SYSTEM AND METHOD FOR MEASURING THE EFFECTIVENESS OF AN ON-LINE ADVERTISEMENT CAMPAIGN

• US 20080071767A1
• Filed: 03/21/2007
• Published: 03/20/2008
• Est. Priority Date: 08/25/2006
• Status: Active Grant

• Current Assignee: Riosoft Holdings, Inc.
• Original Assignee: Covario, Inc. (Dentsu Group, Inc.)
• Inventors: Mann, Russ, Grieselhuber, Ray, Bartell, Brian, Zlotin, Dema
• Granted Patent: US 8,838,560 B2
• Time in Patent Office: Days
• US Class Current: 707/5
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202

Abstract

A system and method for modeling and optimizing the effectiveness of search engine optimization (“SEO”) initiatives and search engine marketing (“SEA”) campaigns is described. Several embodiments include methods and systems for classifying each of a plurality of websites using at least one of a plurality of classifications. Data associated with the plurality of websites is then acquired. The acquired data is then analyzed to achieve a result which may be used to model or optimize the effectiveness of the SEO initiatives and SEA campaigns.

Claims

1. A method, comprising:

classifying each of a plurality of websites using at least one of a plurality of classifications;

acquiring data associated with the plurality of websites; and

analyzing the data to achieve a result.

2. The method of claim 1, wherein the plurality of classifications include at least a personal classification, an affiliate classification, and a competitor classification.

3. The method of claim 1, wherein the classifying includes classifying at least one of the plurality of websites based on the content of the website.

4. The method of claim 1, wherein the classifying further includes classifying one or more web pages in each of the one or more websites using at least one of the plurality of classifications.

5. The method of claim 1, wherein the classifying further includes:

classifying, in relation to a first keyword, at least one of the plurality of websites using a first classification; and

classifying, in relation to a second keyword, at least one of the plurality of websites using a second classification.

6. The method of claim 1, wherein the data includes data pertaining to one or more ranked positions within a range of ranked positions that are associated with the plurality of websites and associated with one or more search engine results with respect to one or more keywords.

7. The method of claim 6, wherein the data pertaining to the one or more ranked positions includes a first number of ranked positions associated with a subset of the one or more websites.

8. The method of claim 7, wherein the data further includes a total number of ranked positions within the range of ranked positions that are associated with the one or more search engine results;

and

wherein the analyzing includes dividing the first number of ranked positions by the total number of ranked positions to achieve the result.

9. The method of claim 6, wherein the data pertaining to one or more ranked positions includes a ranking value for each of the one or more ranked positions.

10. The method of claim 9, wherein the analyzing includes determining an average ranking of ranked positions for at least one website of the one or more websites.

11. The method of claim 6, wherein the one or more search engine results include organic search engine results and paid search engine results.

12. The method of claim 1, wherein the data includes text associated with a first website of the one or more websites and acquired from one or more search engine results.

13. The method of claim 12, wherein the analyzing includes determining whether a preconfigured textual pattern exists in the text.

14. The method of claim 13, wherein the preconfigured textual patterns pertains to branding text of a second website of the one or more websites.

15. The method of claim 14, wherein the analyzing further includes determining, after the preconfigured textual pattern is determined to exist in the text, whether the text violates branding compliance specifications configured by the second website.

16. The method of claim 14, wherein the analyzing further includes determining, after the preconfigured textual pattern is determined to exist in the text, whether the branding text is authorized by the second website to exist in the text.

17. The method of claim 1, wherein the data includes an average click rate for a web link associated with at least one website of the one or more websites, wherein the web link is listed within one or more search engine results.

18. The method of claim 17, wherein the analyzing includes determining, based on the average click rate, an amount of visitors to the at least one website that is attributable to the one or more search engine results in relation to a total amount of visitors to the at least one website.

37. The method of claim 1, wherein the classifying includes classifying at least one of the plurality of websites based on a business relationship between each of the at least one of the plurality of websites and a user.

19. A system for optimizing a website in accordance with search engine results, comprising:

at least one processor;

a network interface for receiving data from at least data source;

a memory, operatively coupled to the processor for storing logical instructions wherein execution of the logical instructions by the processor results in the performing of at least the following operations;

classifying each of a plurality of websites using at least one of a plurality of classifications;

acquiring data associated with the plurality of websites; and

analyzing the data to achieve a result.

20. The system of claim 19, wherein the plurality of classifications include at least a personal classification, an affiliate classification, and a competitor classification.

21. The system of claim 19, wherein the classifying includes classifying at least one of the plurality of websites based on the content of the website.

22. The system of claim 19, wherein the classifying further includes classifying one or more web pages in each of the one or more websites using at least one of the plurality of classifications.

23. The system of claim 19, wherein the classifying further includes:

classifying, in relation to a first keyword, at least one of the plurality of websites using a first classification; and

classifying, in relation to a second keyword, at least one of the plurality of websites using a second classification.

24. The system of claim 19, wherein the data includes data pertaining to one or more ranked positions within a range of ranked positions that are associated with the plurality of websites and associated with one or more search engine results with respect to one or more keywords.

25. The system of claim 24, wherein the data pertaining to one or more ranked positions includes a first number of ranked positions associated with at least one website of the one or more websites.

26. The system of claim 25, wherein the data further includes a total number of ranked positions within the range of ranked positions that are associated with the one or more search engine results;

and

wherein the analyzing includes dividing the first number of ranked positions by the total number of ranked positions to achieve the result.

27. The system of claim 24, wherein the data pertaining to one or more ranked positions includes a ranking value for each of the one or more ranked positions.

28. The system of claim 27, wherein the analyzing includes determining an average ranking of ranked positions for at least one website of the one or more websites.

29. The system of claim 24, wherein the one or more search engine results include organic search engine results and paid search engine results.

30. The system of claim 19, wherein the data includes text associated with a first website of the one or more websites and acquired from one or more search engine results.

31. The system of claim 30, wherein the analyzing includes determining whether a preconfigured textual pattern exists in the text.

32. The system of claim 31, wherein the preconfigured textual patterns pertains to branding text of a second website of the one or more websites.

33. The system of claim 32, wherein the analyzing further includes determining, after the preconfigured textual pattern is determined to exist in the text, whether the text violates branding compliance specifications configured by the second website.

34. The system of claim 32, wherein the analyzing further includes determining, after the preconfigured textual pattern is determined to exist in the text, whether the branding text is authorized by the second website to exist in the text.

35. The system of claim 19, wherein the data includes an average click rate for a web link associated with at least one website of the one or more websites, wherein the web link is listed within one or more search engine results.

36. The system of claim 35, wherein the analyzing includes determining, based on the average click rate, an amount of visitors to the at least one website that is attributable to the one or more search engine results in relation to a total amount of visitors to the at least one website.

38. The system of claim 19, wherein the classifying includes classifying at least one of the plurality of websites based on a business relationship between each of the at least one of the plurality of websites and a user.