Nederlands 
English No black box.
A model that proves itself every week.
You judge every vendor on methodology, data requirements and validation, and rightly so. Datafy is built to pass that test: a documented method, weekly validation of the forecast against the actuals, and results that are exportable and live alongside your own stack.
Built to pass your due diligence
Two engines, marginally framed, estimated on your data
No benchmark priors that predetermine the outcome, but a model estimated on your own history that answers the question that matters commercially: what does the next euro per channel deliver? The full setup, Marginal Journey Simulation, is on the method page, including what the model deliberately does not claim.
Not validated once, but every week anew
Every week the forecast is laid alongside the realised figures, visible to you, not only to us. Structural deviation is therefore not an anecdote but a measurable signal: you see when the model starts to drift and whether a retrain fixes it. That is the validation a one-off backtest never gives.
Alongside your existing stack, not instead of it
The input is data you already have: media investment, costs and KPIs, delivered through existing exports or feeds. The output, forecasts, effects per channel, recommendations, is exportable to your own BI environment. Datafy does not replace your data team; it gives your team a validated media model without having to build and maintain one yourselves.
Want to test the methodology yourself?
Book a technical session. We walk through the model setup, the data requirements and the weekly validation, with your own questions as the agenda.