Predictive Marketing Analytics for travel & e-commerce

Which media influence
a travel booking?

A customer can spend weeks looking at destinations and comparing prices, then book later through a search ad. When every platform reports its own contribution, it is hard to judge which investments really deliver additional results.

Book a demo View the CheapTickets case
Tested afterwards Forecast versus actuals
Saturation Visible per channel
Cross-media Performance and brand in one model
Travel & E-commerce
What Datafy does for travel & e-commerce

Grow without choking your performance

Account for season and demand
01. Season

Account for season and demand

Bookings are influenced by holiday periods, prices, availability and other market factors. Where possible, Datafy combines these conditions with your media spend, so not every change in bookings is automatically seen as a campaign effect.

Compare budgets on expected contribution
02. Budget split

Compare budgets on expected contribution

You can calculate what a different split between, for example, TV, branded search and performance channels is expected to deliver. The results help you choose a media mix and are compared afterwards with the actual results.

For travel & e-commerce

Want to see what CheapTickets did with it?

In a demo we walk through the CheapTickets case and show which data is needed, how the model works and which questions you can answer with it.

See a demo