Clusters (virtual objects) in statistics
Clusters are in fact a combination of multiple objects, which are treated as a single (virtual) object when this cluster is reserved. This affects how these cluster reservations are displayed in the statistics.
Available and rented object nights
When determining available and rented object nights, we only include physical objects in the calculation. The virtual object of a cluster is not included in this, but the underlying physical objects are. We do this to avoid double counting of capacity.
You need to keep that in mind for certain statistics, as in the example below.
Turnover
Statistics determine turnover based on confirmed reservations. Turnover on a cluster (virtual object) is the combined turnover of the underlying objects.
When dividing turnover among the different objects, as is done for example in RevPar and ADR, a cluster causes a distorted picture. This also happens when breaking down by object, as in the example below.
Example:
Cluster C consists of objects A and B. Last month there was a 10-night reservation on cluster C, for €1000.
To calculate RevPar, the total rental turnover is looked at against the number of available (not booked) nights in a period.
To determine the available nights, objects A and B are looked at, but not cluster C. Because A and B were booked through C, the number of available nights for this month comes back as 30.
The RevPar calculation for all reservations and objects then goes as follows:
€1000 (turnover) / 2 (number of objects (A and B)) * 30 (available nights) = €16.66.
At breakdown per object:
A: €500,- (turnover part A) / 1 (number of objects) * 30 (available nights) = €16,66.
B: €500,- (turnover part B) / 1 (number of objects) * 30 (available nights) = €16,66.
C: €1000 (combined turnover A and B) / 0 (virtual object) * 20 (available nights) = €0.