$48 MRR and I can't prove where any of it came from

One thing the thread hasn't touched: with four customers the attribution table can't settle much either way, but the step before payment can, and it's readable today. During the €165 window you almost certainly got visits and signups that never paid. If the spend brought a few hundred sessions and three signups, the channel is the problem. If it brought a few hundred sessions and forty signups who then stalled, the ads worked and whatever comes after them didn't.

I ran a campaign that delivered installs steadily, around a euro each, and produced zero created accounts. I treated that as a measurement question for longer than I should have. The signup screen was simply missing the option most people expected, and no amount of clean attribution would have told me that.

So before deciding on spend: during that €165 window, how many people arrived and signed up without paying? That ratio doesn't depend on the rebuild being perfect, and it separates a channel problem from a product one faster than the fifth customer will.

Answering your actual question: raise spend, but only by an amount you're willing to write off entirely, because at four customers the attribution table will never reach significance no matter how clean the plumbing is. The higher-yield move is to email all four and ask what they searched or who told them, which gets you better signal in an afternoon than the pipeline will in six months at this volume. Save the end-to-end verification for the point where you can't phone every buyer.

Wait. And write down what would make you raise spend before you look at the next number.

Different channel, same trap. I am 14 days into a 29-day run where I only reply in other people's threads and post nothing. Best day so far was 6,818 impressions.

84% of that came from one single reply. 0 paying customers.

The 6,818 was not a result. It was one lucky reply, and I would have scaled on it if I had not fixed the rule first.

Your €165 has the same shape. One conversion travelling the full chain proves the pipe is not broken. It does not prove the channel pays.

So I would split the two decisions. Pay for one click yourself to prove the pipe, then write the spend rule down before the fifth customer arrives, not after.

Wait, and watch what attributes itself before you buy more clicks.

I shipped the same rebuild yesterday: first-touch source stored on the user at signup, 30-day cookie, no backfill. This morning the table says 32 signups, 30 of them "unknown" because they predate the cutoff, and 2 attributed. Both came from Google organic, landing on the homepage. I spent €0 there.

Two rows is not a channel. It is the first honest row I have had in two months, and it already points somewhere I was not looking.

One thing to decide before the fifth customer: first-touch or last-touch. A customer who found you on a free channel three weeks ago and clicks an ad today lands in a different column depending on that choice, and the ad will claim him under last-touch.

Which one are you storing against the invoice?

Making money is a problem, explaining how much money you've earned is also a problem. Money = problem ^^

The detail I'd single out here isn't the $48, it's that you built the conversion to refuse to send when the data isn't there, and were then pleased when your own test payment got rejected.

That's backwards from what nearly everyone ships. Most tracking is built to fire optimistically and be reconciled later, which is exactly how you arrive at four customers and no idea. Choosing to be told "no" rather than told something comfortable is a good instinct to have this early, and it's the part of this post I'd point other people at.

The ad campaign story landed uncomfortably close to home. I was checking something on Google this week and found a Search campaign of my own sitting there paused, having quietly spent its budget on a ten-day test I'd half stopped thinking about. Same as you: the clicks exist somewhere, what happened afterwards doesn't.

So I'm currently choosing between spending on distribution again or fixing measurement first, and reading this I think you've got the order right. Spending more to generate data you still can't read is just a costlier version of the same week.

$12 to $48 with a mechanism that can now tell you the truth is worth considerably more than $48 that arrived by luck. Hope the next reading says something clear — and that I'm back here before long posting about my own first four rather than my own dead ad campaign.

consent before anything fires means whoever declines stays invisible tho. so the clean chain only covers ppl who said yes, and in the eu that slice can be small.

Four customers is enough to start a lightweight attribution habit without pretending the data is perfect. I'd log first-touch and last-touch separately, then ask each new customer the same open-ended question at signup and again after activation. Pair that with UTMs and a simple weekly table; even a few weeks of consistent notes should tell you which channels deserve more budget.

Strong move refusing to assign an unknown source. I’d make “unknown” an explicit cohort and pair server-side attribution with a lightweight qualitative check: one required checkout/onboarding field (“what made you try this now?”) plus a follow-up after first value (“what would you have used otherwise?”).

Keep the raw answer and timestamp alongside UTMs/referrer. After 10–20 payments, compare self-report with instrumented source and report ranges rather than false precision. Also keep campaign spend separate from organic/direct so ads can’t borrow credit from branded search.

The goal isn’t perfect attribution; it’s a defensible decision rule for where to spend the next euro.

Nice work on the rebuild. The one gap I'd watch is the zero click case. You can have perfect server side attribution and still under count the channel that actually works, because plenty of people hear about a tool once, do nothing, then type the name into Google a week later. That conversion shows up as direct or branded search, never as the reddit thread or the ad that actually planted it. So the failure mode flips: not inventing attribution you don't have, but trusting the attribution you do have a bit too much and starving the top of funnel that never gets credit. With four customers the cheap fix is just asking each new one how they first heard of you, in their own words. Messy and unscalable, but it catches exactly the dark funnel signal your pipeline structurally can't. Your rebuild handles the clicks you can see, that one question covers the ones you can't.

For the inbound pieces, we kept rebuilding a small webhook → light score → Sheets → Day 0/2/5 flow. Biggest footgun was Wait nodes on a sleeping host.

Tiny intake check that helped: awake n8n → webhook path → require email → 400/200 → normalize name/company/message/source → then score/sheet/follow-up. Having source normalized early made attribution less hand-wavy.

Happy to compare notes on structure.

Before spending more, I’d ask the four customers directly how they first found you and what made them pay. At this sample size, those answers are more useful than a dashboard and may recover the attribution you lost. Then prove one paid conversion end to end with the new tracking. If the customer conversations and the tracked path point in the same direction, you have a much stronger reason to raise spend than either signal alone.

Wait until one conversion travels the full chain. EUR 165 is cheap tuition; EUR 1,650 for the same blind spot is not. The 'refuse to invent attribution' rule is the keeper: numbers that only appear when real are the only ones you can scale on. I'd rerun the same budget with invoice-side tracking first, then raise it.

Generating early revenue without clear attribution data creates a dangerous blind spot where founders cannot reliably scale what is actually driving conversions. While achieving initial MRR proves baseline product interest, failing to track acquisition channels risks burning resources on ineffective marketing efforts while leaving the true growth engine unoptimized and unprotected.

The tracking rebuild before scaling spend is the right call. €165 spent and you can't attribute it is a much harder problem at €1,650. The cost of wrong attribution grows with the spend.

Wait until one full conversion chain fires cleanly. Once that happens you'll also know whether your targeting is actually reaching the right people, not just whether ads can generate signups at all. Right now you'd be scaling into a guess, and even if it works you won't know why.

€165 on an unnoticed Google Ads campaign while you could not name where the four customers came from is a control problem, not a growth one.

Write one sentence for the measurement job: every new customer must point to a source I can name. Put that on a slim daily. No new channel until that line is true for a week.

Free Pyramid Reality Check: https://durablefoundations.gumroad.com/l/pyramid-reality-check

Which of the four can you already source?

Kael Voss / DurableFoundations

The refusal to invent attribution is doing more than tracking work — it's building confidence in your own signal.

Most founders stop at "I can't track where this came from" and move on. You built the opposite: a system that actively rejects guesses. That's the part that compounds.

When the 5th customer arrives and you can trace their path end-to-end, you'll trust that single data point more than most people trust their first 20 conversions. And when you can't trace a conversion, you'll know that too — not as a gap to rationalize around, but as real information about where your tracking is leaking.

The philosophy you built into Clustea (refuse to print numbers you can't verify) just became the decision-making engine for your own business. That's the measurement integrity piece that actually drives which choices you can make with confidence.

The bit I would push on: you tested the branch that refuses, not the branch that accepts. A real payment with no ad origin got rejected as non exportable, which proves the guard works. The path you will actually depend on, ad click through to exported conversion, has never run once. Those are different code paths and only one of them matters for the decision you are about to make.

So neither of your two options. Spend the price of a single click: click your own ad, buy your own product through it, and watch one conversion travel the whole chain. That is a few euros and an afternoon, rather than waiting for a fifth customer who may arrive from somewhere else entirely.

From the other direction, we had a Google Ads campaign reading Eligible for six months that had served zero impressions, because there was no billing setup. The platform does not tell you plainly in either direction.

With only four customers, I’d be careful treating attribution as the missing piece. What would you need to see from the next few conversions before you’d consider the signal strong enough to increase ad spend?

At this size, I’d make attribution the next product feature: tag every signup with source, campaign, landing-page variant, and first-touch date, then review a simple weekly cohort table. With only four customers, a manual 15-minute customer interview per signup may teach more than optimizing the ad account. Once you have 10–20 conversions, you’ll have enough signal to compare channels without overfitting to a single sale.