Key Takeaways
- GA4 uses an event-based model replacing session-based pageviews from Universal Analytics
- Enhanced measurement automatically tracks scrolls, outbound clicks, video engagement, and file downloads
- GA4 allows up to 30 conversion events; mark only genuine business actions as conversions
- Predictive audiences (likely to purchase, likely to churn) use GA4's built-in machine learning
- BigQuery export provides free long-term data storage beyond GA4's 14-month retention limit
GA4 Setup and Configuration
Proper GA4 setup requires several configuration steps beyond basic tag installation. Each step ensures you collect accurate, useful data from the beginning.
- Create a GA4 property in your Google Analytics account
- Install the GA4 measurement tag via Google Tag Manager (recommended)
- Enable enhanced measurement for automatic event tracking
- Configure data retention to 14 months (maximum available)
- Link Google Ads, Search Console, and BigQuery
- Set up cross-domain tracking if you use multiple domains
- Configure consent mode for GDPR/CCPA compliance
Use Google Tag Manager instead of direct tag installation. GTM allows you to add custom events, modify tracking, and debug without changing website code. Direct installation limits flexibility significantly.
Events, Conversions, and Custom Tracking
GA4's event-based model treats every user interaction as an event. Understanding event types and conversion configuration is essential for meaningful analytics.
| Event Type | Example | Configuration |
|---|---|---|
| Automatically collected | page_view, first_visit, session_start | No setup needed |
| Enhanced measurement | scroll, outbound click, video_start | Toggle in admin |
| Recommended events | purchase, sign_up, add_to_cart | Manually implement |
| Custom events | form_submit, cta_click, pricing_view | Build in GTM |
Mark only 5-10 events as conversions. Every form submission and purchase event matters. Page views and scrolls do not. Over-marking conversions dilutes their value in reporting and Google Ads optimization.
Reporting and Exploration Analysis
GA4 reporting is divided into standard reports (pre-built dashboards) and explorations (custom analysis). Both serve different purposes: standard reports for daily monitoring, explorations for deep analysis.
| Exploration Type | Purpose | Key Use Case |
|---|---|---|
| Funnel exploration | Visualize conversion steps | Identify drop-off points in checkout |
| Path exploration | Map user navigation paths | Understand common page sequences |
| Cohort analysis | Track groups over time | Measure retention by acquisition channel |
| Segment overlap | Compare audience segments | Find high-value user characteristics |
| Free-form | Custom data tables | Ad hoc analysis and data export |
- Customize standard report collections for different team needs
- Build exploration templates for recurring analysis questions
- Export data to BigQuery for analysis beyond GA4's capabilities
- Create comparison views to benchmark current vs. previous periods
Frequently Asked Questions
Related services from Verbsz Technologies
If this article is relevant to a project on your roadmap, these are the services our team typically delivers.