Glossary
The short-term rental terms used in JokerPrice's reports, calculator and pricing, and exactly how JokerPrice measures each one.
- Achieved price
- What the guest actually paid per night after discounts and promotions. It is not public; asking prices of booked nights are the closest available signal.
- ADR (average daily rate)
- Average price per booked night. JokerPrice computes it from the asking price of nights inferred as booked, before cleaning and service fees, discounts and VAT.
- Asking price
- The nightly price a listing advertises. It is what JokerPrice can observe publicly.
- Base rate
- The anchor price for a property before weekday, seasonal, demand and lead-time adjustments.
- Blocked night
- A night the owner closed rather than sold, inferred from long or far-ahead closures. Blocked nights are excluded from occupancy.
- Booked night
- A future night that was open at one calendar check and closed at the next, and is not treated as an owner block.
- Booking pace
- How quickly future nights are filling compared with a target or with past years at the same lead time.
- Collecting state
- Shown until a destination has at least 7 days of tracking and 100 observed listing-nights. Occupancy, ADR and revenue are hidden until then.
- Comp set
- The specific group of comparables chosen for a property, defined in JokerPrice by radius, property type, bedrooms and optional district or floor area.
- Comps (comparables)
- Nearby listings similar to yours in type, size and location, used to benchmark prices and performance.
- Far-out premium
- A price increase for dates far in the future, to avoid selling peak nights too cheaply too early.
- Gap night
- A short run of open nights between two bookings, often hard to sell without a discount or a shorter minimum stay.
- Last-minute discount
- A price reduction applied as an unbooked date approaches.
- Lead time
- How many days before the stay a night was booked. Short lead times suggest last-minute demand; long lead times suggest planners and holiday travel.
- Listing-night
- One listing on one night. 100 listings observed for 30 nights is 3,000 listing-nights.
- LOS (length of stay)
- The number of nights in one booking. Minimum-stay rules set the shortest LOS a host accepts; longer stays usually reduce turnover costs.
- Median
- The middle value when prices are sorted. It is less affected by a few very expensive or very cheap listings than the average.
- Minimum and maximum price
- Hard limits that no automatic pricing adjustment can cross.
- Minimum stay
- The fewest nights a guest must book. One-night searches can miss listings with a longer minimum stay.
- Occupancy
- Booked nights divided by nights that were available to book and observed. Owner blocks and nights whose status is unknown are left out of both sides.
- On the books
- The share of future nights already booked. A higher figure than usual for the same lead time signals strong demand.
- Percentile positioning
- Where a property prices itself among comparables. The 50th percentile is the market median; the 75th sits above three quarters of comps.
- Revenue per listing per month
- ADR × occupancy × 30. A rough gross monthly figure for a typical tracked listing, before costs.
- RevPAR (revenue per available night)
- ADR multiplied by occupancy. It combines price and demand into one figure, so two listings with different strategies can be compared fairly.
- Seasonality
- Predictable changes in demand over the year, driven by weather, school holidays, the Hijri calendar and events.
- Supply pressure
- A comparison of how many comparable listings are still open for a date with how many are usually open. Falling supply indicates rising demand.
- Tracked listing
- A listing whose public calendar JokerPrice checks daily to infer bookings.
- Unknown night
- A night that was already closed the first time a listing's calendar was checked. Its status cannot be known, so it is excluded.
- Weekday pattern
- The typical ratio of each weekday's market price to the overall level, used to shape rates when a specific night has thin data.