Keyword Density formula : sharing with SEO Bros.

Discussion in 'Keywords' started by seotheking, Jun 10, 2010.

  1. #1
    Calculating the keyword density by following way.
    1.) Total number of words on your article or blog.
    2.) Count repetition of keyword (which you have used)
    3.) Apply below formula

    Keyword Density formula = ([Keyword Count] X 100)/(Total Word Count]

    For example, We have Article of 500 words on "Slow PC" and our main keyword is "Slow PC”

    - Total Word Count: 500
    - Slow PC(Keyword) uses: 20
    - “Slow PC” density = (20 x 100)/500

    Keyword density for “Slow PC” on the page is 4%:cool:

    This will helps SEO bros.
     
    seotheking, Jun 10, 2010 IP
  2. magda

    magda Notable Member

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    #2
    Or alternatively - just read it. If it reads naturally, it's fine, if it doesn't, it isn't.

    This will help SEO sisters, yes women have websites too.
     
    magda, Jun 10, 2010 IP
  3. digitalforum@gmail.com

    digitalforum@gmail.com Peon

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    #3
    than you bro
     
    digitalforum@gmail.com, Jun 16, 2010 IP
  4. calistam

    calistam Peon

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    #4
    yeah, 3%-4% keyword density is always good. apart from that I'd like to suggest to use in Title, opening paragraph and closing paragraph and in the link at end. Don't make the mistake of filling keywords in the mid-paragraphs. Keywords in title and opening paragraphs help search engines evaluate the importance of the piece of written work and keywords in the closing paragraph justifies the importance of value of the link you drop at the end of writing. Really that's all i can tell from my experience and yups, it has worked and worked like a charm all the time. Let me know if you have any other queries realated to writing content.
     
    Last edited: Jun 17, 2010
    calistam, Jun 17, 2010 IP
  5. imperialDirectory

    imperialDirectory Peon

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    #5
    I tend to go with this formula :)

    w = (log(dtf)+1)/sumdtf * U/(1+0.0115*U) * log((N-nf)/nf)

    dtf is the number of times the term appears in the document
    sumdtf is the sum of (log(dtf)+1)'s for all terms in the same document
    U is the number of Unique terms in the document
    N is the total number of documents
    nf is the number of documents that contain the term

    Classic MySQL full-text formula
     
    imperialDirectory, Jun 17, 2010 IP