Analysis of SEOmoz Correlation Data
Rand Fishkin of SEOmoz discusses his analysis of SEOmoz Correlation Data with observations about correlations of common SEO factors and their impact on rankings. There are some very interesting conclusions drawn which could lead to actionable steps for improvements.
Whiteboard Fridays are an informative, free video resource focused on topics of interest to SEO practitioners and accessible to anybody online. In this Whiteboard Friday video, Rand Fishkin of SEOmoz presents a preview Analysis of SEOmoz Correlation Data generated from a recent set of over 11,000 search results studied across Google and Bing.
The video is organized into an introduction on the difference between correlation and causation as illustrated in the creative example. The remainder of the video goes through three key takeaways from studying the large data set. Those three takeaways include:
- Google and Bing search algorithms similar for many basic SEO factors such as a number of linking root domains, keywords in the title, keywords in the domain, document length, and others. The good news is that you’d don’t have to build content optimized separately for each search engine.
- Facebook shares very highly correlated with higher Google rankings which suggests that users who are able to engage users to share from their web content will likely see benefits in rankings
- nofollow links were shown to have a negative correlation
which means that sites which had links that included no follow links performed better in the search results then those that had only follow links, validating the value of securing no follow links.
We hope you find the video below both interesting informative and will put some of the correlation data to use in your SEO practices.