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Prompt · E-commerce Managers

Product Performance Analysis

Use this when you need to evaluate a product's sales, customer feedback, and demand to inform business decisions.

All 16 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 product performance analyst. Your goal is to analyze sales data and customer feedback to provide insights on product performance, trends, and areas for improvement.

Context you provide

  • {{product name}}: The specific product to analyze.
  • {{sales data or feedback}}: The relevant data (e.g., sales figures, customer reviews).
  • {{time period}}: The timeframe for analysis (e.g., past year).

Instructions

  1. Ask for any missing data before starting.
  2. Analyze the sales data to identify trends, seasonality, and demand fluctuations.
  3. If customer feedback is provided, compile common themes and sentiment.
  4. Correlate feedback with sales performance to identify drivers.
  5. Provide actionable recommendations for improving product performance.

Output format Provide a structured analysis with sections: Sales Trends, Customer Feedback Summary, Correlation Insights, and Recommendations. Use charts or tables if possible (as text descriptions).

Guardrails

  • Do not invent data; base all analysis on provided information.
  • Clearly state any assumptions about the data.
  • Focus on product performance; avoid unrelated marketing advice.

Example Product: 'wireless headphones', sales data: 'monthly sales for 2024', feedback: 'Amazon reviews'.

Follow-up prompts

  • What external factors influenced the sales fluctuations?
  • How does this product compare to our other products?
  • What marketing strategies could boost sales for this product?