Analytics

Understanding Google Analytics 4: Key Metrics That Matter

Google Analytics 4 (GA4) represents a fundamental shift in how we measure and understand user behavior. Unlike Universal Analytics, GA4 is built for a privacy-first world and focuses on user journeys across platforms. If you're still struggling to make sense of GA4, this guide will help you focus on the metrics that actually drive business decisions.

Why GA4 Is Different

GA4 fundamentally changes how data is collected and processed:

  • Event-based model: Everything is an event (page views, clicks, purchases)
  • Cross-platform tracking: Unified view of web and app data
  • Machine learning: Predictive insights and automated reporting
  • Privacy-focused: Cookieless measurement and data controls

Important: Universal Analytics stopped collecting data in July 2023. If you haven't fully transitioned to GA4, you're missing valuable insights.

Essential GA4 Reports and Metrics

1. Acquisition Reports

Understanding where your traffic comes from:

  • User acquisition: How new users find you (first touch)
  • Traffic acquisition: All sessions grouped by source
  • Key metrics: Users, sessions, engagement rate, conversions

What to Track:

  • Which channels bring the most engaged users?
  • What's the conversion rate by traffic source?
  • Which campaigns drive the highest-value customers?

2. Engagement Metrics

GA4 introduces new ways to measure engagement:

Engaged Sessions

A session is "engaged" if it meets any of these criteria:

  • Lasts longer than 10 seconds
  • Has a conversion event
  • Has 2 or more page views

Engagement Rate

Replaces bounce rate with a more meaningful metric:

  • Formula: Engaged sessions / Total sessions
  • Higher is better (opposite of bounce rate)
  • Benchmark: 60-70% is good for most sites

3. Conversion Tracking

Setting up conversions correctly is crucial:

Default Conversions to Enable:

  • first_visit (new user acquisition)
  • session_start (traffic patterns)
  • purchase (for e-commerce)
  • form_submit (lead generation)

Custom Conversions to Create:

  • Contact form submissions
  • Phone number clicks
  • Newsletter signups
  • Video completion
  • Product demo requests

4. User Behavior Flow

Understanding the customer journey:

  • Path exploration: Visualize user journeys through your site
  • Landing pages: Which pages start user sessions
  • Exit pages: Where users leave your site
  • Page engagement: Time spent and interactions per page

E-commerce Tracking

Key E-commerce Metrics

  • Purchase revenue: Total sales generated
  • Average purchase revenue: Average order value
  • Purchasers: Number of users who completed a purchase
  • Items per purchase: Average items in cart
  • E-commerce conversion rate: % of sessions resulting in purchase

Audience Insights

Demographic Data

Understanding who your users are:

  • Age and gender demographics
  • Geographic location (country, city)
  • Device and browser information
  • Interests and affinities

User Retention

Measure repeat engagement:

  • How many users return after first visit?
  • What's the frequency of return visits?
  • How does retention vary by acquisition channel?

Custom Reports and Explorations

Exploration Templates

Powerful analysis tools in GA4:

1. Funnel Exploration

  • Visualize conversion paths
  • Identify drop-off points
  • Compare different user segments

2. Path Exploration

  • See how users navigate your site
  • Identify popular content paths
  • Discover unexpected user journeys

3. Segment Overlap

  • Compare user segments
  • Find overlapping characteristics
  • Identify unique audience groups

Setting Up Key Events (Conversions)

How to Create Custom Events

Three ways to track events in GA4:

1. Automatic Events

GA4 tracks these automatically:

  • Page views
  • Scrolls
  • Outbound clicks
  • Site search
  • Video engagement
  • File downloads

2. Enhanced Measurement

Enable in GA4 settings for automatic tracking of:

  • Scroll tracking (90% depth)
  • Outbound link clicks
  • Site search
  • Form interactions

3. Custom Events

Create via Google Tag Manager for:

  • Button clicks
  • Form submissions
  • Phone number clicks
  • Specific user interactions

Attribution and Multi-Touch Analysis

Attribution Models in GA4

Understand how different touchpoints contribute to conversions:

  • Data-driven: ML-based credit distribution (recommended)
  • Last click: All credit to final interaction
  • First click: All credit to initial touchpoint
  • Linear: Equal credit to all touchpoints

Predictive Metrics

Machine Learning Insights

GA4 automatically generates predictions (requires sufficient data):

  • Purchase probability: Likelihood user will make purchase in next 7 days
  • Churn probability: Likelihood user won't be active in next 7 days
  • Revenue prediction: Expected revenue from user in next 28 days

Privacy and Data Controls

Important Settings to Configure

  • Data retention: How long user-level data is stored (2 or 14 months)
  • Google signals: Cross-device tracking with user consent
  • IP anonymization: Already enabled by default in GA4
  • Cookie consent mode: Adjust tracking based on user consent

GA4 Best Practices

Setup Checklist

  • Configure data streams for web and app
  • Enable enhanced measurement
  • Set up conversion events
  • Link Google Ads account
  • Create custom audiences for remarketing
  • Set up custom reports for regular viewing
  • Configure data filters (exclude internal traffic)

Common GA4 Mistakes to Avoid

  • Not setting up conversions properly
  • Ignoring data quality and filters
  • Comparing GA4 metrics directly to Universal Analytics
  • Not using explorations for deeper analysis
  • Failing to customize reports for business needs
  • Not documenting custom events and parameters

Actionable Insights from GA4

Weekly Review Checklist

  • Check traffic trends and anomalies
  • Review top acquisition channels
  • Analyze conversion rates by source
  • Identify top-performing content
  • Monitor goal completions

Monthly Deep Dives

  • Analyze user journey paths
  • Review audience demographics and interests
  • Examine device and technology trends
  • Study landing page performance
  • Evaluate campaign effectiveness

Conclusion

Google Analytics 4 is more powerful than Universal Analytics, but it requires a shift in thinking. Focus on engaged users, conversion paths, and cross-platform behavior rather than just page views and sessions.

Start by setting up your key conversions, then gradually explore the various reports and explorations. The transition to GA4 is complete—now it's time to unlock its full potential for data-driven decision making.

Remember: data is only valuable when it drives action. Use GA4 insights to continuously optimize your digital marketing efforts and improve business results.

Need Help With Your Digital Marketing?

Let's discuss how these strategies can work for your business and drive real results.

Get Free Consultation