Learn how to analyze user behavior by item category in GA4
to enhance your e-commerce strategies, optimize inventory, and improve user engagement through a detailed report creation process.
Understanding User Behavior by Item Category in Google Analytics 4
Analyzing users by item category is crucial for e-commerce businesses to understand customer preferences and shopping patterns. This insight helps optimize inventory management, marketing strategies, and personalized recommendations. We’ll show you how to create this report in Google Analytics 4
to track how different product categories attract and engage users.
Basic Report Structure
- Report Type: Free Form Exploration
- Primary Dimension: Item Category 5
- Secondary Dimensions: User Source, User Medium
- Metrics: Total Users, Average Purchase Revenue per User, Items Viewed
- Visualization: Table format with optional bar chart
Steps to Create the Report
- Open
GA4
and navigate to the Explore section. - Click the Blank template to start a new exploration.
- Under the Dimensions, click the + button and search for Item Category 5, User Source, and User Medium, check the checkboxes beside them and click Confirm.
- Under the Metrics, click the + button and search for Total Users, Average Purchase Revenue per User, and Items Viewed, check the checkboxes beside them and click Confirm.
- Drag Item Category 5 to the Rows section.
- Drag Total Users, Average Purchase Revenue per User, and Items Viewed to the Values section.
- Add User Source and User Medium as secondary dimensions if desired.
- Set your desired date range in the report settings.
- Optional: Add a bar chart visualization by clicking the ’+’ in the tab section.
Important Dimensions and Metrics
- Item Category 5: The fifth-level category classification of products, useful for detailed product grouping.
- User Source: Shows where users came from before viewing category items.
- User Medium: Indicates the marketing medium that brought users to your site.
- Total Users: Number of unique users viewing each category.
- Average Purchase Revenue per User: Revenue generated per user for each category.
- Items Viewed: Total number of items viewed in each category.
Actionable Insights
- Identify top-performing categories by user engagement and adjust inventory accordingly.
- Analyze which marketing channels drive the most valuable users to specific categories.
- Use category performance data to optimize product placement and promotional strategies.
- Identify underperforming categories that might need better visibility or marketing focus.
- Cross-reference category performance with seasonal trends for better inventory planning.
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