Tracking ad revenue has always been a challenge for publishers and app developers. You may earn money from ads, but without the right tracking setup, you cannot see what’s working and what’s not. This is where Google Analytics 4 (GA4) and Google Ad Manager (GAM) come together as a powerful combination.
GA4 helps you understand user behavior, while Google Ad Manager gives you complete control over ad serving and revenue reporting. When you connect both, you can track ad revenue more effectively and take smarter monetization decisions.
In this guide, we’ll explore how GA4 and GAM work together, why integration matters, and step-by-step methods to optimize revenue tracking.
Simply put, GA4 + Google Ad Manager: How to Track Ad Revenue More Effectively gives you both traffic and revenue insights under one roof.
Why Combine GA4 and Google Ad Manager?
Let’s start with the basics. GA4 tracks user activity across websites, apps, and connected devices. Google Ad Manager manages ad inventory, serves ads, and reports revenue.
When you connect them:
- You see which traffic sources bring more ad revenue.
- You track ad impressions, clicks, and earnings within GA4.
- You align user engagement data with ad monetization.
- You get a full picture of ROI from different campaigns.
Without this integration, you might only see half of the story. GA4 shows traffic but not earnings, while GAM shows earnings but not user engagement. Together, they close the loop.
Step 1: Setting Up GA4 for Revenue Tracking
Before you link GA4 and GAM, make sure GA4 is properly configured.
1. Create a GA4 Property
If you haven’t already, create a GA4 property in your Google Analytics account. GA4 supports websites, apps, and hybrid setups.
2. Install GA4 Tag
For websites, use Google Tag Manager or gtag.js to install GA4. For apps, integrate GA4 with Firebase. This ensures all user events are captured.
3. Enable Monetization Reports
In GA4, enable Monetization Reports. These show in-app purchases, subscriptions, and ad revenue once data flows in.
4. Define Key Events
Track events like page views, scrolls, video plays, and conversions. These help you analyze which user actions generate ad exposure and revenue.
Step 2: Setting Up Google Ad Manager for Tracking
Now let’s prepare GAM for integration.
1. Generate Ad Tags
Ad Manager requires ad tags to serve ads on your site or app. Make sure your ad units are properly labeled and structured.
2. Enable Revenue Reports
In GAM, enable reports that break down revenue by ad units, devices, countries, and demand sources.
3. Connect GAM with Google Ad Exchange or Other Networks
If you’re using Google Ad Exchange, enable programmatic revenue tracking. This ensures detailed reporting.
4. Activate Data Transfer
For advanced users, GAM offers Data Transfer Files. These files provide raw data that can be analyzed in BigQuery or connected to GA4.
Step 3: Linking GA4 with Google Ad Manager
Now comes the important part—connecting GA4 with GAM.
1. Link Google Ad Manager with Google Analytics 4
In your GA4 Admin settings, go to Product Links and select Ad Manager. Add your GAM account.
2. Enable Data Sharing
Check the box for Revenue Metrics Sharing. This allows GA4 to pull ad revenue directly from GAM.
3. Map Ad Units to GA4 Events
When a user sees an ad or clicks it, GAM sends data. In GA4, these map as events like ad_impression, ad_click, or ad_revenue.
4. Validate Data Flow
Use Realtime Reports in GA4 to see if ad events are being captured. Cross-check with GAM to ensure accuracy.
Step 4: Analyzing Ad Revenue in GA4
Once data starts flowing, you can analyze revenue from different angles.
1. Traffic Source Analysis
See which traffic sources bring the most profitable users. For example, organic traffic may bring more engagement, while paid traffic may bring higher CPM.
2. Audience Segmentation
Segment audiences based on behavior. For instance, compare revenue from new vs. returning visitors. This shows which audience is more valuable.
3. Device-Level Insights
Track revenue across devices. Mobile traffic may bring more impressions, but desktop may have higher eCPM.
4. Page and Content Performance
Analyze which pages generate the most ad revenue. For example, long-form articles may drive more impressions compared to short posts.
Step 5: Advanced Tracking with BigQuery
For deeper insights, connect GA4 and GAM with BigQuery.
- You can build custom revenue models.
- You can merge ad revenue with engagement data.
- You can forecast future ad earnings.
BigQuery is especially useful for publishers with millions of daily ad impressions.
Best Practices for Tracking Ad Revenue Effectively
1. Align Metrics Between GA4 and GAM
Ensure that impression, click, and revenue definitions match in both tools. Otherwise, you’ll see discrepancies.
2. Track Both Fill Rate and Viewability
Revenue depends not just on impressions, but also on how viewable ads are and whether they are filled.
3. Use Custom Dimensions in GA4
Define dimensions like ad placement, content category, or device type. These help you analyze performance at a granular level.
4. Monitor Real-Time Data
Use GA4 Realtime Reports to monitor ad revenue trends as they happen. This helps you react quickly to sudden drops or spikes.
5. Run A/B Tests
Test different ad placements, formats, and frequency. Use GA4 Experiments to measure how changes affect revenue.
Common Challenges and Fixes
Challenge 1: Data Discrepancies
GA4 and GAM may show different revenue numbers.
Fix: Ensure correct linking and check time zones, attribution windows, and data filters.
Challenge 2: Limited Revenue Breakdown in GA4
GA4’s standard monetization reports may not cover everything.
Fix: Use BigQuery or export GAM reports for more details.
Challenge 3: User Privacy and Consent
GA4 may not track all users if consent is not given.
Fix: Implement Consent Mode and comply with GDPR and CCPA.
Future of Revenue Tracking with GA4 + GAM
Google is continuously improving integration between GA4 and GAM. With AI-based insights and predictive metrics, publishers will soon see not just past revenue, but also forecasts for future earnings.
As privacy rules tighten, first-party data will play a bigger role. Combining GA4’s audience insights with GAM’s revenue data will help publishers optimize ads without relying on third-party cookies.
FAQs: GA4 + Google Ad Manager: How to Track Ad Revenue More Effectively
Can I directly see Ad Manager revenue inside GA4?
Yes. Once you link GA4 with Ad Manager and enable revenue sharing, you can see ad revenue in GA4 monetization reports.
Why do GA4 and Ad Manager show different revenue numbers?
Discrepancies happen due to attribution models, time zones, and reporting delays. Always compare data trends, not exact numbers.
Do I need BigQuery for GA4 + GAM integration?
Not always. Basic integration works without BigQuery. But if you need detailed analysis or forecasting, BigQuery is highly useful.
Can I track both AdSense and Ad Exchange revenue in GA4?
Yes. If AdSense or AdX is linked to your Ad Manager, revenue data will also flow into GA4.
Does GA4 support in-app ad revenue tracking?
Yes. For apps, GA4 tracks ad revenue via Firebase integration. You can see which app screens generate the most earnings.
How can I check which content earns the most revenue?
Use GA4’s Page and Screen Reports with revenue metrics enabled. This shows which articles, videos, or screens bring higher ad income.
Is GA4 free for ad revenue tracking?
Yes. GA4 is free, and linking it with Ad Manager doesn’t cost extra. BigQuery export may have costs depending on data size.
Will cookie restrictions affect GA4 and Ad Manager integration?
Yes. As third-party cookies fade, GA4 will rely more on modeled data and first-party tracking. Ad revenue tracking will still continue but with more aggregated insights.