Google Analytics 4 has been out for a while now. So, we decided to check it out and pick out some key differences you need to take note of if you’re moving from Universal Analytics to GA4.
Google Analytics 4 is out there in the world. And for most marketers, getting to grips with it is taking time. Especially since Google Analytics is still available to use.
But if you are thinking of migrating, have no fear, we’ve done the hard work for you. Here are some of the key differences you need to know before you switch from Google Analytics to GA4.
Keep reading for our top findings around:
1. Reporting interface
2. Measurement model
4. Bounce rate and engagement rate
5. IP anonymisation
6. Landing page reports
7. App and site monitoring
8. Attribution modelling
9. BigQuery schema
10. Data retention
Before we dig into what the differences are between Universal Analytics and Google Analytics 4, the first question to ask is “should I quit Universal Analytics and move straight to GA4?”
The short answer is no. Ideally, you want to set up GA4 and use it alongside Universal Analytics.
GA4 hasn’t rolled out all of its capabilities yet – capabilities that you’ll be missing from Universal Analytics if you turn it off and move. Plus, as you’ll see later in the blog, you’re getting different data between Universal Analytics and GA4.
So our recommendation is to get started with GA4, even if you just copy your Google Analytics property and make sure to do dual tagging. Then, when GA4 features are further along, you’ll be ready to make the move.
Now, let’s go through the major differences between Universal Analytics and Google Analytics 4 so you can make the decision for yourself.
At first glance, the differences between Universal Analytics and Google Analytics 4 seem enormous as the reporting interfaces are very different. This is because many of the reports and metrics you’re familiar with have either been removed or replaced.
When first logging into GA4, you may also notice considerably fewer reports than Universal Analytics. But don’t worry just yet; GA4 reports are mostly generated once you start tracking events that require some manual set-up.
In Google Analytics 3, you can have up to 25 reporting views to give you control of your data. For Google Analytics 4, there is only one reporting view available.
But don’t worry, you can create new ‘Audiences’ and ‘Data streams’ and use these in place of filtered views.
GA3 (Universal Analytics) uses measurement based on sessions and pageviews whereas GA4 uses a measurement model based on events and parameters. We’ll get into what this means a little later on.
What’s important is that every activity taken by a user will be counted as an ‘event’ in GA4. It means that you’ll end up with much more detail on how users are engaging with your website.
In Universal Analytics, a session is a combination of page views, events, transactions or more taken by one user within a given timeframe. You can think of a session as a container for all the actions a user takes while on your site.
In contrast, Google Analytics 4 sessions aren’t limited by time. Since it doesn’t create new sessions for source changes mid-session, your session count will likely be lower.
Given this change, your average session time will drastically change too. And remember, average pages per session is no longer measured in GA4.
One big change is that Google Analytics 4 doesn’t measure bounce rate at all. Instead, you’ll find yourself tracking a new metric: engagement rate.
Instead of only looking at visitors who don’t move to another page on the website, engagement rate also considers the time spent on the landing page. This difference makes engagement rate and bounce rate incomparable.
Google Analytics 4 offers a range of engagement metrics including engaged sessions, engagement rate and engaged sessions per user.
Under GDPR, your IP address is considered personal data. In Universal Analytics, you had to actively configure GA to anonymise IP addresses so that you could comply with GDPR legislation.
However, with Google Analytics 4, IP addresses are automatically anonymised.
Another metric missing as we move from Universal Analytics to Google Analytics 4 is landing page reports.
However, you can easily find out how many times the ‘session_start_ event’ was triggered on a particular page (this is what GA4 uses to trigger new sessions). This is an easy workaround to essentially create your own landing page reports.
Mobile app owners rejoice, you no longer have to measure your apps separately from your websites. So with GA4, you can accurately track cross-platform data between your site and app.
Many marketers use Google attribution to get a basic understanding of how marketing drives sales and revenue. This feature is noticeably missing from GA4.
Related: Want better attribution modelling? Find out how Ruler Analytics can attribute your closed revenue to your marketing channels and campaigns.
If you’re using BigQuery, then you’ll be pleased to hear that GA4 natively connects to it. However, the native connector’s schema is completely different from Google’s Universal Analytics schema.
So, you may need to spend some time remapping your GA4 data before you can move it into BigQuery.
Once you’ve done it, running SQL queries should be much easier as data is stored much more neatly.
While Universal Analytics stores your data pretty much forever, Google Analytics 4’s data expires after 14 months.
In Universal Analytics, you can choose your data retention, with options: 14 months, 26 months, 38 months, 50 months and Do not automatically expire.
But with Google Analytics 4, you only have two options: 2 months and 14 months.
While year on year comparison will still be possible, accessing your historic data will no longer be possible. However, if you start moving your GA4 data to BigQuery early, then you’ll be able to retain historical data.
Even though it’ll take Google some time to fully roll out features into GA4, it’s a great idea to start integrating its data into your reporting.
And remember, if you need to plug the attribution gap in the meantime, Ruler Analytics is a valid substitute. Learn more about how Ruler works and how it can support your marketing strategy.
Want more insights straight to your inbox? Sign up for our newsletter to stay up to date.