Nederlands 
English Insight into the combined contribution of all your media channels
As a CMO you work with a wide range of channels, agencies and reports. That produces plenty of numbers, but it does not automatically give you a reliable picture of what marketing contributes in total. Datafy analyses online and offline media together, so you can better judge which channels contribute and where changes to the budget allocation are most promising.
What it delivers
Assess attribution without adding up platform claims
A conversion showing up in Google Ads does not mean Google caused all of it. The same applies to Meta, retargeting and offline media. With Datafy you look at the contribution of channels in relation to each other, instead of accepting each vendor's own version of the truth.
Look ahead before you shift budget
Sensitivity analysis shows how sales respond in the model to a small change in one channel. Scenario analysis lets you compare larger or combined budget decisions. That gives you a better basis for next quarter's media mix.
Account for effects that last longer
TV and radio can have an effect that does not stop on the day of broadcast. Datafy aims to include that delayed contribution as well, so short-term conversions do not automatically carry more weight than activities that only take effect later.
What clients say about Datafy
For CheapTickets.nl we have been using Datafy for several years. Thanks to Datafy we have far-reaching insights into the performance of the media mix. Results include a substantiated 20% reduction in performance costs while maintaining results.
Datafy has ensured we can optimise and evaluate our budgets across all channels. Since we strictly follow Datafy's recommendations, we see a 33% decrease in CPS.
At Essent we have been using Datafy with great satisfaction for years. The Media mix tool ensures we have the best overall budget deployment across all these channels.
Check expectations against reality
Even a good model can be wrong. That is why forecasts are compared with actual results afterwards. That feedback lets you base your confidence in the recommendations on how the model has actually performed, which a convincing dashboard alone cannot show you.