Skill

Calculate Startup Market Opportunity

Calculates TAM, SAM and SOM for startups using top-down, bottom-up and value-theory methodologies, with industry-specific formulas.


78
Spark score
out of 100
Updated 8 days ago
Version 15.3.0

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Why it matters

Determine the Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) for your startup. This skill provides methodologies and best practices for accurate market sizing.

Outcomes

What it gets done

01

Calculate TAM using top-down, bottom-up, or value theory approaches.

02

Define and filter for SAM based on product and geographic constraints.

03

Estimate realistic SOM within a 3-5 year timeframe.

04

Validate market sizing calculations through triangulation and expert review.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-market-sizing-analysis | bash

Overview

Market Sizing Analysis

A skill for calculating TAM, SAM, and SOM using top-down, bottom-up, or value-theory methodology, with industry-specific formulas for SaaS, marketplace, consumer, and B2B markets, plus a validation and triangulation process. Use it when building a market-sizing analysis for fundraising or strategy, choosing the methodology that fits available data and structuring the result for the intended audience.

What it does

This skill provides comprehensive market sizing methodology for calculating Total Addressable Market (TAM - total revenue opportunity at 100% market share), Serviceable Available Market (SAM - the portion of TAM reachable with the current product, after geographic/segment/capability constraints), and Serviceable Obtainable Market (SOM - realistic market share achievable in 3-5 years, typically 2-5% of SAM).

It supports three methodologies. Top-down analysis starts from industry research reports and narrows by geographic and segment filters - best for established, well-researched markets, quick but potentially less granular. Bottom-up analysis builds TAM from customer segment counts times average revenue per customer - best for B2B or niche markets and considered most credible for investors, though more time-intensive. Value theory estimates willingness to pay (typically 10-30% of the value created) multiplied by the addressable customer base - best for new categories or disruptive innovation where no existing market data exists.

SAM = TAM × (% matching all filters)

Example: TAM $10B global email marketing x 40% geographic filter x 30% product filter x 60% feature filter = SAM $720M; Year 3 SOM at 2% = $14.4M, Year 5 SOM at 5% = $36M.

The step-by-step process is: (1) define the market - problem, customers, category, geography, time horizon; (2) gather data sources - industry reports (Gartner, Forrester, IDC) and public filings for top-down, customer interviews/CRM/industry databases for bottom-up, ROI case studies and willingness-to-pay surveys for value theory; (3) calculate TAM with the chosen methodology's formula; (4) calculate SAM by applying geographic, product, customer, and regulatory filters to TAM; (5) calculate SOM as a conservative 2-5% capture rate of SAM over 3-5 years; (6) validate and triangulate - top-down and bottom-up results should land within 30% of each other, and red flags include a TAM under $1B for VC-backed startups, an unsupported oversized TAM, a SOM projection above 10% in 5 years, or over 50% disagreement between methodologies.

It gives industry-specific TAM formulas: SaaS (total target companies x average contract value x (1 + expansion rate)), marketplaces (total category GMV x expected take rate), consumer (total users x ARPU x purchase frequency), and B2B services (total target companies x average deal size x deals per year).

When to use - and when NOT to

Use top-down when established market research already exists for a mature market. Use bottom-up when targeting specific, well-understood customer segments - it's the most credible for investors and should generally be led with, with top-down shown as triangulation. Use value theory specifically for new market categories or disruptive innovation where no existing market data applies.

Avoid five common mistakes: confusing TAM with SAM by claiming the entire market as addressable rather than applying realistic constraints; an overly aggressive SOM, since new entrants rarely capture more than 5% within 5 years; relying on top-down alone, which investors find less credible without bottom-up validation; cherry-picking inconsistent or stale data sources across methodologies; and ignoring market dynamics like growth/decline, competitive intensity, and switching costs.

Inputs and outputs

Input is the market definition (problem, target customers, product category, geography, time horizon) and the data sources needed for the chosen methodology. Output is a documented TAM/SAM/SOM calculation with methodology, data sources, and assumptions shown explicitly, structured differently by audience: for investors, market definition through TAM/SAM/SOM, data sources/assumptions, growth projections, and competitive context, leading with the bottom-up number and showing top-down triangulation; for internal strategy, addressable segments prioritized by opportunity size, entry strategy, penetration timeline, and resource requirements, focused on SAM/SOM.

Detailed worksheets live in references/methodology-deep-dive.md, references/data-sources.md, and references/industry-templates.md, with complete worked examples in examples/saas-market-sizing.md, examples/marketplace-sizing.md, and examples/value-theory-example.md.

Who it's for

Founders and startup strategists building market-sizing analysis for fundraising or business planning, who need TAM/SAM/SOM figures that are methodologically sound, triangulated across multiple approaches, and structured appropriately for investor or internal-strategy audiences.

Source README

Market sizing provides the foundation for startup strategy, fundraising, and business planning. Calculate market opportunity using three complementary methodologies: top-down (industry reports), bottom-up (customer segment calculations), and value theory (willingness to pay).

FAQ

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