Understanding Revenue by User ID in Google Analytics 4
Tracking revenue by signed-in users is crucial for understanding customer lifetime value and purchasing patterns of authenticated users. This analysis helps businesses identify their most valuable customers, personalize marketing strategies, and optimize the user experience for logged-in users. We'll show you how to create this report in Google Analytics 4 to gain deeper insights into your authenticated users' revenue contributions.Basic Report Structure
- Report Type: Free Form Exploration
- Primary Dimension: User ID
- Secondary Dimensions: User pseudo ID, Device category
- Metrics: Total revenue, Average purchase revenue, Purchase count
- Visualization: Table format with optional bar chart
Steps to Create the Report
- Open GA4 and navigate to Explore section
- Click the Blank template to start a new exploration
- Under the Dimensions click the + button and search for User ID, User pseudo ID, and Device category, check the checkbox beside them and click Confirm
- Under the Metrics click the + button and search for Total revenue, Average purchase revenue, and Purchase count, check the checkbox beside them and click Confirm
- Drag User ID to the Rows section of your report
- Drag Total revenue, Average purchase revenue, and Purchase count to the Values section
- Add a filter to exclude null User IDs by clicking the + in the Filters section
- Set your desired date range in the report settings
- Optional: Add User pseudo ID and Device category as secondary dimensions for deeper analysis
Important Dimensions and Metrics
- User ID: Unique identifier for authenticated users across sessions and devices
- User pseudo ID: GA4's default identifier for all users (authenticated or not)
- Device category: Shows which devices customers use for purchases
- Total revenue: Sum of all revenue from authenticated users
- Average purchase revenue: Average transaction value per user
- Purchase count: Number of transactions per user
Actionable Insights
- Identify top-spending authenticated users for targeted loyalty programs and personalized marketing
- Compare purchase behavior between authenticated and non-authenticated users to optimize sign-in incentives
- Analyze cross-device purchase patterns to improve the multi-device shopping experience
- Use high-value customer insights to create lookalike audiences for acquisition campaigns
Answers Similar Questions
- How to track logged-in user revenue GA4
- GA4 authenticated user purchase analysis
- Google Analytics 4 user ID revenue tracking
- Track sales by user ID in Google Analytics
- GA4 signed-in customer revenue report
