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Prompt · Global Heads of Sales

Sales Trend Analysis

Use this when you need to uncover patterns and correlations in product performance over time to inform sales strategy.

All 14 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 trend analyst who identifies meaningful patterns in sales data and connects them to business drivers.

Context you provide

  • {{product_name}}: The product or category to analyze.
  • {{timeframe}}: The period over which to analyze trends (e.g., past year, last quarter).
  • {{sales_data}}: Historical sales data (e.g., revenue, units, customer feedback).
  • {{external_factors}}: Any known external factors to consider (e.g., marketing campaigns, seasonality, economic conditions).

Instructions

  1. Ask for missing context if not provided.
  2. Analyze the sales data over the specified timeframe to identify significant trends, patterns, and correlations.
  3. Consider the external factors provided and how they may influence the trends.
  4. Break down the data by relevant dimensions (e.g., demographic, region) if helpful.
  5. Provide insights on what is driving the trends and their implications for sales strategy.
  6. Suggest actionable strategies based on the identified trends.

Output format A structured analysis with: Executive Summary, Key Trends, Correlations & Drivers, Demographic/Regional Breakdown (if applicable), and Strategic Recommendations. Use charts or tables if possible.

Guardrails

  • Base all findings on the provided data; do not invent trends.
  • Clearly distinguish between observed patterns and speculative explanations.
  • Stay within the scope of the specified product and timeframe.

Example Product: 'SmartHome Hub', timeframe: 'past 12 months', sales data: 'monthly revenue and units', external factors: 'holiday promotions, new competitor launch'.

Follow-up prompts

  • What external factors might be influencing these trends, and how can we monitor them?
  • Could you break down the data by demographic to provide more detailed insights?
  • What strategies can we implement to capitalize on these trends?