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Help- how effective is keyword density ?

by Gino Robin
6 replies
Hi
Can anyone tell me? how effective keyword density works....
and where the most effective..area to ,to profit from them..

Thanks I Apreciate
Gino
#density #effective #keyword
  • Profile picture of the author weatherdog2000
    I can't exactly answer this question but go to keyword academy on google and they will help you learn all about keywords for a low monthly fee.
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  • Profile picture of the author jazbo
    Forget keyword density. Just know the keyword and variations/related terms you are writing the content for then write for people.
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  • Profile picture of the author Matt Bard
    Well EzineArticles won't accept anything that has more than 2% density and after they started rejecting articles based on that number, I started testing my other content using the 2% model with great success.

    I started keeping all of my content (articles,blog posts...) at or under the 2% and have seen positive improvements in regards to ranking within Google.
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    • Profile picture of the author Gino Robin
      Hi,

      Well EzineArticles won't accept anything that has more than 2% density and after they started rejecting articles based on that number, I started testing my other content using the 2% model with great success.

      I started keeping all of my content (articles,blog posts...) at or under the 2% and have seen positive improvements in regards to ranking within Google.
      Will test that out and 2% is a decent model,as to go for 3%


      Thanks
      Gino
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      • Profile picture of the author RobertSeviour
        A question: If you keyword was 'dog' a 2% density means that you can use the word 'dog' twice every 100 words, doesn't it? But what if you also have 'dog food' within the 100 words? Would that make the keyword density 3%?

        What happens if your keyword density is too high? Does Google just reduce your ranking position?

        Robert
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        • Profile picture of the author Matt Bard
          Originally Posted by RobertSeviour View Post

          A question: If you keyword was 'dog' a 2% density means that you can use the word 'dog' twice every 100 words, doesn't it?
          Yes

          But what if you also have 'dog food' within the 100 words? Would that make the keyword density 3%?
          Google has been working on sophisticated algorithms based on LSI (Latent Semantic Indexing) which are formulas for understanding the relationship between 'dog' and 'dog food'.

          In other words, they can identify the likelihood that you meant to say 'dog food' rather than repeat 'dog' and then for no reason insert the word 'food'.

          That has been their plan and they have become more successful at it to a great degree.

          What happens if your keyword density is too high? Does Google just reduce your ranking position?
          That's the idea, but I wouldn't lose any sleep over it. Just try to write a natural article about your subject and the density pretty much takes care of itself.

          That is the whole purpose behind the science of LSI. There is a natural occurrence of words in normal speech that doesn't head into 'keyword stuffing'.

          If you and I were neighbors and we were talking about dogs, we probably wouldn't say the word dog more than 1% -2% during the conversation. We would both already know that we were talking about dogs and therefore it would be unnecessary to continue to remind each other that we were talking about dogs.

          Also, there are the 'related keyword' factors that come into play and would be another reason why 'dog food' would be understood to be 'dog food'. It is because we would naturally use other related words leading up to the phrase 'dog food'. Like feeding, or fed, hungry...

          These are all of the things that Google is trying to do to make the results more relevant. To understand the written form of natural expression.

          If you write an article as though you were writing to a real person, the density takes care of itself. When the density goes beyond the 2% - 3% then the red flags start to pop up on the program.
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