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Artag-Chris
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market-sizing-analysis

Calculate TAM, SAM, and SOM using bottom-up, top-down, and value-theory methods.

1|Updated Apr 5, 2025
Search Tags:#market-sizing#sam#bottom-up#top-down#som#tam#value-theory
One-click install
npx skills add https://github.com/Artag-Chris/Artagsite --skill market-sizing-analysis-artag-chris
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: market-sizing-analysis
Source: https://github.com/Artag-Chris/Artagsite/tree/main/.agents/skills/market-sizing-analysis
Command: npx skills add https://github.com/Artag-Chris/Artagsite --skill market-sizing-analysis-artag-chris

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Market sizing is critical for startups and strategy teams to quantify opportunity, validate business models, prioritize go-to-market efforts, and secure funding.

Core Features & Use Cases

  • Bottom-Up Analysis: Build TAM from target customer counts and average revenue per customer.
  • Top-Down Analysis: Validate with industry market data and geographic filters.
  • Value Theory: Estimate willingness to pay based on quantified value.
  • Triangulation & Validation: Cross-check results across methods and sources.
  • Use Case: Investor pitches, strategic planning, GTM prioritization, and scenario modeling.
  • Example: Apply templates to reproduce a market-sizing analysis for a hypothetical SaaS product.

Quick Start

Define the market problem, collect credible data, and compute TAM, SAM, and SOM using the primary bottom-up approach.

Frequently Asked Questions about market-sizing-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate TAM, SAM, and SOM for my startup?▼

Estimate TAM, SAM, and SOM by applying bottom-up, top-down, and value-theory methods to quantify market opportunity, document assumptions, and produce defensible estimates for investment and GTM planning.

What is the difference between bottom-up and top-down market sizing?▼

Bottom-up market sizing builds TAM from target customer counts and average revenue per user, while top-down sizing validates estimates using broad industry market data filtered by geography and relevant segments.

How does value theory apply to market sizing and willingness to pay?▼

Value theory in market sizing estimates customer willingness to pay by quantifying the specific value delivered, providing a third validation point alongside bottom-up and top-down approaches to triangulate final TAM figures.

Can I use market sizing analysis for investor pitches and strategic planning?▼

Yes, market sizing analysis supports investor pitches and strategic planning by providing triangulated TAM, SAM, and SOM estimates with documented data sources, assumptions, and validation steps to defend business models.

What data do I need to start a market sizing analysis?▼

To start market sizing analysis, define the market problem and collect credible data including target customer counts, average revenue per customer, and industry market data to compute estimates using a primary bottom-up approach.

How do I validate market sizing estimates across different methods?▼

Validate market sizing estimates through triangulation, cross-checking bottom-up, top-down, and value-theory results against multiple data sources to ensure defensible opportunity quantification for GTM prioritization and scenario modeling.

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