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@@ -17,18 +17,21 @@ Market sizing provides the foundation for startup strategy, fundraising, and bus
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### The Three-Tier Market Framework
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**TAM (Total Addressable Market)**
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- Total revenue opportunity if achieving 100% market share
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- Defines the universe of potential customers
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- Used for long-term vision and market validation
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- Example: All email marketing software revenue globally
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**SAM (Serviceable Available Market)**
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- Portion of TAM targetable with current product/service
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- Accounts for geographic, segment, or capability constraints
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- Represents realistic addressable opportunity
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- Example: AI-powered email marketing for e-commerce in North America
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**SOM (Serviceable Obtainable Market)**
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- Realistic market share achievable in 3-5 years
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- Accounts for competition, resources, and market dynamics
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- Used for financial projections and fundraising
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@@ -37,18 +40,21 @@ Market sizing provides the foundation for startup strategy, fundraising, and bus
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### When to Use Each Methodology
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**Top-Down Analysis**
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- Use when established market research exists
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- Best for mature, well-defined markets
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- Validates market existence and growth
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- Starts with industry reports and narrows down
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**Bottom-Up Analysis**
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- Use when targeting specific customer segments
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- Best for new or niche markets
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- Most credible for investors
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- Builds from customer data and pricing
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**Value Theory**
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- Use when creating new market categories
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- Best for disruptive innovations
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- Estimates based on value creation
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@@ -61,12 +67,14 @@ Market sizing provides the foundation for startup strategy, fundraising, and bus
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Start with total market size and narrow to addressable segments.
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**Process:**
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1. Identify total market category from research reports
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2. Apply geographic filters (target regions)
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3. Apply segment filters (target industries/customers)
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4. Calculate competitive positioning adjustments
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**Formula:**
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```
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TAM = Total Market Category Size
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SAM = TAM × Geographic % × Segment %
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@@ -84,12 +92,14 @@ SOM = SAM × Realistic Capture Rate (2-5%)
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Build market size from customer segment calculations.
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**Process:**
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1. Define target customer segments
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2. Estimate number of potential customers per segment
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3. Determine average revenue per customer
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4. Calculate realistic penetration rates
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**Formula:**
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```
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TAM = Σ (Segment Size × Annual Revenue per Customer)
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SAM = TAM × (Segments You Can Serve / Total Segments)
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@@ -107,6 +117,7 @@ SOM = SAM × Realistic Penetration Rate (Year 3-5)
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Calculate based on value created and willingness to pay.
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**Process:**
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1. Identify problem being solved
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2. Quantify current cost of problem (time, money, inefficiency)
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3. Calculate value of solution (savings, gains, efficiency)
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@@ -114,6 +125,7 @@ Calculate based on value created and willingness to pay.
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5. Multiply by addressable customer base
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**Formula:**
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```
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Value per Customer = Problem Cost × % Solved by Solution
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Price per Customer = Value × Willingness to Pay % (10-30%)
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@@ -135,6 +147,7 @@ SOM = SAM × Realistic Adoption Rate
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Clearly specify what market is being measured.
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**Questions to answer:**
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- What problem is being solved?
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- Who are the target customers?
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- What's the product/service category?
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@@ -142,6 +155,7 @@ Clearly specify what market is being measured.
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- What's the time horizon?
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**Example:**
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- Problem: E-commerce companies struggle with email marketing automation
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- Customers: E-commerce stores with >$1M annual revenue
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- Category: AI-powered email marketing software
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@@ -153,12 +167,14 @@ Clearly specify what market is being measured.
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Identify credible data for calculations.
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**Top-Down Sources:**
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- Industry research reports (Gartner, Forrester, IDC)
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- Government statistics (Census, BLS, trade associations)
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- Public company filings and earnings
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- Market research firms (Statista, CB Insights, PitchBook)
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**Bottom-Up Sources:**
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- Customer interviews and surveys
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- Sales data and CRM records
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- Industry databases (LinkedIn, ZoomInfo, Crunchbase)
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@@ -166,6 +182,7 @@ Identify credible data for calculations.
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- Academic research
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**Value Theory Sources:**
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- Customer problem quantification
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- Time/cost studies
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- ROI case studies
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@@ -176,18 +193,21 @@ Identify credible data for calculations.
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Apply chosen methodology to determine total market.
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**For Top-Down:**
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1. Find total category size from research
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2. Document data source and year
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3. Apply growth rate if needed
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4. Validate with multiple sources
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**For Bottom-Up:**
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1. Count total potential customers
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2. Calculate average annual revenue per customer
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3. Multiply to get TAM
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4. Break down by segment
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**For Value Theory:**
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1. Quantify total addressable customer base
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2. Calculate value per customer
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3. Estimate pricing based on value
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@@ -198,6 +218,7 @@ Apply chosen methodology to determine total market.
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Narrow TAM to serviceable addressable market.
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**Apply Filters:**
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- Geographic constraints (regions you can serve)
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- Product limitations (features you currently have)
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- Customer requirements (size, industry, use case)
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@@ -205,11 +226,13 @@ Narrow TAM to serviceable addressable market.
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- Regulatory or compliance restrictions
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**Formula:**
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```
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SAM = TAM × (% matching all filters)
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```
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**Example:**
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- TAM: $10B global email marketing
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- Geographic filter: 40% (North America)
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- Product filter: 30% (e-commerce focus)
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@@ -221,6 +244,7 @@ SAM = TAM × (% matching all filters)
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Determine realistic obtainable market share.
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**Consider:**
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- Current market share of competitors
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- Typical market share for new entrants (2-5%)
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- Resources available (funding, team, time)
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@@ -229,12 +253,14 @@ Determine realistic obtainable market share.
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- Time to achieve (3-5 years typically)
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**Conservative Approach:**
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```
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SOM (Year 3) = SAM × 2%
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SOM (Year 5) = SAM × 5%
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```
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**Example:**
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- SAM: $720M
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- Year 3 SOM: $720M × 2% = $14.4M
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- Year 5 SOM: $720M × 5% = $36M
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@@ -244,6 +270,7 @@ SOM (Year 5) = SAM × 5%
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Cross-check using multiple methods.
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**Validation Techniques:**
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1. Compare top-down and bottom-up results (should be within 30%)
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2. Check against public company revenues in space
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3. Validate customer count assumptions
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@@ -252,6 +279,7 @@ Cross-check using multiple methods.
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6. Compare to similar market categories
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**Red Flags:**
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- TAM that's too small (< $1B for VC-backed startups)
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- TAM that's too large (unsupported by data)
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- SOM that's too aggressive (> 10% in 5 years for new entrant)
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@@ -262,12 +290,14 @@ Cross-check using multiple methods.
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### SaaS Markets
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**Key Metrics:**
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- Number of potential businesses in target segment
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- Average contract value (ACV)
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- Typical market penetration rates
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- Expansion revenue potential
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**TAM Calculation:**
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```
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TAM = Total Target Companies × Average ACV × (1 + Expansion Rate)
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```
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@@ -275,11 +305,13 @@ TAM = Total Target Companies × Average ACV × (1 + Expansion Rate)
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### Marketplace Markets
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**Key Metrics:**
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- Gross Merchandise Value (GMV) of category
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- Take rate (% of GMV you capture)
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- Total transactions or users
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**TAM Calculation:**
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```
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TAM = Total Category GMV × Expected Take Rate
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```
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@@ -287,11 +319,13 @@ TAM = Total Category GMV × Expected Take Rate
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### Consumer Markets
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**Key Metrics:**
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- Total addressable users/households
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- Average revenue per user (ARPU)
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- Engagement frequency
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**TAM Calculation:**
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```
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TAM = Total Users × ARPU × Purchase Frequency per Year
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```
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@@ -299,11 +333,13 @@ TAM = Total Users × ARPU × Purchase Frequency per Year
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### B2B Services
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**Key Metrics:**
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- Number of target companies by size/industry
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- Average project value or retainer
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- Typical buying frequency
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**TAM Calculation:**
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```
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TAM = Total Target Companies × Average Deal Size × Deals per Year
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```
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@@ -313,6 +349,7 @@ TAM = Total Target Companies × Average Deal Size × Deals per Year
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### For Investors
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**Structure:**
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1. Market definition and problem scope
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2. TAM/SAM/SOM with methodology
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3. Data sources and assumptions
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@@ -320,6 +357,7 @@ TAM = Total Target Companies × Average Deal Size × Deals per Year
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5. Competitive landscape context
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**Key Points:**
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- Lead with bottom-up calculation (most credible)
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- Show triangulation with top-down
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- Explain conservative assumptions
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@@ -329,6 +367,7 @@ TAM = Total Target Companies × Average Deal Size × Deals per Year
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### For Strategy
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**Structure:**
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1. Addressable customer segments
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2. Prioritization by opportunity size
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3. Entry strategy by segment
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@@ -336,6 +375,7 @@ TAM = Total Target Companies × Average Deal Size × Deals per Year
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5. Resource requirements
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**Key Points:**
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- Focus on SAM and SOM
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- Show segment-level detail
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- Connect to go-to-market plan
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@@ -345,26 +385,31 @@ TAM = Total Target Companies × Average Deal Size × Deals per Year
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## Common Mistakes to Avoid
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**Mistake 1: Confusing TAM with SAM**
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- Don't claim entire market as addressable
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- Apply realistic product/geographic constraints
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- Be honest about serviceable market
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**Mistake 2: Overly Aggressive SOM**
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- New entrants rarely capture > 5% in 5 years
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- Account for competition and resources
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- Show realistic ramp timeline
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**Mistake 3: Using Only Top-Down**
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- Investors prefer bottom-up validation
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- Top-down alone lacks credibility
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- Always triangulate with multiple methods
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**Mistake 4: Cherry-Picking Data**
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- Use consistent, recent data sources
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- Don't mix methodologies inappropriately
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- Document all assumptions clearly
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**Mistake 5: Ignoring Market Dynamics**
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- Account for market growth/decline
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- Consider competitive intensity
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- Factor in switching costs and barriers
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@@ -374,6 +419,7 @@ TAM = Total Target Companies × Average Deal Size × Deals per Year
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### Reference Files
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For detailed methodologies and frameworks:
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- **`references/methodology-deep-dive.md`** - Comprehensive guide to each methodology with step-by-step worksheets
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- **`references/data-sources.md`** - Curated list of market research sources, databases, and tools
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- **`references/industry-templates.md`** - Specific templates for SaaS, marketplace, consumer, B2B, and fintech markets
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@@ -381,6 +427,7 @@ For detailed methodologies and frameworks:
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### Example Files
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Working examples with complete calculations:
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- **`examples/saas-market-sizing.md`** - Complete TAM/SAM/SOM for a B2B SaaS product
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- **`examples/marketplace-sizing.md`** - Marketplace platform market opportunity calculation
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- **`examples/value-theory-example.md`** - Value-based market sizing for disruptive innovation
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@@ -15,6 +15,7 @@ Complete TAM/SAM/SOM calculation for a B2B SaaS startup using bottom-up and top-
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### Step 1: Define Target Customer Segments
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**Segment Criteria:**
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- E-commerce companies (D2C and marketplace sellers)
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- $1M+ in annual revenue
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- North America based
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@@ -22,13 +23,14 @@ Complete TAM/SAM/SOM calculation for a B2B SaaS startup using bottom-up and top-
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**Segment Breakdown:**
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| Segment | Annual Revenue | Count | ACV | Priority |
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|---------|---------------|-------|-----|----------|
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| Small E-commerce | $1M-$5M | 85,000 | $3,600 | High |
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| Mid-Market E-commerce | $5M-$50M | 18,000 | $9,600 | High |
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| Enterprise E-commerce | $50M+ | 2,500 | $24,000 | Medium |
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| Segment | Annual Revenue | Count | ACV | Priority |
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| --------------------- | -------------- | ------ | ------- | -------- |
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| Small E-commerce | $1M-$5M | 85,000 | $3,600 | High |
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| Mid-Market E-commerce | $5M-$50M | 18,000 | $9,600 | High |
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| Enterprise E-commerce | $50M+ | 2,500 | $24,000 | Medium |
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**Data Sources:**
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- U.S. Census Bureau: E-commerce business counts
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- Shopify, BigCommerce, WooCommerce: Published merchant counts
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- Statista: E-commerce market statistics
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@@ -37,11 +39,13 @@ Complete TAM/SAM/SOM calculation for a B2B SaaS startup using bottom-up and top-
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### Step 2: Calculate TAM (Total Addressable Market)
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**Formula:**
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```
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TAM = Σ (Segment Count × Annual Contract Value)
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```
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**Calculation:**
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```
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Small E-commerce: 85,000 × $3,600 = $306M
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Mid-Market: 18,000 × $9,600 = $173M
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@@ -51,6 +55,7 @@ TAM (North America): $539M
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```
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**Global Expansion Multiplier:**
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- North America = 35% of global e-commerce market
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- Global TAM = $539M / 0.35 = $1.54B
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@@ -80,6 +85,7 @@ TAM (North America): $539M
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**SAM = $169M**
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**SAM Breakdown by Segment:**
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```
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Small E-commerce: $306M × 0.45 × 0.70 = $96M (57%)
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Mid-Market: $173M × 0.45 × 0.70 = $54M (32%)
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@@ -91,22 +97,26 @@ Enterprise: $60M × 0.45 × 0.70 = $19M (11%)
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**Market Share Assumptions:**
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**Year 3 Target: 2.5% of SAM**
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- Typical new entrant market share
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- Requires strong product-market fit
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- Assumes $10M in funding for GTM
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**Year 5 Target: 5% of SAM**
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- Achievable with scale and brand
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- Requires effective sales and marketing
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- Assumes additional funding for growth
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**Calculation:**
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||||
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```
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SOM (Year 3) = $169M × 2.5% = $4.2M ARR
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SOM (Year 5) = $169M × 5.0% = $8.5M ARR
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```
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**SOM by Segment (Year 5):**
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||||
|
||||
```
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Small E-commerce: $96M × 5% = $4.8M ARR (565 customers)
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Mid-Market: $54M × 5% = $2.7M ARR (281 customers)
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@@ -117,12 +127,12 @@ Total: $8.5M ARR (888 customers)
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||||
### Bottom-Up Summary
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| Metric | North America | Notes |
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|--------|---------------|-------|
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| **TAM** | $539M | All e-commerce $1M+ revenue |
|
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| **SAM** | $169M | AI-ready, addressable switching market |
|
||||
| **SOM (Year 3)** | $4.2M | 2.5% market share, 495 customers |
|
||||
| **SOM (Year 5)** | $8.5M | 5% market share, 888 customers |
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| Metric | North America | Notes |
|
||||
| ---------------- | ------------- | -------------------------------------- |
|
||||
| **TAM** | $539M | All e-commerce $1M+ revenue |
|
||||
| **SAM** | $169M | AI-ready, addressable switching market |
|
||||
| **SOM (Year 3)** | $4.2M | 2.5% market share, 495 customers |
|
||||
| **SOM (Year 5)** | $8.5M | 5% market share, 888 customers |
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||||
## Methodology 2: Top-Down Analysis (Validation)
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@@ -132,6 +142,7 @@ Total: $8.5M ARR (888 customers)
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**Source:** Gartner Market Share Report (2024)
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**Global Email Marketing Software Market:**
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||||
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||||
- Market Size: $7.5B (2024)
|
||||
- Growth Rate: 12% CAGR
|
||||
- Geography: Worldwide
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@@ -141,42 +152,47 @@ Total: $8.5M ARR (888 customers)
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### Step 2: Apply Geographic Filter
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||||
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**North America Market Share:**
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||||
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||||
- North America = 40% of global software spending
|
||||
- Email Marketing NA = $7.5B × 0.40 = $3.0B
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||||
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### Step 3: Apply Segment Filters
|
||||
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||||
**E-Commerce Focus:**
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||||
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||||
- E-commerce email marketing = 25% of total email marketing
|
||||
- E-commerce segment = $3.0B × 0.25 = $750M
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||||
|
||||
**$1M+ Revenue Filter:**
|
||||
|
||||
- Companies with $1M+ revenue = 65% of e-commerce market
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||||
- TAM = $750M × 0.65 = $488M
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||||
|
||||
**AI-Powered Subset:**
|
||||
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||||
- AI-powered email marketing = 35% of market (growing rapidly)
|
||||
- SAM = $488M × 0.35 = $171M
|
||||
|
||||
### Top-Down Summary
|
||||
|
||||
| Metric | Amount | Calculation |
|
||||
|--------|--------|-------------|
|
||||
| **TAM** | $488M | NA e-commerce email marketing $1M+ |
|
||||
| **SAM** | $171M | AI-powered subset |
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||||
| Metric | Amount | Calculation |
|
||||
| ------- | ------ | ---------------------------------- |
|
||||
| **TAM** | $488M | NA e-commerce email marketing $1M+ |
|
||||
| **SAM** | $171M | AI-powered subset |
|
||||
|
||||
## Triangulation and Validation
|
||||
|
||||
### Comparing Methodologies
|
||||
|
||||
| Metric | Bottom-Up | Top-Down | Variance |
|
||||
|--------|-----------|----------|----------|
|
||||
| **TAM** | $539M | $488M | +10% |
|
||||
| **SAM** | $169M | $171M | -1% |
|
||||
| Metric | Bottom-Up | Top-Down | Variance |
|
||||
| ------- | --------- | -------- | -------- |
|
||||
| **TAM** | $539M | $488M | +10% |
|
||||
| **SAM** | $169M | $171M | -1% |
|
||||
|
||||
**Validation Result:** ✅ Excellent alignment (< 2% variance on SAM)
|
||||
|
||||
**Why alignment matters:**
|
||||
|
||||
- Bottom-up and top-down within 10% gives high confidence
|
||||
- SAM alignment of 1% is exceptional
|
||||
- Use bottom-up as primary (more granular)
|
||||
@@ -185,12 +201,14 @@ Total: $8.5M ARR (888 customers)
|
||||
### Public Company Validation
|
||||
|
||||
**Klaviyo (Public, KVYO):**
|
||||
|
||||
- 2024 Revenue: ~$700M
|
||||
- Focus: E-commerce email/SMS marketing
|
||||
- Market Share: ~46% of our SAM
|
||||
- Validates large e-commerce email market exists
|
||||
|
||||
**Mailchimp (Intuit-owned):**
|
||||
|
||||
- 2024 Revenue: ~$800M (estimated)
|
||||
- Broader focus, includes SMBs
|
||||
- Significant e-commerce customer base
|
||||
@@ -219,25 +237,28 @@ Total: $8.5M ARR (888 customers)
|
||||
### Market Growth Assumptions
|
||||
|
||||
**Email Marketing Market CAGR: 12%**
|
||||
|
||||
- Source: Gartner market forecast
|
||||
- Drivers: E-commerce growth, marketing automation adoption
|
||||
|
||||
**AI Subset Growth: 25% CAGR**
|
||||
|
||||
- Higher than overall market
|
||||
- AI adoption accelerating in marketing
|
||||
- More companies seeking AI-powered tools
|
||||
|
||||
### SAM Evolution (5-Year Forecast)
|
||||
|
||||
| Year | SAM | Growth | Notes |
|
||||
|------|-----|--------|-------|
|
||||
| 2026 | $169M | - | Starting point |
|
||||
| 2027 | $211M | +25% | AI adoption accelerating |
|
||||
| 2028 | $264M | +25% | Mainstream adoption begins |
|
||||
| 2029 | $330M | +25% | AI becomes table stakes |
|
||||
| 2030 | $413M | +25% | Market maturity |
|
||||
| Year | SAM | Growth | Notes |
|
||||
| ---- | ----- | ------ | -------------------------- |
|
||||
| 2026 | $169M | - | Starting point |
|
||||
| 2027 | $211M | +25% | AI adoption accelerating |
|
||||
| 2028 | $264M | +25% | Mainstream adoption begins |
|
||||
| 2029 | $330M | +25% | AI becomes table stakes |
|
||||
| 2030 | $413M | +25% | Market maturity |
|
||||
|
||||
**Growing SAM Impact:**
|
||||
|
||||
- Year 5 SOM of 5% applied to $413M SAM = $20.6M potential
|
||||
- Provides headroom for growth
|
||||
- Supports expansion beyond initial 5% share
|
||||
@@ -247,17 +268,20 @@ Total: $8.5M ARR (888 customers)
|
||||
### Market Share Distribution
|
||||
|
||||
**Current Leaders:**
|
||||
|
||||
- Klaviyo: ~46% share
|
||||
- Mailchimp: ~35% share
|
||||
- Others: ~19% share (fragmented)
|
||||
|
||||
**Market Dynamics:**
|
||||
|
||||
- Two dominant players
|
||||
- Long tail of smaller competitors
|
||||
- Opportunity in AI-differentiated positioning
|
||||
- Typical SaaS market consolidation pattern
|
||||
|
||||
**Implications for SOM:**
|
||||
|
||||
- 5% share requires strong differentiation
|
||||
- AI capabilities could drive 10-15% share long-term
|
||||
- Acquisition potential if unable to reach scale
|
||||
@@ -324,22 +348,26 @@ Demonstrates large, proven market
|
||||
## Key Takeaways
|
||||
|
||||
**Market Sizing Results:**
|
||||
|
||||
- TAM: $1.5B globally, $539M North America
|
||||
- SAM: $169M (North America, AI-ready customers)
|
||||
- SOM: $4.2M (Year 3), $8.5M (Year 5)
|
||||
|
||||
**Methodology:**
|
||||
|
||||
- Bottom-up primary (most granular and credible)
|
||||
- Top-down validation (<2% variance on SAM)
|
||||
- Public company validation (Klaviyo, Mailchimp)
|
||||
|
||||
**Investment Implications:**
|
||||
|
||||
- Market supports venture-scale outcome
|
||||
- 5% market share achievable with strong execution
|
||||
- Growing market (25% CAGR) provides tailwinds
|
||||
- Competitive but differentiated positioning possible
|
||||
|
||||
**Next Steps:**
|
||||
|
||||
1. Validate pricing assumptions with customer research
|
||||
2. Refine segment prioritization based on GTM capacity
|
||||
3. Update SAM annually as market evolves
|
||||
|
||||
@@ -7,24 +7,28 @@ Curated list of credible sources for market research and sizing analysis.
|
||||
### Premium Research Firms
|
||||
|
||||
**Gartner** (https://www.gartner.com)
|
||||
|
||||
- Technology market forecasts and sizing
|
||||
- Magic Quadrants for competitive positioning
|
||||
- Typical cost: $5K-$50K per report
|
||||
- Best for: Enterprise software, IT services, emerging tech
|
||||
|
||||
**Forrester** (https://www.forrester.com)
|
||||
|
||||
- Business technology and digital transformation
|
||||
- Wave evaluations for vendor comparison
|
||||
- Typical cost: $3K-$30K per report
|
||||
- Best for: Marketing tech, customer experience, B2B
|
||||
|
||||
**IDC** (https://www.idc.com)
|
||||
|
||||
- IT market intelligence and sizing
|
||||
- Detailed segment breakdowns
|
||||
- Typical cost: $4K-$40K per report
|
||||
- Best for: Hardware, software, IT services
|
||||
|
||||
**McKinsey** (https://www.mckinsey.com/featured-insights)
|
||||
|
||||
- Free insights and reports
|
||||
- Strategic industry analysis
|
||||
- Best for: Industry trends, macroeconomic context
|
||||
@@ -32,21 +36,25 @@ Curated list of credible sources for market research and sizing analysis.
|
||||
### Accessible Research
|
||||
|
||||
**Statista** (https://www.statista.com)
|
||||
|
||||
- Cost: $39/month individual, $199/month business
|
||||
- Coverage: 80,000+ topics across industries
|
||||
- Best for: Quick market size estimates, charts, trends
|
||||
|
||||
**CB Insights** (https://www.cbinsights.com)
|
||||
|
||||
- Cost: Custom pricing (typically $10K+/year)
|
||||
- Coverage: Venture capital, startup markets
|
||||
- Best for: Emerging markets, competitive intelligence
|
||||
|
||||
**PitchBook** (https://pitchbook.com)
|
||||
|
||||
- Cost: Institutional pricing
|
||||
- Coverage: Private company valuations, M&A, VC
|
||||
- Best for: Startup valuations, funding trends
|
||||
|
||||
**Grand View Research** (https://www.grandviewresearch.com)
|
||||
|
||||
- Cost: $2K-$5K per report
|
||||
- Coverage: B2C and emerging markets
|
||||
- Best for: Consumer markets, healthcare, cleantech
|
||||
@@ -56,21 +64,25 @@ Curated list of credible sources for market research and sizing analysis.
|
||||
### U.S. Government Sources
|
||||
|
||||
**U.S. Census Bureau** (https://www.census.gov)
|
||||
|
||||
- Free, authoritative demographic data
|
||||
- Economic census every 5 years
|
||||
- Best for: Business counts, demographics, spending
|
||||
|
||||
**Bureau of Labor Statistics** (https://www.bls.gov)
|
||||
|
||||
- Free employment and economic data
|
||||
- Industry-specific statistics
|
||||
- Best for: Employment trends, wages, productivity
|
||||
|
||||
**SEC EDGAR** (https://www.sec.gov/edgar)
|
||||
|
||||
- Free public company filings
|
||||
- 10-K, 10-Q reports with segment revenue
|
||||
- Best for: Validating market size with public company data
|
||||
|
||||
**Data.gov** (https://www.data.gov)
|
||||
|
||||
- Free government datasets
|
||||
- Aggregates across agencies
|
||||
- Best for: Specialized industry data
|
||||
@@ -78,14 +90,17 @@ Curated list of credible sources for market research and sizing analysis.
|
||||
### International Sources
|
||||
|
||||
**OECD** (https://data.oecd.org)
|
||||
|
||||
- Free international economic data
|
||||
- Best for: Cross-country comparisons
|
||||
|
||||
**World Bank** (https://data.worldbank.org)
|
||||
|
||||
- Free global development data
|
||||
- Best for: Emerging markets, macro trends
|
||||
|
||||
**Eurostat** (https://ec.europa.eu/eurostat)
|
||||
|
||||
- Free European Union statistics
|
||||
- Best for: European market sizing
|
||||
|
||||
@@ -94,22 +109,27 @@ Curated list of credible sources for market research and sizing analysis.
|
||||
Industry associations often publish market research:
|
||||
|
||||
**Software & SaaS**
|
||||
|
||||
- Software & Information Industry Association (SIIA)
|
||||
- Cloud Security Alliance (CSA)
|
||||
|
||||
**E-commerce & Retail**
|
||||
|
||||
- National Retail Federation (NRF)
|
||||
- Digital Commerce 360
|
||||
|
||||
**Financial Services**
|
||||
|
||||
- American Bankers Association (ABA)
|
||||
- Financial Technology Association (FTA)
|
||||
|
||||
**Healthcare**
|
||||
|
||||
- Healthcare Information and Management Systems Society (HIMSS)
|
||||
- American Hospital Association (AHA)
|
||||
|
||||
**Manufacturing**
|
||||
|
||||
- National Association of Manufacturers (NAM)
|
||||
- Industrial Internet Consortium (IIC)
|
||||
|
||||
@@ -118,21 +138,25 @@ Industry associations often publish market research:
|
||||
### B2B Databases
|
||||
|
||||
**LinkedIn Sales Navigator** ($99/month)
|
||||
|
||||
- Company and employee counts
|
||||
- Industry filters
|
||||
- Best for: B2B customer counting
|
||||
|
||||
**ZoomInfo** (Custom pricing)
|
||||
|
||||
- Company databases with firmographics
|
||||
- Contact data
|
||||
- Best for: B2B TAM calculations
|
||||
|
||||
**Crunchbase** ($29-$99/month)
|
||||
|
||||
- Startup company data
|
||||
- Funding and employee information
|
||||
- Best for: Tech startup markets
|
||||
|
||||
**BuiltWith** ($295-$995/month)
|
||||
|
||||
- Technology usage data
|
||||
- Website analytics
|
||||
- Best for: Technology adoption sizing
|
||||
@@ -140,14 +164,17 @@ Industry associations often publish market research:
|
||||
### Consumer Data
|
||||
|
||||
**Euromonitor** (Custom pricing)
|
||||
|
||||
- Consumer market research
|
||||
- Best for: B2C product markets
|
||||
|
||||
**Nielsen** (Custom pricing)
|
||||
|
||||
- Consumer behavior and media
|
||||
- Best for: CPG, retail, media markets
|
||||
|
||||
**Mintel** (Custom pricing)
|
||||
|
||||
- Consumer trends and insights
|
||||
- Best for: B2C products and services
|
||||
|
||||
@@ -156,11 +183,13 @@ Industry associations often publish market research:
|
||||
### Market Research Aggregators
|
||||
|
||||
**Research and Markets** (https://www.researchandmarkets.com)
|
||||
|
||||
- Aggregates reports from 100+ publishers
|
||||
- $500-$10K per report
|
||||
- Search across all major research firms
|
||||
|
||||
**MarketsandMarkets** (https://www.marketsandmarkets.com)
|
||||
|
||||
- Custom and syndicated research
|
||||
- $4K-$10K per report
|
||||
- Good for niche B2B markets
|
||||
@@ -168,14 +197,17 @@ Industry associations often publish market research:
|
||||
### Free Search Tools
|
||||
|
||||
**Google Scholar** (https://scholar.google.com)
|
||||
|
||||
- Free academic research
|
||||
- Best for: Emerging technologies, academic validation
|
||||
|
||||
**SSRN** (https://www.ssrn.com)
|
||||
|
||||
- Free working papers
|
||||
- Best for: Financial services, economics
|
||||
|
||||
**arXiv** (https://arxiv.org)
|
||||
|
||||
- Free preprints in CS, physics, etc.
|
||||
- Best for: AI/ML, scientific markets
|
||||
|
||||
@@ -184,28 +216,34 @@ Industry associations often publish market research:
|
||||
### Public Company Analysis
|
||||
|
||||
**Yahoo Finance** (Free)
|
||||
|
||||
- Public company financials
|
||||
- Segment revenue from earnings
|
||||
|
||||
**Seeking Alpha** (Free + Premium)
|
||||
|
||||
- Earnings transcripts
|
||||
- Analyst estimates
|
||||
|
||||
**Public company investor relations**
|
||||
|
||||
- Annual reports (10-K)
|
||||
- Investor presentations
|
||||
|
||||
### Private Company Intelligence
|
||||
|
||||
**PrivCo** (Custom pricing)
|
||||
|
||||
- Private company financials
|
||||
- M&A transaction data
|
||||
|
||||
**Owler** (Free + Premium)
|
||||
|
||||
- Company profiles and news
|
||||
- Revenue estimates
|
||||
|
||||
**SimilarWeb** (Free + Premium)
|
||||
|
||||
- Website traffic analytics
|
||||
- Best for: Online business sizing
|
||||
|
||||
@@ -214,28 +252,34 @@ Industry associations often publish market research:
|
||||
### Survey Tools
|
||||
|
||||
**SurveyMonkey** ($25-$75/month)
|
||||
|
||||
- DIY surveys
|
||||
- Best for: Customer willingness to pay
|
||||
|
||||
**Typeform** ($25-$83/month)
|
||||
|
||||
- Conversational surveys
|
||||
- Best for: User research
|
||||
|
||||
**Qualtrics** (Enterprise pricing)
|
||||
|
||||
- Professional research platform
|
||||
- Best for: Large-scale studies
|
||||
|
||||
### Panel Providers
|
||||
|
||||
**Respondent.io** ($100-$200 per response)
|
||||
|
||||
- Recruit professionals for interviews
|
||||
- Best for: B2B customer research
|
||||
|
||||
**UserTesting** ($49 per participant)
|
||||
|
||||
- User research and testing
|
||||
- Best for: Product validation
|
||||
|
||||
**Google Surveys** ($0.10-$3.50 per response)
|
||||
|
||||
- Quick consumer surveys
|
||||
- Best for: Basic consumer insights
|
||||
|
||||
@@ -244,26 +288,31 @@ Industry associations often publish market research:
|
||||
When evaluating sources:
|
||||
|
||||
**Authority**
|
||||
|
||||
- [ ] Who published the research?
|
||||
- [ ] What's their reputation?
|
||||
- [ ] Do they have industry expertise?
|
||||
|
||||
**Methodology**
|
||||
|
||||
- [ ] How was data collected?
|
||||
- [ ] What's the sample size?
|
||||
- [ ] When was research conducted?
|
||||
|
||||
**Recency**
|
||||
|
||||
- [ ] Is data current (< 2 years old)?
|
||||
- [ ] Has market changed significantly?
|
||||
- [ ] Are growth rates still applicable?
|
||||
|
||||
**Consistency**
|
||||
|
||||
- [ ] Do multiple sources agree?
|
||||
- [ ] Are definitions consistent?
|
||||
- [ ] Do numbers triangulate?
|
||||
|
||||
**Relevance**
|
||||
|
||||
- [ ] Does it match your market definition?
|
||||
- [ ] Is geography appropriate?
|
||||
- [ ] Are segments aligned?
|
||||
@@ -271,18 +320,21 @@ When evaluating sources:
|
||||
## Free vs. Paid Strategy
|
||||
|
||||
**Start with free sources:**
|
||||
|
||||
1. Government data for customer counts
|
||||
2. Public company filings for segment revenue
|
||||
3. Trade associations for industry trends
|
||||
4. Google Scholar for academic research
|
||||
|
||||
**Upgrade to paid when:**
|
||||
|
||||
- Raising institutional funding (investors expect premium sources)
|
||||
- Need detailed segment breakdowns
|
||||
- Market is niche or emerging
|
||||
- Free sources are outdated or insufficient
|
||||
|
||||
**Cost-effective approach:**
|
||||
|
||||
- Buy 1-2 key reports that cover your core market
|
||||
- Use free sources for triangulation
|
||||
- Supplement with primary research (customer interviews)
|
||||
@@ -293,6 +345,7 @@ When evaluating sources:
|
||||
Always cite sources in market sizing:
|
||||
|
||||
**Format:**
|
||||
|
||||
```
|
||||
Market Size: $X.XB
|
||||
Source: [Publisher], [Report Name], [Date]
|
||||
@@ -300,6 +353,7 @@ URL: [link if available]
|
||||
```
|
||||
|
||||
**Example:**
|
||||
|
||||
```
|
||||
Email Marketing Software TAM: $7.5B (2024)
|
||||
Source: Gartner, "Market Share: Email Marketing Software, Worldwide, 2024"
|
||||
@@ -307,6 +361,7 @@ Note: Includes all email marketing software revenue globally
|
||||
```
|
||||
|
||||
**Include:**
|
||||
|
||||
- Publisher and report name
|
||||
- Publication date
|
||||
- Geography and scope
|
||||
@@ -316,26 +371,31 @@ Note: Includes all email marketing software revenue globally
|
||||
## Keeping Research Current
|
||||
|
||||
**Set Google Alerts**
|
||||
|
||||
- Industry keywords
|
||||
- Company names
|
||||
- Market terms
|
||||
|
||||
**Follow Research Firms**
|
||||
|
||||
- Twitter accounts
|
||||
- LinkedIn updates
|
||||
- Free newsletter summaries
|
||||
|
||||
**Track Public Companies**
|
||||
|
||||
- Earnings calendars
|
||||
- Investor relations pages
|
||||
- Annual reports
|
||||
|
||||
**Join Industry Groups**
|
||||
|
||||
- LinkedIn groups
|
||||
- Slack communities
|
||||
- Trade associations
|
||||
|
||||
**Review Annually**
|
||||
|
||||
- Update market size with new data
|
||||
- Adjust growth assumptions
|
||||
- Revisit methodology if market changed
|
||||
@@ -352,6 +412,7 @@ Note: Includes all email marketing software revenue globally
|
||||
6. **Triangulate** (15 min) - Compare sources
|
||||
|
||||
**Document everything:**
|
||||
|
||||
- Write down all sources
|
||||
- Note all assumptions
|
||||
- Show your methodology
|
||||
|
||||
Reference in New Issue
Block a user