How to Measure Performance with Custom Dimensions in Google Analytics [Tutorial]

Posted by tombennet

Data-driven marketing means understanding what works. This means not only having accurate data, but also having the right data.

Data integrity is obviously critical to good reporting, but Analytics auditing shouldn’t focus solely on the validity of the tracking code. Even amongst digital marketing teams who place importance on reporting, I frequently encounter the attitude that a technically sound, out-of-the-box implementation of Google Analytics will provide all the insight you could require.

Because of this, Google Analytics is rarely used to its full potential. When it comes to deeper insights — analyzing the ROI of top-of-funnel marketing activities, the impact of content engagement on raw business KPIs, or the behavior of certain subsets of your audience, for example — many will overlook the ease with which these can be measured. All it takes is a little investment in your tracking setup and a careful consideration of what insight would be most valuable.

In this article, I’ll be exploring the ways in which the Custom dimensions feature can be used to supercharge your Google Analytics reporting setup. We’ll run through some practical examples before diving into the various options for implementation. By the end, you’ll be equipped … Read the rest

June 13, 2017  Tags: , , , , , ,   Posted in: SEO / Traffic / Marketing  No Comments

Using Term Frequency Analysis to Measure Your Content Quality

Posted by EricEnge

It’s time to look at your content differently—time to start understanding just how good it really is. I am not simply talking about titles, keyword usage, and meta descriptions. I am talking about the entire page experience. In today’s post, I am going to introduce the general concept of content quality analysis, why it should matter to you, and how to use term frequency (TF) analysis to gather ideas on how to improve your content.

TF analysis is usually combined with inverse document frequency analysis (collectively TF-IDF analysis). TF-IDF analysis has been a staple concept for information retrieval science for a long time. You can read more about TF-IDF and other search science concepts in Cyrus Shepard’s
excellent article here.

For purposes of today’s post, I am going to show you how you can use TF analysis to get clues as to what Google is valuing in the content of sites that currently outrank you. But first, let’s get oriented.

Conceptualizing page quality

Start by asking yourself if your page provides a quality experience to people who visit it. For example, if a search engine sends 100 people to your page, how many of them … Read the rest

April 15, 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

Social Authority: Our Measure of Twitter Influence

Posted by @petebray

[This blog post is co-authored by Social Authority, our metric of Twitter users’ influence. There are plenty of vanity metrics out there, but Social Authority offers something compellingly different.

Social Authority Helps Marketers

Social Authority is not about bragging rights or merchant discounts. Nor is it something that you check once and then forget about. Our metric is immediately, reliably useful. You can order all active Twitter users by influence, dissect your social graph, or find new followers who are most important — right now.

But it’s more than just exploring your own followers (or those of a competitor): Social Authority is ultimately a measure of influential activity. As such, it highlights content that is successful on Twitter. When you find users with high Social Authority, you’re finding great marketing strategies to analyze and mimic. And we think that this will help you be more successful with Twitter.

Finally, Social Authority is transparent. We could use all sorts of fuzzy words to explain how we compute our score, but we recognize that marketers need to see the “man … Read the rest

February 13, 2013  Tags: , , , ,   Posted in: SEO / Traffic / Marketing  No Comments



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