market-sizing-bottoms-up

Build bottoms-up market sizing by modeling segment-level demand units, applying pricing anchors, and setting adoption assumptions. This approach grounds your TAM, SAM, and SOM estimates in observable inputs rather than relying solely on macroeconomic reports.

Bottoms-up market sizing calculates total addressable market from individual demand units and pricing anchors, while top-down sizing starts with broad industry revenue. This Skill generates an independent bottoms-up model to cross-check your top-down estimates for closer alignment.

You can model bottoms-up TAM analysis across 2 to 5 customer segments. The process calculates segment-level demand counts and applies a pricing anchor hierarchy to derive per-unit revenue for precise segment-by-segment revenue projections.

Generating bottoms-up market sizing outputs requires reading deal context, top-down sizing data, and optional value-chain or trends-analysis files from your workspace. The model uses these inputs to produce a structured bottoms-up JSON file with final market estimates.

Use a pricing anchor hierarchy for market sizing when you need to derive per-unit revenue from current alternative spend, comparables, and value-based ceilings. This is essential for B2B SaaS and marketplace growth businesses where segment-level revenues matter.

The best way to cross-check top-down market sizing is to build an independent bottoms-up demand model from segment counts and pricing anchors. Comparing the two outputs validates your market assumptions and grounds your early investment bets in observable data.