How to Analyze Stripe Revenue Data in Google Sheets

Transform your Stripe revenue data into actionable business insights

Getting Started with Revenue Analysis

Using Data Exporter and Google Sheets together provides powerful tools for understanding your business revenue patterns and growth opportunities. Learn how to create meaningful insights from your Stripe data.

Essential Analysis Steps

  1. Export Revenue Data

    Use Data Exporter to send your Stripe revenue data to Google Sheets.

  2. Clean and Organize

    Format your data and create proper column headers for analysis.

  3. Create Basic Metrics

    Calculate key metrics like MRR, ARR, and growth rates.

  4. Build Visualizations

    Create charts and graphs to visualize revenue trends.

  5. Set Up Automated Reports

    Configure automatic updates for real-time analysis.

Key Metrics to Track

  • Monthly Recurring Revenue (MRR)
  • Average Revenue Per User (ARPU)
  • Customer Lifetime Value (LTV)
  • Churn Rate and Revenue Churn
  • Revenue Growth Rate

Advanced Analysis Techniques

  • Create cohort analysis reports
  • Build revenue forecasting models
  • Segment revenue by customer type
  • Analyze seasonal patterns

Sharing and Collaboration

  • Set up automated email reports
  • Create shared dashboards for team access
  • Configure view-only permissions
  • Enable real-time collaboration