Stop optimizing
against numbers
that aren't true.
Book a 30-minute strategy call. We show you the gap between platform ROAS and the revenue your ads actually caused, on your channels and your numbers, not a canned demo.
- Walk into your next budget meeting able to defend every dollar to your CFO.
- See where spend is wasted and where you still have room to grow.
- Leave with a plan, not just another dashboard.
Trusted by growth teams who left enterprise measurement vendors
Your dashboards say you're winning. The P&L says otherwise.
Ad spend goes up and to the right. Contribution margin goes down and to the right. Same period. When finance asks you to walk them through it, platform ROAS has no answer, because attributed revenue and caused revenue were never the same thing.
And the one test you did run is already stale. A 72% lift in January is closer to 35% by April once creative fatigues and CPMs climb. You end up optimizing against a number that quietly stopped being true.
We show the numbers that prove it.
Anyone can show you a confident-looking ROAS. Stella shows the out-of-sample metrics that prove a model actually predicts, on every model, so the result holds up when your CFO pushes back. Verifiable beats unverifiable. That is the whole pitch.
Whatever you're using now, here's what changes.
Platform ROAS only
Every platform takes credit for the same sale. You are counting conversions that would have happened anyway.
Causal incrementality separates caused revenue from coincidence, so budget follows real lift.
A black-box vendor
In-sample fit you cannot verify, and a model you cannot see inside.
Out-of-sample R², MAPE, and VIF on every model. Proof your CFO can check.
Holdouts in-house
Directional reads, hand-built tests, and results that decay between studies.
Decision-grade design, an ensemble of models, and continuous recalibration so the number stays true.
We build your causal optimization loop, and run it.
Holdouts, always-on incrementality, and calibrated media mix modeling run together and recalibrate continuously, so the number you act on is true today, not last quarter. A PhD data scientist designs it for your business and validates it until it is decision-grade.
Done for you from $10,000/mo, scoped to what you need and month to month, or run the same platform yourself from $6,000 down to a free tier. Same rigor either way, no lock-in.
Hear it from the brands we run measurement for.
Median 2.31x iROAS across anonymized Stella studies.
What happens on the call.
No pitch deck. A working session on your measurement, in 30 minutes.
We diagnose the gap
Walk us through your last budget meeting. We pinpoint where platform ROAS and real, caused revenue diverge for you.
We look at your channels
Bring your numbers. We show what rigorous incrementality would reveal across your spend, on your data, not sample data.
You leave with a plan
A clear next step: a holdout to run, a budget to reallocate, or a managed engagement. Whatever fits where you are.
Questions before you book.
Do holdout experiments take too long to be useful?
A gold-standard geo holdout runs 20 to 28 days. You do not wait idle: Always-On Incrementality starts producing daily iROAS from day one without a holdout setup, so you get a usable read immediately while the holdout incubates the rigorous number.
We already have an enterprise measurement vendor. Why talk to you?
It comes down to two questions. First, can they prove it? Ask for out-of-sample R² and MAPE, and for an MMM, the forward-test and back-test accuracy on your own data. A confident in-sample fit means nothing if it falls apart on unseen data. Second, and this is the one that counts: are you getting outcomes from the measurement, not just a report? Good measurement should let you do one of three things. Grow spend and revenue together by leaning into what is incremental. Hold spend flat and grow revenue by cutting waste. Or pull spend back and hold revenue by trimming what was never incremental. If your current setup is already driving one of those, you do not need us. If it just tells you whether a channel is incremental and stops there, that is exactly the gap we close.
We run holdouts in-house already. What do we gain?
In-house tests usually give directional results. Decision-grade results need test and control selection, confounder control, and an ensemble of models, designed for your business (geo density, pricing, seasonality), plus continuous calibration so the number stays true. That is what we bring to the call.
How is the managed engagement priced, and is it worth $10,000 a month?
Every engagement is scoped to what you actually need, which is why managed starts at $10,000 a month rather than a fixed price. If your data is clean and your team already knows holdouts, there is less work on our side and the scope comes down. If you want it fully done for you, it is more. Either way it is about half a typical enterprise quote, and you get a PhD data scientist doing real work, not just a license. The same platform also self-serves from $6,000 down to a free tier if you would rather run it yourself.
What if our data is messy?
Messy data is normal, and it is not a blocker. If it is light, connect your platforms with guided setup or upload CSVs and Stella flags what needs fixing. If it is genuinely rough, our team can go in and organize it for you, scoped as its own part of the engagement. The goal is predictable incremental growth, so if data is the hurdle, we clear it. Cleaner data just means less work on our side and a lower scope.
Do we need a data scientist on our team to use Stella?
No. Stella guides you step by step and you can ask it questions in plain language. And if you would rather not touch it, the managed engagement does the holdouts, design, analysis, and board-ready reporting for you.
Are we locked into a contract?
No. Managed is month to month. Many brands start on managed while we build the loop, then drop down to the $6,000 self-serve tier (or lower) once they are comfortable running it themselves. You can move whenever you want. We make money by keeping clients and growing their revenue, so our incentive is your results, not a lock-in.
Ready to see your real numbers?
Book a 30-minute strategy call. Bring your channels and your spend. We will show you what is actually causing growth.