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

Click on the whiteboard image above to open a high-resolution version in a new tab!

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

Understanding and Applying Moz’s Spam Score Metric – Whiteboard Friday

Posted by randfish

This week, Moz released a new feature that we call Spam Score, which helps you analyze your link profile and weed out the spam (check out the blog post for more info). There have been some fantastic conversations about how it works and how it should (and shouldn’t) be used, and we wanted to clarify a few things to help you all make the best use of the tool.

In today’s Whiteboard Friday, Rand offers more detail on how the score is calculated, just what those spam flags are, and how we hope you’ll benefit from using it.








For reference, here’s a still of this week’s whiteboard. 

Understanding and Applying Moz's Spam Score Metric

Click on the image above to open a high resolution version in a new tab!

Video transcription

Howdy Moz fans, and welcome to another edition of Whiteboard Friday. This week, we’re going to chat a little bit about Moz’s Spam Score. Now I don’t typically like to do Whiteboard Fridays specifically about a Moz project, especially when it’s something that’s in our toolset. But I’m making an exception because there have been so many questions and so much discussion around Spam Score and because I hope the methodology, the way we calculate things,

Read the rest

April 3, 2015  Tags: , , , , , , ,   Posted in: SEO / Traffic / Marketing  No Comments

Spam Score: Moz’s New Metric to Measure Penalization Risk

Posted by randfish

Today, I’m very excited to announce that Moz’s Spam Score, an R&D project we’ve worked on for nearly a year, is finally going live. In this post, you can learn more about how we’re calculating spam score, what it means, and how you can potentially use it in your SEO work.

How does Spam Score work?

Over the last year, our data science team, led by 
Dr. Matt Peters, examined a great number of potential factors that predicted that a site might be penalized or banned by Google. We found strong correlations with 17 unique factors we call “spam flags,” and turned them into a score.

Almost every subdomain in 
Mozscape (our web index) now has a Spam Score attached to it, and this score is viewable inside Open Site Explorer (and soon, the MozBar and other tools). The score is simple; it just records the quantity of spam flags the subdomain triggers. Our correlations showed that no particular flag was more likely than others to mean a domain was penalized/banned in Google, but firing many flags had a very strong correlation (you can see the math below).

Spam Score currently operates only on the subdomain level—we don’t have … Read the rest

March 30, 2015  Tags: , , , , , ,   Posted in: SEO / Traffic / Marketing  No Comments

The Broken Art of Company Blogging (and the Ignored Metric that Could Save Us All)

Posted by evolvingSEO

The perception of success

The following screenshot is from an actual blog post. Based upon what you see here, would you call it successful?

I think it depends on perception.

The optimist might see this:

590 LinkedIn Shares

(This also might be what you put in reports to your boss) :)

The Twitter and Facebook manager might see this:

70 Tweets and 21 Likes

I see this:


Zero comments

Same blog post; three different measures of success. One looks great, one is OK, and my measure says its a fail.

But which perception is right? Which one would lead to better blogging decisions?

Let’s look at it another way. Here’s a the blog homepage of a known brand. Most people probably see it like this:

They scan:

  • pictures
  • titles
  • maybe a category or two

You might judge these posts based on whether the topics sound interesting, or if they are using high-quality unique photos.

Here’s how I see the same thing;

See the pattern?


Post after post receives 
no comments.

In fact, here’s how many comments this well-known brand received across 50 posts;

TEN! That’s an average of
0.2 comments per post. This is a well-known company, but I’m not here to call anyone out; it doesn’t matter who … Read the rest

July 22, 2014  Tags: , , , , , ,   Posted in: SEO / Traffic / Marketing  No Comments

One Content Metric to Rule Them All

Posted by Trevor-Klein

Let’s face it: Measuring, analyzing, and reporting the success of content marketing is
hard.

Not only that, but
we’re all busy. In its latest report on B2B trends, the Content Marketing Institute quantified some of the greatest challenges faced by today’s content marketers, and a whopping 69% of companies cited a lack of time. We spend enough of our time sourcing, editing, and publishing the content, and anyone who has ever managed an editorial calendar knows that fires are constantly in need of dousing. With so little extra time on our hands, the last thing content marketers want to do is sift through a heaping pile of data that looks something like this:

Sometimes we want to dig into granular data. If a post does exceptionally well on Twitter, but just so-so everywhere else, that’s noteworthy. But
when we look at individual metrics, it’s far too easy to read into them in all the wrong ways.

Here at Moz, it’s quite easy to think that a post isn’t doing well when it doesn’t have a bunch of thumbs up, or to think that we’ve made a horrible mistake when a post gets several thumbs down. The truth is, though, that … Read the rest

July 1, 2014  Tags: , , ,   Posted in: SEO / Traffic / Marketing  No Comments



TechNetSource on Facebook




TechNetSource » Metric