UA vs GA4: A Complete Tour of Google Analytics 4

universal analytics announcement
2005: Google acquires a platform called Urchin. Urchin was used to “beautify” log files and make them more palatable at a time when log files were our only source of data.
ga4 engagement panel
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Table of contents

History of Google Analytics

In comparison, at the beginning of 2021, 85% of people had smartphones, there were 4.5 million apps in the App Store and 8.50 billion was spent on e-commerce in 2019. Oh, and there are very few “mobile websites” left as Google had already rolled out mobile-first indexing.
You can create dashboard-esque reports using the Explorations in GA4. I like to say that Exporations is the love-child of custom dashboards from Universal and user interface of Data Studio.
First and foremost, here are the differences between UA and GA4 with regard to user data and data sources.
If there is an event that you’d like collected but doesn’t fall under enhanced measurement, you may be able to set it up right in the GA4 platform using conditions and parameters. Parameters are pieces of information sent alongside events that provide context on the user or user action.
screenshot of old google analytics - urchin
I highly encourage you to get out there and play around in GA4. It may be uncomfortable, but I assure you it’s much more like UA than you think it is, just a bit more sophisticated. And who could be mad about that?
google analytics 4 new event creation
For the last few years, Google has been working on its tools. With the rollout of Universal Analytics, it rolled out its multi-channel funnel tools. Then, in December of 2019, it rolled out its Attribution Project tool which allowed users to access a group of tools surrounding attribution and conversion.
In Universal Analytics, behavior metrics were included in almost every report. These metrics included bounce rate, pages/session, and average session duration.
funnel vs flywheel
March 2022: Google announces that as of July 1, 2023 Universal Analytics will stop collecting new data—meaning you will have to switch to GA4.
Previously, if someone wanted to access predictive analytics, they would have to pay for another tool or create them themselves. But, no more! GA4 introduced predictive analytics for LTV, churn probability, likely churners, likely top spenders, likely purchases, purchase probability and more.
NOTE: Even though this switch isn’t happening for another year, it’s important to note that your data will not migrate over from UA to GA4. So if you want to have a year’s worth of historical data, your best bet is to switch to GA4 now

In GA4 you now have the option to link to Google Merchant Center, Google Optimize, and BigQuery natively and for free!

When GA4 was released, insights were baked into the platform more than ever. Not only are insights available and highlighted throughout the platform, but new machine learning tools were also introduced!
And that’s why you start from zero when switching from UA to GA4.

UA vs GA4: Data collection & privacy

When you compare the information available in Universal Analytics and Google Analytics 4, not too much has really changed. It may look like GA4 has more information on users, but UA has the same information, it’s just tucked under the “Audience” tab.


  • No IP addresses. The most notable change in GA4 is that IP addresses are no longer collected or stored. In Universal Analytics, you were able to see IP addresses unless you physically went in and anonymized them. This is the first of many changes made to protect user data.
  • Easier data deletion which allows admins to delete data at the request of any user(s).
  • Data retention options allow you to choose how long GA4 can store user-specific data. By default, the time period is two months, however, you extend it to 14 months if desired. (It should be noted that this doesn’t mean you will only have access to data for 14 months, it just means you lose user-specific data after 14 months.)
  • Options to turn off location-specific data and ad personalization data by country.

ga4 vs universal analytics menus

Data Streams for the new omnichannel landscape

Now, like we touched on earlier, there has been an increase in interest to keep customers and turn them into advocates over the last 10 years. Google has put retention reports blatantly in the Life Cycle report to reflect its importance. Though this section of GA4 is currently sparse, I can imagine we will see updates in the coming years.
ga4 enhanced measurement
As you may have heard, the current Google Analytics platform, Universal Analytics (UA), will no longer collect data as of July 2023. At that time, your only option will be to make the switch to GA4.
Once you’re collecting an event, you have the option to mark it as a conversion by simply clicking a toggle button—no more “Goal” setup!
google analytics 4 conversion panel
2012: Google Analytics is discontinued and replaced by Universal Analytics. Universal Analytics allows users to track cross-platform, device-specific tracking, and create custom dimensions and metrics. This was necessary as apps and mobile browsing were becoming increasingly popular and brands needed a way to optimize for it.
2012: Google Analytics is discontinued and replaced by Universal Analytics. Universal Analytics allows users to track cross-platform, device-specific tracking, and create custom dimensions and metrics. This was necessary as apps and mobile browsing were becoming increasingly popular and brands needed a way to optimize for it.
Monetization reports have taken over the former home of “conversions” reports. The big thing to note here is that monetization in 2021 looked far different than monetization in 2012.
That’s right… No more bounce rate!
screenshot of google analytics 4 announcement headline

Event & conversion creation

The data collection differences aren’t only useful for data privacy and security reasons, but they’re also helpful for better understanding the full user journey.
The time has come. Google Analytics 4 (GA4) is here and ready for action. Actually, GA4 is here and ready for takeover.
When you set up your Data Stream you will have the option to turn on enhanced measurement which collects page views, downloads, outbound clicks, video engagement, and scrolls. If you keep enhanced measurement on, all of these events will be collected automatically! No extra work necessary.
For the SEO nerds out there, here’s the timeline from Urchin in 2005 to Google Analytics 4 in 2020.
(I would like to make a disclaimer that I am not a privacy expert and that all businesses should consult a privacy expert and lawyer to ensure they are in compliance with applicable laws)
ga4 meme

Increased functionality in Google Analytics 4

Here is the thing: We are just starting to really understand GA4. And much like every other Google product, it changes every day! There is still so much to learn and discover in GA4, and this process will look different for everyone.

Product Links

2006: Google redesigns the platform and brands it as Google Analytics.
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But the tools aren’t the only attributions you’ll see in GA4. In the last few months, Google announced that all users were getting access to Google’s data-driven attribution model. Once that rolled out, all GA4 properties were changed to using that model as their default conversion model, whereas UA still relies on last-click.

Available customizations

Perhaps the most underrated feature of Google Analytics 4 is the ability to customize the platform to meet your needs.
The metrics include:
2018: Europe rolls out data privacy and security laws referred to as General Data Protection Regulation (GDPR). These laws protect citizens of Europe not only in Europe but also on any site they browse regardless of the country the site is hosted in.
ga4 page screens report


ga4 granular location setting
google analytics 4 monetization view

Machine learning capabilities

Now in GA4, we see a section in the primary navigation called “Advertising,” Upon clicking into this section of GA4, we will find all of the same tools from the Attribution Projects. This includes conversion paths, time to conversion, the model comparison tool, and touchpoints to conversion.
Now this change is great because it gives us more information on how people use our properties. The downside is that it also means that the two datasets (UA & GA4) don’t play well together…

Anomaly detection

The biggest difference here is in language around “engagement” and “monetization” as well as the addition of “retention.”

Predictive analytics

We started to see the roll out of machine learning tools with Universal Analytics. Insights were rolled out in 2018 to help people find trends and outliers in their data. As time went on, the machine learning got more sophisticated and allowed users to “ask questions” in the search bar as a way of quickly finding information.


October 2020: Due to the increasing concerns around privacy and security, Google rolls out Google Analytics 4. GA4 has many baked-in features and tools to allow more control over your data. Google has gone as far as to say that GA4 was built for privacy.
But why? Why is this necessary? And how will it affect your business? Read on to learn the history of Google Analytics, the differences between UA and GA4, plus plenty of pros and cons, tips and tricks to help you navigate this change.
During your initial setup, you will want to ensure you tackle all of the options available to you in the “property” settings. We’ve already covered many of them, but I highly recommend checking them all out.
So what are the differences between GA4 and UA? There are many. Let’s look at them piece-by-piece.

Lots to learn

ga4 engagement panel
universal analytics vs google analytics 4 - data models

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