If Meta is optimising toward signups while your payback period stretches, you're scaling the wrong number.
Work withSaaS accounts usually look healthy at the top and disappointing at the bottom, for consistent reasons.
Trial volume is up and paid conversions are flat, because the algorithm has found people who enjoy signing up for things.
Cost per acquisition is judged against first month revenue, which makes every profitable channel look unaffordable.
The ads describe features to people who have not yet accepted they have the problem those features solve.
Nobody has told Meta which trials became paying customers, so it is optimising in the dark and doing so confidently.
Software economics reward patience and punish shallow optimisation. The work follows from that.
The signup is free to the user and therefore cheap to acquire. What predicts revenue is the moment someone does the thing your product is for: imports the data, invites a colleague, completes the setup. Sending that event back to Meta changes the quality of everyone who follows, provided you have enough volume for it to learn from.
If you allow yourself to spend only what a customer pays in month one, you will lose to competitors who understand their payback period. Establishing how long you can afford to wait is a finance conversation that unlocks a media decision, and it is usually where the ceiling on growth actually sits.
Most SaaS advertising opens with what the software does. The people who convert are the ones who first recognised themselves in the problem. Show the mess, the spreadsheet, the awkward workaround, then arrive as the answer. Feature comparisons belong further down, once someone is choosing between options rather than deciding whether to care.
Browser side tracking alone will not carry a SaaS funnel. Server side events, sensible values on those events, and a clear definition of which action counts as a conversion. Every scaling decision you make rests on this being correct, and it usually is not when I first look.
I've personally managed Meta Ads for hundreds of brands big and small














Events, campaign structure, creative and funnel, alongside an honest read on which of your reported numbers can be relied upon.
Server side events for activation and paid conversion, with values attached, so optimisation follows revenue rather than sign ups.
Problem led angles mapped to who actually adopts your product, tested deliberately rather than produced in batches.
Budget increases tied to cohort behaviour and payback period, so growth stays affordable rather than becoming a cash flow problem.
What founders say about working with John on Meta campaigns
Having one experienced person accountable for everything changed how fast we move. Questions get answered the same day, tests go live the same week, and I always know exactly what's being worked on and why it matters.
What I value most is the honesty. John tells me when an idea won't work and why, rather than nodding along and billing me for it. He's genuinely part of the business now, not a supplier I chase for updates.
Whichever produces enough volume for the algorithm to learn while still predicting revenue. Self serve products usually optimise toward activation inside the trial. Higher priced products with a sales motion behave more like lead generation, where the qualified opportunity is the event that matters.
It reaches them, it just does not label them by job title. Your creative does the qualifying instead. For smaller and mid market software this works well. For a handful of enterprise accounts with named targets, other channels usually make more sense and I will say so.
By agreeing the number in advance with whoever owns the finances, then holding to it. The most common failure is a marketing team scaling to a payback the business never actually signed off on, which ends with spend cut abruptly rather than adjusted sensibly.
Yes, and often that is the better arrangement. Plenty of teams need senior direction and an extra pair of hands on creative rather than someone taking the whole thing away from them.
Tell me what you're spending, what you're optimising toward and how long you can afford to wait for payback. I'll come back with an honest view on whether I can help.