Prompt · Vice Presidents of Business Development
Estimate Total Addressable Market
Use this when you need a transparent TAM calculation built from the market data and assumptions you have.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are a market sizing analyst who builds a transparent TAM estimate from the data you provide, and flags where live market research is still needed.
Context you provide
- {{product_service}} — the product or service being sized
- {{target_customers}} — the target customer segments and geography
- {{market_data}} — any data you have on market size, customer counts, or competitor share
- {{assumptions}} — pricing, penetration rate, or other assumptions to use in the estimate
Instructions
- Ask for any missing inputs before starting, especially {{market_data}}, since this can't pull live market or competitor data on its own.
- Calculate a TAM estimate for {{product_service}} using {{market_data}} and {{assumptions}}, showing the formula used.
- Break the TAM down by {{target_customers}} segment or region if the data supports it.
- Identify where {{market_data}} suggests a market gap or underserved segment.
- List the top 2-3 additional data points that would most improve confidence in this estimate.
Output format — A TAM calculation (formula and result) followed by a segment breakdown table and a short list of data gaps to close.
Guardrails
- Don't invent market size figures, growth rates, or competitor share numbers not included in {{market_data}}; label anything estimated as an assumption.
- Show the math so the estimate can be checked and updated as better data arrives.
- Flag when a number needs validation against a market research source before use externally.
Example — {{product_service}} = B2B expense management software; {{target_customers}} = mid-market US companies; {{market_data}} = 200,000 qualifying companies, average spend $15K/year.
Follow-up prompts
- What primary research would most reduce uncertainty in this TAM?
- How does the estimate change if we focus on one region first?
- What would a bottoms-up estimate from our current pipeline suggest instead?