A comprehensive analysis of the architectural shift from Universal Analytics (Session-based) to Google Analytics 4 (Event-based), focusing on data modeling, privacy compliance, and implementation strategy.
Google Analytics 4 (GA4) represents a paradigm shift in data collection. Unlike Universal Analytics (UA) which relies on sessions, GA4 utilizes an event-based data model. This repository documents the technical implications of this migration for Data Engineering and Marketing teams.
| Feature | Universal Analytics (UA) | Google Analytics 4 (GA4) | Impact Level |
|---|---|---|---|
| Data Model | Session-based | Event-based | 🔴 Critical |
| Privacy | Configurable | Privacy-by-design (No IP storage) | 🟢 Positive |
| Quota | Hit limits (10M/mo) | No hit limits (Event limits apply) | 🟡 Medium |
| Reporting | Pre-built reports | Exploration & BigQuery Export | 🔴 Critical |
For a deep-dive into each component (Sampling, User ID, Spam Prevention), please refer to the Full Technical Report.
- Dual Tagging: Maintain UA while building historical data in GA4.
- BigQuery Integration: Leverage the native GA4-BigQuery link to bypass interface limitations.
- Server-Side Tracking: Consider GTM Server-Side for better privacy control.