Nederlands 
English Why Datafy was developed
Advertisers have more and more marketing data at their disposal, but that information often comes from parties that have an interest in the channel being used. That makes it difficult to get one coherent and independent view of your full media spend. Datafy was developed to address that problem.
Mathematical models for everyday marketing practice
Datafy combines customer journey analysis with econometric modelling to give a better assessment of the expected contribution of marketing. The aim is to give marketing teams and leadership a tool they can use regularly, instead of adding one more report to what is already there.
Three principles we do not deviate from
Transparency
No black box. Every recommendation can be traced back to the underlying assumptions and figures. You can verify it yourself.
How do we check our forecasts?
To assess reliability, it has to be clear which data and assumptions were used. We also compare the forecasts with the realised results. That principle is central to the way Datafy presents its analyses.
One interest
Our price is not tied to your media budget. If the model advises spending more, we earn nothing extra from that. The recommendation serves only your return.
Years live at brands with budgets in the millions
Our models run in production at organisations that treat media as an investment, from energy to financial services and e-commerce.
Where to find us
Drop by, call or email. We are happy to think along about your model landscape.
Getting to know Datafy
Do you want to understand what your media budget actually delivers, or check whether Datafy fits your situation? We are happy to show you how the platform works and what is needed to answer your questions.