SEO Ranking Factors & Correlation: What Does It Mean When a Metric Is Correlated with Google Rankings? – Whiteboard Friday

Posted by randfish

In an industry where knowing exactly how to get ranked on Google is murky at best, SEO ranking factors studies can be incredibly alluring. But there’s danger in believing every correlation you read, and wisdom in looking at it with a critical eye. In this Whiteboard Friday, Rand covers the myths and realities of correlations, then shares a few smart ways to use and understand the data at hand.

SEO Ranking Factors and Correlation

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Video Transcription

Howdy, Moz fans, and welcome to another edition of Whiteboard Friday. This week we are chatting about SEO ranking factors and the challenge around understanding correlation, what correlation means when it comes to SEO factors.

So you have likely seen, over the course of your career in the SEO world, lots of studies like this. They’re usually called something like ranking factors or ranking elements study or the 2017 ranking factors, and a number of companies put them out. Years ago, Moz started to do this work with correlation stuff, and now many, many companies put these out. So people from Searchmetrics and I think Ahrefs puts … Read the rest

January 5, 2018  Tags: , , , , , , , , , ,   Posted in: SEO / Traffic / Marketing  No Comments

Latent Dirichlet Allocation (LDA) and Google’s Rankings are Remarkably Well Correlated

Posted by randfish

Last week at our annual mozinar, Ben Hendrickson gave a talk on a unique methodology for improving SEO. The reception was overwhelming – I’ve never previously been part of a professional event where thunderous applause broke out not once but multiple times in the midst of a speaker’s remarks.

Ben Hendrickson of SEOmoz speaking at the London Distilled/SEOmoz PRO Training
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Ben Hendrickson speaking in last Fall at the Distilled/SEOmoz PRO Training London
(he’ll be returning this year)

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I doubt I can recreate the energy and excitement of the 320-person filled room that day, but my goal in this post is to help explain the concepts of topic modeling, vector space models as they relate to information retrieval and the work we’ve done on LDA (Latent Dirichlet Allocation). I’ll also try to explain the relationship and potential applications to the practice of SEO.

A Request: Curiously, prior to the release of this post and our research publicly, there have been a number of negative remarks and criticisms from several folks in the search community suggesting that LDA (or topic modeling in general) is definitively not used by the search engines. We think there’s a lot of evidence to suggest engines do use these, but we’d be … Read the rest

September 6, 2010  Tags: , , , , , , ,   Posted in: SEO / Traffic / Marketing  No Comments



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