GA4 Problems & Solutions
Comprehensive solutions to the most frustrating Google Analytics 4 problems. Fix tracking issues, data discrepancies, conversion problems, and configuration errors fast.
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Common GA4 Problem Categories
Find your specific GA4 issue and get the exact solution you need
Data Collection Issues
No data showing, tracking code problems, event firing issues, and basic setup problems
Conversion Tracking
Goals not working, ecommerce tracking issues, purchase events not firing
Reporting Problems
Data differences from UA, missing reports, incorrect metrics, filtering issues
Configuration Errors
Custom dimensions not working, audience issues, filter problems, integration failures
Advanced Features
Attribution issues, BigQuery problems, cross-platform tracking, User ID problems
Migration Issues
Universal Analytics comparison, data differences, migration problems, team adoption
Complete GA4 Problems Database
Find the exact solution to your specific GA4 problem with step-by-step fixes
Why is my GA4 not showing any data?
GA4 not showing data is usually caused by one of these common issues:
- Incorrect tracking code installation: Verify the GA4 tracking code is properly installed on all pages
- Wrong Measurement ID: Check that you're using the correct GA4 Measurement ID (starts with G-)
- Ad blockers preventing tracking: Test with ad blockers disabled
- Data processing delays: GA4 can take 24-48 hours to show data
- Filters blocking your traffic: Check if internal traffic filters are excluding your visits
Quick Fix: Use GA4 DebugView (Admin → DebugView) to verify events are firing in real-time. If events appear in DebugView but not in reports, it's likely a data processing delay.
Why are my GA4 numbers different from Universal Analytics?
GA4 and Universal Analytics use completely different data models:
- Universal Analytics: Session and pageview-based tracking
- GA4: Event-based tracking model
Key Differences:
- Session calculation: GA4 has different session timeout and engagement rules
- User counting: GA4 counts users differently across devices and platforms
- Bot filtering: GA4 has more advanced bot detection
- Data modeling: GA4 uses machine learning to fill data gaps
Solution: This is expected behavior, not a problem. Focus on GA4 trends and use it as your new baseline rather than comparing absolute numbers to UA.
How do I fix GA4 conversion events not working?
GA4 conversion tracking issues are usually caused by:
- Events not firing: Use DebugView to verify events are being sent
- Events not marked as conversions: Go to Admin → Events → Conversions and toggle on
- Incorrect event parameters: Check required parameters are included
- Event name mismatch: Ensure event name matches exactly (case sensitive)
- Data processing delay: Wait 24-48 hours for conversion data to appear
Testing Steps:
- Test conversion action on your website
- Check DebugView for the event
- Verify event is marked as conversion in GA4
- Wait for data processing
- Check conversions in reports
Why is GA4 Real-time report not showing users?
GA4 Real-time not working is typically caused by:
- Tracking code issues: Code not properly installed or configured
- Ad blockers: Privacy settings or ad blockers preventing tracking
- Wrong Measurement ID: Using incorrect GA4 property ID
- Internal traffic filters: Your traffic is being filtered out
- JavaScript errors: Preventing tracking code from executing
Troubleshooting Steps:
- Open your website in an incognito window
- Disable ad blockers temporarily
- Check browser console for JavaScript errors
- Use GA4 DebugView to see real-time events
- Verify tracking code and Measurement ID
How do I fix GA4 Enhanced Ecommerce not tracking purchases?
GA4 ecommerce tracking issues are often caused by:
- Missing required parameters: Ensure purchase events include transaction_id, value, currency, items array
- Duplicate transaction IDs: Each order must have unique transaction_id
- Incorrect event formatting: Check parameter names and data types
- JavaScript errors: Errors preventing purchase event from firing
- Conversion marking: Purchase event not marked as conversion
Required Purchase Event Format:
gtag('event', 'purchase', {
transaction_id: 'ORDER-123',
value: 25.42,
currency: 'USD',
items: [{
item_id: 'PRODUCT-123',
item_name: 'Product Name',
price: 25.42,
quantity: 1
}]
});
Testing: Use DebugView to verify purchase events fire with correct parameters when you complete a test transaction.
Why does GA4 show zero sessions but events are firing?
GA4 showing events but no sessions indicates:
- session_start event not firing: The automatic session_start event is blocked or not configured
- Enhanced Measurement disabled: Basic session tracking is turned off
- Custom implementation issues: Custom tracking code overriding default behavior
- Data processing delays: Sessions may appear later than individual events
Fix Steps:
- Check that Enhanced Measurement is enabled in GA4 Data Streams
- Verify session_start events in DebugView
- Ensure gtag('config') is called before any events
- Check for JavaScript errors preventing session tracking
- Wait 24-48 hours for data processing
How do I fix GA4 audiences not populating?
GA4 audiences not populating is usually caused by:
- Insufficient data volume: Audiences need minimum 100-1000 users depending on type
- Incorrect audience conditions: Too restrictive criteria or logical errors
- Data processing delays: Audiences can take 24-48 hours to populate
- Events not firing: The events used in audience conditions aren't being tracked
- Lookback window: Audience conditions looking at timeframe with no data
Troubleshooting:
- Start with broader audience conditions and narrow down
- Check that triggering events are firing correctly
- Verify audience logic with AND/OR conditions
- Wait sufficient time for data collection
- Test with predictive audiences if available
Why is my GA4 bounce rate 0% or 100%?
GA4 bounce rate issues occur when:
0% Bounce Rate (Too Many Engagement Events):
- Too many events firing automatically (scroll, outbound clicks, file downloads)
- Custom events incorrectly configured as engagement events
- Enhanced Measurement settings too aggressive
100% Bounce Rate (No Engagement Events):
- Enhanced Measurement disabled or misconfigured
- No engagement events firing (scroll, time on page, etc.)
- Tracking code issues preventing event collection
Solutions:
- Review Enhanced Measurement settings in Data Streams
- Check which events are marked as "engagement" events
- Adjust scroll tracking thresholds
- Verify page_view and user_engagement events in DebugView
How do I fix GA4 custom dimensions not showing data?
GA4 custom dimensions not working:
- Parameter not being sent: Verify the parameter is included in your events
- Custom dimension not registered: Register parameter as custom dimension in GA4
- Name mismatch: Parameter names are case-sensitive and must match exactly
- Scope mismatch: User-scoped vs event-scoped custom dimensions
- Data processing delay: Custom dimensions can take 24-48 hours to appear
Setup Process:
- Send parameter with events:
gtag('event', 'page_view', {'custom_parameter': 'value'})
- Register in GA4: Admin → Custom Definitions → Custom Dimensions
- Match parameter name exactly
- Choose appropriate scope (Event or User)
- Wait for data processing
Why are GA4 goals/conversions not showing in reports?
GA4 conversions not appearing in reports:
- Events not marked as conversions: Go to Admin → Events → Conversions and toggle on the event
- Data processing delay: Conversions can take 24-48 hours to appear in reports
- Events not firing: Use DebugView to verify conversion events are being sent
- Event name mismatch: Conversion event names must match exactly
- Insufficient volume: Very low conversion volumes may not appear due to privacy thresholds
Verification Steps:
- Test conversion action on your website
- Check event appears in DebugView
- Verify event is toggled as conversion in GA4 Admin
- Wait 24-48 hours for data processing
- Check conversion reports and attribution reports
How do I fix GA4 filters not working properly?
GA4 filter issues and important warnings:
⚠️ CRITICAL: Data filters in GA4 are permanent and cannot be undone. They permanently delete data.
Common Problems:
- Using data filters instead of comparison filters for analysis
- Incorrect filter logic or conditions
- Filters only affecting new data, not historical data
- IP filtering not working due to dynamic IP addresses
Best Practices:
- Use comparison views instead of data filters when possible
- Test filter logic with small segments first
- Create unfiltered view backup before applying data filters
- Use audiences or segments for flexible filtering
- Document all filters for future reference
Why is GA4 Attribution reporting showing incorrect data?
GA4 attribution issues and solutions:
Common Attribution Problems:
- Insufficient conversion volume: Data-driven attribution needs 300+ conversions per month
- Attribution window settings: Default windows may not match your business cycle
- Cross-domain tracking: Incomplete setup causes attribution breaks
- User-ID implementation: Missing User-ID affects cross-device attribution
- Conversion modeling: GA4 models missing data which may seem "incorrect"
Solutions:
- Review attribution model settings in Admin → Attribution Settings
- Adjust attribution windows for your customer journey length
- Implement proper cross-domain tracking
- Set up User-ID for logged-in users
- Understand that modeling is designed to improve accuracy
How do I fix GA4 Page Path reports missing pages?
GA4 missing page data can be caused by:
- Tracking code not on all pages: Verify GA4 code is installed on every page
- Single Page Application (SPA) issues: Page changes not triggering page_view events
- Enhanced Measurement disabled: Page views not being automatically tracked
- JavaScript errors: Preventing tracking code from executing
- Dynamic pages: Pages loaded via AJAX not tracked
Solutions:
- Audit all pages for GA4 tracking code presence
- For SPAs, implement manual page_view tracking on route changes
- Enable Enhanced Measurement in Data Streams settings
- Check browser console for JavaScript errors
- Use DebugView to test page tracking across your site
- Implement history change events for dynamic content
Why is GA4 User ID not working for cross-device tracking?
GA4 User ID tracking issues:
Common Problems:
- User ID set too late: Must be set before any events are sent
- User ID format issues: Using inconsistent format or special characters
- Not enough logged-in users: User ID only works for authenticated users
- Privacy settings: Users opted out of cross-device tracking
- Implementation errors: User ID not passed correctly with events
Correct Implementation:
// Set User ID before any events
gtag('config', 'GA_MEASUREMENT_ID', {
'user_id': 'USER_123'
});
// Or set dynamically
gtag('config', 'GA_MEASUREMENT_ID');
gtag('set', {'user_id': 'USER_123'});
Verification: Use DebugView to check that user_id parameter appears with all events.
How do I fix GA4 demographic data not showing?
GA4 demographics not available:
- Google Signals not enabled: Enable in Admin → Data Settings → Google Signals
- Insufficient user volume: Demographics require minimum thresholds for privacy
- Users opted out: Demographics only available for users with ads personalization enabled
- Data modeling requirements: GA4 models demographic data, which takes time
- Geographic restrictions: Demographics may not be available in all regions
Requirements for Demographics:
- Google Signals enabled
- Sufficient traffic volume (typically thousands of users per month)
- Users must have Google ads personalization enabled
- Traffic must meet privacy thresholds
Note: Even with everything configured correctly, demographic data may be limited due to privacy protections.
Why are GA4 search console reports empty?
GA4 Search Console integration issues:
- Properties not linked: Must link Search Console and GA4 in Admin → Product Integrations
- Verification issues: Both properties must be verified in Search Console
- Data processing delay: Integration data can take 24-48 hours to appear
- Insufficient organic traffic: Need significant organic search traffic for reports
- Wrong property linked: Ensure correct Search Console property is connected
Integration Steps:
- Verify your website in Google Search Console
- In GA4, go to Admin → Product Integrations → Search Console
- Link the correct Search Console property
- Wait 24-48 hours for data to appear
- Check organic search traffic volume requirements
How do I fix GA4 BigQuery export not working?
GA4 BigQuery export problems:
- Linking not configured: Set up BigQuery linking in Admin → Integrations
- BigQuery project issues: Incorrect project permissions or billing setup
- Dataset location: GA4 and BigQuery dataset must be in same region
- Export delays: Daily exports can take 24+ hours to appear
- API restrictions: BigQuery API must be enabled with sufficient quotas
Setup Requirements:
- BigQuery project with billing enabled
- BigQuery Admin or Editor permissions
- BigQuery API enabled
- Dataset in same region as GA4 property
- Sufficient BigQuery storage and compute quotas
Troubleshooting: Check BigQuery logs and GA4 integration status for specific error messages.
Why is GA4 internal traffic filter not excluding my visits?
GA4 internal traffic filtering issues:
Two-Step Process Required:
- Step 1: Define internal traffic in Data Streams → Configure Tag Settings → Define Internal Traffic
- Step 2: Create data filter in Admin → Data Filters to exclude internal traffic
Common Problems:
- Only completed Step 1 (defines traffic) but not Step 2 (excludes traffic)
- IP address format incorrect (use CIDR notation for ranges)
- Dynamic IP addresses changing regularly
- Data filters only affect new data, not historical data
Best Practice: Test with comparison reports before creating permanent data filters. Use DebugView to verify your traffic is tagged as "internal".
How do I fix GA4 app tracking not working with website data?
GA4 app + web tracking issues:
- Separate properties: App and web must use the same GA4 property, not separate ones
- User ID missing: Implement User ID for cross-platform user tracking
- App stream configuration: Ensure app data streams are properly configured
- Firebase SDK issues: Verify correct Firebase SDK implementation for mobile apps
- Event naming inconsistency: Use consistent event names across app and web
Setup Requirements:
- Single GA4 property with multiple data streams (web + app)
- Firebase SDK properly implemented for mobile apps
- User ID implementation for logged-in users
- Consistent event schema across platforms
- Cross-platform measurement configured
Testing: Use DebugView to verify both app and web events appear in the same GA4 property.
Why are my GA4 custom events not appearing in reports?
GA4 custom events not in reports:
- Data processing delay: Custom events can take 24-48 hours to appear in standard reports
- Events not firing: Use DebugView to verify events are being sent correctly
- Naming issues: Event names cannot contain spaces or special characters
- Wrong property: Events being sent to incorrect GA4 property
- Custom dimensions needed: Event parameters need to be registered as custom dimensions
Event Naming Rules:
- Must start with a letter
- Can only contain letters, numbers, and underscores
- Cannot exceed 40 characters
- Are case sensitive
- Cannot use reserved event names
Quick Check: Custom events appear immediately in DebugView but take 24-48 hours to show in standard reports.
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Prevent GA4 Problems Before They Happen
Pro tips to avoid common GA4 issues and maintain healthy analytics
🛡️ Prevention Checklist
- Test everything with DebugView before going live
- Document all custom implementations and tracking plans
- Set up alerts for critical metrics and conversion drops
- Regular audits of tracking code and data quality
- Team training to prevent configuration mistakes
- Backup data to external systems when possible
⚡ Quick Diagnosis Tools
🔍 GA4 DebugView
Real-time event monitoring and troubleshooting
📊 Real-time Reports
Immediate verification of tracking functionality
🧪 Google Tag Assistant
Validation of Google tag implementations
📈 Comparison Reports
Identify data anomalies and trends
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