If you have been part of any Internet Marketing forums, you must have come across the subject of KEI or Keyword Effectiveness Index. What most people are concerned about is what makes a good KEI. So first of all, what is the formula for KEI?
What is the formula for KEI?
The best way to answer this question is by first understanding the components of KEI. Its simplest formula is Popularity Squared divided by Competition. Popularity and Competition are the two variables in this formula. The same principles that apply in any mathematical equation also apply. The final answer will vary depending on the values plugged in for each variable. Let’s take a closer look at the individual components
Understanding KEI
There are several ways through which you can determine popularity, WordTracker is one of them. It returns search numbers as a daily value. If for instances it returns a popularity score of 458, the term receives 458 searches per day. The other tool to use is the Google AdWords External Keyword Tool. This returns data on the amount of searches per month. If the Google tool returns a popularity value of 458, this means that there were 458 searches per month. When these variables are plugged into your formula, you are bound to get a huge difference in the KEI score.
Some people believe that the best way to measure competition is by searching the keyword phrase in quotes. Others believe in searching for the keyword phrase in the title of the webpages. It is important to understand that these searches will give you totally different results, some with thousands in difference. This means that if you plug the two different variables you will also get different KEI scores for a term.
This is the reason why it is advisable to use KEI as the quickest way to sift thought the effectiveness of a long list of keyword data you have accumulated keeping in mind that you will only use the score to compare the terms to others in a similar list.
You should therefore use KEI as a comparative measure. You shouldn’t toss away another promising keyword just because it doesn’t have a KEI that measures up to what you consider as arbitrary number.
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