


The total number of words in the analyzed text.The number of words present in that key-phrase, and.How many times a specific key-phrase is repeated in a document.The keyword density score for a key-phrase is calculated by looking at: But with all advancements that Google is making with regards to Natural Language Processing (NLP), this calculation is applicable only if you have the backing of quality content. This is the traditional way of calculating the Keyword Density. Here is how to calculate the KD for your 2000 words content keeping in mind that your focus keyword is a 3-word keyphrase and repeated 30 times. You repeated the focus keyword for more than 30 times, and that keyword contains 3 words. There is a formula to calculate the Keyword Density: Keyword Density = ( KR / ( TW -( KR x ( NWK-1 ) ) ) ) x 100 KR = how many times you repeated a key-phrases NWK = number of words in your key-phrases TW = total words in the analyzed text Example: Calculate Keyword DensityĪssume that you have a blog post of 2000 words. One of the most common questions about keyword density is what the ideal keyword density percentage is.

Read How to do Keyword Research for your Website How to Calculate Keyword Density (The Classic Way)? Like always, following this strategy alone may not be the answer to rank higher on search, but if you are taking good care of the quality of the content being produced, TF-IDF can give you a definite boost in rankings.īy looking at keyword density in a broader spectrum, it’s possible to disassociate it with keyword stuffing – a blackhat method. This strategy uses not a single keyword but a host of related ones that are relevant to the users’ search query. TF-IDF stands for “Term Frequency and Inverse Document Frequency.” This is a calculation based on the term frequency within the existing pages that are ranking on the search with that of the one you are about to publish. With more advanced ways of measuring result-driven SEO strategies in place, TF-IDF technique has largely helped in calculating the Keyword Density. With the popularity of the TF-IDF technique, keyword density has managed to position itself better among other SEO techniques.
