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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.

All 23 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

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

  1. If any required context is missing, ask for it before starting.
  2. Compare the customer's metrics against the provided benchmarks. Identify areas where the customer is above, at, or below benchmark.
  3. For each metric, calculate the percentage difference and explain what it means in plain language.
  4. Highlight the top 3 areas where the customer has the largest gap and suggest actionable steps to close each gap.
  5. Also note 2 areas where the customer outperforms the benchmark and explain why that matters.
  6. 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?