RevPARGenius pricing guides · Worked example series
Reviewed by Mark Joefer, Hotel Market Intelligence Researcher · 13 October 2026 · 9 min read
A hotel always full on occupancy can still be leaving rate behind. In our worked example (synthetic data, 90 nights from 14 Oct 2026), a 40-cabin park runs at 93.2% occupancy with an ADR between NZ$116 and NZ$124 every night. At a 10% higher rate, revenue holds even if occupancy falls to 84.7%. The question for the GM is whether that many guests would really walk.
Every property figure in this post comes from a worked example with synthetic data for a fictional 40-cabin New Zealand holiday park, covering 90 nights from 14 October 2026. Its "market middle" figures are illustrative assumptions, not captured market data. Nothing here describes a real property.
"We're full most nights" is the most common reason an owner gives for leaving rates alone. It sounds like proof that pricing is right. Often it only proves that the price is low enough for everyone who looks to say yes.
This guide walks through one worked example, a fictional 40-cabin NZ holiday park built from synthetic data, and shows the checks a GM can run on their own property management system (PMS) in under an hour: how full, how flat, and how much room the rate has before revenue drops.
What does "always full" look like in the numbers?
In the worked example, the park sold 3,355 cabin nights out of 3,600 available across the 90 nights from 14 October 2026 to 11 January 2027. That is 93.2% occupancy. No night fell below 87.5%, and 38 of the 90 nights reached 95% or more. Thirteen nights hit 97.5%, which on a 40-cabin park means one cabin empty.
Room revenue for the period was NZ$398,826, an average daily rate (ADR) of NZ$119. That ADR barely moves. Across all 90 nights it sits between NZ$116 and NZ$124, a spread of 6.9% from the lowest night to the highest.
| Day group | Nights | Occupancy | ADR |
|---|---|---|---|
| Weekday (Sun–Thu) | 64 | 92.8% | NZ$118 |
| Weekend (Fri–Sat) | 26 | 94.2% | NZ$122 |
| All nights | 90 | 93.2% | NZ$119 |
| Ten event-flagged nights | 10 | 94.0% | NZ$120 |
Put those two facts side by side. Occupancy is high and steady. Rate is low in its range and steady. When both lines are flat at the top of occupancy, the price is doing very little work. Guests are not being asked to choose; they are simply booking.
High occupancy with a flat rate can mean several things: the rate fits the market well, the property has loyal repeat guests, or the price sits low enough that the last cabins sell early to whoever books first. Only the last one costs money, and only your own pickup data can tell them apart.
Why can high occupancy hide a rate problem?
Occupancy tells you how many cabins sold. It does not tell you how many guests would have paid more. A park at 93.2% has almost nothing left to sell, so the only lever left for revenue is rate. When the calendar is full weeks out, the property stops learning what the next guest would have paid.
Three signs in a PMS export suggest the rate may be lagging behind the occupancy:
- Occupancy above 90% on most nights, including weekdays. In the worked example the weekday figure is 92.8%, close to the weekend's 94.2%.
- Little difference between weekday and weekend rates. The example charges NZ$122 at weekends against NZ$118 on weekdays, a 3.4% weekend premium.
- Event nights priced like ordinary nights. The ten event-flagged nights in the sample sold at an ADR of NZ$120, almost exactly the 90-night ADR of NZ$119.
None of these proves the rate is wrong. Together they are a reason to test it. The four-week weekend premium method is one structured way to do that on Friday and Saturday nights first.
How does the illustrative market middle compare?
The worked example includes an illustrative market middle for every night. It is an assumption made for teaching, not a captured market rate. In a live setting this would be the median of comparable properties priced that night on the same search basis, published only when 15 or more are priced.
On that illustrative basis the gaps are wide. On weekday nights the park charges NZ$118 against an illustrative middle of NZ$141, which is 16.3% under. On weekend nights it charges NZ$122 against an illustrative middle of NZ$167, which is 26.9% under. On the ten event-flagged nights it charges NZ$120 against an illustrative NZ$195, which is 38.5% under.
| Day group | Park ADR | Illustrative middle | Gap |
|---|---|---|---|
| Weekday (Sun–Thu) | NZ$118 | NZ$141 | 16.3% under |
| Weekend (Fri–Sat) | NZ$122 | NZ$167 | 26.9% under |
| Event-flagged nights | NZ$120 | NZ$195 | 38.5% under |
A market middle is not this property's right rate. A holiday park cabin and a city hotel room are different products, and the right comparison set matters more than the number. What the gap does is tell the GM where to look first: the event nights and the weekends, where the distance is largest.
How much occupancy can you give up before revenue falls?
This is the check that turns a worry into a decision. Break-even occupancy is the occupancy at which a higher rate brings in the same room revenue as today. The formula is current occupancy × current rate ÷ target rate. We cover it step by step in break-even occupancy: the check before you raise rates.
| Rate change | Target ADR | Break-even occupancy | Cabins per night you could lose |
|---|---|---|---|
| +5% | NZ$124.95 | 88.8% | 1.8 |
| +10% | NZ$130.90 | 84.7% | 3.4 |
| +15% | NZ$136.85 | 81.0% | 4.9 |
Read the middle row as a question. At a 10% higher rate, the park keeps the same room revenue as long as occupancy stays at or above 84.7%. On 40 cabins that is about 3.4 fewer cabins a night. Would 3 or 4 guests a night out of 37 really decline a rate of NZ$131 instead of NZ$119? The owner and GM know their guests far better than any formula does.
There is a second benefit the formula leaves out. Fewer occupied cabins at the same revenue means less cleaning, linen and wear. Whether that matters depends on the property's costs, which this example does not include.
What should you do this week?
You do not need new software to run the first pass. Pull the next 90 nights from your PMS and work through this list.
- Export nightly occupancy and ADR for the next 90 nights. Count the nights at 90% or more.
- Split weekday (Sun–Thu) from weekend (Fri–Sat) and calculate each group's ADR. If the weekend premium is under 5%, flag it.
- List your event nights. For NZ properties, check Labour Day weekend (24–26 Oct 2026) and the Christmas and New Year period. Compare their ADR with your ordinary nights.
- Run break-even at +5%, +10% and +15% for the busiest day group. Write the cabins-per-night figure next to each.
- Pick one test. For example, raise Friday and Saturday by 5% for four weeks on nights not yet heavily booked. Rooms already booked are not repriced.
- Write down what you expect before you change anything, so the result has something to be measured against.
Our take
High occupancy is a good problem, and it is still a problem if the rate never moves.
In this worked example, the park is full almost every night at nearly the same rate. The break-even table says a 10% increase needs only 84.7% occupancy to hold revenue. That is not a recommendation to raise rates; it is a reason to run a small, dated test and let the property's own bookings answer the question.
If you want to see how a real market looks for context, our New Zealand hotel performance review for Q1 2026 is a useful starting point before you set any targets.
Frequently asked questions
Is 95% occupancy too high for a hotel or holiday park?
Not on its own. Very high occupancy is only a concern when the rate stays flat and the last rooms sell early to whoever books first. Check your weekday and weekend rates and your pickup timing before deciding anything.
What is break-even occupancy?
It is the occupancy at which a higher rate earns the same room revenue as today. Multiply current occupancy by current rate and divide by the target rate. In the worked example, 93.2% at NZ$119 breaks even at 84.7% if the rate rises to NZ$130.90.
Does a large gap to the market middle mean my rates are wrong?
No. A market middle is a reference point, not the right rate for your property. It shows where your pricing sits against similar places on the same search basis, and the decision still depends on your product, your guests and your own booking pace.
Should I raise all my rates at once?
A smaller, dated test is easier to read. Many GMs start with weekend nights or event nights that are not yet heavily booked, run it for four weeks and compare pickup with what they expected before the change.
Why does this post use synthetic data?
The figures come from a worked example built for teaching, so the method can be shown without describing any real property. Run the same checks on your own PMS export and your own numbers will tell you whether the pattern applies to you.
When you are ready to check your own calendar against a live market middle, RevPARGenius shows the nightly picture for your area on the same search basis.
Data sources: RevPARGenius worked example (synthetic PMS data for a fictional 40-cabin NZ holiday park, 90 nights from 14 Oct 2026; market middle column is an illustrative assumption). NZ public holiday dates: Labour Day Mon 26 Oct 2026. Analysis run October 2026. Last reviewed October 2026. RevPARGenius is a hotel market intelligence platform. It is not affiliated with any online travel agency or hotel chain.
Research methodology and disclosures: Market figures in this article are calculated by RevPARGenius from room rates publicly displayed on online travel agency (OTA) channels, on one search basis (1 night, 2 adults, 1 room, cheapest offer shown). We publish a market figure only where at least 15 properties were priced. The figures are advertised asking prices. They do not show occupancy, bookings, negotiated corporate rates or revenue achieved. Worked examples marked as synthetic use invented data. This article is general information, not pricing advice: each hotel sets its own rates independently. RevPARGenius and CloseMode are commercially affiliated platforms.
