To understand why the industry must move beyond RevPAR, we must first appreciate why RevPAR became so dominant. Introduced by STR approximately 25 years ago, RevPAR elegantly solved a critical measurement problem: how to compare hotel performance fairly across properties of different sizes and locations.4 By combining both occupancy rate and average daily rate into a single metric, RevPAR answered a fundamental question: are you filling rooms AND pricing effectively?

This was revolutionary. Before RevPAR, hotels compared raw revenue figures (meaningless across different-sized properties) or occupancy rates alone (ignoring pricing power). RevPAR changed the game because it was simple to calculate, easy to understand, and — critically — uniform across the industry. Public companies reported it quarterly. Analysts built valuation models around it. Brands benchmarked their properties against comp sets using RevPAR indexes. The entire revenue management discipline was built on the premise that optimizing RevPAR would maximize profitability.

There was logic to this reasoning. RevPAR is a leading indicator of profitability. When RevPAR rises, profit tends to rise as well. The metric works because it captures the two fundamental levers of hotel financial performance: how many guests you attract and what you charge them. For much of the 2000s and 2010s, RevPAR served its purpose well. The industry had stable labor costs, limited distribution channels to manage, and relatively predictable cost structures. In this context, optimizing RevPAR was a reasonable proxy for profit maximization.

The labor cost acceleration.

The most visible shift is labor costs. In 2024, U.S. hotels paid a record $123 billion in wages, salaries, and benefits — a 20% increase from 2019. This is not merely inflation; it represents a structural repricing of hospitality labor driven by acute shortages, union organizing, and aggressive wage negotiations in major markets.

The mathematics are stark. Labor costs per occupied room rose 2% to 11.2% in 2025, depending on property type and market. Wages themselves increased 5.9% year-over-year, but because hotels are managing labor more efficiently — cutting hours while improving productivity — the per-room impact varies. More troubling is the divergence by union status: unionized properties carry labor costs at 43% of revenue, compared to 33.5% at non-union hotels, a 9.5-point gap that has widened over the past five years.

Here is the profit consequence: for every dollar of incremental revenue, non-union hotels retain approximately $0.25 in profit. Unionized hotels lose a penny.9 The occupancy-driven RevPAR gain that delighted operators in 2021-2022 evaporated into labor costs by 2025.

Research further reveals that peak profitability is not achieved at maximum occupancy. Hotels see optimal profit margins between 65% and 70% occupancy. Beyond that threshold, the costs of servicing additional guests (housekeeping, front desk, maintenance) exceed the marginal revenue benefit.10 Yet RevPAR — and the incentive systems built around it — continues to reward occupancy maximization as an unqualified good.

Distribution costs and channel complexity.

The second structural shift is distribution. The rise of online travel agencies (OTAs) transformed hotel booking, but it came with a hidden cost structure that has accelerated significantly. OTA commission rates, paid search costs, and the need to maintain price parity across channels have created a dynamic cost layer that did not exist when RevPAR was designed.

Consider the mechanics: a hotel sells a $150 room to a guest through Booking.com, which takes a 15-20% commission. The hotel nets $120-127 in room revenue. RevPAR records $150 — the full gross revenue. The cost of that distribution channel is invisible in the RevPAR metric, yet it determines whether the booking is profitable at all. The same property's direct bookings — which carry lower or zero commission — contribute identical RevPAR but significantly higher profit. Yet RevPAR treats them identically.

By 2025, hotels face a more complex distribution landscape. Social commerce, metasearch, content-driven discovery, and direct channels create a portfolio of acquisition costs that vary wildly.11 The composition of RevPAR growth now matters far more than the magnitude. A property that grows RevPAR $10 through expensive OTA channel mix has a very different profit trajectory than one that grows RevPAR $10 through direct bookings and rate optimization.

Changing customer behavior and segment volatility.

Guest behavior has also fragmented. Where once the hotel industry could assume a relatively stable mix of business travel, leisure, and group, post-pandemic patterns are far more volatile and channel-dependent. Corporate travel, group business, and leisure arrivals cycle through different booking windows, commission rates, and service requirements. A resurgence in group and corporate travel has boosted top-line revenue, but it requires more labor to support on-site dining and catering — increasing CPOR without proportional RevPAR gains for full-service properties.

Luxury properties depend heavily on ancillary revenue (spa, dining, events) where the margin profile differs dramatically from room revenue. Yet RevPAR captures only room revenue. Extended-stay properties operate with fundamentally different cost structures (labor intensity: 1.30 hours per occupied room vs. 4.48 at resorts). A unified RevPAR comparison across these property types obscures more than it clarifies.

The real trap of RevPAR optimization is that it allows, even encourages, profit deterioration while celebrating revenue growth. Historical data provides a cautionary example: in 2019, U.S. hotels achieved a record occupancy rate of 66%, yet operating profits declined as costs outpaced revenue growth.14 The industry was winning at RevPAR and losing at profitability simultaneously.

This paradox becomes visible when comparing RevPAR to GOPPAR. While the two metrics are highly correlated (r = 0.91 in empirical research), the relationship is nonlinear and has become increasingly divergent in recent years. When RevPAR rises $5, GOPPAR does not rise $5. It rises $7.50 to $10 — or it can fall — depending on the composition of the revenue gain and cost structure of the property.

The implication is unavoidable: not all RevPAR gains are created equal. Yet the industry standard metric treats them identically. Revenue managers optimize RevPAR. Leadership bonuses are tied to RevPAR. Comp sets are ranked by RevPAR. The entire incentive structure pushes toward a metric that increasingly fails to predict or drive profit.

Duetto's strategic pivot from revenue maximization to profit maximization reflects a maturing understanding of what drives true hotel value. This shift is not semantic; it is architectural. It requires a new set of primary metrics, supported by secondary indicators, that together paint an honest picture of financial performance.

Gross operating profit per available room (GOPPAR).

GOPPAR = (Total Revenue – Operating Expenses) ÷ Available Rooms16

GOPPAR is RevPAR's essential complement. Where RevPAR captures revenue efficiency, GOPPAR captures profitability efficiency. A hotel generating $150 RevPAR with $80 GOPPAR is financially healthier than one with $160 RevPAR but only $70 GOPPAR, yet RevPAR alone suggests the opposite.

GOPPAR accounts for all operating expenses — labor, utilities, supplies, distribution costs, technology, maintenance, and insurance — and measures the absolute profit available per room before capital costs and taxes. It reflects operational execution across the entire property, not just rooms revenue. Critically, it reveals when cost increases are outpacing revenue growth, a warning signal that RevPAR misses entirely.

In a labor-constrained environment, GOPPAR exposes whether staffing decisions are sustainable. A hotel operating at 85% occupancy with 2.5 hours of labor per occupied room (HPOR) and low GOPPAR is signaling that it cannot achieve profitability at that labor intensity. GOPPAR makes the tradeoff between occupancy and labor cost impossible to ignore.

Cost per occupied room (CPOR).

CPOR = Total Operating Costs ÷ Number of Occupied Rooms17

CPOR shifts focus from all available rooms to only occupied rooms, acknowledging that empty rooms generate no revenue and should not absorb the same analytical weight. A mid-scale hotel might target a CPOR of $40-65 per occupied room.18 This metric directly answers: what does it cost us to service a guest?

CPOR is actionable in ways RevPAR is not. It illuminates the consequences of staffing decisions, supply chain costs, and labor scheduling. If CPOR rises 10% while RevPAR rises 3%, the property is losing margin — a fact RevPAR alone would obscure. CPOR paired with revenue per occupied room (RevPOR) reveals whether pricing power is sufficient to offset cost inflation.

For labor management — the defining operational challenge of 2025-2026 — CPOR is indispensable. Hours per occupied room (HPOR) decomposition shows that guest services hours fell 13.5%, housekeeping 7.1%, and management 14.6% in the first nine months of 2025. This efficiency emerged as a direct response to labor cost pressure — but RevPAR alone never signaled that pressure existed.

GOP index and revenue index benchmarking.

The RevPAR Index is calculated as: (Subject Property RevPAR ÷ Competitive Set Average RevPAR) × 100

This same framework applies to GOP:

GOP Index = (Subject Property GOP ÷ Competitive Set Average GOP) × 10020

A hotel might have a RevPAR Index of 105 (5% ahead of comp set on revenue) but a GOP Index of 98 (2% behind on profit). This divergence is diagnostic. It suggests the property is winning on price and occupancy strategy but losing on cost control. Conversely, a property with a 95 RevPAR Index and 102 GOP Index is demonstrating operational excellence — doing more with less, extracting profit from a lower-revenue base.

Competitive benchmarking has historically used RevPAR as the primary lens. The new standard must integrate both metrics. A comp set analysis that ignores GOP Index is fundamentally incomplete, particularly in a market where labor and cost structures vary significantly.

Total revenue per available room (TRevPAR).

TRevPAR = (Room Revenue + F&B + Spa + Ancillary + Other) ÷ Available Rooms21

For amenity-rich properties — resorts, convention hotels, full-service city properties — room revenue represents only a portion of total revenue. TRevPAR captures this fuller picture and prevents margin-destroying decisions driven by optimizing room revenue alone. A resort might sacrifice room RevPAR to maximize food and beverage revenue, a tradeoff that benefits total profitability but penalizes pure room optimization.

TRevPAR is less of a replacement for RevPAR and more of a required supplemental metric for property types where ancillary revenue exceeds 20-30% of total revenue.

The reason this metric evolution is possible — and necessary — in 2026 is technological. For decades, GOPPAR and CPOR were complex to calculate and slow to distribute. Comp sets operated on STR data, which captured RevPAR reliably, there was no real equivalent for Profit

Duetto's Hotstats can now capture, aggregate, and distribute GOPPAR, GOP Index, and CPOR at near real-time speed across entire portfolios and competitive sets. For the first time, a hotel can see not only how it ranks on RevPAR within its market, but how it ranks on profitability. A property manager can view labor intensity, cost per occupied room, and profit margins alongside competitors and identify opportunities for operational improvement that RevPAR never exposed.

This capability shifts the conversation from “How do we maximize revenue?” to “How do we maximize profit within our market position?” It enables revenue managers to say: “Raising occupancy by 5% will add $3 in RevPAR but cost us $4 in additional labor; our GOPPAR declines. Instead, we should raise ADR by 4%, preserve labor levels, and deliver $4 to the bottom line.”

Without this technology and these metrics, revenue managers optimize blind.

The acceleration of labor costs is the primary catalyst for this metric transition. The data is unambiguous: labor defined hotel performance more than any other cost category in 2025.22 Hotels that entered the year expecting strong revenue growth encountered demand that underperformed by 500–1,400 basis points, while labor costs remained elevated and inflexible in the short term.

The response was not to cut headcount but to redeploy labor — reducing hours per occupied room, improving productivity (room attendants became 5.5% faster, guest services 12.7% faster), and linking forecasting directly to demand.23 These were fundamentally operational moves, not revenue moves. They revealed that labor efficiency is now as important as rate strategy — a statement that could never emerge from RevPAR analysis alone.

Looking forward to 2026, the hotels that will outperform are those that connect labor directly to demand and deploy staff dynamically.24 This requires visibility into HPOR, CPOR, and GOP margin by segment and day of week. RevPAR provides none of this. GOPPAR and CPOR provide all of it.

Recognizing that the industry needs a new metrics framework is intellectually straightforward. Implementing it is organizationally daunting. RevPAR has been the standard for three decades. Comp sets are built around it. Industry consultants use it. Brands mandate it. Analysts expect it. The entire revenue management profession was trained on RevPAR optimization.

But measurement frameworks are not permanent fixtures; they are tools. When conditions change faster than tools can accommodate, tools must change. The hotel industry has undergone profound structural shifts in the past decade:

• Labor costs have risen 20% and become inelastic in the short term
• Distribution costs have fragmented across OTA, metasearch, social, and direct channels
• Guest behavior has become more volatile and channel-dependent
• Property type diversity has expanded (lifestyle, extended stay, co-living properties)
• Technology infrastructure now enables real-time profit metric aggregation

Under these conditions, optimizing RevPAR is optimizing an incomplete picture. It is like driving a car using only the speedometer while ignoring fuel consumption, engine temperature, and road conditions. You might be going fast, but you might crash.

The siloed measurement does not work anymore because the hotel business is no longer siloed. What happens in revenue (channel mix, occupancy level, rate strategy) directly impacts cost (labor, distribution, utilities). A metric that captures only the revenue side while ignoring the cost side is incomplete by design.

The transition to profit-centric metrics requires three parallel shifts:

Measurement standardization.

Duetto and Hotstats have already done the heavy lifting, providing a balanced scorecard framework that treats RevPAR and GOP Index as co-primary metrics, with CPOR and TRevPAR as essential secondaries, depending on property type. Comp set benchmarking includes all four, enabling properties to see where they stand on both revenue and profit relative to competitors.

Technology integration.

Often if a hotel wants their data integrated, they have to go through either complex integration processes that are slow and expensive, or single-source their technology stack onto a vendor that integrates the data into one platform. There is another alternative now; Duetto can do the heavy lifting — combining key data from the systems you already own to capture, aggregate, and surface profit metrics with the same sophistication currently applied to RevPAR.

Incentive realignment.

Leadership bonuses, revenue manager compensation, and brand reporting metrics should shift from RevPAR alone to a balanced framework. If the hotel industry genuinely cares about profit, the people running hotels should be measured on profit. This is not radical; it is obvious. Yet it requires a collective reset of how the industry thinks about success.

These shifts together are a new way of thinking and operating for many hoteliers. We call this performance engineering — the new discipline for managing overall hotel performance.

For three decades, the hotel industry measured revenue per available room and managed toward it. The metric served a purpose in a stable, predictable operating environment. But that environment no longer exists. Labor costs are inflexible and rising. Distribution costs are fragmented and opaque. Guest behavior is volatile. Operating efficiency is the new competitive advantage.

In this world, maximizing RevPAR while minimizing profit is a route to failure. It is entirely possible — and increasingly common — for a hotel to achieve record RevPAR while watching margins compress.

The alternative is profit-centric management — or what we call performance engineering. It means measuring GOPPAR with the same rigor previously applied to RevPAR. It means understanding CPOR and labor intensity as core operational signals. It means benchmarking on GOP Index, not RevPAR Index alone. It means using technology to provide this visibility at speed — and scale.

Duetto's shift from revenue maximization to profit maximization is not a rebrand; it is a recalibration of the industry's entire analytical framework. For the first time, hotels can measure what truly matters: profit. The question is whether they will.