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Where Data Meets Hospitality Excellence.

Data Analysis

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Hotel Data Analysis involves collecting, processing, and interpreting data to uncover insights that drive operational and strategic decisions

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Revenue Management

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Hotel Revenue Management is the strategic practice of optimizing a hotel's income by selling the right room to the right guest at the right price

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Sales and Marketing

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Sales and Marketing focuses on promoting the hotel's services to attract guests, boost occupancy, and maximize revenue.

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Cost per Occupied Room (CPOR)

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Cost per Occupied Room (CPOR)


How to Set Up Room Rates Based on Cost per Occupied Room (CPOR)

As a hotelier with more than 17 years of experience in resorts, I have seen first-hand how pricing decisions can make or break profitability. One of the most reliable methods used in revenue management is calculating Cost per Occupied Room (CPOR). This method ensures that room rates are not just competitive, but also profitable, by accounting for operational expenses tied directly to occupancy. CPOR allows hoteliers to strike the right balance between cost recovery and strategic pricing.

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What is CPOR?

Cost per Occupied Room (CPOR) is a financial metric used in hospitality to measure how much it costs a property to service a single occupied room. It covers all the variable expenses tied directly to guest occupancy, such as payroll, cleaning supplies, amenities, and utilities. Unlike fixed costs (like building rent or long-term loans), CPOR changes depending on the number of occupied rooms.

In simple terms, CPOR answers the question: "How much does it cost me to serve one guest room tonight?"

The CPOR Formula

The basic formula is:

CPOR = Total Departmental (or Operating) Cost ÷ Total Rooms Sold

This formula can be applied at different departmental levels (e.g., housekeeping, front office, food & beverage), but is most commonly used for housekeeping and general operations since those departments are most closely tied to occupied rooms.

Step-by-Step CPOR Calculation

  1. Step One: Add up all payroll-related costs. This includes salaried staff, agency payroll, contractor wages, pensions, and contributions for the department you are analyzing.
  2. Step Two: Sum these costs for the chosen period (weekly, monthly, or quarterly) to get the Total Payroll/Operating Cost.
  3. Step Three: Record the total number of rooms sold in the same period. This comes directly from your property management system (PMS).
  4. Step Four: Divide the Total Cost by the Rooms Sold to calculate CPOR.

Worked Example (Housekeeping Department)

Below is an example using a one-week housekeeping payroll dataset:

Day Total Payroll Cost (£) Rooms Sold CPOR (£)
Thursday 1,322.80 182 7.27
Friday 1,192.78 171 6.98
Saturday 1,367.27 200 6.84
Sunday 1,335.37 140 9.54
Monday 1,114.96 168 6.64
Tuesday 1,271.93 188 6.77
Wednesday 1,337.02 176 7.60
Total 8,942.14 1,225 7.30

Analysis: In this example, the housekeeping CPOR for the week is £7.30. This means that for every occupied room, £7.30 goes toward housekeeping payroll. If your average room rate is £120, this cost is only a small portion of the rate but becomes significant when multiplied by hundreds of rooms per night.

Why CPOR Matters in Resort Pricing

  • It provides a baseline for cost efficiency per room.
  • It ensures that pricing covers variable expenses before considering fixed costs and profit.
  • It helps compare actual vs. budgeted performance.
  • It gives management a tangible benchmark when reviewing rate strategies.

Practical Applications of CPOR

CPOR is not just a financial calculation—it’s a decision-making tool. Here’s how resorts use it in practice:

  • Rate Setting: Ensure that the lowest rate offered (e.g., promotions or group discounts) still covers CPOR.
  • Departmental Efficiency: Compare CPOR week-to-week to identify inefficiencies in labor scheduling.
  • Forecasting: Predict how rising payroll costs will impact CPOR in peak and low seasons.
  • Benchmarking: Compare CPOR across properties in the same brand or destination.

Common Mistakes to Avoid

  • Not updating CPOR calculations frequently enough, especially during seasonality changes.
  • Ignoring non-payroll costs (e.g., guest supplies, utilities) that also impact CPOR.
  • Using average CPOR without recognizing day-of-week variations.
  • Applying CPOR uniformly across all room types, even though servicing suites often costs more.

Advanced Uses of CPOR

Experienced revenue managers take CPOR beyond the basics by integrating it with other KPIs:

  • CPOR + RevPAR: Compare how much of revenue per available room is consumed by costs.
  • CPOR + GOPPAR: Analyze departmental efficiency in driving gross operating profit per available room.
  • Segment CPOR: Break down CPOR by guest type (group vs. leisure vs. corporate).
  • Seasonal CPOR: Adjust labor costs during high occupancy months vs. low occupancy months.

Case Study: Seasonal CPOR Adjustments

Imagine a beachfront resort that employs seasonal staff. In summer, payroll costs rise by 25% due to higher occupancy. However, CPOR may remain stable because the increase in rooms sold offsets the higher payroll. In contrast, during low season, payroll might shrink but CPOR can rise because fewer rooms are occupied. This shows why CPOR must always be analyzed in context of occupancy levels.

Tips for Using CPOR in Daily Operations

  • Run CPOR reports weekly to stay aligned with operational changes.
  • Use CPOR to negotiate with outsourcing agencies and labor contractors.
  • Integrate CPOR into your PMS or BI dashboards (SQL/Tableau can automate this).
  • Share CPOR insights with department heads so they see the link between labor scheduling and profitability.

Final Thoughts

CPOR is more than a number—it’s a window into the efficiency of resort operations. By mastering CPOR, hoteliers ensure that room rates are not only competitive but also financially sustainable. Whether you are managing a luxury beachfront resort or a midscale all-inclusive, CPOR should be part of your regular pricing and operations review process.

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Resort Room Rate

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Resort Room Rate


Resort Room Rate Setup: Introduction

As a hotelier who has worked in resorts for almost over 17 years, See my Portfolio, I have seen how pricing decisions can make or break performance. Setting resort room rates is not about guessing — it’s a structured process. Over the years, I found that there are 4 practical steps that help every resort achieve the right price in the right season, amongst competitors, for the right guest segment.

In this series, I will explain these four steps in detail. Each post will focus on one element of the room rate setup process, building a complete picture of how resorts can design a strong pricing strategy.

The 4 Guiding Steps

This order flows naturally: Seasonality → Positioning → Room Type → Segment
= When → Where → What → Who

Follow along as we begin with Seasonality in the next section.

What is Seasonality?

Seasonality is defined as a pattern of seasons that repeat themselves predictably over time. Seasons are periods during which demand for a property or market is similar and constant, or is significantly different from demand periods around it.

Why Define Your Seasons?

Identifying a property’s seasons is an important factor in being able to proactively price correctly at all times of the year. Seasonal pricing helps reduce the risk of having inappropriate rates during different seasons, and it lowers the chance of turning away customers who might have booked had the proper price been set for those dates. Understanding the importance of seasonality helps you target seasonal timeframes when it makes sense to capitalize on revenue opportunities by adjusting rates either up or down. In general, as occupancy and demand fluctuate, so too does the opportunity to adjust pricing.

How to Define Your Seasons

Seasonality is determined by using a variety of tools to identify and analyze trends in occupancy and demand. To define your property’s seasons, complete the following steps:

  1. Review recent performance data such as Occupancy, Average Daily Rate (ADR), and RevPAR charts over the last 12–18 months compared with competitors.
  2. For each chart, draw vertical markers to indicate logical seasonal breaks.
  3. Evaluate and compare the markers you have drawn:
    • Do the Occupancy and ADR graphs validate the current seasons?
    • Do the Occupancy and ADR graphs mirror each other? If not, why?
    • Do Occupancy trends between your property and competitors align? If not, why?
    • Do ADR trends between your property and competitors align? If not, why?
    • Do RevPAR trends between your property and competitors align? If not, why?
  4. Based on your assessment, you may identify opportunities to redefine some of your seasons.
  5. Keep in mind that hotel occupancy alone does not reflect total demand. It is important to compare occupancy trends with demand turndown data or booking inquiries declined to validate your findings.

A Few Important Facts About Seasons:

  • In many markets, weekday and weekend seasonality must be viewed separately depending on customer mix.
  • Season dates can be as short as a few days or as long as one year, but they must be contiguous.
  • Date ranges may start and end on any day of the week; however, many properties align rate changes with weekend or weekday cycles.
  • The number of seasons can vary by region, market, and property. Many resorts operate with four key seasons: Low, Shoulder, High, Shoulder.
  • Seasons may differ by customer segment (for example, transient versus group).
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Additional Demand: How Hotels Calculate it (Step-by-Step Guide)

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Additional Demand: How Hotels Calculate it (Step-by-Step Guide)




Table of Contents

Introduction

Hotels face the challenge of predicting how many rooms could have been sold if capacity or restrictions were not a limitation. Additional Demand is a powerful concept to uncover this missed opportunity. It shows both what was booked and what could have been booked. By using proven statistical methods like Projection–Detruncation Tau, revenue managers can optimize rates, manage inventory, and plan more effectively.

What is Additional Demand?

Additional Demand captures the full room requests for a given date, including sold rooms and the ones turned away due to restrictions or full occupancy. 

Example: A hotel with 100 rooms sold out but still received 20 more inquiries. The Additional Demand = 120, signaling pricing or strategy changes. It helps identify missed revenue and informs future capacity decisions.

How the Window Works

The algorithm uses a rolling window to review booking patterns. A window is written as X × Y × Z:

  • X = Number of arrival dates (often the same weekday)
  • Y = Days-before-arrival to include for each
  • Z = Total points (X × Y)

Example: A 3 × 5 × 15 window means 3 Tuesdays × 5 days-before each = 15 points. Suppose today is Aug 1 and you forecast Aug 27. It looks at Aug 13, Aug 20, and Aug 27 with bookings 23–27 days out. The window rolls daily for fresh data.

Example Calculations

By Aug 22, for arrival Aug 27, the window moves to 6–10 days before arrival. Updated points reflect the latest bookings and cancellations.

Arrival Date23 days24 days25 days26 days27 days
Tues 8/138/078/068/058/048/03
Tues 8/208/148/138/128/118/10
Tues 8/278/218/208/198/188/17

7 × 3 × 21 Window

Some hotels book late. A 7 × 3 × 21 window looks at 7 Tuesdays × 3 days-before each.

Arrival DateDay 1Day 2Day 3
Tues 7/166/266/276/28
Tues 7/237/037/047/05
Tues 7/307/107/117/12
Tues 8/067/167/177/18
Tues 8/137/237/247/25
Tues 8/207/307/318/01
Tues 8/278/068/078/08

Another Format

Arrival DateDateDateDateDateDate
Mon 5/165/115/105/095/085/07
Mon 5/235/185/175/165/155/14
Mon 6/66/15/315/305/295/28
Days left56789

Why the Window Rolls

Demand is fluid. Each day brings new bookings and cancellations. Rolling ensures forecasts always use the freshest data, avoiding outdated assumptions.

Holiday Adjustments

  • Holiday demand is treated separately.
  • Holiday points are excluded from normal days to prevent skew.

Case Studies

A beachfront resort noticed 15% unmet Saturday demand. By expanding its window and adjusting pricing, it captured more revenue. A downtown conference hotel used windows to manage last-minute cancellations. Each property found unique insights from Additional Demand.

Practical Tips

  • Align windows with booking behavior (short or long lead).
  • Maintain an updated holiday/event calendar.
  • Pair with metrics like Pick-up, Pace, and Market Share.
  • Visualize trends with BI tools or dashboards.

Conclusion

Additional Demand changes forecasting and pricing. It reveals hidden opportunities and helps build stronger revenue strategies. Whether boutique or resort, applying rolling windows and keeping data current is key to success.

Author: Ayman Salem — Hotel Revenue Management. Published: Aug 28, 2025

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