Analyzing Reports in the new App + Web Property

Now that we’ve had data coming in to our new App + Web property for some time, I’d like to deep-dive on a topic near and dear to any analyst’s heart: Reporting. Being able to map what we see in an A+W property back to something we know in Universal Google Analytics is important to help us as analysts make (or rather, smooth) the mental transition. To do that, I’ll look at a few common reports from Universal Google Analytics and A+W for the same time period to compare and contrast. Keep in mind, they are collecting data in different ways, so it’s reasonable to see a difference in numbers for things like Users and Sessions. Before we begin, I want to take a moment to define some of the
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Step by Step: Setting up an App + Web Event Tag in GTM

In my last post, I showed you how to setup the new Google Analytics: App + Web Configuration tag. In this post, I’ll show you how to setup the next piece of the puzzle, the Google Analytics: App + Web Event tag. You’ll use this tag to setup all of your suggested and custom events that don’t come out of the box with Enhanced Measurement (more info on that here). Step 1: Select “Google Analytics: App + Web Event” from the new tag configuration pane   After you’ve successfully setup your “Google Analytics: App + Web Configuration” tag (see my last post for step by step directions), the next thing to do is to setup your first “Google Analytics: App + Web Event” tag. To do so, select “New Tag”
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Step by Step: Setting up an App + Web Config Tag in GTM

As a follow up to my first Step by Step post on App + Web, in this post, I’ll show you how to setup your first tag for App + Web to start collecting data via Google Tag Manager. My friend and GTM expert Simo Ahava has also posted about this in his A+W setup guide here, so be sure to check out that post as well.  Step 1: Select “Google Analytics: App + Web Configuration” from the new tag configuration pane  The first thing to do once you’ve opened Google Tag Manager is to select “New Tag” and choose from a couple of new tag types you’ll now notice in the slide out window. In this case, we’ll select the “Google Analytics: App + Web Configuration” tag. The “Google
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Step by Step: Setting up an App + Web Property

In this Step by Step guide, I’ll take you through the three steps you’ll need to go through to set up a new App + Web Property in Google Analytics. If you haven’t checked out my first post which goes into a detailed overview of this new property, I’d suggest stopping there first before continuing on with this article. First things first, for now (at least while it’s still in Beta), you’ll first need to create a Firebase project, and link to Google Analytics in order to get the new property to show up in Google Analytics. Step 1: Create a Firebase Project Start by going to console.firebase.com to either log into your Firebase account, or to get started creating your first project. To create a new project, Click ‘Create a
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Streamview in Google Analytics

One of the cool new reports coming over from Google Analytics for Firebase (GA4F) to the new App + Web Property in Google Analytics is Streamview. This is essentially Realtime 2.0 (if you’re familiar with the Realtime reports in Google Analytics).  What’s the difference? Realtime 1.0 (aka in Universal Analytics) is the original Realtime report in Google Analytics. You’ll recognize the iconic (though arguably not super beautiful looking) design below. It tells you how many people are on your site right now, what the referral source is, where they are geographically, what events are happening on site, etc. It doesn’t allow you to segment or dive deeper into that data though.  Streamview (aka Realtime 2.0) first made its appearance in GA4F, along with its counterpart, Debugview (a super cool tool
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Pathing in Google Analytics

As I mentioned in my post from yesterday talking about the new App + Website properties in Google Analytics, the Analysis section of Google Analytics has gotten even better! Why? Because Pathing is now available in Analysis! I know what you’re thinking… “but Krista, GA has had Behavior Flow and User Flow reports for forever, and they are terrible.” And yes, you’d be correct. The previous versions (still available in GA today) of flow reports never quite hit the mark. It’s no secret, I happily shared my opinions of their shortcomings on many stages while representing Google as the evangelist for Google Analytics. For my last 2 years at Google, I took on Product Management for parts of Google Analytics, including building out a new version of Funnels (similar to
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New App + Web Properties in Google Analytics

The wait is over, the new App + Web property feature has officially launched to open public beta! Do keep in mind this is still a Beta – the product is early, doesn’t yet have all the features we all want, and is changing regularly. And, the team wants your feedback! I’m super excited for where this new Google Analytics release is headed, and know there is a lot more to come to continue to improve what’s there. What does this mean? You can now create a new property type in Google Analytics that will allow you to combine App + Web data in the same property. This new type of measurement uses the same data schema as Google Analytics for Firebase (GA4F), and works hand in hand with GA4F,
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Goodbye, Google

As I sit here to put pen to paper on this post, I’m overwhelmed by all sorts of emotions. Sadness, excitement, fear, gratitude, and so much more. The past 6.5 years have been some of the best, and some of the most trying of my work life, but one thing is for sure, it is damn hard to leave Google. Sure, there’s the free food, the onsite amenities such as gyms, micro-kitchens, massages, and all those creature comforts that I’ve become so used to. There’s the business class international flights and nice hotels that budgets allow me to have when I travel (which I’ve been fortunate enough to do a lot of on behalf of Google). But it’s the scale of the work and the people I’ve been fortunate to
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Deep-Dive: Segment Overlap in Advanced Analysis

This is a follow on post to my first Introducing Advanced Analysis and my second deep-diving on the Funnels technique. If you haven’t checked those ones out yet, do so first. In this post, I want to walk through getting the most out of the Segment Overlap technique in Advanced Analysis. The Segment Overlap technique in Advanced Analysis is exciting for many reasons. In my opinion, it really stretches the capabilities of Google Analytics and takes us into a whole new realm of discovery and actionability. What do I mean by that? Highlights: Include up to 3 segments to compare visually and via table what the overlap of users (or whichever metric you desire) is Breakdown this overlap by a desired dimension. For example, breakdown the overlap of Organic Traffic
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