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Young Canadians more likely to download illegally from web, polls suggest
Canadians illegally download 14 music CDs or other files from the Internet for every file they take from the web legally, suggests a new poll.
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Canada rises two places on Business Competitiveness Index
Canada rose two positions to 13th place on the Business Competitiveness Index released by the World Economic Forum on Wednesday, putting it in the upper echelons of 117 countries but far behind the United States.
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Canada's Fastest Growing Tech Companies Showcase Sustainability, Leadership and Growth According to the 2005 Deloitte Technology Fast 50
Canada's fastest growing technology companies are growing even faster than in previous years, getting bigger and more profitable.
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WebProWorld Search Forum

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09.30.05


Keyword Research: A Business Driven Approach

By J. Green

Keyword research is the single most important aspect of any search optimization and promotion campaign, without exception. The keyword research process brings to light information that is both beneficial and directly applicable to many aspects of the business.

Interestingly enough, keyword research is also the most commonly neglected and under-developed aspect of many search marketing campaigns.

The solution to this problem lies in the development of keyword research approaches that are more business-cen tric. Such an approach to keyword research must be undertaken with great care as each keyword then represents an important business goal.

The most common criterion employed for keyword selection include:

• Search volume - The number of searches performed for a keyword.

• Competition - The volume and strength of competitor websites.

Generally keyword research is an attempt to find a balance between these factors and usually results in some kind of compromise in terms of keyword quality or relevance.
Often the greatest difficulty of the keyword research process is finding a compromise that you can live with. This I believe demonstrates an ineffective paradigm in regards to keyword selection; the remedy is to be found by using new and innovative research techniques and more importantly by approaching the process with a renewed perspective based upon a more complete understanding of the gravity inherent in keyword selection.


Firstly we must abandon the idea of "picking" keywords. There are a finite number of search phrases that accurately describe your business; this process is one of discovery. Therefore a more accurate perspective is keyword "identification".

Additionally the notion of "picking" keywords describes (accurately) the common research model used in the keyword research process: That is; mining every search phrase possible that is remotely related to one's industry and then picking the best one's from the list. This method is highly imprecise, involves minimal business intelligence and enervates resources.

Going back to the idea that each keyword represents an important business goal, we can see that this research model is flawed. Can one select important business goals from a list of all possible business goals? Not if success or longevity are a desirable business trait.

I would say that a research model that more accurately reflects our "keywords as business goals" perspective would look something like this:

Keyword research has two distinct simultaneously occurring projects each with a different focus. They are:

1. Business Intelligence Research

2. Technology and Application


Business intelligence research is concerned with identifying information to address the following questions:

Business Self-Evaluation-

• What phrases best describe our business, technologies, services, corporate culture and mission statement?

• How well do these phrases describe our competition?

• What search phrases are used by our sales motivated target audience?

• What distinguishes this business from competitors? What are the phrases that reflect a consumer interest in those distinctions?

Competitor Evaluation-

• Do our strongest real-world competitors also represent our top Internet competitors?

• Who would we like to consider our competitors? Is this the same as our actual competitors?

• What search phrases are driving conversions to top competitors?

Technology and application research is concerned with addressing the following questions and completing the following processes:

• In regards to competitors top conversion phrases; can our business become more relevant than our competitors for those search phrases?

• Are there any important search volume trends that can be observed for important keywords?

• Identify and compile an industry vocabulary containing all words, phrases and concepts that are commonplace within the business' unique area of focus. Identify the search volume for phrases within the industry vocabulary.

• Exploration and alteration of the industry vocabulary using linguistic relations identification. For example mapping the following for elements of the industry vocabulary:
Read the rest of the article


About the Author:
J. Green is a search technology researcher with expertise in scientific search engine optimization. He is the founder and research director of GreenBUILTResearch & Development a private organization dedicated to search technology research and scientific search optimization solutions.
http://www.GreenBUILT-Research.com

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