GA4 Migration Made Simple: How to Set Up Google Analytics 4 and Start Tracking

Understanding GA4

Google Analytics 4 (GA4) is the new version of Google Analytics, and it’s being rolled out to replace its predecessor, Universal Analytics. As part of a modern Google Analytics setup, the shift is largely driven by changing user behavior and evolving privacy regulations, which require a more flexible way to collect and process data with cross-device tracking.

Consider the impact on your business and measurement; while setup takes time, a clear plan makes reporting and analysis more resilient.

Why GA4 is Different

Definitions: Event-based analytics is the method of tracking user interactions—clicks, views, purchases—as discrete events with parameters, rather than focusing only on sessions or pageviews. Dual-tagging is running Universal Analytics and GA4 tags at the same time during migration so GA4 collects forward-looking data while UA reports remain available.

Event-Based Model

Every interaction—such as a page view, click, or purchase—is an event with parameters that describe the action. This contrasts with Universal Analytics, which centered on sessions and pageviews. Because events are more flexible, GA4 enables more granular cross-platform tracking while accommodating privacy-first data collection and real-time analytics.

The Concept of Dual-Tagging

Another concept you may encounter is dual-tagging. Dual-tagging means running UA and GA4 tags at the same time during your transition. Doing so collects GA4 data while maintaining your existing UA dashboards and performance metrics until you’re fully comfortable with the new reports.

For example, imagine Sarah, who runs a small online boutique. She kept UA active while enabling GA4, then followed a tutorial to set up events on product views and checkout steps. With both views available, she refined her checkout flow using clearer signals and felt confident making incremental improvements.

1. Create a New Property

GA4 is a big upgrade to the Google Analytics user interface. It may take a few hours to learn, but the new capabilities unlock deeper insights.

As a start, you should create a new property in your Google Analytics account. This is the property you will use to collect data as you work your way through the migration process. Ask yourself: Are you setting it up to track only your site, or will you eventually bring an app into the same property for cross-platform reporting?

Property setup considerations

• Use clear, descriptive naming so your team instantly knows what’s being tracked.
• Confirm your reporting time zone and currency to match your business records.
• Decide which data streams (web and/or app) you will add now versus later.

2. Install the Google Analytics SDK

GA4 is a new platform with a different data model and important changes in how data is collected and measured. To begin capturing information, install the Google Analytics SDK on all of your web and app pages (and the servers that host them). This lets you track visitors using the new GA4 tracking code.

Preparing for Changes

Next, conduct a thorough audit of your existing UA property to identify all the systems and tools that connect with it. This includes any analytics dashboards your organization uses and the specific metrics that influence their KPIs. Consider: Which UA goals, events, or custom dimensions are essential and should be recreated as GA4 conversions or event parameters?

Picture a mid-sized marketing team hosting a short workshop to walk colleagues through the event-based model and dual-tagging. By sharing responsibilities and answering privacy questions together, they emerged with a simple tracking plan and less anxiety about the switch.

Installation checklist

• Verify that the GA4 measurement ID or SDK configuration is present on every page template.
• Set up events so key interactions (e.g., purchases, sign-ups, downloads) fire as GA4 events for user behavior analysis.
• Document your current UA performance metrics so you can align GA4 events and conversions with business KPIs.

3. Import your UA data

GA4 is a new platform with a different data collection model than UA. Google has provided guidance on migrating historical data, but it’s a long process that isn’t a quick fix because the two versions use different schemas and calculate some metrics differently.

As a result, you can’t import your historical UA data directly to GA4. Instead, you should consider dual-tagging to avoid losing your historic UA data in the future. During this phase, ask: Which historical trends will I still need for benchmarking, and how will I access them while GA4 data accumulates?

Practical approach to historical data

• Run both UA and GA4 tags simultaneously so GA4 begins collecting forward-looking data immediately.
• Preserve UA reports you rely on by documenting key metrics and timelines for comparison.
• Align naming conventions for events and parameters to simplify analysis across platforms.

4. Set up your tracking code

You’ll need to set up your tracking code, which is a piece of JavaScript that works in conjunction with a larger JavaScript file on the Google server to track information about how users interact with your website. This includes information about their device, such as whether it’s new or returning to the site. This helps GA4 report on user journeys with business-relevant insights.

Use this information to make informed decisions that will help you grow your business through deeper user behavior analysis. To stay organized, map the user actions you care about and confirm that each one sends a GA4 event with the parameters you need to answer your reporting questions.

Event planning tips

• List your critical user actions and tag them first to ensure reliable conversion reporting.
• Keep parameter names consistent so segments and comparisons stay clear.
• Test events in a staging environment before pushing changes live.

5. Start tracking

GA4 focuses on event-based analytics, meaning it tracks every interaction your visitors have with your website and surfaces real-time analytics. This information helps you understand user behavior and evaluate performance metrics to identify the most effective ways to engage them.

Migration Timeline

If you’re ready to switch to GA4, you should start tracking your data as soon as possible. Ideally, you should implement all of your tracking items before July 1, 2022, to ensure you get the most out of your data, and monitor performance metrics during the transition.

A quick example

Consider Jake, a digital marketing analyst unsure about GA4’s interface. He spent an afternoon replicating his go-to UA metrics—engagement and retention—in GA4, then explored user paths; those familiar benchmarks made the transition feel manageable.

FAQs about moving to GA4

What is event-based analytics? It’s a model where every user interaction is tracked as an event with parameters. This gives you detailed context about what happened, when, and how, making analysis more flexible than session-based approaches.

What is dual-tagging? Dual-tagging means keeping UA active while you also run GA4 tags. This lets you continue using your existing reports while GA4 builds its own dataset for future analysis.

Why can’t I import UA data into GA4? UA and GA4 use different schemas and calculate some metrics differently. Because of these differences, direct historical imports aren’t supported, so a parallel run is the safest path to maintain continuity.

How long does setup take? It varies by site complexity and the number of events you track. Plan time for implementation, testing, and stakeholder training so teams understand the new reports.

Conclusion

Migrating to GA4 is essential for adapting to evolving privacy requirements and cross-device behavior. Its event-based model unifies web and app data for more nuanced insights and better decision-making across marketing, product, and content.

• Set up a new GA4 property.
• Enable dual-tagging so UA continues.
• Identify key events and mark conversions.
• Test and validate in Google Tag Manager.
• Monitor performance metrics and refine regularly.

Start now so data accrues and your team can learn the new reports—follow these steps to future-proof your analytics. If you need help, reach out to us at wish@thegenielab.com.