Flying blind
A low-cost airline struggles with ticket values that are too low. Nobody knows exactly which extras customers buy – or why. Pricing follows gut feeling.
The data foundation
Booking, basket and channel data are connected in one Power BI model. For the first time, basket dependencies become visible: those who book baggage also buy a seat.
The steering
Ancillary prices are dynamised, the offering differentiated by channel and route. The dashboard shows daily which lever works – and which does not.
The result
Higher ticket values through an understanding of basket dependencies and dynamic ancillary prices. Sales steers on facts instead of assumptions.


























