Sumantra Roy, a respected Search Engine Positioning specialist from
http://www.1stSearchRanking.com
has kindly allowed us to incorporate his KEI (Keyword Effectiveness
Index) into Wordtracker.
The KEI compares the Count result (number of times
a keyword has appeared in our data) with the number of competing
web pages to pinpoint exactly which keywords are most effective
for your campaign.
In a nutshell: Look for the keywords near the top. The higher the KEI, the more popular
your keywords are, and the less competition they have. Which means you have a better
chance of getting to the top.
The article
below is a much more detailed look at the KEI and why we have decided to use it.
DETAILED EXPLANATION
The KEI is
a measure of how effective a keyword is for your web site. The
derivation of the formula for KEI is based on three axioms:
1) The KEI
for a keyword should increase if its popularity
increases. Popularity is defined as the number present in the
"Count" column of WordTracker. This axiom is self-explanatory.
2) The KEI
for a keyword should decrease if it becomes more
competitive. Competitiveness is defined as the number of sites
which a search engine e.g. AltaVista displays when you search for that
keyword using exact match search.
Exact match search means that a search engine searches for only those sites
which use the keyword exactly as typed in by the user. It is the equivalent of
entering:
Partial match search means that a search engine also searches for sites which contain
the individual words of the keyword but not necessarily occurring together or in the
order typed in by the user. It is the equivalent of entering:
Partial match search presents a distorted picture of the
competitiveness of a keyword because when you optimize your site for a particular keyword,
you are actually competing with sites which have used the keyword exactly as typed in
by the user.
So to clarify, competitiveness is defined as the number of sites which a search engine
displays when you search for that keyword using exact match search, that is with quotes
surrounding the term. Rather than those web sites returned when entering the phrase only
partially, that is without quotes.
Note: When you select KEI Analysis, quotes will
be added temporarily to each of your search terms for the purposes of the search.
3) If a keyword
becomes more popular and more competitive at the same time such that
the ratio between its popularity and competitiveness remains the same,
its KEI should increase. The rationale behind this axiom requires a
more detailed explanation. The best way to do this is to take an example:
Suppose the
popularity of a keyword is 4 and AltaVista displays 100 sites
for that keyword. Then the ratio between popularity and competitiveness
for that keyword is 4/100 = 0.04.
Suppose that
both the popularity and the competitiveness of the keyword increases.
Assume that the popularity increases to 40 and AltaVista now displays
1000 sites for that keyword. Then the ratio between popularity
and competitiveness for that keyword is 40/1000 = 0.04.
Hence, the
keyword has the same ratio between popularity and competitiveness as
before. However, as is obvious, the keyword
would be far more attractive in the second case. If the
popularity is only 4, there's hardly any point in spending time
trying to optimize your site for it even though you have a
bigger chance of ending up in the top 30 since there are only
100 sites which are competing for a top 30 position. Each hit
is no doubt important, but from a cost-benefit angle, the
keyword is hardly a good choice. However, when the popularity
increases to 40, the keyword becomes more attractive even
though its competitiveness increases. Although it is now that
much more difficult to get a top 30 ranking, spending time in
trying to do so is worthwhile from the cost benefit viewpoint.
A good KEI
must satisfy all the 3 axioms. Let P denote the popularity of the
keyword and C the competitiveness.
The formula
that we have chosen is KEI = (P^2/C), i.e. KEI is
the square of the popularity of the keyword and divided by its
competitiveness. This formula satisfies all the 3 axioms:
i) If P increases,
P^2 increases and hence KEI increases.
Hence, Axiom 1 is satisfied.
ii) If C increases,
KEI decreases and hence, Axiom 2 is
satisfied.
iii) If P
and C both increase such that P/C is the same as
before, KEI increases since KEI can be written as
KEI = (P^2/C)
= (P/C * P). Since P/C remains the same, and P increases,
KEI must increase. Hence, Axiom 3 is satisfied.
Note that
the formula for KEI is not unique. In fact, this is
one of the nice things about the KEI. If, instead of using 2,
you use any power of P greater than 1, the resultant formula
will also satisfy the 3 axioms. For example, (P^1.5/C) and
(P^3/C) both satisfy the 3 axioms. The exact power of P that
you choose depends on how much emphasis you want to give to the
popularity of a keyword viz-a-viz its competitiveness. Higher
the power of P in the formula, higher will be the emphasis on
popularity. If you are very confident about your search engine
positioning skills, choose a higher value for the power of P.
If you are not that confident about your search engine
positioning skills, choose a lower value for the power of P
(but the power should still be more than 1). Thus, the KEI can
be adapted to your skill level! Feeling confused as to which
power you should choose? Stick to 2. It maintains a nice
balance between both popularity and competitiveness.
Please note that
Wordtracker defaults to 2 (P^2/C) as described above.
The Keyword Effectiveness Index was invented by Sumantra Roy. Sumantra is
one of the most respected and recognized search engine positioning
specialists on the Internet. For free articles and tips on search engine
positioning, subscribe to the 1st Search Ranking Newsletter by going to
http://www.1stSearchRanking.com/newsletter.htm