Your bonus is tied to the wrong number.

There is a reasonable chance that the people running hotel revenue strategy today are being rewarded for doing the wrong thing. Not because they are bad at their jobs. Because the job is defined around a metric that no longer points in the right direction.

That metric is RevPAR. And the system built around it — performance reviews, brand reporting, management contracts, analyst coverage — has not kept pace with a fundamental shift in what drives hotel profitability.

Labor costs. That is the shift. And it changes everything.

The labor numbers.

US hotels paid a record $123 billion in wages, salaries, and benefits in 2024. That is a 20% increase from 2019. It is not a post-pandemic blip. It is a structural repricing of hospitality labor driven by shortages, union organization, and wage competition in major markets.

The consequence shows up in a figure most RevPAR dashboards never display: labor costs at unionized properties now consume 43% of revenue. At non-union hotels, the figure is 33.5%. That nine-point gap has widened over five years. And here is what it means in practice: for every additional dollar of revenue, a unionised hotel retains approximately nothing in profit. A non-union hotel retains about $0.25.

Revenue goes up. The labor required to service that revenue goes up too. RevPAR captures the first part. It is blind to the second.

The occupancy-driven RevPAR gain that looked great in the board deck evaporated into labor costs before it hit the bottom line.

The occupancy trap.

Here is a finding that upends one of revenue management's most basic assumptions. Peak hotel profitability is not achieved at maximum occupancy. Research suggests the optimal range is 65–70%. Beyond that, the marginal cost of servicing additional guests — housekeeping, front desk, maintenance, F&B — exceeds the marginal revenue those guests generate.

RevPAR rewards occupancy as an unqualified good. Chase occupancy, the metric goes up, performance looks strong. But if you are running at 85% with heavy labor deployment and your CPOR (Cost Per Occupied Room) is rising faster than your ADR, you are burning margin while the dashboard shows green.

The hotels that figured this out first stopped chasing occupancy above a threshold and started focusing on rate and channel quality. They accepted slightly lower occupancy and meaningfully better GOPPAR. That trade-off is invisible in RevPAR. It shows up clearly when you measure Cost Per Occupied Room alongside revenue.

What CPOR tells you that RevPAR cannot.

CPOR is a simple metric: total operating costs divided by occupied rooms. It tells you what it costs to service a guest. Track it over time and you know whether labor and operational efficiency are improving or deteriorating. Compare it to ADR and you know whether your pricing power is outpacing your cost base. Compare it to your competitive set and you know whether your operations are stronger or weaker than the hotels around you.

In 2025, CPOR became arguably the most important metric in hotel operations. Labor costs per occupied room rose between 2% and 11.2% depending on market and union status. In that environment, a hotel that grew RevPAR 5% but saw CPOR rise 8% had a bad year by any honest measure. A hotel that grew RevPAR 3% and held CPOR flat had a considerably better one. RevPAR ranks the first hotel higher. GOPPAR tells the truth.

The incentive misalignment is not an accident.

Revenue management as a discipline was built around RevPAR because RevPAR was measurable, comparable, and a reasonable proxy for profitability in a stable-cost environment. The discipline grew sophisticated. The software got better. The strategies got more nuanced. But the fundamental incentive structure — measure RevPAR, reward RevPAR, report RevPAR — stayed the same.

That structure is now producing the wrong behavior. Not dramatically wrong. Subtly wrong, in ways that accumulate over quarters and years. Revenue teams pursue occupancy that erodes margin. Pricing decisions are made without visibility into channel cost. Labor is deployed to service demand without a clear line to whether that demand was profitable. None of this shows up in RevPAR until margins have already compressed.

Fixing the incentive requires changing the measurement. Not abandoning RevPAR — it remains a useful signal — but placing it alongside GOPPAR and CPOR as co-primary metrics.

This is the shift from managing the top line to engineering overall performance. It means your entire commercial team — revenue, sales, F&B, operations — sees the same profit-focused dataset and is evaluated against the same profit outcomes, not isolated revenue metrics. If GOPPAR is on the dashboard, it gets managed. If GOP Index is part of the performance review conversation, it gets chased. If labor deployment is connected to a forecasted profit impact, not just occupancy, the decision-making changes. The metric shapes the behavior. The measurement framework shapes the incentive. Align both to profit, and you align the entire organization to what actually matters. This operational shift is what we call performance engineering. 

If the people running your hotel are only measured on RevPAR, they will optimize for RevPAR. Even when that means leaving profit on the table.

Labor efficiency is a revenue management problem now.

The most operationally sophisticated hotels are not just managing rates. They are managing the relationship between demand and labor deployment. Forecasting that shows which dates will require heavy staffing versus light staffing. Pricing strategies that prioritize rate over occupancy in labor-constrained periods. Channel mix decisions that factor in the cost of distribution alongside the cost of servicing.

This is what profit-centric revenue management looks like in practice. It connects the commercial decision to the operational consequence and uses both sides of the equation to make better choices. GOPPAR and CPOR are not abstract accounting metrics — they are the feedback loop that makes that kind of decision-making possible.

The industry has the data it needs to do this. What it has lacked is the measurement framework to make it visible, and the organizational alignment to act on it. That framework now exists. The question is whether hotels will adopt the discipline of performance engineering — building the dataset, mindset, and toolset to measure profit and operate around it — before the margin gap gets any wider.