Tag Archives: Correlation does not imply causation

Web Crawler Ranking Factors 2013 – Time to Come Up in Searches

11 Oct

Consistent with overview in every two years, over 100 top industry experts to assemble our biennial Search Engine or web crawler Ranking Factors. For 2013, the study with true correlation data from a scientific examination of over 17,000 indexed lists.

ranking factor

Why call as Ranking Factors?

Google claims to use over 200 signs in its search algorithm. While we don’t realize what precisely these signs are, it’s supportive to examine high ranking pages with the intention that we can start to understand the characteristics for pages web indexes jump at the chance to remunerate. This can give us an “insight” as to the ranking factors the search engines truly utilize.

“Correlation is not causation however it beyond any doubt is an indication.”

Case in point, if the correlation information reveals to us that high-ranking pages are connected with a high number of external backlinks, we may speculate that backlinks are still a vital part of Google’s algorithm.

On the other hand, the correlation information doesn’t dependably indicate us an immediate ranking factor (causation), however rather just focuses us towards the attributes of high-ranking pages. For instance, this year information demonstrates an amazing relationship between the amount of Google+1’s and higher rankings, yet Google agents state +1’s aren’t utilized within the algorithm.

This doesn’t mean offering on Google+ isn’t important, however does let us know we might as well give careful consideration to why pages with a lot of +1’s are likewise pages that have a tendency to rank higher in search results.

This post and outline aides show the distinction between correlation and causation:

ranking factor

This practically illustrates the need to not bounce to conclusions with correlation information, for while we think Google might utilize social information within its hunt algorithms, its additionally correct that pages that get countless offers likewise have a tendency to gain a high number of links.

Simply since a metric is quite connected, doesn’t mean Google utilizes that metric straightforwardly.

This is the by and large Google’s algorithm breaks down taken from the respondent’s survey:

• Domain level authority link metrics (20.5)

• Page-level join metrics (19.31)

• Page-level keyword and subject based (14.87)

• Domain level mark measurements (8.83)

• User utilization and traffic/query information (8.28)

• Page-level social measurements (7.28)

• Domain level keyword use (6.74)

• Domain level, keyword skeptic characteristics (5.26)

However, SEOs feel that the universal ranking factors, for example the anchor text and careful match area will soon grow dim as different elements takes a risk in the search engine, for example the webpage’s recognized worth to users, authorship, organized info, social sites and many more.

Posted By: Pooja Runija