Revenue management, answered

How do I read length of stay data to set minimum stay rules?

Pull your length-of-stay distribution by month and segment it into short (1-2 night), mid (3-5 night), and long (6-plus night) buckets. Where short stays dominate your gaps but block longer bookings during peak periods, tighten your minimums. Where mid stays drive your highest occupancy, protect them.

By Jack Murphy, Head of Revenue Management at UpRev. Running pricing for US vacation rental managers since 2017. Last updated September 1, 2026.

Reading the Distribution Before Setting Rules

Start with a rolling 12-month look at actual booked nights, not just booking counts. A property might show dozens of short-stay bookings that collectively block a handful of high-value weekly runs. The goal is identifying which stay lengths are filling calendar gaps versus which are cannibalizing anchor bookings. Look at this by arrival day of week, not just by month, because Friday arrivals and Sunday arrivals often behave very differently.

Matching Minimums to Demand Windows

During shoulder periods where demand is softer, a rigid minimum will kill occupancy faster than it protects rate. In those windows, your data should show whether shorter stays are actually filling nights that would otherwise go dark. Peak periods are a different story: if your distribution shows the market naturally books in weekly or multi-night increments during holidays, a minimum stay rule simply formalizes what demand is already doing. Setting minimums against the grain of your actual booking patterns is where most managers lose revenue.

Monitoring Rules After You Set Them

A minimum stay rule is not a set-and-forget decision. Track orphan gaps created by your minimums each month and compare that stranded inventory to the revenue your longer bookings are generating. If you are consistently seeing two-night gaps between weekly stays that go unfilled, your minimum may be too rigid for that unit or market. Adjust minimums at the property level, not just the portfolio level, because length-of-stay behavior varies meaningfully by bedroom count and location type.