A hotel generates data constantly — every booking, cancellation, room service charge, and check-in adds to a growing record of how the property is performing. The value of a property management system’s reporting capability isn’t just that it stores this data, but that it surfaces the right metrics clearly enough for a general manager to make timely, informed decisions. This guide organizes the key performance indicators worth tracking regularly, grouped by operational area.
Occupancy and Demand Metrics
Occupancy rate — the percentage of available rooms sold, tracked daily, weekly, and monthly to identify patterns and anomalies.
Booking pace — how reservations for a future date compare to historical booking patterns at the same lead time, an early signal for demand strength or weakness.
Lead time — the average gap between booking date and arrival date, useful for understanding how far in advance guests are planning and adjusting marketing accordingly.
Length of stay — average nights per booking, which affects both revenue planning and housekeeping scheduling.
Cancellation rate — the percentage of bookings cancelled before arrival, worth monitoring by channel since cancellation behavior often varies significantly between OTAs and direct bookings.
No-show rate — reservations where guests never arrive without formally cancelling, relevant for overbooking strategy and revenue forecasting accuracy.
Revenue Metrics
Average Daily Rate (ADR) — total room revenue divided by rooms sold, the core pricing performance indicator tracked across nearly every hotel reporting dashboard.
Revenue Per Available Room (RevPAR) — combining occupancy and rate into a single figure that reflects overall room revenue performance regardless of whether gains come from higher occupancy or higher rates.
Gross Operating Profit Per Available Room (GOPPAR) — extending RevPAR further by factoring in operating costs, giving a clearer picture of actual profitability rather than top-line revenue alone.
Total revenue per available room — incorporating non-room revenue like F&B and spa alongside room revenue, particularly relevant for resorts and full-service properties.
Revenue by channel — breaking down where bookings originate (direct, OTA, corporate, group) to understand channel mix and commission impact on net revenue.
Rate variance — comparing achieved rate against the originally forecasted or budgeted rate, useful for evaluating revenue management strategy effectiveness over time.
Distribution and Channel Metrics
Channel contribution — the percentage of total bookings and revenue coming from each distribution channel, tracked through the channel manager connected to the PMS.
Direct booking ratio — the share of reservations coming through the hotel’s own booking engine and website versus third-party platforms, a key indicator of commission exposure.
Rate parity compliance — whether rates remain consistent across channels as configured, since parity issues can affect OTA search ranking and guest trust.
Conversion rate on direct channel — the percentage of website visitors who complete a booking, a useful metric for evaluating booking engine performance and website effectiveness.
OTA commission cost — the total value paid in commissions across channels, worth reviewing regularly against the marketing value each channel actually delivers.
Front Desk and Operational Metrics
Check-in and check-out time — average time guests spend at the front desk during arrival and departure, an indicator of process efficiency and staffing adequacy.
Walk-in conversion rate — the percentage of walk-in inquiries that convert to bookings, relevant for properties in high-traffic locations.
Upsell rate — how often front desk staff successfully upgrade guests to higher room categories or add-on services during booking or check-in.
Guest complaint volume and resolution time — tracked through front desk logs or a connected guest service system, an early indicator of service quality issues before they affect review scores.
Housekeeping and Maintenance Metrics
Room turnaround time — how long it takes housekeeping to prepare a room for the next guest after checkout, directly affecting how quickly inventory becomes sellable again.
Rooms cleaned per staff hour — a productivity metric useful for staffing and scheduling decisions.
Maintenance request volume and resolution time — tracking how quickly reported issues get addressed, relevant both for guest experience and asset preservation.
Out-of-order room percentage — the share of inventory unavailable due to maintenance issues, which directly reduces sellable capacity if not managed proactively.
Guest Experience and Loyalty Metrics
Guest satisfaction score — typically drawn from post-stay surveys or review platform integration, tracked over time to identify trends.
Repeat guest rate — the percentage of bookings coming from guests who have stayed previously, an indicator of loyalty and service quality.
Review score and volume — tracked through a connected review and reputation management system, since review performance increasingly affects both booking conversion and OTA search visibility.
Financial and Back-Office Metrics
Accounts receivable aging — relevant for properties handling significant corporate or group billing, tracking how promptly outstanding balances are collected.
Departmental profit margins — breaking down profitability by department (rooms, F&B, spa) rather than relying solely on overall property performance.
Putting KPIs to Practical Use
Tracking thirty metrics doesn’t mean reviewing all of them daily. Most general managers focus on a smaller core set — occupancy, ADR, RevPAR, and channel mix — for daily or weekly review, while reserving deeper metrics like departmental profitability or guest satisfaction trends for monthly strategic review.
The value of a strong property management system reporting module is that it surfaces these metrics automatically, without requiring manual data compilation from separate systems. When occupancy, revenue, distribution, and operational data all live within the same connected platform, building a comprehensive KPI dashboard becomes a matter of configuration rather than time-consuming manual reporting work every week.
