Since 2012, Searchmetrics has published our annual “Ranking Factors Study”. It’s an excellent report, and a lot of work goes into it from our statisticians, mathematicians, senior management and our ranking/search experts, gathering data from all around the world on what affects the rankings of a website. But, what is our definition of a “Ranking Factor”? How – exactly – is it analyzed? What’s a correlation? What does this report mean to you, and why should you take any notice of it? Often, misunderstandings arise regarding the interpretation of data and its causal relationship
Ranking Factor
The term “Ranking Factors” describes the criteria applied by search engines when evaluating web pages in order to compile the rankings of their search results. Ranking factors can relate to a website’s content, technical implementation, user signals, backlink profile or any other features the search engine considers relevant. Understanding ranking factors is a prerequisite for effective search engine optimization.
Explained Ranking Factors: Rank Correlations And Their Causal Interpretation
Since 2012, Searchmetrics has published our annual “Ranking Factors Study”. It’s an excellent report, and a lot of work goes into it from our statisticians, mathematicians, senior management and our ranking/search experts, gathering data from all around the world on what affects the rankings of a website. But, what is our definition of a “Ranking Factor”? How – exactly – is it analyzed? What’s a correlation? What does this report mean to you, and why should you take any notice of it? Often, misunderstandings arise regarding the interpretation of data and its causal relationships, so here is an explanation of the background and our approach to interpretation of the data. In clear English. For you.
Note: A high correlation does not necessarily mean it’s a ranking factor!
Correlations And Rank Correlation Coefficients
Every year we analyze the top 30 search results for 10,000 keywords – that’s nearly 300,000 URLs – in our Ranking Factors study. We analyze them using a number of factors that we expand from year to year – e.g. the number of backlinks, text length and keyword & content features. The underlying question is always: What differentiates pages that have climbed the rankings, as opposed to those who are placed further back in the SERPs? Do they have more backlinks / text / keywords / etc.?
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Since 2012, Searchmetrics has published our annual “Ranking Factors Study”. It’s an excellent report, and a lot of work goes into it from our statisticians, mathematicians, senior management and our ranking/search experts, gathering data from all around the world on what affects the rankings of a website. But, what is our definition of a “Ranking Factor”? How – exactly – is it analyzed? What’s a correlation? What does this report mean to you, and why should you take any notice of it? Often, misunderstandings arise regarding the interpretation of data and its causal relationships, so here is an explanation of the background and our approach to interpretation of the data. In clear English. For you.
Since 2012, Searchmetrics has published our annual “Ranking Factors Study”. It’s an excellent report, and a lot of work goes into it from our statisticians, mathematicians, senior management and our ranking/search experts, gathering data from all around the world on what affects the rankings of a website. But, what is our definition of a “Ranking Factor”? How – exactly – is it analyzed? What’s a correlation? What does this report mean to you, and why should you take any notice of it? Often, misunderstandings arise regarding the interpretation of data and its causal relationships, so here is an explanation of the background and our approach to interpretation of the data. In clear English. For you.
Since 2012, Searchmetrics has published our annual “Ranking Factors Study”. It’s an excellent report, and a lot of work goes into it from our statisticians, mathematicians, senior management and our ranking/search experts, gathering data from all around the world on what affects the rankings of a website. But, what is our definition of a “Ranking Factor”? How – exactly – is it analyzed? What’s a correlation? What does this report mean to you, and why should you take any notice of it? Often, misunderstandings arise regarding the interpretation of data and its causal relationships, so here is an explanation of the background and our approach to interpretation of the data. In clear English. For you.
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