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Keyword research starts with finding all possible word combinations that are relevant to the "making money" keyword. For example, the keyword "acquiring money" has significantly fewer search results, only 116,000,000, but it has the same meaning as "making money." Another way is to be more specific about a keyword by adding additional filters.
Keyword research and analysis involve three "steps": ensuring the site can be indexed in the search engines, finding the most relevant and popular keywords for the site and its products, and using those keywords on the site in a way that will generate and convert traffic. A follow-on effect of keyword analysis and research is the search ...
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.
Search engine optimization (SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. [1] [2] SEO targets unpaid search traffic (usually referred to as "organic" results) rather than direct traffic, referral traffic, social media traffic, or paid traffic.
Search analytics is the use of search data to investigate particular interactions among Web searchers, the search engine, or the content during searching episodes. [1] The resulting analysis and aggregation of search engine statistics can be used in search engine marketing (SEM) and search engine optimization (SEO).
Pay-per-click (PPC) is an internet advertising model used to drive traffic to websites, in which an advertiser pays a publisher (typically a search engine, website owner, or a network of websites) when the ad is clicked.
Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document. [ 1 ] [ 2 ] Key phrases , key terms , key segments or just keywords are the terminology which is used for defining the terms that represent the most relevant information contained in the document.
In corpus linguistics a key word is a word which occurs in a text more often than we would expect to occur by chance alone. [1] Key words are calculated by carrying out a statistical test (e.g., loglinear or chi-squared) which compares the word frequencies in a text against their expected frequencies derived in a much larger corpus, which acts as a reference for general language use.