Nodal Hospitality

Travel Trace

Understand booking patterns by market and property. Use this report to help budget allocations to fill rooms in the short and long term.

Media → Booking = time between first website visit and a booking

Booking → Stay = time lag between booking date and stay date

Total Lag = sum of both

Avg Media → Booking

22.7 days

Avg Booking → Stay

68.3 days

Avg Total Lag

90.9 days

Avg Revenue

HK$3,667

Time Lag by Source Market

Average days (Media → Booking vs Booking → Stay)

0 d25 d50 d75 d100 dChinaTaiwanSouthKoreaPhilippinesUnitedKingdomAustraliaUnitedStatesJapanSingapore
  • Media → Booking
  • Booking → Stay
Time Lag by Hotel

Average days per property

0 d25 d50 d75 d100 dProperty FProperty EMarina BaySuitesProperty CProperty DGrandPacific
  • Media → Booking
  • Booking → Stay
Booking → Stay Lead Time Distribution

How far in advance guests book

0–7 days8–14 days15–30 days31–60 days61–90 days90+ days036912
Time Lag by Traffic Source

Avg total lag and bookings per channel

google_adsmeta_adsorganic_search0 d25 d50 d75 d100 d02468
  • Avg Total Lag (days)
  • Bookings
Detailed Breakdown by Source Market
Source MarketBookingsAvg Media → BookAvg Book → StayAvg Total Lag
China119 d73 d92 d
Taiwan120 d72 d92 d
South Korea121 d71 d92 d
Philippines121 d71 d92 d
United Kingdom224 d67.5 d91.5 d
Australia224 d67 d91 d
United States224.5 d65.5 d90 d
Japan123 d66 d89 d
Singapore123 d66 d89 d