Active Listing: A listing that is live on Airbnb or VRBO (or it was during the last 15 days).
Active Dates: This indicates how many days the listing was open to reservations. As an example, some host might block off their winter calendar for 3 months and not take bookings during the time. Or it could be a new listing that only started listing 9 months back. In such cases, we'd report 270 days as active days in the last year.
Average Daily Rate (ADR): It is the total rent divided by the number of nights within a given time period. An indicator of the average price of a vacation rental is calculated by dividing the total revenue generated in a vacation rental by the number of nights the vacation rental was booked. It is essentially the booked rate and does not include the prices for open nights. Read more here.
Bedroom Category: By default listings in the Market
Dashboard are grouped by the number of bedrooms they advertise on Airbnb. In
addition, there is a “Room” category that groups all listings with 0 or 1
bedroom that is advertising as a shared, private, or hotel room.
Booked Dates: This refers to a time period where we
consider the bookings that were received, whether the stay dates for
those bookings have occurred yet or not. For example, “Past 30 Booked Dates” can be
read as “for bookings received in the last 30 days”.
Booked Nightly/Weekly/Monthly Price: The price per
night for bookings that have a certain length of stay. Booked Nightly Price
would consider all bookings, Booked Weekly Price would consider bookings with
length of stay greater than or equal to 7, Booked Monthly Price would consider
bookings with length of stay greater than 30. Length of Stay discounts are
Booking Window: The number of days between when the
booking was made and the first stay date for that booking. A same day booking,
where the first stay date is the same as the booked date, would have a Booking
Window of 0. If someone books today to start their stay tomorrow, that would be
a Booking Window of 1, etc.
Comp Set: Create your own made of the similar listings which potential customers are comparing your listing against when choosing where to book. A ‘Comp set’ or competitive set is a list of other competing properties within a specific market that potential customers are comparing against your listing when choosing to book a property. It is a group that you put together when creating your competitive study based on relevant, specific selection criteria compared to your property.
Length of Stay (LOS): The number of nights a booking
is for. For a booking where guests check in Friday and checkout Sunday, the
Length of Stay would be 2 (Friday night and Saturday night).
Median Lead Time: Mid-positioned time in which guests are booking prior to the start of the reservation.
Occupancy: We estimate the occupancy of each listing after applying our block-removal logic (see 'block removal' below).
Percentile: The percentage of listings that fall at
or below the given value. For example, if the 25th percentile price
is $144, that means 25% of listings have a price equal to or lower than $144.
Revenue: This is for any bookings that come to the property (regardless the channel). Although the Market Dashboards are created from publicly available data on Airbnb and VRBO, we try to estimate what dates got booked, which didn't, and at what price, by monitoring the listings calendars, removing outliers, blocked dates, etc. Regardless of where a booking comes from, when the dates become unavailable, that indicates to us that quite possibly the listing got booked. We use the last seen price to estimate the revenue from the booking at that point (cleaning fee, extra guest fee, etc are not included in the estimate).
RevPar: RevPAR can effectively predict your ADR’s success at filling available rooms. This, therefore, provides a constructive view of your property’s operational performance. It is the balance between the occupancy rate and ADR that is, it is the occupancy rate multiplied by the average daily rate. Read more
Scraped Data: Data that comes from publicly viewable
websites and pages. For listings, some examples of data that we scrape are
future prices, future available dates, listing info such as number of bedrooms
and amenities included. See Data Source and Processing section for more details
on the data we gather and how we process it.
Stay Dates: This refers to a time period where we
consider bookings where guests have stayed at the listing during the period.
“Past 30 Stay Dates” can be read as “In the past 30 days for bookings where
guests have stayed”.