Knowledge Base

Tags report allows you to filter bookings by tags. It would be useful in the following cases:

• For example, you need to study discounts that managers give to specific guests no matter the booking’s rate plan. You need to tag these bookings to see the filters list later.

• You need to pull data on the bookings related to a specific event, for example, a business forum, competition, or a festival.

• Study bookings with kids. To do that, you need to tag all the bookings with kids and study the revenue from such bookings later.

Data in the report is updated once per 24 hours, at 5 am.

How to generate the report

1. Create the tags you need in "References". Then, tag the required bookings. Learn more on how to add tags to bookings.

2. Go to "Property management" > "Reports" and click the "Tags" report.

3. In the “Arrival dates” field, pick the period of time. Then, click the “Apply filter” button.

4. For the “Tag” filter, select the required tags. You can generate a report for all the tags or only for the specific one.

5. To group the data by months, tick the “Grouping by months” check-box.

6. To download the report to the desktop, click the “Export to XLS” button.

What data are there in the report

• Name — the tag’s name.

• Status — active/inactive tag.

• Arrivals — how many arrivals are supposed to happen on the selected day by bookings with the selected tag. Only bookings not confirmed as cancelled or no-shows are taken into account.

• Departures — how many departures are supposed to happen on the selected day by bookings with the selected tag. Only bookings not confirmed as cancelled or no-shows are taken into account.

• Rooms booked — the total number of rooms in the tagged bookings. Both active and cancelled bookings are taken into account.

• Nights booked — the total number of nights in the tagged bookings. Only bookings not confirmed as cancelled or no-shows are taken into account.

• Nights spent — the total number of nights in the tagged bookings that have been checked in. Only bookings not confirmed as cancelled or no-shows are taken into account.

• Average length of stay (ALS) — the average length of stay for the tagged bookings (the total number of nights divided by the total number of bookings). Only bookings not confirmed as cancelled or no-shows are taken into account.

• Rooms cancelled — the total number of rooms cancelled in the tagged bookings.

• Nights cancelled — the total number of nights cancelled in the tagged bookings.

• Nights cancelled % — the total number of nights cancelled from the total number of tagged bookings.

• Average cancellation window — the average number of days between the supposed day of arrival and the cancellation day of the tagged bookings. Only cancelled bookings are taken into account.

• No-show rooms — the number of no-shows among the tagged bookings.

• No-show nights — the total number of nights of stay in the tagged bookings confirmed as no-shows.

• No-shows nights % — the percentage of nights in the tagged bookings confirmed as no-shows within the selected period of time. Both active and cancelled bookings are taken into account.

• Average Daily Rate (ADR) — the average cost of a night in the tagged bookings within the selected period of time. Both active and cancelled bookings are taken into account.

• Revenue — the sum of total amounts (from the booking details pages) for the tagged bookings that have not been cancelled or confirmed as no-shows.

• Cost of cancellations — the sum of total amounts (from the booking details pages) for the tagged bookings that have been cancelled.

• Cost of no-shows — the sum of total amounts (from the booking details pages) for the tagged bookings that have been confirmed as no-shows.