You may have heard that Google Data Studio has been given a rebrand. It’s now known as Looker Studio. Google Analytics (GA) has also been given an upgrade. GA4 is the latest and greatest iteration of the tool.
Together GA4 and Looker Studio combine to create fantastic and detailed visualisations. But if you’re new to using the tools, you might not be sure where to start. Don’t panic! This article is here to show you how to use GA4 with Looker Studio.
Today, we’ll be exploring the following areas:
This is a write-up of JJ Reynold’s talk at GA4ward. You can find a link to his Slides here. Here’s a recording of the webinar too:
There were a few problems with the older Universal Analytics (GA3). These included:
It’s fair to say these fallbacks were causing problems. People weren’t getting the data that they needed. Google tried to fix these issues in GA4.
GA4 brings the following solutions:
There are five main reasons why you might want to use Looker Studio:
The customizations in GA4 translate into Looker Studio. When learning how to use GA4 with Looker Studio, your planning – it is where you will get the most benefit.
Imagine you go to the grocery store. What do you see? Bell peppers, tomatoes, and a whole manner of vegetables. With these, you could make a delicious curry. You could make some fried food. Or, maybe you could make a tasty soup. Think about your GA4 visualizations in the same way.
You can take your events and parameters and build something that is unique to you. That’s the beauty of GA4.
The biggest thing to remember is that in GA4, everything is an event. As you can see in the image above, we have six page_view events. We can also see the time each event occurred and the session ID.
If you count all the session IDs that occurred at one O’clock we can see that there are two session parameters. But we also have six-page view events in the background; you’ll need to get your head around this when you start using GA4 and Looker Studio together.
When looking at your data, you should always have this question in mind. Here’s how you can tell the difference between the two.
Your data collection strategy will dramatically change your visualization. It will set you apart from your competition. But first, you need to master your data collection strategy. To improve your process, ask yourself these important questions each time you collect data.
➭ What information do you need to have to make an informed decision?
You probably haven’t seen these events before. That’s because they are custom events. As the image above shows, you can make any event you’d like.
As we’ve already established, each event is a conversion. But there are different levels of micro conversions.
You might have an inline blog post call to action. But did anyone see it? Furthermore, did anyone engage with your CTA? These are both forms of micro-conversions. You can set these up very easily in GA4.
But what about parameters? If someone has engaged with an offer, you’ll probably want to know which offer. This is where parameters come into play. You can modify your events with additional information, helping you to better choose a visualization in GA4 and Looker Studio.
Let’s look at the website LookerStudio.VIP. This is a content site, it contains some custom visualizations, lead magnets and a cheat sheet.
Above we can see some leads from the website that took place on a single day. From the image, we can see information about website content:
But you might be wondering, how did we get this information? Firstly, we created custom parameters (fs_name). Then we added event names for each micro conversion. It’s as simple as that.
Let’s drill a little further into the traffic. We can view by source, medium, and campaign. Want to only see organic traffic? We can easily do that here. Would you rather only see referral traffic? Again, at the click of a button, we can accomplish this.
We can now take this same information and build it into a visualization. As you can see, in the image on the left we have the image metric grid, and on the right, we have the cheat sheet. These are very different funnels, but they can be easily compared. Why? Because we’re only using two ingredients, the event name, and a single parameter.
An important point! – To access parameters in GA4 and Looker Studio using a direct connection, they need to be turned into a dimension! To do this, go to your Admin settings > Custom definitions > Create custom definitions for your parameter. You can then access this in Looker Studio via direct connection.
Another important point! – Events are not tied to parameters. What does that mean? In the image above you’ll see lots of values being sent with each event. The fact is, every event can have any parameter.
The ‘page_catergory’ event is really important. We’ll look at an example to illustrate why.
In the image above you can see our page categories. If we click the ‘pro tips’parameter, it will filter every single page that exists in that category. You can see all the clicks, scrolls, and other interactions that occurred. Just remember that events are micro-conversions that and parameters are modifications.
Things have gotten a little wild recently with API limits. Lots of people are asking themselves, ‘how can I get this to work?’. Let’s take a deep breath before we move on to the next stage.
GA4, Looker Studio, and the process of connecting the three are all free. But now we’re limited to 1250 core tokens per property, per hour. Put simply, we can only spend around 15 minutes building something before we hit the limit. We can only have ten requests at the same time. In other words, you’ll struggle if you’re building some really complex reports.
To put it mildly, this took everyone by surprise. But what are our options?
Google Tag Manager (GTM) sends information to GA4. From here we have a lot of options.
Option 1: GTMr>GA4>Looker Studio. With any type of complex reporting, you’ll hit the threshold very quickly.
Option 2: GTM>Ga4> A partner-hosted connector>Looking Studio. A partner-hosted connector will cash information to help you keep within the API threshold.
Option 3: GTMr>GA4>Big Query>Looker Studio. The problem with this solution is that BigQuery is complicated. If you have a developer team that can write in SQL, this option will work for you. Otherwise, you might need to look elsewhere.
Option 4: GTM>GA4>Big Query. This is the first step to this option. You’ll then need to put in a lot of effort and learn a new tool such as cloud Tag Manager. The only issue with this option is that it requires money. The days of the free connection seem to be almost gone.
Of all the options, option 4 seems to be the most feasible going ahead.
To put it in more simple terms, you have the following options.
Everything is an event. Visualizations require you to think of your data collection strategy. What events are you storing and what parameters are associated with them? Answering these questions is key if you want to create visualizations without anything messing up your numbers.
So, let’s be strategic. Because your strategy and GA4 are going to become more tightly knit than ever. GA4 has more limited default reports than Universal Analytics. That’s why you need to start customizing as soon as you can.
How are you strategizing beyond the basic page views and purchases? Without a proper strategy, you’ll put in time money and effort, but not get the results you need. Try to remember these important factors:
Bear these points in mind and you’ll build the best visualizations with GA4 and Looker Studio.
Want more? Check out our blog for tips on Google Analytics, and a whole host of other Google packages.
GA4 and Looker Studio, how to use GA4 with Looker Studio
JJ has worked alongside 1MM Startups, Multi-Billion dollar companies & everything in between to develop custom measurement & visualization solutions that dazzle everyone in the room. He and his team at Mediauthentic pride themselves on providing clients a true marketing data partner they can rely on and trust.
When not speaking or talking with the team, JJ can be found mountain biking in the scenic hills surrounding Lake Tahoe or working remotely from various coffee shops, carefully crafting his next witty blog post.
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