A vertical SaaS market sized from countable clinics, a real price and a hiring plan, and the test a VC should run against the result.
Bottom-up, TAM is the number of customers who could buy times what each would pay a year; SAM is the share of them the product can actually serve today; SOM is what the sales team can win in five years, built from reps, deals per rep and churn. For an illustrative scheduling tool sold to 30,000 independent vet clinics at $5,760 a year, TAM is $172.8m, SAM $69.1m and SOM $9.33m of ARR, a fifth of the $45m the founder's top-down slide claims.
Worked in full in The Venture Capital Associate by Julian R. Sterling, with every figure reproduced in a free workbook.See the book on Amazon →
Top-down sizing starts from an industry report and takes a percentage. It produces large, unfalsifiable numbers. Bottom-up sizing starts from countable units and a price, so every line can be checked in diligence, and it often shows that the market is smaller than the round needs.
| Input | Value | How to evidence it |
|---|---|---|
| Independent vet clinics in target countries | 30,000 | Registry or association counts |
| Vets (paid seats) per clinic | 4 | Customer interviews, pilot data |
| Price per seat per month | $120 | Current contracts, not the price list |
| Share of clinics on a compatible practice system | 40% | Integration partners' installed base |
| Quota-carrying reps, years 1 to 5 | 2, 4, 6, 8, 10 | The hiring plan in the model |
| Clinics closed per rep per year | 60 | Current reps' actual run rate |
| Annual logo churn | 8% | Cohort data, however short |
| Founder's top-down claim | 1% of $4.5bn | Industry report |
Step 1: annual contract value. Four seats at $120 a month is $480 a clinic a month, or $5,760 a year.
Step 2: TAM. Every clinic that could ever buy, at today's price.
TAM = clinics × ACV = 30,000 × $5,760 = $172.8m
Step 3: SAM. Only clinics running a compatible practice management system can use the product now: 40 per cent, or 12,000 clinics.
SAM = 12,000 × $5,760 = $69.1m
Step 4: SOM, built from capacity. Rather than assuming a share, count what the team can sell. Each year, customers = last year's customers × (1 − churn) + reps × deals per rep.
| Year | Reps | New clinics | Churned | Customers | ARR ($m) |
|---|---|---|---|---|---|
| 1 | 2 | 120 | 0 | 120 | 0.69 |
| 2 | 4 | 240 | 10 | 350 | 2.02 |
| 3 | 6 | 360 | 28 | 682 | 3.93 |
| 4 | 8 | 480 | 55 | 1,108 | 6.38 |
| 5 | 10 | 600 | 89 | 1,619 | 9.33 |
SOM = 1,619 × $5,760 = $9.33m ARR, 13.5% of SAM and 5.4% of TAM
In Excel, with customers in column F: =F2*(1-Churn)+B3*DealsPerRep, then =F6*ACV.
The three numbers answer three different questions. TAM ($172.8m) says how big the company could become if it won every clinic at today's price. SAM ($69.1m) says how much of that it can address without building anything new. SOM ($9.33m) says what the plan delivers. The founder's slide, 1 per cent of a $4.5bn market, implies $45m: 4.8 times what the sales plan can produce. The gap is not optimism; it is the difference between a share of a report and a count of clinics.
The more useful test for a VC is SAM against the exit the fund needs. If a fund-returning outcome needs about $100m of ARR, SAM covers 69 per cent of it. Getting there would take 145 per cent of the serviceable market, which is not a share anyone can win. The investment case therefore rests on expansion: new countries, group practices, payments revenue or a higher price. That is what diligence should test, not the growth rate of the industry report.
| Seats × price | ACV ($) | TAM | SAM | SOM |
|---|---|---|---|---|
| 3 × $90 | 3,240 | 97.2 | 38.9 | 5.25 |
| 3 × $150 | 5,400 | 162.0 | 64.8 | 8.74 |
| 4 × $120 | 5,760 | 172.8 | 69.1 | 9.33 |
| 5 × $120 | 7,200 | 216.0 | 86.4 | 11.66 |
| 5 × $150 | 9,000 | 270.0 | 108.0 | 14.57 |
Price and seats move all three numbers in proportion. Sales capacity moves only SOM: at 40 clinics per rep a year, five-year SOM falls to $6.22m (9.0 per cent of serviceable clinics); at 80 it rises to $12.44m (18.0 per cent). When the founder argues about the market, the diligence question is usually the rep productivity line.
The exit a fund needs from one company is worked in what exit value a startup needs to return the fund, and how the price of the round then translates into the VC's return in how to value a startup with the VC method.
Count the buyers, price them at today's ACV, restrict to those the product can serve, and build SOM from the sales plan: $172.8m, $69.1m and $9.33m here. Then hold SAM against the outcome the fund needs. The free working documents for this book include the market and product sheet, sized from the bottom up.
TAM is revenue if every possible buyer paid today's price; SAM is the part the current product and channels can serve; SOM is what the company can realistically win within a planning horizon. In the illustrative case they are $172.8m, $69.1m and $9.33m, so SOM is 13.5 per cent of SAM and 5.4 per cent of TAM.
Because each input can be checked: buyer counts, price per contract and sales productivity. A top-down claim of 1 per cent of a $4.5bn market implies $45m, while the bottom-up sales plan reaches $9.33m of ARR in five years, 4.8 times less. The disagreement is visible only when the units are counted.
Compare SAM with the ARR a fund-returning exit needs. If that is about $100m, a $69.1m SAM covers only 69 per cent of it, so even a 145 per cent share of the serviceable market would be required. The case must rest on expansion levers, which become the core of diligence.
This article is one calculation from The Venture Capital Associate. The book takes the same case from first principles to the decision, chapter by chapter, and every figure it prints is a live formula in the free companion workbooks.
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