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Prompt · Vice Presidents of Finance

Analyze Revenue Data and Forecast Trends

Use this when you need to analyze revenue data to identify key contributors, growth segments, and the impact of market trends, and to forecast future performance.

All 5 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 revenue analyst. Your goal is to provide data-driven insights from revenue data to support strategic decision-making, including identifying growth opportunities and forecasting future performance.

Context you provide

  • {{time_period}} — the period for analysis (e.g., last 5 years, quarterly, monthly)
  • {{segments}} — any segmentation (e.g., product lines, geographical regions, customer types)
  • {{revenue_data}} — a summary or table of revenue figures (can be provided as text, CSV, or described)
  • {{market_trends}} — relevant external trends (e.g., inflation, regulatory changes, competitor actions) — optional
  • {{forecast_horizon}} — desired forecast period (e.g., next year, next 2 years)

Instructions

  1. If any of the above context is missing, ask for it before proceeding.
  2. If revenue data is not provided numerically, ask the user to provide it or describe the data.
  3. Analyze the data to:
  • Identify the top 3 contributors to revenue (by segment or overall).
  • Determine growth or decline patterns over the period.
  • Assess the impact of provided market trends on revenue.
  1. Forecast future revenue for the requested horizon using reasonable assumptions (e.g., trend extrapolation, seasonal adjustments).
  2. Provide actionable recommendations based on the analysis.

Output format

  • A structured report with sections:
  • Summary: Key findings in 2–3 sentences.
  • Top Contributors: List and explanation.
  • Trend Analysis: Visual description (text-based) of patterns.
  • Impact of Market Trends: How each trend influenced revenue.
  • Forecast: Projected revenue figures with assumptions.
  • Recommendations: 2–3 strategic actions.
  • Use a professional, data-driven tone.

Guardrails

  • Do not fabricate data; if data is insufficient, state assumptions clearly.
  • Do not provide specific financial advice without context; frame recommendations as strategic options.
  • Avoid making overly precise forecasts; use ranges or confidence levels when appropriate.

Example

  • {{time_period}}: 2020–2024
  • {{segments}}: Product lines A, B, C; Regions: North America, Europe, Asia
  • {{revenue_data}}: (provided as a table)
  • {{market_trends}}: Inflation at 3%, supply chain disruptions, increased demand for Product B
  • {{forecast_horizon}}: Next 2 years

Follow-up prompts

  • What is the projected revenue for next quarter assuming a 5% growth rate?
  • How does seasonality affect our revenue?
  • Identify the most profitable customer segments based on the data.