1. What this prompt does

• Function: This prompt turns your Stripe revenue data into a powerful business dashboard—analyzing trends, identifying high-value customers, breaking down subscriptions vs one-time payments, calculating churn/CLV, and delivering actionable optimization strategies.
• Target:
  • SaaS founders needing instant revenue insights
  • E-commerce managers tracking payment health and customer value
  • Finance/ops teams optimizing pricing and forecasting growth
  • Digital product creators seeking new market opportunities
• Benefit:
  • Save hours on manual Excel analysis—get AI-powered insights instantly
  • Get clear, prioritized growth recommendations tailored to your business
  • Avoid missed revenue from failed payments or refunds
  • Uncover untapped customer and geographic opportunities with zero guesswork

2. How do you use this prompt?

1. Open Claude
2. Export your latest Stripe revenue data as CSV or table
3. Copy the prompt below along with your Stripe data
4. Paste into Claude and run
   User Input :

Please help me analyze Stripe's revenue data and provide optimization suggestions: 1. Analyze revenue trends and growth patterns over the past 6 months; 2. Identify key revenue sources and high-value customers; 3. Analyze the performance of subscriptions and one-time payments; 4. Calculate customer lifetime value and churn rate; 5. Identify opportunities and bottlenecks for revenue growth; 6. Analyze the profitability of different products and services; 7. Evaluate the impact of payment failures and refunds; 8. Create revenue forecasts and target setting; 9. Optimize pricing strategies and packaging solutions; 10. Analyze geographic distribution and market opportunities; 11. Establish a revenue monitoring and early warning mechanism; 12. Generate revenue optimization and growth strategy recommendations.

5. Receive a detailed report with revenue trends, customer analysis, CLV, churn, payment health, and actionable growth strategies

3. When will you need this prompt?

• Startup founders → Before fundraising or board meetings, to show growth and spot risks
• E-commerce managers → After a new product launch, to check which SKUs drive revenue and where customers drop off
• Finance teams → During quarterly planning, to set realistic targets and optimize pricing plans
• Growth hackers → When testing new markets, to analyze geographic performance and market fit
• Product managers → To monitor the impact of new features or pricing changes on churn and customer value