The brief
The company sells proposal software with built-in AI credits to small agencies. The company wanted a growth plan and a revenue forecast for a product that was still finding its first paying customers. I was asked which channels to run, what it would cost, and what revenue to expect. I modelled four scenarios over 36 months using the live pricing page (checked 26 August 2026), the company’s real signup data, and 14 published 2026 benchmark datasets.
What I found
The funnel at the time of writing:
| Stage | Per month | Rate | Benchmark |
|---|---|---|---|
| Website visits | ~1,500 | n/a | Small pool, low-intent pages |
| Visitor to signup | 60 | 4.0% | Healthy; median 4-6% (OpenView) |
| Signup to activated | 3 | 4.8% | Bottleneck; median 37% (Userpilot, 62 B2B companies) |
| Free to paid (implied) | ~0.6 | 1.0% | Below-decile; freemium median 3-5% (ChartMogul) |
Paying customers were in single figures, and most past signups had gone dormant. At those rates the business adds about 0.6 customers a month, so the lift has to come from activation and paid conversion. Visits and signups are already at reasonable rates.
Two benchmark findings shaped the plan
The recommendation
The usual growth question is which channel to run. At this scale I found the sharper question is which customer, at which price, on which billing term. That gives three levers:
At 16 new customers a month, the same acquisition produces a customer ceiling of 139 and $4,300 MRR on founding-price monthly Starter and Pro plans. On standard-price annual Business plans with good onboarding, it produces 546 customers and $69,300 MRR. That is 16 times the revenue from identical sales effort.
Why paid search is out
The plan caps acquisition cost by customer value. Business standard supports a maximum CAC of $190-$447. Paid search at $15 a click and today’s conversion works out to $37,500 per customer, so it fails at every price point, whatever the bidding. Lifetime deals and subreddit promotion are also out: lifetime deals cap ARPU permanently, and the plan notes promotion is banned across r/agency, r/marketing and r/DigitalMarketing.
Channels, in priority order
Ranked by evidence that the channel delivered a first 100 customers in this category:
The numbers
Unit economics
Lifetime value uses gross profit at a 50% margin and ChartMogul’s AI-native retention by price band.
| Tier and billing | Price | Annual retention | Avg. life | LTV | Max CAC (3-6 month payback) |
|---|---|---|---|---|---|
| Starter, founding, monthly | $19 | 23% | 8.7 mo | $82 | $28-57 |
| Starter, standard, monthly | $29 | 23% | 8.7 mo | $126 | $44-87 |
| Professional, standard, monthly | $59 | 45% | 15.5 mo | $458 | $88-177 |
| Business, founding, monthly | $89 | 45% | 15.5 mo | $691 | $134-267 |
| Business, standard, monthly | $149 | 55% | 20.6 mo | $1,533 | $224-447 |
| Business, standard, annual | $127 | 65% | 28.4 mo | $1,801 | $190-381 |
A Business standard customer on annual billing is worth about 22 times a founding-price Starter customer ($1,801 against $82).
Budget
Marketing and tools only. Engineering time is excluded, and a growth-hire cost line is modelled separately so it can be adjusted.
| Phase | Months | What it buys | Per month | Phase total |
|---|---|---|---|---|
| Foundation | 1-3 | Outbound stack, Clutch list, two agency-community memberships | $800 | $2,400 |
| Ramp | 4-12 | Review incentives, two freelance comparison pieces a month, retargeting cap | $1,500 | $13,500 |
| Scale | 13-36 | Affiliate payouts, four content pieces a month, community sponsorship | $2,500 | $60,000 |
Total marketing and tools over 36 months: $75,900.
Four scenarios
The scenarios share the same product, team and acquisition effort. They differ on ARPU, retention and gross margin.
| Scenario | Blended ARPU | Annual retention | Gross margin | MRR at M12 | ARR at M24 | ARR at M36 | Monthly breakeven |
|---|---|---|---|---|---|---|---|
| Bad | $28 | 25% | 42% | $682 | $19,600 | $23,400 | Never |
| Low | $52 | 38% | 48% | $2,468 | $68,700 | $86,000 | Never |
| Medium | $95 | 55% | 52% | $6,265 | $201,900 | $279,900 | Month 16 |
| High | $127 | 68% | 58% | $12,576 | $422,000 | $626,200 | Month 9 |
Monthly profit and loss at month 24, after marketing, tools and the growth-hire cost line:
| Scenario | Revenue | Gross profit | Net per month |
|---|---|---|---|
| Bad | $1,631 | $685 | -$4,315 |
| Low | $5,723 | $2,747 | -$2,253 |
| Medium | $16,827 | $8,750 | +$3,750 |
| High | $35,163 | $20,395 | +$15,395 |
Cumulative cash, months 1-36:
| Scenario | Deepest cash position | Bottoms out | Cumulative payback | Cash at M36 |
|---|---|---|---|---|
| Bad | -$148,900 | Still falling | None | -$148,900 |
| Low | -$96,400 | Still falling | None | -$96,400 |
| Medium | -$32,100 | Month 15 | Month 30 | +$55,000 |
| High | -$15,600 | Month 8 | Month 16 | +$356,000 |
I recommended planning against Medium: about $32,100 of peak funding spread over 15 months, monthly breakeven at month 16, and cumulative cash-positive by month 30. High is worth working toward, but I would not ask anyone to fund against it. The gap between Medium and High is whether new customers land on standard pricing ($149 Business) or founding pricing ($89), which is a positioning question.
For context, per ChartMogul’s study of 6,525 software companies, only 3.3% reach $1M ARR within a year and 13.4% within three. Bootstrapped companies grow at a median of 15% a year. The Medium plan sits inside that range for a self-funded product.
What would change my mind
Every retention and margin figure comes from benchmark populations larger than the company. The plan builds in checkpoints that replace those assumptions with the company’s own data:
| Month | Check | What it triggers |
|---|---|---|
| 3 | Blended ARPU and reply rate | ARPU above $60: continue. ARPU below $45: pause and re-scope the target customer |
| 6 | Retention of the first cohort | Confirms or refutes the 45% Business-tier retention assumption |
| 7 | Affiliate launch | Only after six months of retention data exist to set commission |
| 9 | First SEO pages ranking | Keep what ranked, rebuild what did not |
| 16 | Medium breakeven target | Move spend from acquisition to expansion |
Other measures with targets: revenue divided by inference cost above 4x (readable in month 1), trial-to-paid above 20% for card-required trials (month 3), and signup-to-activated above 25% (month 2). Retention by tier is the assumption I would most want to test, because the ChartMogul sample sizes for sub-segments are not disclosed.
The first 90 days are planned week by week. Weeks 1-2 buy the list, register secondary sending domains and start email warmup. Weeks 5-8 scale outbound and put Business in front in demos. Weeks 9-13 test a card-required trial next to Free Forever. The goal for the first 90 days is 15-20 customers spread across tiers and billing terms, measured well enough that by month six the assumptions become facts.
What this shows
I start from unit economics and let the customer-value ceiling decide which channels are allowed, so a channel like paid search gets ruled out by arithmetic. I model a range of outcomes, say which one I would fund against, and name the assumptions that could break it. Everything here is a plan and a forecast; none of it was implemented.