:

a web server computing device associated with an internet service provider (ISP) connected to the internet;

computer storage media connected to the web server computing device; and

a tap engine;

wherein the web server computing device is configured to operate the tap engine causing the web server computing device to perform operations comprising;

collecting and storing user dialog information (“

UDI”

);

analyzing the UDI; and

wherein the UDI comprises site visit parameters for multiple websites, visit frequency parameters, site type parameters, transmission and download speed parameters, tag parameters, purchase parameters, content parameters, actual content served, equipment parameters, and statistical parameters.

2. The system of claim 1 wherein analyzing the UDI comprises cross referencing the UDI parameters one to another.

3. The system of claim 2, wherein cross referencing the UDI parameters comprises cross referencing at least two UDI parameters from the group consisting of site visit parameters, visit frequency parameters, site type parameters, transmission and download speed parameters, tag parameters, purchase parameters, content parameters, actual content served, equipment parameters, and statistical parameters.

4. The system of claim 1 wherein the analyzing of the UDI further comprises reconstructing the sequence of web pages visited by a user from the site visit parameters without the use of tagging or cookies

5. The system of claim 1 wherein the analyzing of the UDI further comprise reconstructing multiple internet browsing sessions from the site visit parameters.

6. The system of claim 1 wherein the analyzing of the UDI further comprises analyzing the equipment parameters associated with a user during a particular internet browsing session.

7. The system of claim 1 wherein the analyzing of the UDI further comprises a analyzing the site statistical parameters to determine the number of page viewed by site, by requests, by specific browsers, and by number of page views automatically generated.

8. The system of claim 1 wherein the analyzing of the UDI further comprises generating reports based on user pre-defined queries.

9. The system of claim 1 wherein the analyzing of the UDI further comprises analyzing end-to-end efficacy of online advertising and marketing campaigns.

10. The system of claim 1 wherein the analyzing of the UDI comprises real-time analysis and reporting of UDI.

11. The system of claim 1 wherein the analyzing of the UDI further comprises calculating the time for server browser requests from specific web servers.

12. The system of claim 1 wherein the rules for analyzing the UDI further comprises graphically displaying stored data in real time to a user.

13. A system for recording and analyzing internet browser traffic comprising:

a tap computing device, wherein the tap computing device comprises a processor inserted into a data stream between an ISP web server and a requesting internet browser, and wherein the processor is configured for;

collecting and storing user dialog information (“

UDI”

);

analyzing the UDI; and

wherein the UDI comprises site visit parameters for multiple websites, visit frequency parameters, site type parameters, transmission and download speed parameters, tag parameters, purchase parameters, content parameters, actual content served, equipment parameters, and statistical parameters.

14. The system of claim 13 wherein the r analyzing of the UDI further comprises cross referencing the UDI parameters one to another.

15. The system of claim 14, wherein the cross referencing of the UDI parameters comprises cross referencing at least two UDI parameters from the group consisting of sites visited, visit frequency parameters, site type parameters, transmission and download speed parameters, tag parameters, purchase parameters, content parameters, actual content served, equipment parameters, and statistical parameters.

16. The system of claim 14 wherein the analyzing of the UDI further comprises reconstructing the sequence of web pages visited by a user from the site visit parameters without the use of tagging or cookies

17. The system of claim 14 wherein the analyzing of the UDI further comprises reconstructing multiple internet browsing sessions from the site visit parameters.

18. The system of claim 14 wherein the analyzing of the UDI further comprises analyzing the equipment parameters to determine the specific equipment used a user during a particular internet browsing session.

19. The system of claim 14 wherein the analyzing of the UDI further comprises analyzing the site statistical parameters to determine the number of page views by site, by requests by specific browsers and by number of page views automatically generated.

20. The system of claim 14 further comprises generating reports based on the analyzing of the UDI.

21. The system of claim 20 wherein the reports comprise end-to-end analysis of online advertising and marketing campaigns.

22. The system of claim 14 wherein the processor is further configured to allow real-time analysis and reporting on internet traffic.

23. The system of claim 14 wherein the analyzing of the UDI further comprises calculating the time for serving browser requests from specific web servers.

24. The system of claim 14 wherein the processor is further configured to allow graphical displaying UDI.

25. A method for analyzing internet browser traffic comprising

collecting user dialog information (“

UDI”

) by a tap engine processor;

storing the collecting UDI, wherein the UDI comprises parameters and wherein the collecting and storing by the tap engine processor occurs at an internet service provider'"'"'s (“

ISP”

) server; and

analyzing the stored UDI by cross referencing the UDI parameters one to another.

26. The method of claim 25 wherein the cross referencing of the UDI parameters comprises cross referencing at least two UDI parameters from the group consisting of site visit parameters from multiple websites, visit frequency parameters, site type parameters, transmission and download speed parameters, tag parameters, purchase parameters, content parameters, actual content served, equipment parameters, and statistical parameters.

27. The method of claim 25 wherein the tap engine processor is contained within a web server processor associated with the internet service provider (ISP) connected to the internet.

28. The method of claim 26 wherein analyzing the UDI further comprises reconstructing a sequence of web pages visited by a user in an internet browsing session from the site visit parameters without the use of tagging or cookies.

29. The method of claim 26 wherein analyzing the UDI further comprises reconstructing multiple internet browsing sessions by a user over a period of time from the site visit parameters.

30. The method of claim 26 wherein analyzing the UDI further comprises analyzing the equipment utilized by the user during a particular internet browsing sessions from the equipment parameters.

31. The method of claim 26 wherein analyzing the UDI further comprises analyzing the number of page views by site, by requests by specific browsers and by number of page views automatically generated by sites from the site statistical parameters.

32. The method of claim 27 further comprising providing reports to a user.

33. The method of claim 26 wherein analyzing the UDI further comprises creating an end-to-end analysis of online advertising and marketing campaigns.

34. The method of claim 26 wherein analyzing the UDI further comprises real-time analyzing and reporting on internet traffic.

35. The method of claim 26 wherein analyzing the UDI further comprises calculating the time to serve browser requests from specific web servers.

36. The method of claim 26 wherein analyzing the UDI further comprises graphically displaying stored data.

37. A method for analyzing internet browser traffic comprising

collecting user dialog information (“

UDI”

) by a tap engine processor, wherein the tap engine processor is inserted into a data stream between an ISP web server and a requesting internet browser

storing the collecting UDI, wherein the UDI comprises parameters and wherein the collecting and storing by the tap engine processor occurs at an internet service provider'"'"'s (“

ISP”

) server; and

analyzing the stored UDI by cross referencing the UDI parameters one to another.

38. The method of claim 37 wherein the analyzing of the stored UDI by cross referencing the UDI parameters one to another comprises analyzing and cross referencing UDI parameters from the group consisting of site visit parameters from multiple websites, visit frequency parameters, site type parameters, transmission and download speed parameters, tag parameters, purchase parameters, content parameters, actual content served, equipment parameters, and statistical parameters.