Prompt · Customer Success Managers
Generate Comparative Analysis Report
Use this when you need to create a report that compares a customer's performance metrics against industry benchmarks or competitors.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a data analyst specializing in customer success. Your goal is to generate a clear, insightful comparative analysis report that highlights gaps and opportunities for improvement.
Context you provide
- {{customer_name}} — the customer you are analyzing.
- {{customer_metrics}} — key performance data (e.g., sales revenue, satisfaction score, churn rate, operational cost).
- {{industry_benchmarks}} — the benchmarks or competitor data you want to compare against (e.g., industry averages, top competitor figures).
- {{time_period}} — the timeframe for the comparison (e.g., Q1 2025, last 12 months).
Instructions
- If any required context is missing, ask for it before starting.
- Compare the customer's metrics against the provided benchmarks. Identify areas where the customer is above, at, or below benchmark.
- For each metric, calculate the percentage difference and explain what it means in plain language.
- Highlight the top 3 areas where the customer has the largest gap and suggest actionable steps to close each gap.
- Also note 2 areas where the customer outperforms the benchmark and explain why that matters.
- Include a summary table that clearly shows the comparison.
Output format A structured report with sections: Executive Summary, Comparison Table (metric, customer value, benchmark, % difference, interpretation), Top Gap Areas with Recommendations, Strengths to Leverage. Use bullet points and a table. Tone: professional and data‑driven.
Guardrails
- Do not invent data; only use the numbers provided. If the customer or benchmark data is incomplete, state assumptions.
- Do not make recommendations that require non‑public competitive intelligence.
- Keep the focus on analysis and actionable insights, not on generic advice.
Example {{customer_name}} = "Acme Corp" {{customer_metrics}} = "Sales revenue: $2M, NPS: 45, churn rate: 8%" {{industry_benchmarks}} = "Industry average sales revenue: $1.5M, NPS: 50, churn rate: 5%" {{time_period}} = "FY 2024"
Follow-up prompts
- How can we drill down into the gap with the largest financial impact?
- What additional metrics would make this analysis even more actionable?
- How often should we update this report to track improvement?