Ecommerce, Web Design, Web Development, Website Maintenance
31 Jan, 2023
Universal Analytics has been a staple of digital marketing analysis for nearly a decade. It’s helped millions of us better understand why people use our websites and how we can improve their experiences.
However, tracking and measuring user engagement is going to change for good, and soon. By July 1st, 2023, you’ll need to learn how to use a whole new system, Google Analytics 4 – and more tools, reports, and interfaces.
Moving to GA4 means more than just having to learn a new system. What does the switch mean for your existing data, reports, and goals? How long will it take in practice?
Don’t panic because, in the following guide, we’ll:
Want to skip straight to switching from Universal Analytics to GA4? Here’s the quick link.
Before Universal Analytics disappears, let’s say hello to GA4 (and what you can do with it).
Analytics 4 is Google’s flagship website visitor-tracking software, which uses machine learning algorithms to predict:
Google Analytics 4 first launched in October 2020, developed to support:
It’s the most powerful and user-friendly tool for tracking web visitors, and how they engage with you. With Google’s web analytics, you can monitor hyper-specific user engagement metrics, helping you improve visitor experiences.
GA4 follows a global trend towards data-driven web design or websites built around user behavior analysis. It collates data to help make website experiences more satisfying.
Google is closing down Universal Analytics, mainly because:
This impending shutdown means users need to move over to Google Analytics 4 as soon as possible.
Universal Analytics will no longer provide data to users from July 1st, 2023. If you’re a Universal Analytics 360 user, you have until October 1st, 2023.
If you don’t move to GA4 by the deadline, you can still download your UA data to a third-party program or warehouse.
Okay – a data warehouse doesn’t look quite like this, but your data will appear just as well-choreographed. More on downloading and archiving later.
Here’s a quick breakdown of the differences between GA4 vs UA and how they affect your visitor metrics.
Feature | Universal Analytics | Google Analytics 4 | Benefit from switching |
Data model | Sessions and page views | More detailed events (such as scrolls, searches, and video views) | Deeper analysis for more detailed visitor tracking |
BigQuery connection | N/A | Free connection to BigQuery (allows speedy queries on big and complex data) | Quicker and easier to analyze complex datasets |
Data limits | 10 million hit limit per month | No hit limit (replaced with event limits of 500) | Broader analytical scope |
Reporting | Limited reporting across devices | Fully open cross-platform reports | Easier to track visitors across different channels and platforms in one place |
Enhanced measurement | Complex tracking | Simple on-off switch tracking | More straightforward to scale your analytics when needed |
Events | Session grouping | Session grouping and individual events for specific breakdowns | Easier to identify specific behaviors |
Attribution | Rule-based, data-driven | Cross-channel, data-driven, reporting, ads-preferred | Easier to customize how you track visitors |
App and website tracking | Separated | Unified | Simpler for tracking sites and apps in the same place |
Data privacy | Manual anonymizing | Anonymous by default | Greater privacy protection for customers and simplified compliance checks for you |
While the table above explores the features of Google Analytics 4 vs Universal Analytics in a nutshell, it’s important to consider potential learning points when moving to GA4.
Here are a few quick “pros” and “cons” of switching:
Nobody likes switching over to a new system – doubly so when it comes to technology. But no worries; we’ve got a step-by-step guide to get you through the switch without any headaches.
Here are six steps we recommend to help you set up Google Analytics 4.
Step | Explanation |
1. Set up a GA4 property with GA4 Setup Assistant | Create new properties for your existing website using Google’s setup wizard |
2. Start migrating your items and goals | Convert your old UA goals into new GA4 “conversions” with Google’s goal migration tool, and manage new events with Tag Manager |
3. Test and track your properties and items | Test-drive your items in GA4 before your official transfer date, so you know if anything needs troubleshooting |
4. Move users across | Export user profiles from UA to GA4 with the migration add-on for Sheets |
5. Decide your official transfer date | Establish a firm transfer date to help keep your tracking in order when porting across |
6. Download and archive your old UA data | Back up all your UA data before the January 1, 2024 deletion date |
Google’s GA4 Setup Assistant helps to simplify the process of building new tracking metrics from scratch. You can start tracking items within 30 minutes of setup.
Here’s how it looks:
It carries over data such as:
It also moves configurations from UA to GA4, enabling your new GA4 property to pull data from any existing Google tags.
However, GA4 won’t port historical data. It’ll only measure data from here on out.
You’ll need to boot up your UA account and “Export” any older data you wish to retain. We’ll speak more about this in the sixth and final step.
Before you start setting up a GA4 property, we assume you already have a website from which you want to track properties. Here’s how to build properties from there:
Once your new property is live, you’ll get a success message. Give your property a name, and it’ll take 30 minutes for data to appear.
Next, rename your property (if you’d like) and wait for up to 30 minutes for data to appear. You can use the “Realtime” report to verify data is being collected correctly.
After setting up your account, you can return to the “Setup Assistant” to create data streams to monitor traffic across multiple domains. For example, you can start collecting data from your Android and iOS apps as well as from your web property, as shown below:
Another option for easily adding tags to your properties is Google Tag Manager (GTM) . GTM tags let you track code from your website or app to monitor how they’re used by visitors. Here’s a quick diagram of how the process works in practice:
Before switching, look carefully at your historical UA property data and list items you want to recreate. Doing so can help make switching smoother.
Important items and goals you may wish to recreate include:
The items most important to you depend on your individual long-term goals. For example, has tracking landing page numbers helped you fine-tune content and increase conversion rates in the past?
Sometimes, you can import old goals for your events from UA over to GA4 using the goal migration tool.
GA4 measures in “Conversion Events” rather than goals, meaning while you can expect to see the same data (e.g. video plays or landing page clicks) tracked over time, how you handle it will differ. We’ll explore how you can train on GA4 easily a little later on.
However, you can’t automatically move duration goals, smart goals, screens, and pages per session, and regular expression goals.
Here’s how to migrate automated goals across to GA4:
You can also use Google Tag Manager to migrate event goals over, either through:
Be patient, as it will take time for events and tags to start working. Creating events can take 30 minutes to process, and it can take up to 24 hours for conversions to start tracking correctly.
Google recommends two separate reports within your GA4 dashboard to see if data is collecting successfully:
If data doesn’t appear to pull through as expected, you’ll need to refer to Google’s troubleshooting processes.
It’s worth using Google’s Tag Manager to test your items. Try importing more goals and creating new properties with new data streams, tagging them to establish your ownership.
Testing and tracking with Tag Manager long-term can help you improve user experience elements such as web load times. Here’s how Google breaks down the benefits further:
You can use the GA4 Migrator add-on for Google Sheets to help manage users you want to move over. Here’s how to get started:
Choose and set your “official” data transfer date – the date you intend to begin using GA4 in earnest.
Think of the transfer date as your “hard” deadline for getting everything ready to move across. You can use the time ahead of this date to carefully prepare (and not scramble to complete your migration by June 30th).
Many people will set June 30th, 2023, as their transfer date (as UA becomes obsolete on July 1st). You’ll cease being able to track or use data in the old interface after this.
However, it may not be wise to follow the pack here. It’s arguably worth setting your transfer date ahead of the final cutoff where possible.
If you set May 30th, 2023, as your transfer date (for example), you’ll have an extra month to fall back on in case of technical difficulties. You can also use this time to refer back to UA further before you leave it behind for good (therefore making the switch less abrupt).
You can’t automatically move your historical UA data to GA4. You’ll need to download it from UA before its shutdown.
You can export data from UA directly by opening and clicking “export” from the upper menu in your report.
Consider which datasets are most important. Archiving lots of data through UA can be tricky, so do so in priority groups.
If you analyze monthly, you may wish to download and archive information for each 30-day period.
Consider using Google’s analytics spreadsheet add-on to help pull data via sheets. Try and pull data in small chunks – as you may risk Google sampling (or condensing) the information.
If you want to wait to move information to GA4, you can use data warehouses or third-party storage systems to manage this information while you migrate across. For example, BigQuery is an excellent choice as it integrates into GA4.
Download and archive all UA data before January 1st, 2024. After that date, it’ll be gone for good.
While migrating to GA4 may seem difficult, it’s necessary. After all, using analytics effectively is a crucial step in optimizing your website for leads.
We’ve got a few tricks to share that can make the switch easier.
Starting your migration as soon as possible means more clarity when you tie up UA and move across to GA4.
The earlier you move, the more time you’ll have to archive your UA data and start planning for goals and events you want to start tracking again.
Start by setting a clear transfer date. Decide when you will move to GA4 for good, and create a schedule for each process step.
For example, you could create checkpoints for:
Try and schedule some time to learn about GA4 step-by-step. We’ll cover this in more detail below.
If you leave moving over to the last moment – i.e., June 30th, 2023 – you won’t be able to access or manage your UA data.
While it may sound complex, running data analytics on tags in UA and GA4 simultaneously (and on the same properties) is possible. There are a few benefits – you can:
Google recommends “dual tagging” for the smoothest parallel migration, accessible through the G4A Setup Assistant. If you’re more confident using the suite, you can add new configuration commands.
Here’s how Google visualizes dual tagging in practice:
Regardless of how you parallel migrate, ensure your UA setup uses “gtag.js”, which lets you dual tag either through the GA4 Assistant or by adding new “config” commands. If this sounds a little confusing, Google has a full support guide for parallel migration.
Google is always improving GA4. It’s good practice to refine your analytics as you get used to GA4 and generate more reports.
Always keep track of Google’s latest releases of GA4. Google makes it easy to check previous releases and updates, as below:
We recommend setting up custom and automated insights via your home page to keep track of data changes.
Automated insights alert you when there are movements in your data that GA4 thinks you need to know about.
Custom insights let you create triggers based on what you want to know. For example, you can choose metrics such as active user numbers and set up email alerts to advise when visitor values go above or below a specific threshold.
UA and GA4 can differ wildly in their approach to analytics. By scheduling time to train in GA4, you can ensure you have a good foundation of knowledge when your transfer date arrives.
For example, big changes on board GA4 include data retention timescales. In line with changes in data privacy compliance, GA4 only holds information on visitors for up to 14 months max.
By default, you’ll be retaining data for two months (but you can change this by heading to “Admin”, then “Property”, before “Data Settings” and “Data Retention”).
We recommend using Google’s official YouTube playlist on property building as a launchpad for learning GA4’s new principles.
Beyond the basics, use Google’s introduction to Google Analytics 4 when you’re ready to start migrating in parallel. Google’s official guide goes in-depth, so schedule some time to read and practice before your transfer date.
Advanced GA4 users can also study for qualifications in analytics recognized by Google. Google provides a series of courses over at Skillshop, with free certifications and video modules. You can learn everything you need to know in less than seven hours.
Here’s just a sample of what’s on offer:
All of the above can help you build a Google Analytics 4 setup checklist that suits your needs and experience – there’s no set path to follow.
Ensure you check third-party application compatibility with GA4 before you move across (as some UA integrations may not work the same in GA4).
While many third-party platforms integrate happily with GA4, only a handful are considered “native” at the time of writing. That means they were designed with GA4 in mind and are likely to be the most intuitive (and therefore guaranteed to run smoothly).
Additionally, GA4 doesn’t yet support importing costs data from platforms such as Supermetrics, a key difference from UA.
It’s safe to assume many external Google services will integrate with GA4 – Ads, Search Ads 360, Search Console, Merchant Center, Optimize, Ad Manager, and BigQuery all already connect directly to GA4.
Third-party data platforms such as Firebase and Salesforce Marketing Cloud seamlessly (and continually) provide data via GA4.
It’s possible to integrate more than the above into GA4, and this list will likely grow in time. However, you may need to experiment and create an action plan for managing data from third-party providers if they’re not supported by GA4.
The first step should be to consult support from the third-party providers themselves. Sometimes, they may suggest workarounds if their software isn’t native.
It’s time to start making a move toward data-driven web design.
Google Analytics 4 will change the way you manage your visitor insights for good. It’s going to be a major undertaking, but remember that moving to GA4 will help you:
However, even if you know how to switch to Google Analytics 4, you don’t have to go at it alone; State Creative is on hand.
We’re moving our clients over to GA4, too – so we can help you build a Google Analytics 4 setup checklist that’s easy to manage.
Don’t let Google’s lengthy guides make things more confusing. Get in touch today, and let’s make maintaining your website and its analytics a breeze.
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