NETWORK REAL ESTATE ANALYSIS

• US 20110282991A1
• Filed: 07/25/2011
• Published: 11/17/2011
• Est. Priority Date: 08/21/2000
• Status: Active Grant

• Current Assignee: Ip Ot Sub Ulc
• Original Assignee: Open TEXT SA (Open Text Corporation)
• Inventors: Kitts, Brendan J.
• Granted Patent: US 8,195,786 B2
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04L 41/5009 Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
• CPC Class Codes: H04L 41/5083 wherein the managed service relates to web hosting
• CPC Class Codes: H04L 43/045 for graphical visualisation of monitoring data
• CPC Class Codes: H04L 67/568 Storing data temporarily at an intermediate stage, e.g. caching
• CPC Class Codes: H04L 67/5682 Policies or rules for updating, deleting or replacing the stored data
• CPC Class Codes: Y10S 715/962 Operator interface for marketing or sales

Abstract

A method can be used to analyze the “real-estate” performance of content items within a network site. The method can comprise determining the click distance to reach each content item and determining the performance of each content item. The method can also comprise calculating a predicted value for performance based on statistical relationship between location and performance observed in a population of content items. The method can comprise comparing the predicted and actual performance. If a content item has an actual performance greater than its predicted performance, then it may be promoted to a better location in the site and the converse for poorer performing content.

Claims

1. A method for analyzing performance of content items within a network site, comprising:

at a server computer having access to network activity information on the network site;

determining a location of a content item within the network site;

determining a predicted performance for the content item at the location;

determining an actual performance of the content item;

comparing the predicted performance to the actual performance;

based on the comparison, determine whether the content item is underperforming;

moving the content item new location within the network site.

2. The method according to claim 1, wherein determining the predicted performance of the content item comprises analyzing a relationship between location and performance of other content items.

3. The method of claim 1, wherein determining the location of the content item comprises determining the average number of clicks it takes users to arrive at specific network address during a session at the network site.

4. The method of claim 1, wherein determining the actual performance of the content item comprises summing the number of session in which the content item is requested.

5. The method of claim 1, wherein the predicted performance of the content item is determined according to:

6. The method according to claim 2, wherein comparing the actual performance to the predicted performance comprises determining a real estate performance value according to:

7. The method according to claim 6, wherein if the content item has a REP<

1, the content item is determined to be underperforming.

8. A data processing system readable storage medium having computer readable program code embodied therein, the computer readable program code adapted to be executed by a computer to implement a method for analyzing performance of content items within a network site, the computer readable program code comprising instructions executable to:

determine a predicted performance for the content item at the location;

determine an actual performance of the content item;

compare the predicted performance to the actual performance;

based on the comparison, determine if the content item is underperforming; and

if the content item is underperforming, recommend moving the content item to a new location within the network site.

9. The data processing system of claim 8, wherein determining the predicted performance of the content item comprises analyzing a relationship between location and performance of other content items.

10. The data processing system of claim 8, wherein determining the location of the content item comprises determining the average number of clicks it takes users to arrive at specific network address during a session at the network site.

11. The data processing system of claim 8, wherein determining the actual performance of the content item comprises summing the number of session in which the content item is requested.

12. The data processing system of claim 8, wherein the predicted performance of the content item is determined according to:

13. The data processing system of claim 12, wherein comparing the actual performance to the predicted performance comprises determining a real estate performance value according to:

14. The data processing system of claim 8, wherein if the content item has a REP<

1, the content item is determined to be underperforming.

15. A data processing system for analyzing performance of content items within a network site, comprising:

a storage location storing network activity information on the network site; and

a server computer coupled to the storage location comprising a processor and a computer readable storage medium storing computer executable instruction, the computer executable instructions comprising instructions executable to;

determine a predicted performance for the content item at the location;

determine an actual performance of the content item;

compare the predicted performance to the actual performance;

based on the comparison, determine if the content item is underperforming; and

if the content item is underperforming, recommend moving the content item to a new location within the network site.

16. The data processing system of claim 15, wherein determining the predicted performance of the content item comprises analyzing a relationship between location and performance of other content items.

17. The data processing system of claim 15, wherein determining the location of the content item comprises determining the average number of clicks it takes users to arrive at specific network address during a session at the network site.

18. The data processing system of claim 15, wherein determining the actual performance of the content item comprises summing the number of session in which the content item is requested.

19. The data processing system of claim 15, wherein the predicted performance of the content item is determined according to:

20. The data processing system of claim 19, wherein comparing the actual performance to the predicted performance comprises determining a real estate performance value according to:

21. The data processing system of claim 15, wherein if the content item has a REP<

1, the content item is determined to be underperforming.