Destination intent and booking probability, in real time.
Luxury hotels, tour operators, cruise lines, and destination marketing organizations use predictive intelligence to identify in-market high-value travelers within a 28-day booking window — and to redirect media accordingly.
What makes Luxury different.
Destination intent
Search, content, and behavioral signals correlated with destination-specific consideration.
Booking probability
Probability score for booking within a defined window, calibrated against historical conversion.
Seasonal cohort modeling
Travel intent has strong seasonality. Models adjust for weather, school calendars, and macro-economic signals.
Decay, velocity, and cost — measured.
Per-vertical curves derived from the platform's calibrated model output. Industry averages overlaid for reference.
Hours since first intent signal
Days from first contact
Traditional vs. predictive within the vertical
Inside a deployment
Luxury travel brand books 2,400 incremental high-value stays via destination intent
Destination intent signals combined with booking probability modeling shifted media toward in-market guests within a 28-day window, producing a 62% increase in upmarket bookings.
Supporting research & guides
luxury hotel marketing intelligence
cruise line predictive targeting
destination intent data
hnw traveler acquisition
Common questions
Can you target by destination and seasonality?+
Yes. Destination-specific intent + seasonal cohort modeling is core to the travel product.
Predictive intelligence · enterprise onboarding
Move from list-buying to probability-buying.
Engage your account team for a calibrated intelligence estimate, methodology walkthrough, and a sandbox environment scored against your own audience.