Reservations and booking pace

Use the timeline at the top: ← Past with 12 mo, 3 mo, 1 mo and 1 wk, then Today, then Future → with 1 wk, 1 mo, 3 mo and 12 mo. The page opens on the past 12 months. A past window ends yesterday; a future window starts today. On a phone the row scrolls sideways and centres the selected period.

With the same dates one year earlier, shifted 364 days so a Saturday is compared with a Saturday. For past windows you see what happened this year against last year. For future windows you see what is on the books today against what was on the books at this same point last year, plus how last year finally finished.

Pace compares what is booked today for future dates with what was booked for the same dates at this point last year. Being behind early is a warning you can still act on; waiting until the month arrives is too late. Hotelmente rebuilds last year’s position from each booking’s creation and cancellation dates, so it works from the first sync.

For a past window: occupancy, whether it is up or down on last year, the room-nights sold and the share of bookings cancelled. For a future window: how much is booked so far, whether you are ahead of or behind where you were at this point last year, how many stays are coming and how many days ahead they were booked on average.

The four figures below are Occupancy (Booked in a future window), Room-nights sold (Room-nights booked), Average rate and Cancellation rate, each with its change against last year. Money is not on this page: room revenue lives in Financial.

The Today view has its own card: arrivals, departures and occupancy tonight and tomorrow, new bookings and cancellations in the last 7 days.

• Occupancy: room-nights sold divided by your rooms × the days in the period.
• ADR (average rate): room revenue divided by room-nights sold.
• RevPAR: room revenue divided by your rooms × the days, which equals ADR × occupancy.

Room revenue is the nightly room rate of active reservations, before taxes and without extras.

• RevPAR against last year.
• Bookings (arrivals): stays arriving in the period, excluding cancellations.
• Books ahead: the average number of days between booking and arrival.
• Average stay: nights per stay.
• Last year finished at (future windows only): the final occupancy of the same dates last year, the target to beat.

In past windows, Booking curve shows the share of each night’s final bookings that were already made a given number of days before arrival, this year and last year. A curve that rises late means guests book at the last minute.

In future windows, How bookings have built up shows the room-nights on the books for these dates week by week, against the same points last year. If your line runs below last year’s, demand is arriving later or weaker.

The ten biggest channels for arrivals in the period, with bookings, their share against last year’s share, share of room revenue, average rate, cancellation rate, how far ahead they book and average stay. Channel names come from the source recorded on each reservation in Cloudbeds.

The booking window is how far ahead guests book: 0–7 days, 8–30 days, 1–3 months, 3–6 months or 6+ months. How far ahead each channel books shows the mix for all channels and for your top four. Use it to time promotions for each channel and to decide how long to hold your price.

Length of stay by channel shows the share of bookings of 1, 2, 3, 4–6 and 7+ nights for each channel. Booking window × length of stay crosses both in a heat map, so you can see whether early bookers stay longer. If many stays are single nights, a 2-night minimum on busy dates can raise revenue and cut turnover costs.

The cancellation rate is cancelled bookings divided by all bookings arriving in the period. Cancellations by booking window shows it for all channels and your top channels, by how far ahead the booking was made. Cells with fewer than 5 bookings are left blank so small numbers do not mislead you. If early bookings cancel far more often, consider a deposit or a non-refundable early rate.

Yes. Occupancy by day of week shows this year against last year for past windows, and on the books against the same time last year for future windows. When the weakest nights are far below the strongest, Hotelmente suggests a midweek package or lower rates on those nights.

The eight countries with the most bookings in the period, their share and last year’s share. It comes from the guest country on each Cloudbeds reservation. A growing market is a hint to time marketing and holiday offers for it. “??” means the country was not recorded; Guests → Where from → Find missing countries fills in many of them from the guest’s nationality or phone code.

Today is for operations: arrivals, departures and occupancy tonight and tomorrow, new bookings in the last 7 days against the same week last year, cancellations in the last 7 days with the room-nights lost, new bookings today, and the balance due in the next 7 days on stays where the hotel collects payment. Next 7 nights shows occupancy, arrivals and departures night by night.

A list of findings for the selected window, ranked like the Action Center: pricing against demand, OTA dependence, channels that cancel much more, booking window changes, single-night stays, weak weekdays, growing markets and pace against last year. Past windows focus on what to do differently next year; future windows on risks and opportunities ahead.

It sends the window’s totals to the AI, which writes Key patterns, Why it is happening (marked as likely explanations) and What to do, with 4 to 6 numbered actions. It takes about 30 seconds. Each window has its own analysis, kept for the rest of the day in your language. Tick recommendations as done or dismiss them with ✕.

Open Future → 3 mo and look at where the gap is: which months, which weekdays and which channels are behind. Then go to Pricing to see which dates are marked Promote and whether a minimum stay is blocking bookings, and to the Calendar for weak blocks. Under Weeks to push, Promote → on each weak stretch opens Social Media with a ready campaign for those dates.

Usually because of how they are counted:
- Hotelmente counts by stay date (each night of a stay falls on its own date), not by booking date or checkout date.
- Revenue is the room rate only, before taxes, without extras.
- Cancelled reservations are excluded from occupancy and revenue.
- Amounts may be converted to US dollars or euros.
- Comparisons use the same weekday 364 days earlier, not the same calendar date.
- Data is as of the last sync.

Reservations arrive with each sync. Click Sync now at the top of the page: on Reservations it brings in reservations that changed since the last sync, usually in seconds.