Learn how to analyze revenue distribution by hour in Google Analytics 4 with our step-by-step guide, including required metrics and actionable insights for optimizing your marketing strategies.
Understanding Revenue Distribution by Hour in Google Analytics 4
Analyzing revenue patterns by hour is crucial for e-commerce businesses to optimize their operations and marketing efforts. This detailed hourly revenue analysis helps identify peak sales periods, understand customer buying behavior throughout the day, and make data-driven decisions about marketing campaign timing and resource allocation. We’ll show you how to create this insightful report in Google Analytics 4
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Basic Report Structure
- Report Type: Free Form Exploration
- Primary Dimension: Hour
- Secondary Dimension: Date
- Metrics Focus: Revenue data
- Visualization: Table format with optional time series 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 Hour and Date, check the checkbox beside them and click Confirm
- Under the Metrics, click the + button and search for Total revenue, Transactions, and Average purchase revenue, check the checkboxes and click Confirm
- Drag Hour to the Rows section
- Drag Date as a secondary dimension to the Rows section
- Drag Total revenue, Transactions, and Average purchase revenue to the Values section
- Click the Settings icon and set your desired date range
- Optional: Add a line chart visualization by clicking the + icon in the Tab section and selecting Line Chart
Required Dimensions and Metrics
- Hour: Shows the hour of day (0-23) when transactions occurred
- Date: Provides the specific date for each transaction
- Total revenue: Shows the total revenue generated in each hour
- Transactions: Indicates the number of sales completed
- Average purchase revenue: Helps understand the typical order value during different hours
Actionable Insights
- Identify peak revenue hours to optimize staffing and customer support coverage
- Schedule promotional campaigns and email sends during high-performing hours
- Adjust advertising budgets to focus on hours with the highest conversion potential
- Compare weekday vs. weekend hourly patterns to refine marketing strategies
- Analyze hours with highest average order values to target premium promotions
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