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they were looking for; the keyword used for searching was found to be highly relevant to the content of the web page. The authors defined a candidate metric, Page Interest, and then investigated the effect of several SEO techniques on this metric. Below is the formal definition of Page Interest (I): • I = URL.pv x URL.time / URL.bounce • URL.pv = the number of page views on average per day • URL.time = the time users spend on the website (in minutes) • URL.bounce = the bounce rate From the above definition of Page Interest, one can see that if there is a high number of Pageviews, an increase of time spent on the website and a low Bounce Rate, there will be a high Page Interest. As stated previously, a high Page Interest can be seen as positive interest the users show on the website; in other words, the website in question is highly relevant to the user’s search query. Below were the six SEO techniques that the researchers implemented and analyzed in their research: 1. Overall Links – The total number of web pages linking to another website. This has been a huge determining factor on how search engines determine a site’s position in the search results. 2. Website Title Length – Most search engines use the title tag on the search results page. Search engines also use the title tag to determine the theme or what the web page is about. Therefore, optimizing the title tag is important. 3. Keyword Density – This is defined as the percentage of times the keyword appears on the web page compared to the total number of words on the web page. 4. Layer Number – This is “related to the logical structure of a website designed according to the relationship between content relevance and link position” [2]. 5. Page Size – The researchers defined it as “the sum of the file sizes for all the elements that make up a page” [2]. According to them, “most search engines will not fully index pages that are greater than a certain size” [2]; therefore, the smaller the web page size, the faster it will load. 12PDF Image | ANALYSIS OF THE APPLICATION OF SELECTED SEARCH ENGINE OPTIMIZATION EFFECTIVENESS ON GOOGLE’S SEARCH RANK
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