- Data model: GA4 uses an event-based data model, which allows for more granular tracking of user interactions and provides better flexibility in customising the tracking setup. UA, on the other hand, primarily relies on a session-based data model.
- Reporting and insights: GA4 offers more advanced analysis techniques, such as funnel analysis, path analysis, and cohort analysis, which help businesses better understand user behaviour on their websites or apps. These advanced features are not as comprehensive in UA.
- Integration with Google tools: GA4 is designed to integrate more seamlessly with other Google products, such as Google Ads and Firebase, providing a more unified view of marketing efforts and app performance.
- Cross-platform tracking: GA4 enables tracking across multiple platforms (websites, apps, and devices) using a single property, whereas UA requires separate properties for each platform.
- AI-driven insights: GA4 leverages machine learning to generate automatic insights, anomaly detection, and predictive metrics, offering more proactive recommendations compared to UA.
- Privacy and data control: GA4 provides better compliance with privacy laws and regulations, such as GDPR and CCPA, by offering more data control options, including consent mode, data deletion requests, and IP anonymization.
Google Analytics 4 (GA4) is a more advanced and modern version of Google’s analytics platform, designed to provide deeper insights and improved data analysis capabilities compared to its predecessor, Universal Analytics (UA).
Differences between GA4 and Universal Analytics: