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 \nAuthors  \nMarcus Tober  \nDr. Leonhard Hennig Daniel Furch  \n| |  | \u003Cbr>  [Google.com](Google.com)\u003Cbr>\u003Cbr>\u003Cbr>|\n| --- | --- | --- |\n| | |  |\n\nWhitepaper  \nSEO Ranking Factors and Rank Correlations 2014  \n-Google U.S. -  \n[Google.com](Google.com)  \nAuthors: Marcus Tober, Dr. Leonhard Hennig, Daniel Furch  \nNote  \nThis white paper deals with the definition and evaluation of factors that have a high rank correlation-coefficient with organic search results, and acts as a deeper analysis of search engine algorithms. Data collection, including evaluation, refers to ranking factors for the U.S. index of Google. com in 2014.  \nIn addition, correlations and other factors, based on mean and median values and trends from previous years, with respect to their relevance for forward search result positions, have been interpreted.  \n2  \nSEO ranking factors and Rank correlations 2014-Google U.S. - Searchmetrics  \nAbout Searchmetrics and Searchmetrics SuiteTM  \nSearchmetrics is the pioneer and leading global enterprise platform for search experience optimization. Search Experience Optimization combines SEO, content, social media, PR and analysis to create the foundation for developing and executing an organic search strategy. It places the spotlight on the customer, contributing to a superior and memorable purchase experience.  \nEnterprises and agencies use the Searchmetrics Suite to plan, execute, measure and report on their digital marketing strategies. Supported by a continually updated global database, Searchmetrics answers the key questions asked by SEO professionals and digital marketers. It delivers a wealth of forecasts, analytic insights and recommendations that boost visibility and engagement, and increase online revenue. Many respected brands, such as T-Mobile, eBay, Siemens and Symantec, rely on the Searchmetrics Suite.  \nSearchmetrics has offices in Berlin, San Mateo, New York, London, and Paris, and is backed by Holzbrinck Digital, Neuhaus Partners and Iris Capital.  \nSEO ranking factors and Rank corre lat ions 2014-Google U .S . - Searchmetrics  \nInfographic: Google Ranking Factors in 2014  \nSEO ranking factors and Rank corre lat ions 2014-Google U .S . - Searchmetrics  \nSummary of Results: Abstract  \nHigh quality, relevant content is increasingly the focus of search. This type of content ranks better on average, and is identifiable by properties such as a higher word-count and semantically comprehensive wording, as well as often being enriched by other media, such as images or video. Regarding content features analyzed in this study, both correlations and average values have increased compared to 2013.  \nFor on-page SEO, the keyword is still vital, but the trend is moving away from a single subject/ keyword towards entire topics. Almost all keyword factors diminish slightly regarding averages with this approach, but correlations are not always affected negatively.  \nFundamental to a good ranking is the technical performance of a page. These factors include robust site architecture with good internal links, short loading times and the presence of all relevant Meta tags, such as Title and Description  \nThe correlation for technological features is often low, or near zero, but as these are often binary features with very high average values over the top thirty rankings, the performance of these factors to ensure good ranking is still mandatory.  \nIn contrast, social signals stagnate easily, resulting in decreasing correlations for those networks investigated. Averages grew a little compared to 2013.  \nThe quantity and quality of backlinks remains crucial. Here, many new features are introduced this year, and many features have been revised to improve the quality of the results. The correlation between ranking and backlink features is often high.  \nAs in previous years, the importance of ‘brand’ runs through the study – but had to be remodeled and redefined","cbCaitoini8JNlHx","https://ap.wps.com/l/cbCaitoini8JNlHx","pdf",11770410,83,"English","# Summary of Results: Abstract\n## Content\n## What Is A Ranking Factor?\n## Causality ≠ Correlation\n## Factors\n## The Data Used\n## Database For Searchmetrics Ranking Factors\n## ONPAGE TECHNOLOGY\n## ONPAGE CONTENT","[{\"question\":\"本書の主な目的は何ですか？\",\"answer\":\"2014年のGoogle U.S.のオーガニック検索結果に対し、順位相関が高いランキング要因を定義・評価し、検索エンジンのアルゴリズムを深掘りすることが目的です。\"},{\"question\":\"2014年のコンテンツ要因はどう評価されていますか？\",\"answer\":\"平均的に高品質で関連性の高いコンテンツがより良い順位を取りやすく、語数の多さや意味的に包括的な表現、画像や動画などの他メディアによる補完が特徴として挙げられています。\"},{\"question\":\"相関と因果関係は同じ意味ですか？\",\"answer\":\"相関は因果をそのまま示すものではありません。説明されている相関は因果関係として一律に解釈されるべきではないとされています。\"}]","SEO Ranking Factors and Rank Correlations 2014 - Google U.S. - Searchmetrics | PDF",1789265139,29]