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Keyword density

From Wikipedia, the free encyclopedia

Keyword density is the percentage of times a keyword or phrase appears on a web page compared to the total number of words on the page. In the context of search engine optimization, keyword density can be used to determine whether a web page is relevant to a specified keyword or keyword phrase.

In the late 1990s, the early days of search engines, keyword density was an important factor in page ranking. However, as webmasters discovered how to implement optimum keyword density, search engines began giving priority to other factors beyond the direct control of webmasters. Today, the overuse of keywords, a practice called keyword stuffing, will cause a web page to be penalized.

The formula to calculate your keyword density on a web page for SEO purposes is , where Nkr is how many times you repeated a specific keyword, and Tkn the total words in the analyzed text. The result is a keyword density value. When calculating keyword density, ignore html tags and other embedded tags which will not appear in the text of the page once published.

When calculating the density of a keyword phrase, the formula would be ,[1] where Nwp is the number of words in the phrase. So, for example, for a four-hundred word page about search engine optimization where "search engine optimization" is used four times, the keyword phrase density is (4*3/400)*100 or 3 percent.

From a mathematical viewpoint, the original concept of keyword density refers to the frequency (Nkr) of appearance of a keyword in a dissertation. A "keyword" consisting of multiple terms, e.g. "blue suede shoes," is an entity in itself. T frequency of the phrase "blue suede shoes" within a dissertation drives the key(phrase) density. It is "more" mathematically correct for a "keyphrase" to be calculated just like the original calculation, but considering the word group, "blue suede shoes," as a single appearance, not three:

Density = ( Nkr / Tkn ) * 100.

'Keywords' (kr) that consist of several words artificially inflate the total word count of the dissertation. The purest mathematical representation should adjust the total word count (Tkn) lower by removing the excess key(phrase) word counts from the total:

Density = ( Nkr / ( Tkn -( Nkr * ( Nwp-1 ) ) ) ) * 100. where Nwp = the number of terms in the keyphrase.

YouTube Encyclopedic

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  • What is the ideal keyword density of a page?
  • Content Optimization and Keyword Density - SEO Beginner's Guide [Part 4]
  • Keyword Density Checker Tool Online | Keyword Density Analyzer

Transcription

Today's question comes from the Bay Area of California. The question is, "What is the ideal keyword density: 0.7%, 7%, or 77%? Or is it some other number?" Oh, boy. Keyword density, let's talk about it a little bit. A lot of people think there's some one recipe and you can just follow that like baking cookies. And if you follow it to the letter, you'll rank number one. And that's just not the way it works. So if you think that you can just say, I'm going to have 14.5% keyword density, or 7%, or 77%, and that will mean I'll rank number one, that's really not the case. That's not the way that search engine rankings work. So the way that modern search engines, or at least Google, are built is that the first time you mention a word-- hey, that's pretty interesting. It's about that word. The next time you mention that word, it's still about that word. And once you start to mention it a whole lot, it really doesn't help that much more. There's diminishing returns. It's just an incremental benefit, but it's really not that large. And then what you'll find is if you continue to repeat stuff over and over again, then you're in danger of getting into keyword stuffing, or gibberish and those kinds of things. So the first one or two times you mention a word, then that might help with your ranking, absolutely. But just because you can say it seven or eight times, that doesn't mean that it will necessarily help your rankings. So the way to think about it is this. Think about the keywords that you'd like to have in your copy. Make sure your copy's long enough so that you can work those keywords in to your copy in a natural way and not an artificial way. And my recommendation is to either read it aloud, or read it to someone else, or have someone else read it, and sort of say, do you spot anything that's artificial, or stilted, or it doesn't quite read right? And if you can read through the copy and have it read naturally where a person isn't going to be annoyed by it, then you're doing relatively well. But if you're like one of these guys where all you're doing is-- I know you're interested in red widgets because red widgets are one of the best things in the world to have. And if you're an expert on red widgets, then you'll know that the best source of red widgets is blah, blah, blah, blah, blah. Then that's really going too far. And you can really kind of tell whenever you land on a page if you're an experienced SEO, if someone's just like trying to get the same phrase on the page as many times as possible, because it just looks fake. And that's the sort of area in that niche where we try to say, rather than helping, let's make that hurt a little bit. So I would love it if people could stop obsessing about keyword density. It's going to vary. It's going to vary by area. It's going to vary based on what other sites are ranking it. There's not a hard and fast rule. And anybody who tells you that there is a hard and fast rule, you might be careful, because they might be selling you keyword density software or something along those lines. So I hope that helps. Maybe we can dispel that misconception and people realize not to worry that much about it. Just make sure you have the words that you want to have on the page. Make sure that they read naturally. And you should be in pretty good shape. Thanks very much.

See also

References

  1. ^ Taniar, David; Gervasi, Osvaldo; Murgante, Beniamino; Apduhan, Bernady O.; Pardede, Eric (2010-03-16). Computational Science and Its Applications - ICCSA 2010: International Conference, Fukuoka, Japan, March 23-26, 2010, Proceedings. Springer Science & Business Media. p. 212. ISBN 9783642121883. (Nkr * Nwp / Tkn) * 100.
This page was last edited on 7 March 2024, at 03:15
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