Get the Statistical Edge in SEO

SEO is getting more complex

Search engines are deploying artificial

intelligence in the form of “machine learning”

creating a number of algorithms including Penguin and Panda

Panda for example uses Support Vector Machine (SVM) to classify content

(source: http://alumni.cs.ucsb.edu/~panda/publi

shed_papers/kdx-tkde.pdf)

SEOs don’t have the tools

All SEO tools and their data are based on modelling

PageRank

Whilst a domain’s authority is useful for evaluating links, the

models have no predictive value for Penguin and

Panda

Why MathSight is a Game Changer

MathSight uses sophisticated mathematics commonly used in Banking

and other industries (shown left) to predictively model a number of search

engine algorithms

Unlike correlation studies, MathSight’s modelling

allows us to identify models to find “signals”

that have a causal influence on SEO traffic from Google and other

search engines

SE signal extraction

MathSight regularly crawls websites and the external inbound linking web pages to extract “signals” much in the

same way a search engine does

Currently we have over 113 signals and by Q3 2014 we will have over 200.

MathSight uses the site’s analytics data (including traffic) to analyse

which signals are significant in causing gains and losses in traffic

Using the most appropriate technique (in the above case mean differences), we identify signals common to both web pages that gain or lose traffic from search

engines over time

Identify the signals

To ensure the signals are not coincidence, we use a variety of mathematical techniques including ANOVA to test for the signals’ causal influence

on SEO traffic

Test for significance

95% percent is deemed statistically significant and

influential

Evaluate links for disavow or removal in response to a penalty

Benefits: Applied SEO science

Get client “Buy in” to make website changes

proven to increase SEO traffic

Identify the sites (and the signals) powering

the top ranking competitors

Next steps

Contact Andreas Voniatis for more details:

andreas@mathsight.org+44 (0) 844 264 2960