# This year's scorecard: benchmarks that define a good year
A luxury resort in Scottsdale posts 78% occupancy and calls it a soft year. A midscale hotel outside Columbus posts 68% and calls it the best year on record. Same industry, wildly different scorecards. If you don't know the benchmark ranges by segment, you can't tell a genuinely good year from a mediocre one dressed up in a good press release.
This lesson gives you the numbers that let you make that call.
Three metrics anchor almost every hotel performance conversation. Get comfortable with them because they show up in earnings calls, broker decks, and STR (Smith Travel Research, now part of CoStar) reports alike.
Occupancy: rooms sold divided by rooms available, expressed as a percentage. Simple utilization measure.
ADR (Average Daily Rate): total room revenue divided by rooms sold. What guests actually paid, on average, per occupied room.
RevPAR (Revenue Per Available Room): ADR multiplied by occupancy, or total room revenue divided by total available rooms. This is the industry's single most-watched KPIKPIKey Performance Indicator, a measurable value that shows how effectively you're achieving a specific objective, tracked over time against a target. () because it captures both pricing power and demand in one number.
Quick worked example: A 200-room hotel sells 150 rooms in a night at an average rate of $180.
Same hotel, different night: sells 180 rooms but discounts to $140 average.
Higher occupancy, lower RevPAR. This is the tension every revenue manager lives with daily: chasing occupancy can erode rate, and the wrong trade destroys value.
Based on STR/CoStar and Cushman & Wakefield reporting patterns through 2025 into 2026, here's roughly what "good" looks like by segment. Treat all figures as industry estimates, not precise actuals, since final-year numbers get revised for months.
US, full-year estimates:
By segment (US, rough current-year ranges):
Urban vs. resort:
Europe (estimates, per STR Europe / Hotstats-type reporting):
For live, granular numbers, STR/CoStar's hotel data hub and Cushman & Wakefield's hospitality research are the standard free-to-browse references professionals check monthly.
A single "industry RevPAR grew 2.5%" headline hides enormous dispersion. Three reasons segment-level reading matters:
1. Different demand drivers. Luxury and urban upper-upscale properties lean on corporate travel, group and convention bookings, and international inboundinboundA strategy that attracts prospects organically via valuable content (blog, SEO, social) rather than interrupting them.Voir la définition complète → visitors. Midscale and resort properties lean on domestic leisure and price-sensitive drive-to guests. A strong dollar or weak consumer sentiment hits these segmentssegmentsDividing a market into distinct groups of customers who share similar needs, characteristics or behaviours, so each group can be served with a tailored approach.Voir la définition complète → differently.
2. Different cost structures. Luxury hotels carry higher fixed costs (staffing ratios, F&B operations) so RevPAR softness hurts margins faster. This connects to GOPPAR (Gross Operating Profit Per Available Room), the metric that shows whether RevPAR gains actually reachreachThe number of unique people exposed to your message in a given period. Unlike impressions, reach counts each person once, no matter how often they see it.Voir la définition complète → the bottom line after payroll and utilities.
3. Supply growth varies by segment. Midscale and extended-stay brands (think Marriott's Fairfield Inn or Hilton's Home2 Suites) are where most new US construction pipelinepipelineAll active sales opportunities across the stages of the sales process, together with their combined potential value and probability of closing.Voir la définition complète → sits, per STR's pipeline data. More new rooms in a segment puts downward pressure on that segment's occupancy even if demand is healthy.
If you're evaluating a hotel asset, a brand's performance claims, or a market's health, run these checks before trusting a headline number:
Vérification des acquis
1. Why can a luxury resort's 78% occupancy be considered a 'soft year' while a midscale hotel's 68% occupancy is its 'best year on record'?
2. In the worked example, the hotel's occupancy rose from 75% to 90% but RevPAR fell from $135 to $126. What does this illustrate?
3. Why is RevPAR considered the industry's single most-watched KPI rather than occupancy or ADR alone?
4. Select ALL correct answers about the three core hotel performance metrics (occupancy, ADR, RevPAR).
Sélectionnez toutes les réponses correctes.
5. Select ALL correct answers about why the lesson emphasizes segment-specific benchmark ranges rather than a single industry-wide standard.
Sélectionnez toutes les réponses correctes.
Europe's hotel market is more fragmented than the US: independent hotels still hold a larger market sharemarket shareThe percentage of total industry sales your company captures in a given period. It measures competitive position relative to rivals in a defined market.Voir la définition complète → in cities like Rome or Lisbon compared to the heavily branded US landscape dominated by Marriott, Hilton, and IHG. This matters for benchmarking because STR's European comp sets often mix independents and branded properties more than US comp sets do, which can widen the reported performance range within a single city.
Also worth knowing: Europe's ADR is typically quoted in local currency or euros, and cross-border comparisons require currency-adjustment. A market that looks like it's outperforming the US in euro terms may look flat once converted to dollars if the euro has weakened. Always check whether a RevPAR growth figure is nominal, currency-adjusted, or inflation-adjusted before using it in a cross-market comparison.
🎬 [VIDEO: "How Hotels Set Room Prices (Revenue Management Explained)" - youtube.com/@STRglobal or search "STR revenue management explained" - a short explainer on how occupancy, ADR, and RevPAR interact in real hotel pricing decisions]