Method of optimising content presented to a user within a communication network

• US 20050038914A1
• Filed: 05/16/2002
• Published: 02/17/2005
• Est. Priority Date: 05/17/2001
• Status: Abandoned Application

• Current Assignee: Andrew Prendergast, David Whittle, Paul Gerard Cross
• Original Assignee: Andrew Prendergast, David Whittle, Paul Gerard Cross
• Inventors: Cross, Paul Gerard, Prendergast, Andrew, Whittle, David
• Application Number:
  US10/477,979
• Publication Number:
  US 20050038914A1
• Time in Patent Office: Days
• US Class Current: 709/250
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A method of optimising content presented to a user within a communications network, wherein the user (32) establishes a session (6) with the communications network (31) and generates one or more session events (7-19) during that session, the method including the step of: at least once during that session comparing (70-82) the past performance as a traffic stream of multiple sources of content that could be presented to a user to predetermine traffic performance criteria, to enable content (39) to be presented to the user from a content source meeting the predetermined traffic performance criteria.

Claims

1. A method of optimising content presented to a user within a communications network, wherein the user establishes a session with the communications network and generates one or more session events during that session, the method including the step of:

at least once during that session comparing past performance as a traffic stream of multiple sources of content that could be presented to a user to predetermine traffic performance criteria, to enable content to be presented to the user from a content source meeting the predetermined traffic performance criteria.

2. The method according to claim 1, wherein the past performance as a traffic stream source of each content source is determined by deriving a traffic performance index for each content source.

3. The method according to claim 2, wherein content is presented to a user from the content source having an optimal traffic performance index value.

4. The method according to claim 3, wherein the traffic performance index is derived from one or more key performance indicators representative of user behaviour with each of the multiple sources of content.

5. The method according to claim 4, wherein the key performance indicators are derived from predetermined session metrics related to historical session events.

6. The method according to claim 1, wherein optimisation takes place before the user requests access to content from one of the multiple sources of content.

7. The method according to claim 1, wherein the optimisation takes place during a user request for access for content from one of multiple sources of content.

8. The method according to claim 7, wherein a user requests access to content from a predetermined content category, and optimisation is applied to multiple sources of content meeting that predetermined content category.

9. The method according to claim 8, wherein content from a content source within the predetermined content category having an optimal traffic performance index value is displayed to the user.

10. The method according to claim 1, wherein optimisation takes place after the user requests access to content from one of the multiple sources of content.

11. The method according to claim 10, wherein a user requests access to content from one of the multiple sources of content, and in addition to the requested content, optimised advertising content is then provided to the user.

12. The method according to claim 1, wherein the past performance as a traffic stream source of the multiple sources of content is determined by:

(a) one or more users each establishing a session with related content source within the communications network,

(b) each user generating one or more session events during that session,

(c) determining a session event key for selected session events, (d) deriving one or more predetermined session metrics related to session events generated during each session,

(e) recording the session metrics against one or more of the session event keys,

(f) processing the recorded session metrics to derive one or more key performance indicators representative of user behaviour in relation to each content source, and

(g) deriving a traffic performance index for each content source from the key performance indicators for that content source.

13. The method according to claim 12, wherein the session events include at least one of:

(a) an impression event whenever content is accessed by a user from one of the content sources,

(b) a results event whenever a quantifiable result is achieved, and,

(c) an advertising event whenever advertising content is presented to a user.

14. The method according to claim 13, wherein a session event key is determined for at least each impression event.

15. The method according to claim 12, wherein the recorded session metrics characterise the number of events generated in sessions in which each impression event occurred.

16. The method according to claim 15, wherein the recorded session metrics further characterise the number of sessions during which each impression event occurred.

17. The method according to claim 12, wherein one or more session event keys are determined for identifying the time at which the session event occurred.

18. The method according to claim 12, wherein the session metrics further characterise the total number of at least one of impression events, long held sessions and session length.

19. The method according to claim 12, wherein a session event key is determined for each results event.

20. The method according to claim 12, wherein the session metrics further characterise the nature, cost and/or revenue of each results event.

21. The method according to claim 20, wherein the session metrics further characterise the total number of transactions.

22. The method according to claim 12, wherein a session event key is generated for each advertising event.

23. The method according to claim 22, wherein the session event key characterises the identity of the advertising source.

24. The method according to claim 12, wherein the session metrics characterise the number of banner impressions, clicks and/or unique clicks from banner impressions.

25. The method according to claim 12, wherein the key performance indicators are derived by selecting and sorting the session metrics according to one or more session event keys.

26. The method according to claim 25, wherein the key performance indicators include at least one of a click through ratio, click to conversion ratio, session to conversion rate, average number of sites per session or like indicator characterising the relationship between impression events, results events and advertising events.

27. The method according to claim 1, wherein data capture is initiated by a client associated with each user or by a server hosting content accessed by or presented to each user.

28. The method according to claim 27, the method further including the steps of:

capturing raw user activity data in a log file, and

transmitting the log file to a central server within the communications network.

29. The method according to claim 28, wherein the log file is batched or transmitted in real time to the central server.

30. The method according to claim 29, the method further including the step:

storing the recorded session metrics in a data storage device associated with the central server.

31. The method according to claim 30, wherein the data storage device includes one or more data tables of session event keys and corresponding predetermined session metrics.

32. A central measurement server including a processing unit and associated memory device for storing program instructions to cause the central measurement server to carry out a method according to claim 1.

33. A computer program including program instructions for use with a central measurement server, the central server including a processing unit and associated memory device for storing the program instructions, wherein the program instructions causes the central measurement server to carry out a method according to claim 1.