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How To View Revenue By Date Hour Yyyymmddhh

April 23, 2025
5 min read

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.

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

  1. Open GA4 and navigate to the Explore section
  2. Click the Blank template to start a new exploration
  3. Under the Dimensions, click the + button and search for Hour and Date, check the checkbox beside them and click Confirm
  4. Under the Metrics, click the + button and search for Total revenue, Transactions, and Average purchase revenue, check the checkboxes and click Confirm
  5. Drag Hour to the Rows section
  6. Drag Date as a secondary dimension to the Rows section
  7. Drag Total revenue, Transactions, and Average purchase revenue to the Values section
  8. Click the Settings icon and set your desired date range
  9. 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

  1. Identify peak revenue hours to optimize staffing and customer support coverage
  2. Schedule promotional campaigns and email sends during high-performing hours
  3. Adjust advertising budgets to focus on hours with the highest conversion potential
  4. Compare weekday vs. weekend hourly patterns to refine marketing strategies
  5. Analyze hours with highest average order values to target premium promotions

Answers Similar Questions

  1. How to track hourly sales in Google Analytics 4
  2. GA4 revenue by time of day report
  3. Google Analytics 4 hourly revenue breakdown
  4. How to analyze hour-by-hour sales in GA4
  5. Track daily revenue patterns in Google Analytics 4