Revenue broken down by channel, by room type and by period, next to the booking patterns that produced it — lead time, length of stay, day of week.
Alongside sits the uncomfortable half: the debtor list and what cancellations actually cost, in money rather than in count.
Booking Patterns
Lead time, length of stay, day of week
How far ahead people book, how long they stay and which days fill first — the shape of demand rather than its total.
Guest Analysis
Who comes back, and where from
Guests by origin, by repeat rate and by value, so a marketing decision has something behind it.
Debtor List
What is still owed, by whom
Open balances per booking and per guest, so an unpaid stay is visible rather than discovered at month end.
Cancellations in Money
Not how many — how much
Cancellations expressed in revenue rather than in count, which is the number that decides whether a policy needs changing.
Export
Out of the system, into the spreadsheet
Reports export for the accountant or for a spreadsheet, in the period and breakdown you chose on screen.
