Market size

Market Size — Evidence-Backed Market Intelligence

Bottom-up market sizing calibrated for bootstrapped reality. We don't need billion-dollar TAMs. We need a niche we can dominate, customers we can reach, and revenue that compounds.

Philosophy

Read .claude/skills/_shared/philosophy.md for the full bottleneck shift and bootstrapper framework. For market sizing specifically:

Small is beautiful, not a bug.

A $10M niche you can dominate > a $10B market where you're noise. Bootstrappers don't raise Series A to chase total addressable markets. They find a beachhead, own it, and expand from strength.

Bottom-up over top-down. Analyst reports project fantasy numbers for investor decks. We count real customers × real willingness to pay. Top-down is context. Bottom-up is truth.

TRM (Total Reachable Market) is the key metric. Not TAM. Not SAM. TRM: the revenue you can actually capture through your channels, with your resources, in 24 months. Everything else is decoration.

Demand signals outrank analyst projections. People already paying > people actively searching > analysts predicting. If nobody is paying for alternatives, the market is theoretical. If competitors have revenue, the market is validated.

AI-native lens: when code is cheap, more competitors enter fast. Every niche that looks attractive will have 10 new entrants within a year. Speed to beachhead dominance matters more than TAM precision. The market window is the time between when you spot the niche and when it gets crowded.

Reference Books

Check references/INDEX.md for relevant frameworks. Key topics for market sizing: TAM/SAM/SOM methodology and beachhead selection, market sizing exercises and validation frameworks, customer development for bottom-up sizing, adoption lifecycle and chasm crossing, niche selection and stair-step approach, demand validation and willingness-to-pay research.

Research-First Protocol

Research autonomously before outputting anything. See _shared/philosophy.md for the full protocol. Key searches: industry data, competitor pricing, market reports, census data, job postings, community sizes, directories, marketplace listings.

Sub-Skill Mode

See _shared/philosophy.md Sub-Skill Mode Protocol.

End-to-End Flow

STEP 0 — CONTEXT GATHERING

Extract from the user's input:

• The business idea (what product/service, who it serves)
• Geographic scope (local, national, global, specific regions)
• Pricing expectations or range (if stated)
• Any known competitors or existing alternatives
• Target customer segment (if stated)

If the idea description is too vague to begin sizing (e.g., just "a SaaS tool"), ask ONE clarifying question. Otherwise, proceed to research.

STEP 1 — TOP-DOWN RESEARCH (macro context)

Use WebSearch to find industry-level numbers. This provides context, NOT the answer.

Search queries to run (adapt to the specific market):

• "[industry/category] market size [current year]"
• "[industry/category] market growth rate CAGR"
• "[industry/category] industry report"
• "[product category] spending trends"
• "[industry] number of businesses/companies/practitioners"

What to capture:

• Total industry market size (global, then relevant geography)
• Growth rate (CAGR) and maturity stage
• Key market segments and their relative sizes
• Analyst projections and their assumptions

Bootstrapper discount: Apply a 5-10x discount to analyst TAM numbers. Analyst TAMs are built for VC pitch decks — they include adjacent markets, aspirational segments, and enterprise budgets a bootstrapper will never touch. A $5B "market" may have a $50-100M segment relevant to a bootstrapper.

STEP 2 — BOTTOM-UP ESTIMATION (the real number)

This is the step that matters. Count real things.

Customer count estimation — find the denominator:

• Business directories (industry associations, professional directories)
• LinkedIn company/people searches (job titles, industries)
• Government data (census, BLS, SBA, Companies House)
• Job posting volumes for target roles
• Industry association membership numbers
• Marketplace/app store install counts
• Community sizes (subreddits, forums, Slack/Discord groups)
• Conference/event attendance numbers

Willingness to pay (WTP) — find the numerator:

• Competitor pricing as primary proxy (what people already pay)
• Adjacent product pricing (what they pay for similar tools)
• Survey data or market research (if available via web search)
• Price elasticity signals (competitor tier distribution, review complaints about pricing)

Calculate the stack:

Metric	How to Calculate
TAM	Total potential customers in the category × average annual spend
SAM	TAM filtered by geography, segment, and product fit
SOM	SAM filtered by realistic penetration rate (1-5% year 1 for bootstrapper)
TRM	Customers reachable through YOUR specific channels × YOUR price point × conversion estimate

TRM by channel — break down reachable customers by distribution channel:

• Organic search (keyword volume × CTR × conversion)
• Marketplace (category traffic × listing conversion)
• Content/community (audience size × conversion)
• Outbound (reachable contacts × response rate × close rate)
• Referral (existing customer base × referral rate)
• Paid (budget ÷ CAC)

Confidence assessment:

• High confidence: Multiple data sources converge, competitor revenue visible, customer count verifiable
• Medium confidence: Some data sources available, estimates required for key variables
• Low confidence: Mostly estimates, few verifiable data points, novel market

STEP 3 — BEACHHEAD IDENTIFICATION

Find the single segment to win first. A beachhead must be specific enough to dominate with limited resources.

Score candidate segments on:

Factor	What to Evaluate	Weight
Pain intensity	How badly does this segment need a solution?	High
Willingness to pay	Evidence they already pay for alternatives	High
Reachability	Can you reach them through channels you have/can build?	High
Word-of-mouth	Do they talk to each other? (conferences, communities, associations)	Medium
Competition gap	Are they underserved by current solutions?	Medium
Expansion path	Does winning here open adjacent segments?	Medium

Beachhead must be specific. Not "small businesses" — "Shopify store owners doing $500K-$2M annual revenue selling physical products in the US." Specific enough to write targeted copy, find them in a directory, and count them.

STEP 4 — DEMAND SIGNAL VALIDATION

Prove that people already pay for solutions to this problem. Demand signals ranked by strength:

Signal	Strength	How to Find
Competitor revenue	Strongest	Crunchbase, press releases, podcast interviews, SaaS revenue databases
Marketplace install counts	Strong	App store listings, plugin directories, Chrome Web Store
Job postings	Strong	LinkedIn Jobs, Indeed — roles that exist because the problem exists
Search volume	Medium	Google Trends, keyword research tools
Community complaints	Medium	Reddit threads, forum posts, review site complaints
Adjacent spending	Medium	What they currently spend on workarounds (Excel, agencies, manual processes)
Analyst predictions	Weakest	Market research reports (backward-looking, inflated)

Verdict:

• VALIDATED — Multiple strong demand signals, competitors with revenue, customers paying
• PARTIALLY VALIDATED — Some signals present but incomplete, or only weak signals
• UNVALIDATED — No evidence of paying customers, theoretical demand only

STEP 5 — MARKET DYNAMICS

Assess the structural characteristics that determine whether this market is good for a bootstrapper.

Growth trajectory:

• Emerging (pre-chasm, few competitors, educating market)
• Growing (post-chasm, expanding demand, new entrants)
• Mature (stable, consolidated, growth from share gains)
• Declining (shrinking demand, commoditization)

Concentration:

• Fragmented (no player > 10% share) → niche dominance play
• Moderately concentrated (top 3 hold 30-50%) → find underserved edges
• Concentrated (top 3 hold > 60%) → dangerous, need clear differentiation

Buyer dynamics:

• Who decides? (individual contributor, manager, executive, committee)
• Sales cycle length (self-serve minutes, days, weeks, quarters)
• Budget source (discretionary, allocated, must-have)
• Switching costs (low = easier to acquire, harder to retain)

Adoption stage (Technology Adoption Lifecycle):

• Innovators / early adopters (2.5-16%) — evangelist sales, high tolerance
• Early majority (34%) — pragmatist buyers, need references and whole product
• Late majority (34%) — conservative, need standards and simplicity
• Laggards (16%) — forced adoption only

Pricing trends:

• Rising (demand > supply, or increasing value capture)
• Stable (mature, well-understood pricing)
• Declining (commoditization, race to bottom, new free alternatives)

STEP 6 — REVENUE CEILING ANALYSIS

What's the realistic revenue ceiling for a bootstrapped entrant in this market?

Three scenarios:

Scenario	Assumption	Revenue Model
Conservative	Beachhead only, organic channels, slow growth	TRM × low conversion × low price
Base	Beachhead + 1 adjacent segment, mixed channels	TRM × moderate conversion × mid price
Optimistic	Multiple segments, strong distribution, premium positioning	SAM × higher penetration × premium price

Stair-step compatibility:

• Can this start as a smaller product (plugin, template, one-time tool) and grow into recurring SaaS?
• Does the market support a stair-step approach? (start simple → add features → expand scope)
• Is there a $1K-$10K MRR product hiding inside a bigger vision?

Revenue benchmarks for bootstrapped SaaS:

Stage	Monthly Revenue	What It Means
Ramen profitable	$3-5K MRR	Covers founder living costs
Sustainable solo	$10-20K MRR	Comfortable solo operation
Small team viable	$30-80K MRR	Can hire 1-3 people
Established	$100-250K MRR	Real business, $1-3M ARR
Scale-up ready	$250K+ MRR	Expansion optionality

Ceiling verdict:

• HIGH CEILING — Realistic path to $1M+ ARR with bootstrapped resources
• MODERATE CEILING — $100K-$1M ARR achievable, good lifestyle or stair-step business
• LOW CEILING — <$100K ARR likely, may not justify the effort unless very low maintenance
• UNCERTAIN — Not enough data to project with confidence

STEP 7 — MARKET RISK ASSESSMENT

What can go wrong with this market specifically?

Risk Category	What to Evaluate
Market shrinkage	Is the market growing or contracting? Could it shrink in 3-5 years?
Commoditization	Is the product becoming a commodity? Race to free/zero?
Platform dependency	Does the market depend on a platform you don't control? (Shopify, Google, Apple, AWS)
Regulation	Are there regulatory changes that could kill or reshape the market?
Cyclicality	Is demand stable or tied to economic cycles? (recession-proof vs. discretionary)
Winner-take-all dynamics	Do network effects or data moats favor consolidation? Will one player own 80%?
AI disruption	Could an AI tool replace the need for this product entirely?
Customer concentration	Is the market dominated by a few large buyers? (dangerous for bootstrappers)

STEP 8 — OUTPUT

Produce the full report using the template below.

Output Template

# MARKET SIZE INTELLIGENCE: [Market/Idea Name]

Research date: [date]
Geography: [scope]
Confidence level: [High / Medium / Low]

---

## BOOTSTRAPPER MARKET VALIDITY

Is this market viable for a bootstrapped entrant?

- [ ] Bottom-up TAM exceeds $10M (enough room for a niche player — if the founder's stated ARR target is under $1M AND the TRM gate passes, this gate can pass at $5M)
- [ ] TRM exceeds $500K ARR (enough reachable revenue to sustain a business)
- [ ] Demand is validated (competitors have revenue, customers are paying)
- [ ] Beachhead segment is identifiable and reachable
- [ ] Revenue ceiling exceeds founder's minimum threshold

Gates passed: [X/5]
If fewer than 3 gates pass: **RED FLAG — market may not support a bootstrapped business.**

---

## MARKET SIZE ESTIMATES

### Top-Down Context

| Metric | Value | Source | Notes |
|--------|-------|--------|-------|
| Global market size | | | |
| Relevant geography | | | |
| CAGR | | | |
| Maturity stage | | | |
| Bootstrapper-adjusted TAM | | | [Global TAM ÷ 5-10x discount] |

⚠️ Top-down numbers are context, not targets. See bottom-up for actionable numbers.

### Bottom-Up Calculation

**Customer count:**
- [Source 1]: [number] potential customers — [how derived]
- [Source 2]: [number] potential customers — [how derived]
- **Estimated total addressable customers**: [number]

**Willingness to pay:**
- Competitor pricing range: $[low]-$[high]/mo
- Median price point: $[X]/mo
- Price band: $[low] (entry) → $[mid] (typical) → $[high] (premium)

**Market size stack:**

| Metric | Customers | × Price | = Annual Revenue |
|--------|-----------|---------|-----------------|
| **TAM** | [total addressable] | $[avg annual] | $[TAM] |
| **SAM** | [serviceable] | $[avg annual] | $[SAM] |
| **SOM** (Year 1) | [obtainable] | $[your price] | $[SOM] |
| **TRM** (24 months) | [reachable] | $[your price] | $[TRM] |

### TRM by Channel

| Channel | Reachable Customers | Conversion Est. | Revenue Potential | Confidence |
|---------|-------------------|----------------|-------------------|------------|
| Organic search | | | | |
| Marketplace | | | | |
| Content/community | | | | |
| Outbound | | | | |
| Referral | | | | |
| Paid | | | | |
| **Total TRM** | | | **$[total]** | |

### Confidence Assessment

**Overall confidence**: [High / Medium / Low]
- What we know: [verified data points]
- What we estimated: [assumptions made]
- What we don't know: [gaps that would change the numbers]

---

## BEACHHEAD MARKET

### Primary Beachhead

**Segment**: [Specific description — not "small businesses" but "US-based Shopify stores doing $500K-$2M in physical product revenue"]

**Beachhead drift**: [ALIGNED / DRIFTED — if drifted, evidence-based segment vs. founder assumption. See _shared/philosophy.md Beachhead Drift section for drift patterns.]

**Why this beachhead:**
- Pain: [specific pain this segment feels]
- WTP: [evidence they pay for solutions]
- Reachability: [how you reach them — channels, communities, directories]
- Size: [count of customers in this specific segment]
- Expansion path: [adjacent segments this opens]

### Segment Evaluation Matrix

| Segment | Pain Intensity | WTP | Reachability | Word-of-Mouth | Competition Gap | Expansion Path | Score |
|---------|---------------|-----|-------------|---------------|----------------|----------------|-------|
| [Beachhead] | | | | | | | |
| [Alternative 1] | | | | | | | |
| [Alternative 2] | | | | | | | |

(Rate each: Strong / Medium / Weak)

### Expansion Path

Beachhead → [Adjacent Segment 1] → [Adjacent Segment 2] → [Broader Market]

[Explain the logic of each expansion step — what you learn, what you build, what credibility you earn]

---

## DEMAND SIGNALS

| Signal | Finding | Strength | Source |
|--------|---------|----------|--------|
| Competitor revenue | | Strongest / Strong / Medium / Weak | |
| Marketplace installs | | | |
| Job postings | | | |
| Search volume | | | |
| Community complaints | | | |
| Adjacent spending | | | |
| Analyst predictions | | | |

**Demand verdict**: VALIDATED / PARTIALLY VALIDATED / UNVALIDATED
[1-2 sentence summary of demand evidence]

---

## MARKET DYNAMICS

**Growth trajectory**: [Emerging / Growing / Mature / Declining] — [evidence]

**Concentration**: [Fragmented / Moderate / Concentrated] — [top players and estimated share]

**Buyer dynamics**:
- Decision maker: [who]
- Sales cycle: [length]
- Budget type: [discretionary / allocated / must-have]
- Switching costs: [low / medium / high]

**Adoption stage**: [Innovators / Early Adopters / Early Majority / Late Majority]
[What this means for GTM approach]

**Pricing trends**: [Rising / Stable / Declining] — [evidence]

---

## REVENUE CEILING ANALYSIS

| Scenario | Customers | Price | MRR | ARR | Assumption |
|----------|-----------|-------|-----|-----|-----------|
| **Conservative** | | | | | |
| **Base** | | | | | |
| **Optimistic** | | | | | |

**Stair-step compatibility**: [Yes / Partial / No]
[Can this start as a simpler product and grow? What's the $5K MRR version?]

**Ceiling verdict**: HIGH CEILING / MODERATE CEILING / LOW CEILING / UNCERTAIN
[1-2 sentence explanation — is this a $100K, $1M, or $10M business for a bootstrapper?]

---

## MARKET RISKS

| # | Risk | Severity | Likelihood | Impact on Bootstrapper |
|---|------|----------|------------|----------------------|
| 1 | | Critical / High / Medium / Low | High / Medium / Low | |
| 2 | | | | |
| 3 | | | | |

**What kills this market for a bootstrapper**: [One sentence — the single most likely market-level failure mode, not execution risk]

---

## PRICE BAND SENSITIVITY TEST

How do the numbers change at different price points?

| Price Point | Addressable Customers | TRM | Competitive Position | Verdict |
|-------------|---------------------|-----|---------------------|---------|
| $[low]/mo | [more customers] | | [undercut everyone] | |
| $[mid]/mo | [baseline] | | [competitive] | |
| $[high]/mo | [fewer customers] | | [premium, needs differentiation] | |

---

## BOTTOM LINE

[2-3 sentence verdict. Is this market viable for a bootstrapper? What's the realistic revenue opportunity? What's the single biggest market risk? What makes this market interesting — or not?]

**Top 3 actions for the next 14 days:**
1. [Specific market validation action with measurable outcome]
2. [Specific market validation action with measurable outcome]
3. [Specific market validation action with measurable outcome]

**The honest answer to "is this market big enough?":** [One sentence]

---
[If invoked as sub-skill: produce DIGEST summary per `_shared/philosophy.md` Digest Mode format]

Important Rules

See _shared/philosophy.md Universal Skill Rules.

Skill-specific rules:

• No vanity TAM — never lead with "This is a $X billion market" without immediately discounting it for bootstrapper reality. Top-down is context, bottom-up is truth.
• Bottom-up over top-down — if top-down and bottom-up disagree, trust bottom-up. Explain the gap.
• TRM is the key metric — TAM impresses VCs, TRM determines if you eat. Always calculate TRM by channel.
• Beachhead must be specific — "SMBs" is not a beachhead. A beachhead has a name, a job title, a company size, a geography, and a channel to reach them.
• AI-native lens — when code is cheap, new competitors flood every attractive niche. Factor in market window: how long before 10 copycats appear? Speed to beachhead dominance > TAM precision.
• Price band sensitivity — always test the numbers at low/mid/high price points. A market that only works at $99/mo but competitors charge $29/mo is a problem.
• Demand signals are evidence, not predictions — "people already pay $X for Y" beats "analysts project $X growth" every time.
• Cite sources with methodology — every market number needs a named source: "LinkedIn search shows 45,000 professionals with this title in the US" not "approximately 50K potential customers."