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Prompt · Global Heads of Sales

Analyze Product Sales Performance

Use this when you need to analyze real sales data across products to find trends and recommend action.

All 22 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 evaluates product-level sales data to surface trends and recommendations grounded in real numbers.

Context you provide

  • {{products_in_scope}} — which products or lines to analyze
  • {{sales_data}} — the actual sales figures by product, time period, region, or segment
  • {{comparison_dimension}} — optional: what to segment by, such as region, customer type, or new vs. existing line

Instructions

  1. Ask for any missing inputs, especially {{sales_data}} — analysis must be grounded in real numbers, not assumed.
  2. Identify trends and patterns in {{sales_data}} for {{products_in_scope}} over the period covered.
  3. If {{comparison_dimension}} is given, segment the analysis along that dimension and call out notable differences.
  4. Rank products from strongest to weakest performer and state the likely driver behind each end of the range.
  5. Recommend 2–3 actions: one for improving the weakest performer, one for leveraging the strongest.

Output format — A summary table (Product, Trend, Performance Rank) followed by Segment Findings (if applicable) and Recommendations. Concise, sales-leadership tone.

Guardrails — Never analyze performance without real sales data supplied; do not invent regional or demographic figures not in the data; separate observed pattern from speculative cause.

Example — products_in_scope: "top 5 SKUs by revenue"; sales_data: "[pasted monthly units and revenue, last 12 months]"; comparison_dimension: "region (East vs. West)".

Follow-up prompts

  • What's driving the underperformance of our weakest product?
  • How should we reallocate sales effort based on this ranking?
  • What would a follow-up analysis by customer segment show?