Influence Finder, putting Science into SEO

Link Building Outside Of The Box The Appliance Of Link Science With

To define a scientific methodology that reduces massive lists of potential linking partners…
to actionable lists of relevant authorative sites that improve search engine rankings
Our Objectives

Firstly – who’s got most backlink data?

Working with Econsultancy
We exported the backlink information from Google Webmaster
Then looked for commonality of linking domains against MajesticSEO & Linkscape
Methodology

Google Webmaster Tools MajesticSEO Moz Linkscape InfluenceFinder Commonality Linkscape 1,041 Domains 337 In GWM Google Webmaster (GWM) 5,189 Domains MajesticSEO 8,448 Domains 2,051 Domains In GWM 4,123 Domains Refreshed & Enlarged Sub-set Of Majestic SEO 1,681 In GWM

Evidence suggests Google Webmaster Backlink Export does not provide all the links that Google knows about
We will be producing more research on this as we increase the sample size
Either way, the list size is too big
Learnings

Lets clean it with some science Moving Beyond A Big List

Fresh Data
We had our bots re-index the backlink page data ensuring it’s fresh
Our aim is to turn interesting fresh data into useful data for link builders
We use a lot of science to filter and clean the list – here are two techniques
The Science Approach

Why
Because we know that blogs are good and accessible link targets
How
Using Decision Trees we can detect blog presence to 94% accuracy
Finding Blogs

When our bots read site source code we use decision trees to maximize the probability of our answer to questions like ‘is this site a blog?’ being correct
Statistical techniques like decision trees provide 94% accuracy
Using the decision tree technique on the eConsultancy link structure…
Blog Decision Trees

New smaller list
2,723 blogs to be precise (from 8,400 domains examined by our bots)
But we wanted to qualify even further
We wanted to find those who had a “heartbeat”
So lets apply some more science
Back To Econsultancy Data

Filtering sites by their publishing frequency is strong filter
So we looked at frequency updates in the eConsultancy linking blogs
Also filter by whether feed or natural publisher
Some Feed, Some Natural Lapsed Bloggers Likely To Be Natural Auto Feed Publishers & Natural High Volume Some Of Our Heartbeat Algorithm

Did the science work then?

Science can turn large lists of link prospects into accurate, actionable lists.
Better lists result in more conversations with the sites that matter
Using our science, what took MyDeco a day, took them just an hour
Conclusion

Influence Finder, putting Science into SEO

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