Nederlands 
English Season, booking windows and
saturation: calculated through.
In travel and e-commerce, demand moves with the season, the booking moment sits far ahead of the trip and performance channels saturate faster than your dashboard shows. Datafy models that dynamic explicitly and calculates, per channel, where the next euro still returns.
Grow without choking your performance
Season and booking window as fixed model input
January peak, summer holidays, last-minute waves: the model knows the seasonal curve of your market and corrects for it automatically. That way media effect is not confused with the season that was coming anyway, the classic pitfall in every travel report.
See per channel where extra budget stops returning
Response curves show the saturation point per channel: where every extra euro still delivers bookings and where you only drive up the auction. The evidence to redistribute performance budget before the return turns.
Scale from performance-only to cross-media
When search and social are full, the question is: what opens new growth, TV, radio, online video? Datafy calculates cross-media shifts with expected revenue impact, so scaling up is a calculation instead of a guess.
Want to see what CheapTickets did with it?
Book a 30-minute demo. We walk through the CheapTickets case and calculate a saturation analysis on your own channels.