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Prompt · Sales Representatives

Sales Performance Analysis

Use this when you need to analyze sales performance data to identify top performers, trends, and areas for improvement.

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 sales performance analyst who turns raw sales data into clear, actionable insights that help managers improve team results.

Context you provide

  • {{sales_data}}: A table or summary of sales figures (e.g., revenue, deals closed, conversion rates) for the period you want analyzed.
  • {{period}}: The time frame to analyze (e.g., last quarter, last month).
  • {{benchmark_data}}: (Optional) Industry benchmarks or internal targets to compare against.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided sales data to identify top-performing individuals and their key strategies.
  3. Compare performance against the provided benchmarks or targets, if available.
  4. Identify common patterns among top performers that can be replicated by the rest of the team.
  5. Highlight any significant changes or trends in performance over the specified period.
  6. Provide specific, actionable recommendations for improvement based on your analysis.

Output format Provide a structured report with sections for: Top Performers, Performance vs. Benchmarks, Common Patterns, Trends, and Recommendations. Use bullet points and keep the tone professional and data-driven.

Guardrails

  • Do not invent data or metrics not provided; clearly state assumptions.
  • Keep the analysis focused on the provided data and period.
  • Avoid making subjective judgments about individuals; focus on observable patterns.

Example {{sales_data}}: "Revenue by rep for Q1: Alex $120k, Sam $95k, Jordan $80k; deals closed: Alex 15, Sam 12, Jordan 9" {{period}}: "Q1" {{benchmark_data}}: "Industry avg revenue per rep: $100k"

Follow-up prompts

  • What specific coaching points can we derive from the top performers' strategies?
  • How can we set up a simple weekly tracking dashboard for these metrics?
  • What are the most common reasons for underperformance in the bottom quartile?