Building was the easy part.
Getting customers is the hard part.
You'll pay for ads — you know that much. What you don't know yet is whether they're working, or what half the numbers even mean. vCMO is your marketing co-pilot: it watches every ad, tells you in plain English which ones are winning customers and which are burning money, and explains every term as it comes up. You don't have to become a marketer.
CAC — customer acquisition cost — is what you pay in ads to land one paying customer. If a customer is worth more to you over time than their CAC, your ads make money. That's the whole game. vCMO measures your real CAC honestly and teaches you the rest — LTV, spend, impressions, all of it — as you go.
This is real statistics —
not a number to eyeball.
Telling a genuinely winning ad from a lucky week is a hard statistics problem — the same family of math behind clinical trials and the A/B-testing platforms big companies pay thousands for: sequential testing, and Bayesian inference that knows signal from noise. A spreadsheet that divides spend by customers answers the easy question — what did this cost? — and stays silent on the one that actually decides your money: is this real yet, or am I about to bet on luck?
Three cheap signups in, the number looks amazing, so you 5× the budget — then it regresses to the mean and the month is gone.
A cell reads “$40.” It can't tell you the honest truth is somewhere between $22 and $90 — so you can't tell a real winner from noise.
Normal day-to-day swings make a good ad look broken for a few days, so you pull the plug on the thing that would have worked.
A spreadsheet never says “you don't have enough data yet.” Every decision ends up a gut call wearing a number's clothes.
the good news You don't have to learn any of this. Every trap above is a solved problem — vCMO runs the math and hands you a plain verdict.
The rigor you'd build yourself — if marketing were your job.
Concretely, here's what running that math buys you on every single ad.
A handful of clicks can look incredible by pure luck. vCMO won't hand you a verdict until there's enough signal to actually mean something — then it shows a realistic range, not one flattering number. (Under the hood: a Bayesian model that treats your CAC as a range of likely values, not a single guess.)
It says “put in more money” only when an ad is very likely beating your target cost, and “shut it off” only when it's clearly losing. When it's honestly too early to tell, it says exactly that — instead of pretending. (It acts at 90% confidence, not on a hunch.)
Too early to call? It doesn't just shrug. It tells you what a verdict will take — “hold ~$945 / 9 more days and you'll know.” The babysitting, handled.
Not sure what any of your numbers should be? It works them out with you.
Enter what you charge and point it at your landing page. From just that, it figures out what you can afford to pay for a customer, a sensible first budget, and where to advertise — and walks you through the why.
Pick the plan your ads will sell. vCMO reads your pricing and your landing page and tells you the most you can pay for a customer and still come out ahead — with the plain math beside it, so you pick up the reasoning too.
What to spend on your first test, how many customers you need before the result means anything, and the channels worth trying for your product. Not generic advice.
The most common reason ads quietly waste money: the promise in the ad isn't the promise on the page people land on. vCMO checks every ad against your landing page and flags the mismatch — marketers call it weak message match — and tells you how to fix it.
Two minutes a day.
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1
Set your prices. Get a starting plan.
Add what you charge, point it at your landing page, and get back a target cost-per-customer and a first budget to work from.
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2
Add one link and one webhook.
This is the part you'll find easy. Each ad gets a special /c/… tracking link, and your app pings vCMO when someone signs up or pays. Because it's measured from your own server, it doesn't get blocked by iOS or ad-blockers the way ad-network pixels do.
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3
Log what you spent. Read the verdict.
Each day, enter your spend. Every ad comes back with a plain verdict — scale, kill, or keep gathering — plus its realistic cost range and whether your ad and page still line up.
The AI explains and guides. The verdict always comes from the math.
Pricing for people spending their first ad dollars
Here's the honest landscape. The free analytics you've heard of — Google Analytics, Plausible — tell you how many people visited, not whether your ads make money. The serious tools that do (Triple Whale, Northbeam) run $129–$2,500/mo and are built for big online stores. vCMO is the honest-answer option for a solo founder in between — measurement plus a coach.
The honest numbers, forever.
- ✓ 1 project
- ✓ Tracking from your own server (no blocked pixels)
- ✓ Honest CAC engine + scale / kill / wait verdicts
- ✓ Funnel + daily to-do
- — No AI advisor / playbook
Your AI marketing copilot.
- ✓ Everything in Free, 1 project
- ✓ Web-researched getting-started playbook
- ✓ What-you-can-afford advisor (target CAC + margins)
- ✓ Per-ad spend guidance + ad-to-page match check
- ✓ Landing-page read
For builders running several apps.
- ✓ Everything in Solo
- ✓ Up to 5 projects
- ✓ Each fully isolated — own ads, tracking, numbers
- ✓ One bill across your whole portfolio
Annual billing saves ~2 months. The free tier's CAC math is pure code — no AI cost — so it stays free.