To understand the algorithm of the search engine, there are many smartest search marketer experts who runs correlation studies every 2 years. We are trying to pile up the information to achieve an accurate view of the factors that helps or hurts your website visibility in Google and other search engines. Please observe that these factors are not the proof of process by which the search engines use for ranking a website but just reveals the features of webpages that generally rank higher. In this year 2013, experts surveyed over 100 top search marketer experts gave their estimation on more than eighty ranking factors. The result of our Correlation Study of 2013 is given below. To understand the chart below, you need to choose 1 of the 10 categories at the top of the chart.
Search Engine Correlation Data
- Page Link Authority Features
- Page Level Social Metrics
- Page Level Keyword Usage
- Page Level Keyword Agnostic
- Domain Link Authority Features
- Page Level Anchor Text
- Domain Level Keyword Agnostic
- Domain Level Keyword Usage
- Domain Level Brand Metrics
- Domain Level Anchor Text
1. Page Link Authority Features
This feature explain the link metrics to each and every ranking page, for example number of links. Page authority is a process that predicts the ranking capability from links. And it has highest correlated factor (0.39) according to our study.
2. Page Level Social Metrics
This feature is connected to the third-party metrics from all the social network sources such as Google+, Facebook, Twitter etc. for the ranking page. Social signals is another highest correlated factors, where Google+ is giving a greater effect than Facebook and Twitter. For this reason, we always suggest our clients to take Link Pyramid Special and Link Pyramid PRO due to the social signal. This PRO and Special is developed after the huge study on the Google Penguin 2.0.
3. Page Level Keyword Usage
This characterize describes the use of keywords term per phrase in a specific sector of the html code on the page, example like title element. H1s, alt attributes, and many more. These data calculates the relation among both the keyword and the document with TF-IDF score & the language model score. We understood that the title and tag, also the body of the HTML, Meta description and the H1 tags all had comparatively high correlation.
4. Page Level Keyword Agnostic
This topic explains the characteristics of every pages for non-keyword usage and non-link metrics like length of the page and load speed. In this latest update of Google penguin 2.0 2013 the data showed an amazing negative correlation (-0.10) to page response time.
5. Domain Link Authority Features
This Domain Link Authority Features explain link metrics about a root domain hosting of the site (such as, about a page www.domainname.com/D, these are the features those are for links targeting to *.domanname.com, not just page D). In the year of 2011, metrics that grabbed a diversity of link sources of C-blocks, IPs, domains had high correlations. At the domain/subdomain level, subdomain correlations are greater than domain correlations.
6. Page Level Anchor Text
This is a very important factor to describe anchor text metrics both partial & exact match to the every page for example, no. of partial match anchor text (PMAT) links, exact match links. Or else Google will penalize your site due to over optimizing anchor text, according to our study, we got high correlations with both partial and exact match anchor text to the URL, 0.29 correlation of the no. of root domains connecting to the pages with PMAT.
7. Domain Level Keyword Agnostic
Domain Level Keyword Agnostic relates to the entire root domain (RD), but it does not directly describes the links or elements which is based on keywords. Instead of that, they make a connection to the things like the length of the characters of a domain name. None of these factors were very important but we got a negative correlation (-0.09) with the domain name length.
8. Domain Level Keyword Usage
Domain Level Keyword Usage is a feature that covers the amount of impact this might effect on search on the search engines for the keywords in the root domain and also in the subdomain. The ranking opportunity of exact match domains (EMD) and partial match domains (PMD) has been a heavy topic for discussion for visibility in the search engines. The correlations of the EMD is approximately 0.16 but the dot-com EMD is relatively higher correlations 0.20.
9. Domain Level Brand Metrics
Domain Level Brand Metrics carries the meaning of the quality of branding and brand metrics for the root domain. During the investigation, we recorded the name of the domains given in the Fresh Web Explorer. The correlations of the full domain name falls in between 0.17 and 0.20.
10. Domain Level Anchor Text
Domain Level Anchor Text describes the anchor text metrics for partial match & also exact match about the root domain hosting page. Such as, about a page in www.domain.com/page, these features are for anchor text links pointing to www.domain.com, just not in www.domain.com/page.