The reporting section is essential for any host that wants to improve his revenue. In this section, you can generate reports using a broad range of filters on a portfolio level (multiple listings, per city).
For individual reporting, you can generate reports on a listing level as well.
Overview of the Reporting section
Reporting section allows you to see all the graphs on a monthly basis, including:
One of the most important KPI indicators. Here you can see the revenue per month from the selected filters.
To exemplify the occupancy rate, let's imagine that an apartment building contains 20 units and 18 of them have renters. Therefore, the building has a 90% occupancy rate. Similarly, a 200-room hotel with guests staying in 150 rooms at a time has a 75% occupancy rate.
Average Nightly Rate or Average Daily Rate (ADR)
An average daily rate (ADR) is a metric to indicate the average room rental per day for the given month.
Cash flow is the net amount of money being transferred into your business during the month. For example, Airbnb pays a few days after the check-in, so it will display when you are receiving this revenue.
This is the potential revenue that your property could earn if all nights were booked at the actual rates, minus the cleaning fee.
Revenue by channel
This is the revenue of your property per channel (Airbnb, Booking.com, etc.).
Revenue by type
This is the revenue of your property split by type (rental, cleaning, etc.).
Average Booking Days in Advance
How many days in advance your guests have booked your property. For example, in February they might have booked only 6 days in advance, while in December 55 days in advance.
Average Reservation Lenght
This is the average of how many days guests' book per one reservation.
Average Reservation Value
To exemplify this, people tend to spend an average of 400$ per stay in February and an average of 1000$ in December.
Average Guests Count
This is the average of the number of guests you have per reservation.
Revenue Per Available Room (RevPAR) is used to make an assessment regarding your operations and the ability to fill the available property at an average rate. An increase in a property's RevPAR means that its average room rate or its occupancy rate are increasing.
An Example of RevPAR :
Let's say that you have 5 similar properties in the same building, which have average occupancy rate of 75%.
The average cost for a property is $100 a night. Using this data, we can calculate the RevPAR performance as follows:
($100 per night x 75% occupancy rate) = $75
With this, we can make key assessments and decisions. With a $75 RevPAR on a $100 average night, it could be good to reduce the average rate to $75 to help to achieve full capacity.
You can filter the statistics as much as you want with these filters:
You can export any report for your further convenience.