Cross-Domain Tracking with GA4
Introduction
Cross-Domain Tracking in Google Analytics 4 (GA4) enables you to track user interactions across multiple domains. This is crucial for businesses that have different domains for different aspects of their operations, such as a main website and a separate e-commerce site.
Key Concepts
- Cross-Domain Tracking: The ability to track users as they navigate between different domains.
- GA4 Measurement ID: The identifier for your GA4 property that you will use in your tracking code.
- Cookie Settings: Proper management of cookies across domains is essential for accurate user tracking.
Setup Process
- Log in to your Google Analytics account.
- Select the GA4 property you want to configure.
- Go to Admin > Data Streams > select your web data stream.
- Scroll down to More Tagging Settings and select Configure your domains.
- Add your domains in the Cross-Domain Tracking section.
- Ensure that both domains share the same Measurement ID.
Code Example
Here’s a sample code snippet that demonstrates how to implement cross-domain tracking using GA4:
gtag('config', 'GA_MEASUREMENT_ID', {
'linker': {
'domains': ['example1.com', 'example2.com']
}
});
Best Practices
- Test your setup using the Real-Time reports in GA4 to ensure data is flowing correctly.
- Keep your domains updated in the GA4 settings whenever you add or remove domains.
- Use the same Google Tag Manager container across all domains to maintain consistency.
FAQ
What is the purpose of cross-domain tracking?
Cross-domain tracking allows you to understand user behavior as they navigate between different websites owned by your business, giving you a complete view of user journeys.
How do I know if cross-domain tracking is working?
You can verify it through the Real-Time reports in GA4, where you should see sessions across your specified domains being tracked correctly.
What happens if I don't set up cross-domain tracking?
If not set up, sessions may be counted separately when users switch between domains, leading to fragmented data and misleading analytics.