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Hotels & lodging

10 Numbers Every Hotel Owner Should Read Each Morning

Ten numbers, read in a sensible order, tell you how last night went, how the next 90 days look, where cash is and what tomorrow needs. Each comes with a question.

10 hotel numbers to read each morning
On this page
  1. How should you read the ten?
  2. What are the ten numbers, and what does each one ask?
  3. What does a worked morning look like?
  4. What are the common mistakes?
  5. Does this change for a very small or very large hotel?
  6. How do you set this up without a data team?
  7. Key takeaways

The hotel KPIs worth reading each morning are ten numbers, and the order you read them in matters as much as the numbers. Start with last night, move to the next 90 days, then channels, cash and tomorrow's workload. Finish with profit. Done in that order it takes about ten minutes, and each number answers one question you can act on before lunch.

Typical dashboards offer forty figures and no sequence. This list is deliberately short. Anything that cannot change a decision today belongs in the weekly or monthly review.

How should you read the ten?

Read them as five groups, always in the same order:

  1. Last night: occupancy, ADR, RevPAR
  2. The future: pickup, pace, cancellations
  3. The mix: channels
  4. The money: cash due and cash owed
  5. Today and the long view: workload and GOPPAR

Pair every number with a question. A figure with no question is decoration.

A morning number earns its place by changing something before the end of the day.

What are the ten numbers, and what does each one ask?

Each number below comes with a definition, the question it answers and a common trap. Read them in this order.

1. Occupancy: did the rooms sell?

Occupancy is the share of available rooms that were sold. Read it for last night, then for the next seven nights. The question: are we filling the rooms we can sell, or are rooms out of order making the number look worse than it is?

Watch the scale of your property. In a six-room hotel, one booked room moves occupancy by 16.7 percentage points, so a single cancellation looks like a crisis. Small properties should read it as rooms, not as a percentage.

A common mistake is to chase occupancy alone. A full house at a poor rate can be worse than a nearly full one at a good rate, which brings us to the next number.

2. ADR: what did the rooms sell for?

Average daily rate is room revenue divided by rooms sold. Compare last night with the same weekday last week and last year. The question: did we sell the rooms cheaply, and if so, to whom and through which channel?

ADR has limits worth knowing. According to an STR explainer, it covers only revenue-generating guest rooms, ignores other income, and says nothing about unsold supply. It also notes that accepting lower-priced business can lower ADR without raising occupancy.

The fix is to read ADR next to occupancy, never alone.

3. RevPAR: did the pair work together?

RevPAR is room revenue divided by available rooms, or occupancy multiplied by ADR. It is the check on the first two numbers. The question: did we trade rate for occupancy, or occupancy for rate, and did it pay?

The same STR explainer gives a clean example. US$15,000 of room revenue from 125 sold rooms is an ADR of US$120, but across 150 available rooms the RevPAR is US$100. The gap between them is the unsold rooms.

If you want the three explained together, read RevPAR, ADR and occupancy explained.

4. Pickup: what changed since yesterday?

Pickup is the number of rooms booked for a date range from a chosen point in time. Hospitality Net's explainer from Lighthouse gives the example of a Friday where 23 room nights were booked over the previous seven days, and notes that pickup counts new bookings, cancellations, changes and group adjustments.

Read it for the next 30 to 90 stay dates, a window also suggested in the small-hotel dashboard guide. The question: which dates moved, and do we know why?

A sudden spike for one weekend usually means an event, a competitor sold out, or a rate error. Find out which before touching price.

5. Pace: are we ahead or behind?

Pace is the rate at which bookings arrive for each date. It means little alone, so compare it with the same point last year or a comparable period. The question: at this stage, are we ahead of where we usually are?

The Lighthouse piece recommends segmenting by length of stay, channel, room type and day of week, and watching room-type mix. Total pace can look healthy while lower-category rooms outperform and higher-category rooms lag. In that case, raising the lowest rate could slow pickup, while adjusting higher-category pricing could help.

Pace tells you when to act early. Waiting until the week of arrival to discover a soft date leaves few options.

6. Cancellations and no-shows: how firm is the business?

Cancellation rate, how late people cancel, no-shows, shortened stays and repeated changes show how firm your bookings are. The question: which channel, rate plan or booking window is leaking?

The small-hotel guide recommends analysing cancellations by channel, rate plan and booking window rather than relying on a headline percentage. Take a hotel with a modest cancellation rate overall: it may have almost none on direct bookings and many on one platform. That is a different problem with a different fix.

7. Channel mix: who is sending the guests, and at what cost?

Net channel contribution is not a single formula. It means comparing room revenue, commission, discounts, cancellations, length of stay, payment costs and operational burden by channel, as the same guide describes. The question: which channel gave us the best guest for the least cost?

Read the share of direct bookings daily, but judge the channels weekly. A channel with high volume and high commission can be less valuable than a smaller one with longer stays and fewer cancellations. See the guest journey for the moments that decide whether a guest books direct next time.

8. Cash: what is owed to you and by you?

Cash is the number many hotel teams read last. Read deposits requested, payments received, balances due before arrival, pay-at-property amounts, expected platform payouts, refunds, disputes and overdue receivables. These are the cash items the dashboard guide lists. The question: is there money we should have received that has not arrived?

Payouts from platforms can lag arrivals by weeks, and disputes can arrive long after checkout. A hotel can be full and short of cash. A five-minute daily scan avoids that surprise.

9. Tomorrow's workload: can the team deliver it?

Arrivals, departures, stayovers, rooms out of order and special requests, by day, tell you how heavy tomorrow will be. The question: is tomorrow staffed for the work, not just for the occupancy number?

Two hotels at 70% occupancy can have very different days. One has 20 arrivals and 20 departures, the other has mostly stayovers. Housekeeping, front desk and breakfast all feel the difference. Share this number with department heads before the morning meeting, and make it part of your standard operating procedures.

10. GOPPAR: is the whole hotel making money?

GOPPAR is gross operating profit per available room: gross operating profit divided by available room-nights. RevFine's explainer gives the formula and an illustrative table: 150 rooms, 54,750 available room-nights, total revenue of 6,000,000 and expenses of 2,850,000 give a gross operating profit of 3,150,000, or about 57.5 per available room. Those are the page's example figures, not a benchmark.

Why include a profit number in a morning list? Because revenue measures can hide a slow squeeze. A HotStats-contributed explainer imagines a hotel whose revenue stays flat for four years while labour costs rise, a loss that revenue-only metrics would miss.

The cost side closes monthly, so do not read GOPPAR as a daily number. Glance at the latest month each morning, against last year. The question: are we making money on the revenue we are celebrating?

What does a worked morning look like?

Picture a 40-room hotel on a Tuesday. These figures are invented to show the reading, not to set a benchmark.

Last night 28 rooms sold. You see the occupancy, then the ADR, then the RevPAR, and note the rate was lower than last Tuesday. Pickup for the weekend in three weeks shows nine rooms added in a week, ahead of last year, so you check whether a local event explains it. It does, so you close the cheapest rate for those dates. One platform shows several cancellations for next month, so you ask why. A rate plan with free cancellation up to the day before arrival is the answer, and you review it.

Cash shows a platform payout later than expected, so finance chases it. Tomorrow brings 18 arrivals and three rooms out of order, so you tell housekeeping at the morning meeting. The whole read takes about ten minutes, and it produced four actions.

What are the common mistakes?

  • Reading numbers in isolation. Fix: pair each with its partner, such as ADR with occupancy.
  • Comparing only with yesterday. Fix: add the same weekday last week and the same date last year.
  • Reacting to one night. Fix: look at the trend over seven days before changing price.
  • Treating the report as the job. Fix: write the day's one action at the bottom, and do it.
  • Adding numbers nobody uses. Fix: remove any figure that has not led to a decision in a month.

Does this change for a very small or very large hotel?

The ten numbers hold in both, but the reading differs. A small property reads rooms, not percentages, and may merge cash and channels onto one line. A larger hotel splits the page by department, and adds segments such as group and transient business, as the Lighthouse piece suggests. In both, the discipline is the same: a fixed order, a question for each number and one action at the end.

How do you set this up without a data team?

Start on paper. Build a single page with the ten numbers in this order, and fill it by hand for two weeks. You will quickly learn which numbers your system gives you easily and which need a better report.

Then follow these steps:

  1. Ask your property management system for one saved report with the ten numbers.
  2. Add a column for the same day last year.
  3. Write one line each morning: the one thing that needs action today.
  4. Review the page in the weekly meeting and remove anything that never led to a decision.

Keep guest reviews and open complaints in the weekly review, not the morning page. They matter, but they behave differently from the numbers above.

Key takeaways

  • Read the ten numbers in a fixed order: last night, the future, channels, cash, workload and profit.
  • Pair every number with a question, and remove those that never change a decision.
  • Read occupancy, ADR and RevPAR together, never one alone.
  • Use pickup and pace to act early, and segment cancellations by channel, rate plan and booking window.
  • Do not forget cash, and treat GOPPAR as a monthly check on whether revenue is turning into profit.

Questions people ask

What are the most important KPIs for a hotel?

Occupancy, average daily rate (ADR) and revenue per available room (RevPAR) show how rooms are selling. Pickup, pace and cancellations show what is coming. Channel mix and cash show the quality of that business. Gross operating profit per available room (GOPPAR) shows whether the whole hotel makes money after costs.

How is RevPAR calculated?

RevPAR is room revenue divided by available rooms, which equals occupancy multiplied by ADR. Available rooms include unsold ones. For example, 15,000 of room revenue across 150 available rooms gives a RevPAR of 100, while the same revenue from 125 sold rooms gives an ADR of 120.

What is the difference between pickup and pace?

Pickup is the number of rooms booked for a date range since a chosen point in time, including cancellations and changes. Pace is the rate at which bookings arrive for each date. Pickup tells you what changed recently, and pace compares that against the same point last year or another benchmark.

How often should a hotel review its KPIs?

Read a short set daily, a wider set weekly and profit metrics monthly. Daily numbers should drive a decision that day, such as price, staffing or follow-up on cash. Profit measures such as GOPPAR depend on costs that close monthly, so checking them daily adds noise.

What is GOPPAR and why does it matter?

GOPPAR is gross operating profit per available room: total revenue minus operating expenses, divided by available room-nights. Unlike RevPAR it includes costs and non-room income, so it shows when rising revenue is being eaten by rising labour or food costs. It suits whole-property performance, not room-level analysis.

Sources

  1. Hotel PMS Reporting Dashboard: Metrics Small Hotels Should Check Weekly (2026)
  2. The importance of pickup and pace in hotel revenue management (Hospitality Net, 2025)
  3. What Is Average Daily Rate (ADR) and How to Calculate It (Hotel Online, 2022)
  4. What is GOPPAR? (RevFine)
  5. What Is GOPPAR and Why Does It Matter? (Hospitality Net, 2020)