The purpose of this study is to identify the common characteristics of pages and sites with high rankings in Google . It has two parts: a survey of SEO professionals, and an extensive data-driven correlation analysis. Thanks to the help of its "Data Scientist", Dr. Matt Peters, a number of audience data partners, but also more than 150 SEO experts , Moz was again this year able to analyze the main factors that come into play. Study methodology The Moz study measures which attributes show which pages and websites rank higher in Google search results. For instance : The use of keywords; The page loading speed; The keywords used in the "anchors"; …and over 170 other attributes. Let's be clear: the study does not tell us if Google uses these different characteristics for its main “ranking” algorithm.
Rather it tells us what attributes characterize pages with higher rankings . It's a subtle but important distinction. In this study, Dr. Peters studied the top 50 results of 16,521 searches , which translates to over 700,000 unique URLs . The method used is described here . Of all the attributes studied, links are most strongly Whatsapp Mobile Number List with better rankings, and this despite rumors to the contrary… Top 10 takeaways from the Moz study 1. There is again a weak correlation between the use of keywords on a page and the ranking of the latter . A plausible explanation would be that Google better understands the “meaning” of pages (thanks to increasingly powerful “semantic” algorithms) without relying solely on keywords.
On the other hand the use of HTTPS (secure protocol) has a very weak positive correlation . Page response time and URL length factors have a negative impact. 3. Despite persistent rumors to the contrary, Moz observes a still very high correlation between Google rankings and the number of links ("backlinks") pointing to a given page. 4. Exact Match Domain names also have a positive impact on rankings. 5. The study shows a weak link between the type of domain/.tld (.com, .org, etc.) and rankings in Google. 6. The number of links pointing to the root and the sub-domain of a site also has a positive impact to be distinguished from links pointing to a given page of the site, whose impact is greater.