The short answer
Minimum-stay rules (MinLOS) raise revenue when they defend genuinely strong demand and the shoulder nights around it: events, holidays and peak weekends. They hurt when a static rule stays in place after demand softens, creates orphan nights between bookings, and turns away shorter stays the hotel could still sell. The right setting follows pickup pace and booking window, not a season-wide default.
Key takeaways
- MinLOS only protects revenue when demand is truly strong; in slow periods strict rules block short bookings and depress occupancy.
- A single minimum-stay setting left unchanged all season is the most common and costliest mistake.
- Orphan nights, bookings landing exactly at the minimum, and empty last-minute dates are three signs the rule has gone stale.
- Longer minimums make sense far from arrival; shorten or remove them as the check-in date approaches.
- Every turnover carries cleaning, labour and wear costs, so one-night stays can be unprofitable even at a high rate.
- Raising a two-night minimum to three nights adds about 50% potential revenue but is only worth it if booking probability drops less than roughly a third.
What a minimum-stay rule actually controls
A minimum length of stay (MinLOS) requires a booking to cover at least a set number of consecutive nights. It is a demand and revenue tool: the hotel decides in advance which bookings are acceptable on which dates, and in doing so shapes the pattern of the calendar, not just the nightly rate.
MinLOS sits alongside related controls: maximum length of stay (MaxLOS), closed to arrival (CTA), closed to departure (CTD), and a minimum price or hurdle rate. They are combined so that one short booking on a peak date cannot block more valuable bookings on the nights around it.
The key point is that MinLOS does not create demand. It redistributes which requests the hotel is willing to accept. The only question that matters is whether the rule protects the overall calendar pattern or just a single date.
- MinLOS: minimum consecutive nights per booking.
- MaxLOS: upper limit on nights per booking.
- CTA: no arrivals on a given date.
- CTD: no departures on a given date.
- Hurdle rate: a floor price for a night.
When a minimum stay protects revenue
MinLOS works when demand is genuinely strong but unevenly distributed: one night sells out while its neighbours stay weak. The classic case is a city hotel during a four-day trade fair. Without a restriction, short bookings fill the strongest nights and leave the surrounding dates hard to sell. A minimum covering the whole event protects revenue across all of its days, not only the peak.
The same logic applies to weekends. If Saturday reliably sells first, a two-night minimum that includes Friday or Sunday extends occupancy beyond the strongest night. The rule earns its place when guests already tend to book several nights; then it supports demand instead of fighting it.
For small properties every night counts. Revenue specialists describe a 20-room inn near a wine region that kept receiving one-night Saturday stays, leaving Friday and Sunday empty. A two-night Saturday minimum smoothed weekend occupancy, lifted average daily rate through bundled demand, and cut housekeeping turnover.
- Peak dates, holidays and major local events.
- Weekends where Saturday sells out first.
- Shoulder nights before and after the peak.
- Segments where guests already book several nights.
When it drives guests away
The most common mistake is a static rule left in place all season. A restriction that protected valuable dates early in the season can begin blocking real demand a few weeks later, because the market and the remaining inventory have moved on while the rule has not.
The clearest symptom is the orphan night: an isolated gap between confirmed bookings that cannot be sold under the current minimum. If Wednesday sits open between a Tuesday checkout and a Thursday check-in and a three-night minimum is active, a guest searching for Wednesday alone cannot book it. The room stays empty even though it is ready to sell.
Two more signals are bookings landing exactly at the minimum and empty last-minute dates. When most reservations match the minimum exactly, guests are adapting to the rule rather than choosing their preferred length, and some are leaving for competitors. Empty dates shortly before arrival usually mean the rule was relaxed too late.
- More orphan nights appearing between bookings.
- Bookings clustering exactly at the minimum length.
- Dates still empty shortly before arrival.
- A minimum longer than the segment's typical stay.
Calibrate by booking window, not by season
A more responsive strategy varies the minimum with how much time remains before arrival. Far from the date, the hotel has more chances to sell a longer booking, so a longer minimum is justified. As the date approaches, holding the same rule becomes harder to defend if gaps remain.
Pickup pace tells you when to adjust. If a date 30 days out is filling quickly, a longer minimum may still protect the nights around it. If the same date has gaps ten days before arrival and pickup has slowed, a shorter minimum opens the calendar to guests who want shorter stays.
A beachfront property in peak season might use this structure: more than 45 days out, five nights; 14 to 45 days out, three nights; inside seven days, no minimum. The exact thresholds depend on the property, market and guest behaviour, but the principle stays the same: shorten the restriction as the chance of selling a long stay falls.
- Longer minimum far from arrival.
- Shorter minimum as arrival approaches.
- Thresholds set by property, market and pickup.
- One rule for the whole season almost always goes stale.
Turnover cost and the full margin of a night
A night's profitability is not just its price. Every turnover, arrival and departure, carries cleaning, labour and wear costs. A family staying five nights puts far less demand on housekeeping than five different guests occupying the same room one night at a time.
That is why short stays are not always profitable even at a high rate: the operational cost of turnover can erase the difference. It explains why hotels sometimes prefer one long booking at a lower average rate over several short bookings at higher rates.
But you must not sacrifice guaranteed revenue for a hypothetical one. Raising a two-night minimum to three nights adds roughly 50% more potential revenue through the extra night, yet it is only worth it if the probability of getting the booking does not drop by more than about a third. When in doubt, choose the less restrictive rule: a slightly suboptimal booking beats no booking at all.
- Turnover means cleaning, labour and wear.
- A long stay saves on turnover cost.
- Two to three nights adds about 50% potential revenue.
- Worth it only if booking probability drops less than about a third.
- When in doubt, relax the rule.
How to audit the rule and when to remove it
Review MinLOS together with your pricing strategy, never in isolation. Before setting a new rule, look at length of stay by arrival date, pickup trends and seasonality. If demand is not confirmed, do not restrict.
Check the rule against three simple questions: are orphan nights increasing; are bookings landing exactly at the minimum; are dates still empty shortly before arrival. Any one of these signals is a reason to shorten the minimum while the dates can still be sold.
Reviewing every date across room categories and channels manually is hard, especially for a small team. That is why restrictions often go unchanged, not because the rule is still right but because no one has time to review every date. Automation removes that burden: a person sets the strategy and thresholds, and the system watches the calendar and applies the rules as the booking window changes.
- Data first, then the restriction.
- Three signal questions for the audit.
- Review together with price, not separately.
- Relax while the dates can still be sold.
Put it into practice
Minimum-stay audit checklist
Work through these points before each season and whenever empty dates appear. A 'yes' in the relax group is a reason to shorten or remove the minimum.
- Identify peak dates from history and the regional events calendar, not by feel.
- Check pickup pace at 45, 30, 14 and 7 days before arrival.
- Count orphan nights between confirmed bookings over the last 90 days.
- Compare actual average length of stay by segment with the current minimum.
- Estimate turnover cost (cleaning, labour, wear) against the revenue of a short booking.
- Check whether bookings are clustering exactly at the minimum length.
- Review dates in the next seven days that are still open under an active minimum.
- Set thresholds: longer minimum far from arrival, shorter or none near arrival.
- Assign an owner and a review cadence, such as weekly in peak season.
- Log the outcome: which demand justified the rule and what it actually produced.
Questions people ask
What is the difference between minimum and maximum length of stay?
MinLOS requires a booking to cover at least a set number of nights and protects peak dates from short stays. MaxLOS caps the number of nights and is used ahead of events or on discounted rates to free rooms for higher-paying peak bookings. Both shape the calendar pattern but in opposite directions.
Can a minimum-stay rule reduce revenue?
Yes. If the minimum is longer than the segment's typical stay or stays active in weak demand, the hotel turns away short bookings it could have sold. Orphan nights and empty last-minute dates appear, and revenue falls because the rule is blocking sales rather than protecting value.
How do I know when to relax the minimum?
Watch for three signals: more orphan nights between bookings, most reservations landing exactly at the minimum, and dates still empty shortly before arrival. Any of these means the rule has gone stale and should be shortened while the dates can still be sold.
How long should the minimum be far from the arrival date?
There is no universal figure. A resort might use five nights more than 45 days out, three nights from 14 to 45 days, and no minimum inside seven days. Thresholds depend on the property, market and guest behaviour; the principle is to shorten the minimum as the chance of selling a long stay falls.
Are one-night bookings ever worth taking?
Sometimes not. Every turnover carries cleaning, labour and wear costs, so a single night at a high rate can be less profitable than a longer stay at a lower average rate. But in slow periods a short booking is better than an empty room: guaranteed revenue beats a hypothetical one.
Can minimum-stay rules be automated?
Yes. Modern revenue management systems apply configurable rules by booking window and automatically shorten the minimum when calendar gaps appear. A person sets the strategy and thresholds, while the system performs the daily checks a small team rarely has time to complete.
Sources and further reading
Sources were checked when this page was generated. Confirm changing dates, rules and prices with the original publisher.
- Hotel stay restrictions: MinLOS, MaxLOS & how to use themLighthouse
- Hotel minimum stay strategy: when restrictions help and when they hurtSmartness
- Minimum Stay AutomationHostfully
- How Hotels Can Maximize Revenue With Stay ControlsNetSuite
- PriceLabs' Minimum Stay Recommendation Engine AlgorithmPriceLabs
- LOS - Length of Stay Definition / MeaningXotels