Revenue Management Terms

ADR — Average Daily Rate

Total room revenue divided by total rooms sold. If a hotel sold 60 rooms and generated INR 3,00,000, the ADR is INR 5,000. It measures rate performance only, not how many rooms were occupied. A hotel can have a strong ADR and still underperform on revenue if occupancy is low.

RevPAR — Revenue Per Available Room

ADR multiplied by occupancy percentage. The primary measure of overall room revenue performance because it captures both rate and volume in one number. Two hotels with identical ADR can have very different RevPARs if their occupancy differs. It is the benchmark most used in hotel performance comparisons.

GOPPAR — Gross Operating Profit Per Available Room

Total gross operating profit divided by available rooms. Unlike RevPAR, which only measures revenue, GOPPAR deducts all operating costs before calculating the per-room figure. It is the profitability metric that RevPAR cannot show. A hotel with strong RevPAR and weak GOPPAR is generating revenue but not retaining it.

NRevPAR — Net Revenue Per Available Room

RevPAR minus distribution costs. If a hotel has a RevPAR of INR 3,500 but paid an average INR 560 per room in OTA commissions to generate it, NRevPAR is INR 2,940. It shows how much room revenue actually reaches the hotel after paying for the channels used to acquire those bookings.

TRevPAR — Total Revenue Per Available Room

All hotel revenue including rooms, food and beverage, spa, events, and ancillary departments, divided by available rooms. Most relevant for full-service hotels and resorts where non-room revenue is a meaningful share of total commercial performance.

BAR — Best Available Rate

The lowest publicly available room rate on any given date, with no restrictions attached. All other rate types, packages, and promotional pricing are typically built as a percentage above or below BAR. It is the reference point for the entire rate structure.


OTA and Distribution Terms

OTA — Online Travel Agency

Any third-party platform that sells hotel rooms to guests and charges the hotel a commission per booking. In Indian markets, Booking.com, MakeMyTrip, Agoda, Goibibo, and Expedia are the five primary OTAs. Commission typically runs between 12 and 22% of the booking value.

Rate Parity

Maintaining the same publicly available room rate across all distribution channels. Most OTA contracts require it. Broad parity means the same rate everywhere. Narrow parity, increasingly common, requires rate consistency across OTAs but may allow the hotel to offer lower rates on its own direct channel.

Channel Manager

Software that connects a hotel's property management system to multiple OTAs simultaneously, synchronising rates, availability, and reservations in real time. Without one, every rate change requires a separate login to each OTA extranet. With one, a single rate change updates all connected channels within seconds.

Comp Set — Competitive Set

The group of hotels a property benchmarks against for pricing, occupancy, and performance comparison. OTAs also use comp set data algorithmically to assess whether a hotel's rates are competitive relative to similar properties in the same market.

GDS — Global Distribution System

A worldwide reservation network that distributes hotel rates to corporate booking tools and travel agencies. Amadeus, Sabre, and Galileo are the major platforms. Relevant primarily for business hotels with significant corporate demand from companies using managed travel programmes.

Metasearch

Platforms like Google Hotel Ads, Trivago, and Kayak that aggregate hotel rates from multiple OTAs and the hotel's own booking engine side by side. Guests see all rates in one view and choose where to book. Different from OTAs in that metasearch platforms direct traffic rather than processing the transaction themselves.


Booking and Demand Terms

Lead Time / Booking Window

The number of days between when a booking is made and the arrival date. Business travellers typically book within 7 days. Domestic Indian leisure guests typically book 2 to 4 weeks out. Families planning school holidays may book 4 to 8 weeks ahead. Knowing the lead time pattern for each segment determines when rate strategy should shift.

Pickup

The number of new bookings received for a specific future date within a defined window, usually the past 7 days. Pickup analysis tells the revenue manager whether a date is filling faster or slower than the historical pattern for that same date in prior years.

Booking Pace

How the current pickup rate compares to the historical pattern for the same dates in prior years. Pace ahead means bookings are arriving faster than last year. Pace behind means slower. Pace is the primary short-term signal for whether to hold or adjust rates.

Cancellation Rate

The percentage of bookings that are cancelled before the arrival date. High cancellation rates directly affect OTA ranking and signal problems with policy design, rate plan structure, or the gap between listing promises and guest expectations.


Operations Terms

MPI — Market Penetration Index

A benchmarking metric that compares a hotel's occupancy to the average occupancy of its comp set. An MPI above 100 means the hotel is capturing more than its fair share of available demand. Below 100 means the comp set is outperforming on occupancy.

RGI — Revenue Generation Index

Compares a hotel's RevPAR to the average RevPAR of its comp set. An RGI above 100 means the hotel is generating more revenue per available room than the competitive average. The combination of MPI and RGI shows whether performance gaps come from occupancy, rate, or both.

PMS — Property Management System

The central software system that manages reservations, check-in and checkout, room assignments, billing, and reporting for a hotel. Every other technology in the hotel stack, from the channel manager to the booking engine to the RMS, connects to the PMS as the source of record for all reservation data.

RMS — Revenue Management System

Software that analyses demand signals, competitive rates, and historical data to generate pricing recommendations. Basic systems produce suggested rates for the revenue manager to approve. Advanced systems push rate changes directly to the channel manager without requiring manual review.

Overbooking

Accepting more reservations than the total number of available rooms, typically to account for expected cancellations and no-shows. When managed correctly it maximises occupancy. When miscalculated, it requires walking guests to alternative properties, which is operationally expensive and reputationally damaging.

Day Use

A room booking for daytime hours only, without an overnight stay. Common at airport hotels, conference properties, and transit locations where guests need a room for a few hours between a morning checkout and an evening flight, or during a long layover.

The Terms That Confuse Most

ADR and RevPAR are the two that get mixed up most often. ADR is what the rooms that sold went for. RevPAR accounts for the rooms that didn't sell at all. A sold-out hotel and a half-empty hotel can have the same ADR. They cannot have the same RevPAR. Always read both together.


Frequently Asked Questions

ADR is total room revenue divided by rooms sold. RevPAR multiplies ADR by occupancy, so it captures both rate and volume. A hotel can have high ADR and low RevPAR if occupancy is poor, or high RevPAR with moderate ADR if the hotel fills most of its rooms. Always read both together rather than relying on either alone.
OTA stands for Online Travel Agency. These are platforms like Booking.com, MakeMyTrip, Agoda, Goibibo, and Expedia that list hotel rooms, handle bookings from guests, and charge the hotel a commission, typically between 12 and 22% of the booking value, for each confirmed reservation.
Rate parity means keeping the same publicly available room rate across all booking channels. Most OTA contracts require it. Violating parity by showing lower rates on your own website or on competing OTAs can trigger penalties including ranking suppression. The specific parity terms vary by OTA and contract, so it is worth reading your specific agreement rather than assuming all platforms have identical requirements.
Comp set stands for competitive set. It is the group of hotels a property compares itself against for pricing, review score, and performance benchmarking. OTA algorithms also use comp set comparisons to decide whether a hotel's rates are competitive. Identifying the right comp set on each platform is one of the first things to get right in any distribution audit.
BAR stands for Best Available Rate. It is the lowest publicly available room rate the hotel offers for a specific date, with no conditions attached beyond standard booking terms. It is the starting point from which discounts, packages, member rates, and promotional rates are built.
A channel manager distributes rates and availability to OTAs and keeps inventory synchronised. An RMS analyses demand signals and generates pricing recommendations. The two work together: the RMS decides what rates to set, and the channel manager distributes those rates to all connected platforms. Some properties use one without the other, but they address different parts of the distribution and pricing process.
GOPPAR is not better than RevPAR. It answers a different question. RevPAR measures room revenue productivity per available room. GOPPAR measures profitability per available room after all operating costs are deducted. A hotel can have excellent RevPAR and weak GOPPAR if its cost structure is heavy or its distribution costs are high. Both metrics are needed to understand the full financial picture.