sany101
Joined: 13 Nov 2011
Posts: 10
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 Posted: Sun Nov 13, 2011 8:16 am Post subject: What is keyword density |
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Keyword density is an indicator of the number of times the selected keyword appears on the website. But yes, keywords should not be used, but should be just enough to appear in high places.
If you repeat your keywords with every other word on every line, then your site will probably be rejected as an artificial site or spam site.
Keyword density is always expressed as a percentage of total words in a given web page.
Suppose you have 100 words on their website (not including HMTL code used to write the web page), and uses a particular keyword five times in the content. The keyword density on that page is done by simply dividing the total number of keywords, by the total number of words that appear on their website. So here it is 5 divided by 100 = 0.05. Because keyword density is a percentage of total number of words on the page, multiply the above by 100, which is 0.05 x 100 = 5%
The accepted standard for a keyword density is between 3% and 5%, to be recognized by search engines and should never be exceeded.
Remember, this rule applies to all pages of your site. It also applies not just to one keyword but also a set of keywords that relates to a different product or service. The keyword density should always be between 3% and 5%.
Simple steps to check the density:
· Copy and paste the contents of an individual web page into a software program such as word processing Word or Word Perfect.
· Go to "Edit" menu and click 'Select All'. Now go to "Tools" and "Word Count" select. Enter total number of words on the page.
· Now select the 'Find' function in the 'Edit' menu. Go to the 'Replace' tab and enter the keyword to find. 'Replace' the word with the same word, so it does not change the text.
· When you complete the replace function, the system provides a count of the words they replace. That gives the number of times you used the keyword in that page.
· Using the total number of words on the page and the total number of keywords you can now calculate the keyword density.
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