Web + App = Unified Measurement with Google Analytics

This announcement has us rather excited at Measurelab. It has been a long time coming and represents the beginning of a completely new shift in how we use and think about digital measurement with Google Analytics.

What we are effectively looking at here is a move away from Google Analytics as we know it, which inherited its underlying data collection schema and methods from Urchin Analytics; the analytics software product Google bought and subsumed way back in 2005. While Urchin was officially discontinued in 2012, the “web page” paradigms upon which the analytics product was founded continued through the present day product of Google Analytics. Page views are increasingly becoming less relevant as technologies such as Reactjs and Nodejs allow for User Interfaces to be uniquely displayed for any given experience, as a collection of micro-moments. Measuring interactions using a clunky combination of page view hits and event hits (with an attached 3-tier nested taxonomy of Category / Action / Label) has been becoming increasingly cumbersome and unwieldy.

Enter stage left, the next generation of measurement paradigm – events. Yup – that’s all we need. Just events. This isn’t anything new in the world of analytics; tools like segment, mixpanel, heap, in fact pretty much all the modern analytics tools I can think of have always been measuring using an event based schema. But for Google Analytics, this is quite a shift.

As it stands, this isn’t going to replace the features you see in your current Google Analytics web property for some time (we estimate 12-24 months). This is very much in beta and is only being recommended to be implemented as a dual-tag (i.e. alongside your existing implementation). If you have a website and an app, with a login (i.e. a User-ID) on both, then the beta launch can immediately glean you insights for cross-device usage, with the “Web + App” data stream. But I wouldn’t rush out to immediately replace any of your GA tags for your website quite yet.

If you have a mobile app, running Google Analytics for Firebase, then you will find that you already have implemented the underlying tech that will become just Google Analytics. That means that the limits and methods of working you may have become familiar with when using “Google Analytics for Firebase” will become the basis for how you use the new Google Analytics product. And we are particularly interested to see how the ability to export raw data from Firebase Analytics to Google BigQuery will play out for this new version of Google Analytics.

At present, just as with Google Analytics for Firebase, there are no hit limits (but you are limited to 50 parameters) and there’s no sampling in the reporting interface. The concept of a session/visit currently does not exist in these reports; good-bye conversion rates!(?)

In the reporting UI, an “Analysis” tool is included – something that was only available before in GA360. This opens up exciting possibilities for data exploration, dynamic funnel reporting and path analysis.

The Exploration technique allows you to visualize your data with drag and drop ease
Exploration
Understand how users engage with a sequences of key events on your app and website using the Funnels technique
Funnel Analysis
Visualize actions taken on the users’ path to conversion with the Path analysis technique
Path Analysis

Regarding the implementation, everything hinges off the dataLayer – whether that be created by gtag.js or Google Tag Manager. This means that automated event tracking (for events such as scroll depth, video, outbound clicks) becomes a reality:

Enhanced measurement helps you measure events with the flip of a toggle

Right now, things are very much in beta and the main reason you would implement this new method is to benefit from the “Web + app” cross platform measurement. Other reporting and analysis features are set to roll-out – particularly for Web, so watch this space!

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Written by

Mark Rochefort

Mark is the Managing Director of Measurelab overseeing a team of keen, lean analytics experts. Mark has been working in digital since the 90s. He has a technical management background – having worked in senior techie roles in digital media and marketing.

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