Multi-market
Marketing math doesn't stop at a border. Plug in your data, from one country or fifty, and get answers your CFO will accept.
30 minutes. Live in your dashboard. No deck.
The problem
Where does the next €10K go?
Local teams optimize inside their own silo. Headquarters sees the totals. Nobody can show, with numbers instead of opinions, where a euro returns the most across markets.
So the answer becomes whoever shouts loudest in the meeting.
How we solve it
Bayesian decomposition. Per market, per channel, per week. Local signals. holidays, weather, search demand, seasonality. go in as regressors. Output is a single number for every channel, in every market, with confidence intervals.
Not five dashboards stitched together. One model.
> Reallocate €18,000 from BE-Wallonia Display to NL-Rotterdam Search. Detected diminishing returns at current spend. Calculated optimum within total budget.A real recommendation from a real run. No local team has to give something up for another to gain, the model already did the math.
Some brands run channels through one central specialist. Others run through local agencies in every country. Most are somewhere in between. central team, local partners, freelancers, all mixed.
The engine doesn't care. Each recommendation routes to whoever owns that channel in your setup. central team, local agency, freelancer, or the CMO directly. One inbox at the top, mapped to how your org actually runs.
Decentralized execution. Centralized decision-making.
Built for the question
You're comparing us to Nielsen, Marketing Evolution, Analytic Edge. Those tools work. But:
| Enterprise MMM vendors | Stevin | |
|---|---|---|
| Implementation | 3-6 months consulting engagement | 2-4 weeks, your team in the dashboard |
| Output | Quarterly slide deck | Weekly model run, live recommendations |
| Lock-in | 12-24 month contracts | No annual lock-in |
| Math | Black box, vendor explains | Transparent. your team can defend it to a CFO |
| Cost | Six figures up | Built for mid-market and up |
We're not cheaper because we're worse. We're cheaper because we engineered the consultants out, not in.
What you get
Connects to your stack
From paid platforms to data warehouses. Native integrations across the marketing stack, plus open API for the rest.
Paid platforms
Analytics
CRM & MA
Commerce
Data
BI
Pilot
Week 1-2
We model one market. Your data, your channels. Output: contribution analysis, saturation curves, first recommendations.
Week 3-4
Second market plugged in. Cross-market reallocation becomes possible.
Month 2
Third market and up. Specialist routing live.
Month 3
Decide. Continue or part ways. A checkpoint every quarter from here, no automatic renewal.
No annual commitment. No data hostage. Quarterly checkpoints, never on autopilot.
How we earn trust
We're early in our journey. There's no logo strip yet. There's something better: a working dashboard, refreshed every week, with the math in the open.
Bayesian decomposition rebuilt every week. You watch the numbers settle as more weeks of data come in. No quarterly slide deck from a black box.
Each contribution and recommendation comes with a credible interval. If the model is uncertain, you see it. No false precision dressed up as authority.
We model one of your markets as a pilot. If the output doesn't reconcile to what you already know is true, we resolve that before the pilot ends. no contract, no invoice.
When the numbers don't add up
Billing errors. Serving outages. Reporting lags. At enterprise scale, those are six-figure mistakes. and most brands never claim them, because no one is watching the numbers at the level where the numbers get made.
Stevin keeps spend, delivery and reported results side by side across every platform you run. When the numbers don't line up, we build the file: timestamps, evidence, what the platform itself admits. You have the proof in hand the same week it shows up, ready to raise with the platform.
For a brand spending five million euros or more a year across paid channels, a single major incident can quietly run into six figures of miscounted budget. Some brands catch it and raise it. Most never look. The difference is whether anything is watching the numbers, every minute, in every market.
This isn't a separate product. It comes from the same numbers the model is already tracking.
Why this exists
In 1585 a Flemish mathematician named Simon Stevin wrote De Thiende, the small book that gave Europe the decimal system. His point was simple: numbers should work the same way everywhere, for everyone. No special privileges for who you are, where you live, or which guild you belong to.
That's how we think about marketing analytics.
A campaign in Breda runs on the same math as a campaign in Atlanta. A week is a week. A conversion is a conversion. The model doesn't care about the flag on the data.
We named the company after him for a reason.
30 minutes. Your data. Your channels. Live in the dashboard.
No slide deck. No procurement form. No mystery.
Book a demoIf we can't show you something useful in the first session, you don't owe us a follow-up.
FAQ
First market live in two weeks. Each additional market is two weeks. We've done five-market onboardings inside a quarter.
They don't lose autonomy. They lose the obligation to argue for budget without numbers. Reallocations are math, not management decisions.
In the cloud region you choose. EU, US, AU. We deploy in your AWS region or yours. GDPR-native architecture; SOC 2 path for US enterprise on request.
We can run alongside it for a quarter. If our numbers don't reconcile to within rounding, that's our problem, not yours.
A dashboard shows what happened. An MMM tells you what to do next, with a confidence range attached. We do both, but the second one is the point.
Both, neither pretending to be the other. The platform does the math. People at Stevin pick up the recommendations and own the outcome with you.