market-sizing

Estimate TAM, SAM, and SOM by combining top-down market research with bottom-up unit economics, applying triangulation and sensitivity analysis to produce evidence-backed sizing reports. This approach requires cited inputs, reproducible math, and explicit assumptions to validate realistic market capture within 1–3 years.

Validate go-to-market reach by running consistency checks between estimated SAM and SOM ranges using bottom-up unit economics. This process quantifies your realistic market capture against the reachable segment, testing penetration rates and ACV through low, base, and high sensitivity scenarios.

Triangulation improves market sizing estimates by cross-validating top-down category research with bottom-up unit economics calculations. This method blends macro-level totals with target-customer counts and expected penetration, reducing vague guesses and producing reproducible, investor-ready market opportunity narratives.

Sensitivity analysis tests key variables like growth rate, penetration rate, and ACV to produce low, base, and high scenarios for TAM and SOM calculations. Even with limited data, this approach quantifies uncertainty and requires explicit assumptions, dated sources, and consistency checks between estimated ranges.

You need a structured TAM SAM SOM report when launching a new product, redefining a segment or geography, validating go-to-market reach, or writing investor-ready sizing narratives. This structured approach replaces vague guesses with reproducible math, cited market data, and explicit risk documentation.

Evidence-backed market sizing requires dated and cited inputs from market reports, government data, SEC filings, comparable transactions, and customer data. These sources support both top-down research and bottom-up unit economics, ensuring reproducible math and explicit assumptions throughout the TAM SAM SOM framework.