GA4 Fundamentals
Google Analytics 4 represents a fundamental shift in how marketing is measured. Event-based tracking and machine learning create new possibilities for understanding customer behavior.
Event-based model changes everything. All interactions are events.
Privacy-first design. Built for a cookieless future.
Our [analytics services](/services/analytics) help companies implement and leverage GA4 effectively.
GA4 vs. Universal Analytics
What changed in GA4.
**Event-based model**. Everything is an event, not pageviews and sessions.
**Cross-platform tracking**. Web and app together.
**Machine learning**. Predictive metrics and insights.
**Privacy focus**. Less reliance on cookies.
**BigQuery integration**. Free BigQuery export.
Core Concepts
Fundamental GA4 concepts.
**Events**. All interactions tracked as events.
**Parameters**. Additional data attached to events.
**User properties**. Attributes of users.
**Conversions**. Important events marked as conversions.
**Engagement**. New engagement-based metrics.
Data Model
Understanding GA4's structure.
**Event + parameters**. How data is collected.
**User-centric**. Focus on users across sessions.
**Engagement time**. Active time on site.
**Engaged sessions**. Quality session metric.
Setup and Configuration
Basic Setup
Get GA4 running.
**Create property**. Set up GA4 property.
**Install tracking**. Add GA4 tag to site.
**Verify data**. Confirm data collection.
**Configure settings**. Basic configuration.
Event Configuration
Set up event tracking.
**Automatic events**. Built-in event collection.
**Enhanced measurement**. Toggle additional events.
**Recommended events**. Industry-standard events.
**Custom events**. Your specific events.
Conversion Setup
Track what matters.
**Mark conversions**. Flag important events.
**Conversion counting**. Once or multiple per session.
**Conversion value**. Assign values to conversions.
**Verify tracking**. Test conversion tracking.
Google Ads Integration
Connect advertising data.
**Link accounts**. Connect GA4 and Google Ads.
**Import conversions**. Send conversions to Google Ads.
**Audience sharing**. Use GA4 audiences in ads.
**Cost data**. See ad costs in GA4.
Marketing Reports
Acquisition Reports
Understand traffic sources.
**User acquisition**. How users first arrive.
**Traffic acquisition**. Session-level source data.
**Channel groupings**. Organized traffic channels.
**Campaign tracking**. UTM parameter reporting.
Engagement Reports
Measure user interaction.
**Pages and screens**. Content performance.
**Events**. Event occurrence data.
**Conversions**. Goal completions.
**Engagement time**. Time spent engaging.
Monetization Reports
E-commerce and revenue.
**Purchase reporting**. Transaction data.
**Revenue metrics**. Sales performance.
**Product performance**. Item-level data.
**Purchase journey**. Path to purchase.
Retention Reports
User loyalty and return.
**New vs. returning**. User segments.
**Retention curves**. Return rates over time.
**Lifetime value**. User value projections.
**Cohort analysis**. Group performance.
Analysis Techniques
Exploration Reports
Ad-hoc analysis in GA4.
**Free-form exploration**. Custom reports.
**Funnel exploration**. Conversion path analysis.
**Path exploration**. User journey mapping.
**Segment overlap**. Audience comparison.
**User exploration**. Individual user analysis.
Funnel Analysis
Understand conversion paths.
**Create funnels**. Define step sequences.
**Open vs. closed**. Funnel configuration.
**Breakdown analysis**. Segment funnel data.
**Conversion optimization**. Identify drop-offs.
Segment Creation
Define audience groups.
**User segments**. Based on user attributes.
**Session segments**. Based on session behavior.
**Event segments**. Based on specific actions.
**Predictive segments**. Based on ML predictions.
Comparison Analysis
Compare performance.
**Date comparisons**. Period over period.
**Segment comparisons**. Group differences.
**A/B test analysis**. Experiment results.
Advanced Features
Predictive Metrics
Machine learning insights.
**Purchase probability**. Likelihood to purchase.
**Churn probability**. Likelihood to leave.
**Revenue prediction**. Projected user revenue.
**Predictive audiences**. Audiences based on predictions.
BigQuery Integration
Advanced data analysis.
**Free export**. Export data to BigQuery.
**SQL analysis**. Query raw data.
**Custom reporting**. Build custom dashboards.
**Data warehouse**. Integration with data stack.
Custom Dimensions and Metrics
Extend GA4 capabilities.
**User properties**. Custom user attributes.
**Event parameters**. Custom event data.
**Calculated metrics**. Computed measurements.
Audiences
Build targetable segments.
**Audience triggers**. Actions that add users.
**Audience duration**. How long users remain.
**Audience export**. Use in Google Ads.
**Predictive audiences**. ML-based segments.
Attribution
Understand conversion credit.
**Data-driven attribution**. ML-based credit.
**Attribution models**. Different credit models.
**Attribution reports**. Conversion path insights.
**Model comparison**. Compare attribution approaches.
Google Analytics 4 success requires understanding the new data model, proper configuration, effective reporting, and leveraging advanced features. Marketers who master GA4 gain deeper insight into customer behavior and marketing performance.