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Google Analytics

Google Analytics Users: Two Calculations

May 23, 2016

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“Users” is easily one of the most frequently used metrics in Google Analytics. We love it because it gives us information that spans multiple sessions. However, the Users metric in your Audience Overview will often differ from your actual User count.

Noteworthy Features of Firebase Analytics

May 19, 2016

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The Google I/O conference is always full of fun announcements, and this year is no different! One announcement that really caught our eye was about Firebase, which is now becoming a “unified app platform”. Leveraging and building on the real-time database, user authentication, and cross-device tools that Firebase already has, this announcement adds analytics, error […]

Integrating AngularJS and Google Tag Manager

May 4, 2016

If you’ve added Google Tag Manager and Google Analytics to an Angular app, you were in for a surprise. After deploying your code, you may have popped open the Real Time Reports and saw… nothing.

Well, not nothing, but not a whole lot of anything. Where are the page paths? Hell, where are the pageviews? You dove into the Google Analytics and came back disappointed. Finally, you hit the search results – someone, somewhere had to know what to do.

Google Analytics Shortcuts and Tips to Save Time

April 27, 2016

When you use Google Analytics as much as we do at LunaMetrics, even small improvements in efficiently using Google Analytics can multiply into more time spent on implementation, analysis, and interpretation. Simply put – spend less time pulling the reports and more time using the reports!

Scroll Tracking in Google Analytics: Why & How to Implement

April 25, 2016

Let’s start with a simple question – Are people reading the content on your site? You might think, “Well, that’s silly! Obviously people are reading my content! It’s amazing content!” Of course it is … but how do you really know people are reading it? Are they reading the entire article or only the first paragraph or two?

Compare Actual vs Predicted Data with Google Analytics and CausalImpact

April 21, 2016

Google Analytics (GA) is a great tool for collecting and analyzing web site data, but it’s not without its limitations. If you need to run more advanced analyses, you probably find yourself pulling the data out of GA and putting it into other complementary tools, such as R, Tableau, Shufflepoint (and more!). Today’s focus will be on CausalImpact, an open-source package in R developed by the data gurus themselves (Google).

Avoid the Data Doldrums: 3 Ways to Stay On-Course in Analytics

April 20, 2016

You have a client that started a betting pool. They need to determine how many transatlantic ship voyages ended in calamity. They really want to win and are willing to devote all resources at their disposal to win the $500 prize and a pizza. They are willing to split the pizza with you. Their resources include your wits and the internet. Very excited at the prospect of a free lunch, you dive into the task at hand.

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