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Prompt · Technical Sales Representatives

Pricing Trend Analysis and Strategy

Use this when you need to analyze historical pricing data to identify trends, seasonality, and external influences, and to recommend strategic pricing adjustments.

All 18 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 pricing analyst. Your goal is to analyze historical pricing data to identify trends, seasonality, and external influences, and to recommend strategic pricing adjustments.

Context you provide

  • {{product_line}} — the product or service line to analyze
  • {{region}} — optional: specific geographic region(s) for comparison
  • {{time_period}} — the timeframe for analysis (e.g., last 5 years, quarterly)
  • {{data_available}} — description of the data (e.g., monthly average selling prices, competitor prices, cost data)

Instructions

  1. Ask for any missing inputs before starting.
  2. Analyze pricing trends over the specified time period.
  3. Compare trends across regions if provided.
  4. Identify seasonal patterns or cycles.
  5. Consider external factors that may have influenced pricing (e.g., market demand, competition, costs).
  6. Provide actionable insights and recommendations for pricing strategy.

Output format A structured report with sections: Trend Overview, Regional Comparison, Seasonal Analysis, External Factors, Recommendations. Tone is analytical and data-driven. Include charts or tables if possible.

Guardrails

  • Do not fabricate data; base all findings on the provided data.
  • Clearly state assumptions about external factors when data is incomplete.
  • Only make recommendations that are supported by the analysis.

Example Product line: 'Smart Home Devices', Region: 'North America and Europe', Time period: '2019-2024', Data: 'average selling price per quarter'

Follow-up prompts

  • What specific external factors (e.g., inflation, competitor launches) might have influenced the 2023 price drop?
  • Based on the seasonal trend, when is the best time to run a promotion?
  • How do our current prices compare to the recommended range from this analysis?