Cancellations characteristics report
Track and analyze your propertyʼs cancellation patterns
If you work in hospitality, you know that cancellations are a part of the job. But what if a lot of your guests are canceling on short notice? And what if you have a lot of bookings that end up as no-shows? Getting a better understanding of your propertyʼs cancellation patterns can help you identify steps to limit these situations.
The "Cancellations characteristics" report shows you real-time data on what percentage of your bookings end up being canceled and when, as well as how your cancellations and no-shows compare to other properties near you.
With that key info at your fingertips, you can take steps to boost your occupancy, secure more reliable reservations, and lock down revenue.
How does the report benefit your business?
Take control of your cancellations
Compare your statistics to similar properties in your area, and identify areas for improvement.
Boost your occupancy
Use data to make decisions and secure more revenue throughout the year.
Save time by accessing key cancellation data within a few clicks.
"The report gives you insights into the causes of revenue loss, and actionable steps to improve the overall quality of your reservations."
David P., Account Manager at Booking.com
How should I use the report?
To get started, compare your performance with that of your competitive set and overall market. If your cancellation rate is higher than youʼd like it to be, there are two key steps you can take to understand whatʼs causing your cancellations:
Step 1: See which book window has more cancellations or no-shows
The first graph, "Reservation Status per Book Window," shows you when most of your cancellations happen in relation to the check-in date.
Try to identify a particular book window where your cancellations are high compared to your stayed reservations. Then, check how that differs from that of your market, competitive set, or peer group.
Typically, itʼs reservations made in longer book windows on a flexible policy that are more likely to result in cancellations.
Step 2: Check when most cancellations are happening
Using the third graph, "Cancellations Prior to Check-in," try to identify a particular time period before check-in when most cancellations occur.
This data can help inform your decisions around cancellation policies.