What the money buys: milestones and where it goes
This round funds a team and a marketing engine for 18 months. This page shows what it is meant to achieve, month by month, and then exactly where the money goes.
Draft For the founder's review.
Part 1
The milestones
A milestone is a checkable result by a date. These are the results this round is meant to deliver, and the ones a next round would be priced on. The revenue milestones follow the realistic case of the customer model, starting from the six businesses that already pay Stapilo today.
Paying businesses and monthly revenue
Realistic is the plan we expect. Conservative is the same model if things go slower: fewer people reached, fewer of them buying, more leaving each month. It shows how bad a slow start could look, so investors can judge the downside.
| By month | Realistic (the plan) | Conservative (if slower) | |||
|---|---|---|---|---|---|
| Paying businesses | Monthly revenue | Yearly run-rate | Paying businesses | Monthly revenue | |
| Today | 6 | $2.2k | $27k | 6 | $2.2k |
| 3 | 38 | $13k | $0.2M | 15 | $5k |
| 6 | 104 | $35k | $0.4M | 33 | $11k |
| 9 | 208 | $66k | $0.8M | 62 | $20k |
| 12 | 345 | $103k | $1.2M | 99 | $30k |
| 15 | 500+ | $143k | $1.7M | 145 | $40k |
| 18 | 711 | $183k | $2.2M | 197 | $51k |
The first customers are heavy users at about $350 a month; cheaper entry offers then widen the base, so the average falls from about $350 toward about $260 by month 18. Months 1–3 run lean on the first $100k (see Part 3), so growth starts a little slower and catches up once step 2 funds the full engine. The ads and guru channels are sized to this budget: about $100 of ads per new account (between the research's $50 low case and $267 middle case, because the first ads run partly in cheaper markets; Part 3 shows the $267 case), and about 30 masterminds where partners are met. The model counts only new subscribers plus today's six.
What has to be built and done to get there
| When | Milestone | Why it matters |
|---|---|---|
| Month 0–1 | Company formed, rights to the code and brand transferred into it, bank account open, today's six customers invoiced by the company | Investors buy shares in the company; revenue and IP must sit inside it |
| Month 0–4 | Team in place: 3 developers, 2 campaign owners and a videographer in months 1–3; the full team and the studio from month 4, after step 2 | The founder moves from building to selling and teaching |
| Month 1–3 | Dollar checkout and affiliate program live | Selling internationally depends on it; affiliates are the largest measured growth driver in this market |
| Month 4–6 | Zapier/Make connection and a public API with keys (outgoing webhooks already exist) | All 15 leading platforms have it; customers connect the tools they keep |
| Month 1–3 | Local payments live in the first new countries where Stripe isn't available (shortlist: Uzbekistan, Armenia, Moldova), with local launches and coach meetups | Markets the big platforms serve poorly; Stapilo's processor already accepts merchants there |
| Month 1–3 | Ad campaigns launched to Stapilo's own webinars and masterclasses | The channel that works from day one; course sales help pay for the ads |
| Month 1–3 | Content engine running: about 5 long videos and 25 shorts a week, recorded by the founder on two batch days a week; the production team films, edits and cuts the shorts | Builds the audience that compounds in years 2–3 |
| Month 2–18 | Selling Stapilo's own knowledge: courses, funnels, webinars, paid masterclasses and a mastermind, all run on Stapilo | Teaches the market how to sell, brings in the right customers, and proves the platform by using it |
| Month 1–12 | The founder inside gurus' masterminds and workshops: in months 1–9 the rooms open to any paying member (big ticketed events, mid-tier masterminds, online rooms); the rooms that require $250k–$1M+ of revenue only once Stapilo qualifies. Many rooms meet online; for travel, the founder has held US visas since an exchange program at 15, most recently a 10-year visa, and renews it at the start | Where coaches learn to sell, and where guru partnerships start |
| Month 4–10 | 3 guru partners signed (6 by month 15); podcast running from month 4 | The difference between the conservative and realistic cases |
| Month 1–15 | First-500 success program: hands-on support for the first 500 customers, not only technical but with knowledge (frameworks, masterclasses, the mastermind) and community meetups and discussions | Customers who succeed stay longer and bring others; this is what keeps early churn low |
| Month ~15 | 500 paying businesses | Proof that the model works beyond the first circle |
| Month 15–18 | Ready for the next round on about $1.8–2.3M yearly revenue run-rate | The point where today's investors' shares are re-priced |
The first 90 days, channel by channel
Step 1 runs lean on $100k: ads, the founder's content filmed simply, online guru rooms, the dollar checkout and affiliates. Its goal is 20 paying businesses from outside the founder's circle by month 3; the model expects about 35 new ones, from these channels, with what is measured every week:
| Channel | New accounts, months 1–3 | New paying (12%) | Measured weekly |
|---|---|---|---|
| Ads to Stapilo's webinars and masterclasses | ~120 | ~15 | Cost per registration, show-up, accounts, cost per account |
| Online guru rooms | ~55 | ~7 | Conversations, demos, trials started |
| Founder content | ~70 | ~8 | Views, subscribers, sign-ups from each video |
| Local-payment countries | ~45 | ~5 | Meetups held, coaches onboarded, first local sales |
| Total new, from outside the founder's circle | ~290 | ~35 paying (goal: 20) | Investors see these numbers monthly. With today's six, about 38 paying in all |
The podcast, the studio and the masterclass pilot wait for step 2. Ads are the only channel that works from day one; the others start small and grow. If one channel underdelivers in the first weeks, budget moves to the ones that work, and the month-3 goal shows the result.
Part 2
Where the money goes
An 18-month budget built from the milestones above. Every line is priced from research (salaries from live job ads and salary surveys, event and mastermind prices from organisers' pages, equipment from retailer prices, ad costs from benchmarks and Stapilo's own campaigns) or measured from Stapilo's live system (servers, AI usage). The team is kept small: everyone needed, no one extra.
Spending and revenue, month by month
Months 1–3 run lean (about $28k a month) on the first $100k; month 4 is the heaviest, when step 2 brings the full team, the studio and the big guru rooms. In the realistic case revenue overtakes spending around month 11; in the slow case it doesn't within 18 months, which is why the raise is sized for the slow case.
The budget, line by line
The money milestone by milestone
Base plan and extras
All headline numbers use the base plan: the software business plus one masterclass pilot. It needs about $275k at its lowest point (month 10), earns more than it spends from about month 11, and has earned all of it back by month 18. If the extras prove themselves, the need falls to about $245k, break-even comes a month earlier, and month 18 ends about $320k ahead.
Part 2b
Unit economics: what a customer costs and what a customer is worth
Every dollar spent on winning customers (ads, masterminds, the campaign owners, partner commissions, production, the podcast) divided by the new paying customers it brings:
| Period (expected case) | New paying customers | Cost to win one | Average price | Gross margin | Value of one customer | Value ÷ cost | Months to earn back the cost |
|---|---|---|---|---|---|---|---|
| Months 1–6 | 116 | $2,200 | $337 | 89% | $5,700 | 2.6× | 7.3 |
| Months 7–12 | 332 | $1,010 | $290 | 88% | $4,800 | 4.8× | 4.0 |
| Months 13–18 | 571 | $720 | $238 | 87% | $3,900 | 5.4× | 3.5 |
| All 18 months | 1,019 | $990 | $266 | 88% | $4,400 | 4.5× | 4.2 |
| Slow case with the cut plan, 18 months | 306 | $1,810 | $266 | 88% | $3,500 | 1.9× | 7.7 |
- Gross margin: what's left of a customer's payment after AI usage (~$15 a month, measured today at $10–30), payment fees (~5.7%) and servers (~$3). Partner commissions (~9%) and campaign owners' commission (3%) are not in it: they are counted in the cost to win a customer, so they are not left out, only counted once.
- Measured so far: of the six paying businesses, three have paid for more than 12 months, two for several months and one is new; none has ever left, and all six recorded customer activity in Stapilo within the past day. Too few to measure churn, but consistent with the model's 4.5% a month after the first three months.
- Value of one customer: monthly payment × gross margin × the months a customer stays. The customer model's churn is used: 10% a month in the first three months, then 4.5% a month, so a customer stays about 19 months on average (slow case: 6% after month 3, about 15 months).
- A value-to-cost ratio of 3× or more is considered healthy for software companies. The expected case starts below it (2.6× in months 1–6, while the channels are being built) and passes it from month 7 as they mature. In the slow case, the cut plan (ads held, fewer campaign owners, masterminds only the guaranteed part) keeps it at 1.9×, which is why the slow case is a reason to stop or slow down, not to spend more, with customers who leave faster (6% a month after the first three months).
- By year 3 the cheapest entry offers (around $60 a month) are worth about $800 per customer, so they are sold mostly through the existing list and retargeting, where winning a customer costs far less than through ads or events.
Part 3
How much money, and how it comes in
Step by step: how much does Stapilo need?
1. Money goes out before it comes back. In the first months Stapilo spends more than it earns: first a lean launch, then the full team, the studio, ads and masterminds, while paying customers are still few. Each month the gap is paid from the investment.
2. Then revenue catches up. As customers grow, monthly income rises until it is bigger than monthly spending. From then on Stapilo earns its money back.
3. So the amount needed is the lowest point of the line below: the most money that has gone out, in total, before income takes over.
What the plan depends on most
Two assumptions move the cash need more than anything else: what new customers pay in the first months, and what an ad costs per new account. Each was run through the same budget engine as the plan above, changing only that one input; the last row changes three inputs at once:
| If… | Cash needed | Earns more than it spends from | Month 18 position |
|---|---|---|---|
| The plan: first customers pay about $350, falling along the price ladder; about $100 of ads per new account | $275k | month 11 | +$14k |
| Ads cost $267 per account (the research's middle case) instead of $100 | $330k | month 12 | −$172k |
| New customers pay $200 from day one instead of about $350 | $412k | month 15 | −$331k |
| New customers pay $110 from day one (the long-run market average) | $680k | not within 18 months | −$680k |
| Three things go wrong at once: only 6% of accounts pay (not 12%), ads cost twice as much per account, and customers leave at 7% a month (not 4.5%). The cut plan starts at month 5, as written | $314k | month 12 | −$253k (297 paying, $76k a month) |
Why the plan starts at about $350. The six businesses paying today average $369 a month. The marketing is scheduled as a ladder: the first months aim at businesses that already sell and need the whole platform, backed by hands-on support for the first 500 customers; once that flow runs, the offer widens to smaller niches at lower prices, which is how the average falls toward the market's ~$110 over three years. The first customers are not average customers, by design.
Why this matters less than it looks for an investor. The price is tested within 90 days: step 1's goal needs 20 paying businesses from outside the founder's circle and about $6k of monthly revenue from them, which is only reachable at roughly $300 per customer. If the first customers pay much less, the goal is missed, step 2's price falls by formula, and below 70% of the goal each investor can stop. The cheaper ad case still breaks even within the year. Even with three things going wrong at once, the cut plan keeps the need at about $314k, inside steps 1 and 2; month 3 would show about 12 outside customers instead of 20, so step 2's price falls by formula and investors see the problem within 90 days.
Why not raise it all at once?
Because nobody knows yet which line Stapilo will follow. Asking for $400k or more at once would make investors pay for the worst case before anything is proven. So the money comes in three steps, from the same investors: a small first step of $100k at the lowest price, which proves the one thing nobody has seen yet (strangers buying), then $300k to run the full engine, then $200k for growth. Each step is released only when the one before has reached its goal, and steps 1 and 2 together ($400k) cover even the slow case.
Step 2 is committed once at least 70% of step 1's goal is reached; step 3 is committed and paid when the month-10 goal is met. Total if all three happen: $600k, of which $570k is new cash ($30k is the founder's past spending, see below). Prices before the money: $2.5M for step 1 (the earliest risk, before strangers have bought), $3.5M for step 2, $3.6M for step 3. Investors together would own about 3.8% after step 1, 11.4% after step 2 and 16.1% after step 3.
What happens at each step
An example
An investor commits $60,000, the minimum: $10,000 in step 1, $30,000 in step 2 and $20,000 in step 3.
- Today they pay $10,000 at the step-1 price ($2.5M before the money) and own about 0.38% of Stapilo.
- At month 3 they pay $30,000 more (at $3.5M if the goal of 20 outside customers is met, cheaper if not; below 70% of the goal they may stop). Now about 1.14%.
- At month 10, if the goal is met, they pay the last $20,000 at $3.6M: about 1.61% in total, even though Stapilo is by then expected to be worth well above that.
- If a goal is missed, they decide: invest at a lower price and get more shares, or stop and keep what they already own.
Part 4
After month 18
A short outlook rather than a second detailed budget: the further out a forecast goes, the less it should be trusted, so this part shows direction and value, not line items.
Where Stapilo stands at month 18, and what comes next
| Month 18 | Month 24 | Month 36 | |
|---|---|---|---|
| Paying businesses (expected) | 711 | 1,190 | 2,625 |
| Yearly revenue (expected) | $2.2M | $3.1M | $4.0M |
| Yearly revenue (if sales are slow) | $0.6M | $0.8M | $1.0M |
Around month 18 Stapilo raises a next round from new investors, sized to the plan at the time (typically $1.5–2M at this stage), to scale what is already working: more ads, more countries, a bigger team. In the expected case Stapilo is already paying for itself by then (from about month 11), so this money is for speed, not survival.
What it could mean for today's investors
Illustration, not a promise: values use the same revenue model and multiples as the valuation; real outcomes can be lower or higher.
How investors get their money back, and when
No promise of a billion-dollar sale. This is what usually happens to companies like Stapilo, and what it would mean for an investor.
| What happens | When | What the $60,000 example investor could get | |
|---|---|---|---|
| 1 | The company is sold at 3–5× yearly revenue | Year 4–6 | ~$155k–385k (2.6–6.4×) |
| 2 | Stapilo stays independent and pays dividends from profit, or buys shares back | From year 3–4 | ~$8k a year, keeping the shares |
| 3 | Part of the shares are sold to the next round's investors | Month 15–18 | ~$70k for half the shares (more than the money back), keeping the other half |
Assumptions: the realistic plan ($4.0M of yearly revenue at month 36; $6M in the high sale case), a sale at 3× (ordinary) to 5× (good), the next round taking about 20%, and for dividends a 25% profit margin with half paid out (the last two are estimates, not plan figures). The stake: 0.38% after step 1 → 1.14% after step 2 → 1.61% after step 3 → about 1.29% after the next round (dividends assume no next round: 1.61%). Taxes on paid-out profit to be confirmed with an accountant. Full arithmetic and the list of deals with sources: research/exits.md.
Part 5
The team
Part 6
The main risks, and how they're handled
| Risk | How it's handled |
|---|---|
| Sales come slower than planned | The money comes in three steps, each released only when its goal is met. A cost-cut plan is written in advance (fewer masterminds, slower hiring, ads held). |
| Revenue today is small | What the first customers' results do prove: the founder built and ran the funnels (webinars, ads, follow-up) through which three of them sold over $430k of their programs, and those are the same methods Stapilo will use to win its own customers. What they don't prove yet is that coaches will buy Stapilo itself that way; that is what step 1 tests. Six businesses pay about $2,200 a month, by transfer to the founder until the company invoices them; one is the founder's own business. Three of the six have paid for more than 12 months, two for several months, one is new; none has ever left, and all six are in active daily use. These first customers were sold through the founder's relationships, on purpose, to test and develop the platform; no guru has tried Stapilo yet, and selling to strangers starts with this round. The price reflects that (step 1: $100k at $2.5M), and the month-3 goal (20 paying businesses from outside the founder's circle, about $6k a month from them) is the first test. |
| Guru partners don't sign | It's a milestone at month 10 (3 partners). Without partners, the plan slows toward the conservative case; mastermind spending can follow results. |
| Dependence on the founder | The founder's time goes to three things: recording content (two batch days a week), presenting masterclasses, and meeting gurus (about 30 rooms over 18 months, a third of them online). Everything around those is the team's: production films, edits and cuts shorts; the podcast manager books guests and produces; campaign owners run the funnels; the success team supports customers; the developers handle day-to-day engineering under the founder's product direction. The founder's 75% of shares vest over three years, so the incentive stays tied to the company. If the founder were out for three months: the product is built and runs on its own (tested, documented, with automated checks on every change), so the developers keep shipping; the marketing strategy, funnels and campaign playbooks are written down and run by the campaign owners; the success team keeps supporting customers; and two recording days a week build a reserve of content weeks ahead. What would slow down is new guru relationships and live masterclasses, which is why the plan aims to sign 3 partners by month 10. |
| Larger competitors add AI | They are moving (HighLevel's AI Employee and workflow agents, Kajabi's Expert Agents), each inside its existing product areas. Stapilo's lead, one agent across the whole business, is real but time-limited, so the plan spends on winning customers now: the newcomer experience, the success program and distribution. |
| No company yet, rights not yet in it | Step zero: the company is formed and the rights to the code and brand are transferred from the founder and every developer before any investment is accepted. |
| International payments | The dollar checkout is a month 1–3 milestone. Stapilo's own subscription is billed through a merchant-of-record service (Paddle, which handles sales tax and VAT and allows software subscriptions). Masterclass tickets, the mastermind and Stapilo's customers' own sales of coaching and courses go through Stripe and local processors, never Paddle, whose rules exclude coaching and human services. Local processors cover countries the big platforms can't serve. |
| The extras (success program, tickets) underperform | They are not in the base plan at all; they start only after a paid pilot. |
Valuation · Customer model · Price research · How Stapilo is built