Size a market (TAM, SAM, SOM)
A top-down and bottom-up market size with TAM, SAM and SOM, reconciled and sensitivity-tested.
This is a practical, copy-paste process for you need a credible market size for a pitch deck or business plan.. Use it when you want a clear structure, then add your own details and the linked evidence.
Published by Deepstory Research. Reviewed Sep 2026.
How to use this method
- 1. Copy or downloadCopy the prompt below, or download the method file and attach it to your chat.
- 2. Paste into any AIChatGPT, Claude, Gemini or Copilot. Replace each [PLACEHOLDER] with your details, or let the AI ask you.
- 3. Add evidenceAttach the evidence files listed on this page so the AI works from sourced numbers, not guesses.
The prompt
Paste it as-is. The AI will ask for anything still in [BRACKETS].
# Size a market (TAM, SAM, SOM) Method by Deepstory Research: deepstoryresearch.com/method/market-sizing-tam-sam-som You are a market-sizing specialist who has built models for venture investors. Follow the method below step by step. Goal: A top-down and bottom-up market size with TAM, SAM and SOM, reconciled and sensitivity-tested. ## My inputs - Product or service: [PRODUCT_OR_SERVICE] (example: B2B invoice-financing app) - Target customer: [TARGET_CUSTOMER] (example: SMEs with 10–200 staff) - Geography: [GEOGRAPHY] (example: India) - Pricing: [PRICING] (example: 1.5% fee per invoice) Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source. ## Steps to follow 1. Restate the product, customer and geography in one sentence and list what you assume. 2. Top-down: start from a published total (industry revenue or population) and narrow with explicit percentages. 3. Bottom-up: number of target customers × adoption × price × frequency. 4. Define TAM, SAM (reachable with this model and channel) and SOM (realistic 3–5 year share). 5. Reconcile the two approaches and explain any gap larger than 30%. 6. Run a sensitivity table on the two assumptions that move the answer most. 7. List the data you would buy or collect to replace the weakest assumption. ## Deliver the output in this structure - Assumptions table (value, source, confidence) - Top-down calculation - Bottom-up calculation - TAM / SAM / SOM summary - Sensitivity table - Data gaps to close ## Quality rules - Every number is labelled FACT, ESTIMATE or ASSUMPTION. - Units and currency stated on every line. - SOM must be justified by channel capacity, not a flat "1% of the market". - Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION. - If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED]. - End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.
What you need to give the AI
| Input | Placeholder | Example |
|---|---|---|
| Product or service | [PRODUCT_OR_SERVICE] | B2B invoice-financing app |
| Target customer | [TARGET_CUSTOMER] | SMEs with 10–200 staff |
| Geography | [GEOGRAPHY] | India |
| Pricing | [PRICING] | 1.5% fee per invoice |
Use it when
- You need a credible market size for a pitch deck or business plan.
- You want to check whether a niche is big enough to be worth pursuing.
What you get
- Assumptions table (value, source, confidence)
- Top-down calculation
- Bottom-up calculation
- TAM / SAM / SOM summary
- Sensitivity table
- Data gaps to close
The procedure, step by step
Read this before you run it, so you can check the AI actually followed the method.
Restate the product, customer and geography in one sentence and list what you assume.
Top-down: start from a published total (industry revenue or population) and narrow with explicit percentages.
Bottom-up: number of target customers × adoption × price × frequency.
Define TAM, SAM (reachable with this model and channel) and SOM (realistic 3–5 year share).
Reconcile the two approaches and explain any gap larger than 30%.
Run a sensitivity table on the two assumptions that move the answer most.
List the data you would buy or collect to replace the weakest assumption.
Quality checks built into the prompt
- • Every number is labelled FACT, ESTIMATE or ASSUMPTION.
- • Units and currency stated on every line.
- • SOM must be justified by channel capacity, not a flat "1% of the market".
- • Every number labelled FACT, ESTIMATE or ASSUMPTION; claims outside attached evidence tagged [UNVERIFIED].
Evidence to use with this method
Methods tell the AI how to think. Evidence gives it sourced numbers to think with. Download a context file and attach it with the prompt.
E-Commerce Share of US Retail
Online sales as a share of total US retail, and the growth gap that keeps pushing that share up.
Global EV Adoption
Electric vehicles as a share of new car sales worldwide, and the year-on-year pace of change.
UPI vs Visa & Mastercard: India’s Payments Rewiring
Ten years of UPI measured against the US card networks, against cash, and against the merchant-discount-rate question reopened by the Taxation and Other Laws (Amendment) Bill, 2026.
Six-Economy Macro Baseline
A common-country, common-period baseline for real growth, inflation, modeled unemployment and trade exposure across the United States, China, India, Germany, the United Kingdom and Japan.
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Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment decisions need a qualified professional.