The Real Cost of Running Revenue, Distribution, and Marketing in Silos
A revenue manager pushes ADR up by 4%. The distribution manager opens three new OTA channels to fill soft dates. Marketing runs a brand campaign that drives awareness but shifts the booking mix toward lower-rated segments. Guest experience changes the breakfast offering without telling revenue that the rate fence justifying the premium room category just disappeared.
Every function delivered against its own KPIs. The hotel’s NOI went backwards.
I’ve seen this pattern in hundreds of hotels across every continent. It’s not a people problem. The revenue manager is good. The marketing team is competent. The distribution manager knows the channel landscape. The failure is structural. These functions operate as independent departments with separate reporting lines, separate budgets, separate definitions of success, and no shared accountability for the number that actually matters: net operating income.
Three Illustrative Examples
These are composites drawn from real situations I’ve encountered across multiple portfolios. The numbers are representative, not exact.
Example 1: The ADR chase that destroyed flow-through. A 250-room full-service hotel in a major European city. Revenue management pushed ADR up 6% year over year by restricting inventory on OTAs and forcing rate through the direct channel. On paper, a strong result. In practice, the marketing team spent €180,000 on a direct booking campaign to support the strategy, distribution costs only dropped marginally because the OTA contracts had minimum volume commitments, and occupancy fell 4%. Net revenue was up modestly. Marketing cost was up significantly. NOI was flat. The revenue manager hit their KPI. The hotel didn’t hit its budget.
Example 2: The channel expansion that inflated costs. A resort property opened five new distribution channels in Q1 to address a forecasted occupancy gap in shoulder season. It worked. Occupancy came in above forecast for April and May. But the new channels carried average commissions around 22%, compared to the existing channel mix closer to 16%. The incremental revenue came at such a high distribution cost that the GOP margin on those bookings was below 20%. The distribution manager’s KPI was occupancy recovery. They delivered. The incremental revenue destroyed margin.
Example 3: The guest experience upgrade that broke rate integrity. A lifestyle hotel invested in upgrading its F&B concept. New restaurant, new bar menu, new chef. The guest experience team drove the project, and the results were strong. Review scores went up. Social media engagement increased. But nobody told the revenue manager to reprice the room categories that now included access to a significantly better F&B offering. The hotel left meaningful incremental rate value on the table for months before anyone connected the dots.
Why This Keeps Happening
The siloed model persists because it mirrors how hotel management companies are organised. Most brands and operators have a VP of Revenue Management, a VP of Marketing, a VP of Distribution, and a VP of Guest Experience. Each has their own team, their own budget, their own bonus structure. They coordinate through meetings. Sometimes those meetings work. Often they don’t.
This isn’t universal. Some hotels coordinate effectively across functions through revenue committees, shared P&L accountability at the GM level, or strong operational leadership. Major brand-managed properties can perform well with separate functions when the GM drives genuine integration. But these are the exceptions, and they depend on individual leadership rather than structural design. When the strong GM leaves, the coordination breaks down.
The more common pattern is that each leader optimises for their own metrics. Revenue and distribution are in permanent tension. Revenue wants rate. Distribution wants volume. Marketing drives demand from segments revenue didn’t forecast. Guest experience changes the product without pricing implications being assessed. You can improve coordination with better communication, but you can’t fix a structural problem with process alone if the incentive structure remains unchanged.
The NOI Impact
Across portfolios I’ve managed, the hotels that run integrated commercial functions consistently outperform those that don’t. In my experience, the gap is typically 200 to 400 basis points of NOI margin. On a hotel generating $5 million in NOI, that’s $100,000 to $200,000 per year. Apply a 7% cap rate and it translates to $1.4 to $2.9 million in asset value.
I should be honest about the limitations of this observation. Hotels that adopt integrated models tend to be the ones with stronger management and more engaged ownership. The structure itself isn’t the only variable. But I’ve seen the same hotels improve by 150 to 250 basis points after restructuring from siloed to integrated functions, with the same GM and the same market conditions. That suggests the structure matters independent of management quality.
The gap widens in volatile markets. When demand shifts quickly, integrated teams adjust in days. They move rate, shift channel mix, and reallocate marketing spend as a coordinated response. Siloed teams take weeks because each function processes the change independently and then negotiates a response.
The Fix Is Structural
This is the problem the Hotel Commercial OS was built to solve. Instead of separate functions with separate leadership and separate KPIs, you create one integrated commercial function with one leader, one strategy, and one target: NOI growth and asset value creation.
Revenue management, distribution, marketing, and guest experience become components of a single operating system. Rate decisions account for distribution cost. Marketing spend is evaluated on NOI contribution, not ROAS. Channel strategy is set by the commercial team, not negotiated between revenue and distribution. Product improvements are priced before they’re launched.
This isn’t the only way to solve the coordination problem. Strong GM-led integration works in some properties. Revenue committees can help. Shared incentive structures can align behaviour. The Hotel Commercial OS is one structural approach. But the principle is consistent regardless of the specific model: commercial functions in a hotel are interdependent. Managing them independently guarantees suboptimal outcomes. The only question is how much NOI you’re leaving on the table.
For most hotels, the answer is more than they think.
Related reading: How energy costs flow through to hotel P&Ls and why your hotel is already invisible to AI trip planners.

Joe Pettigrew
Group Chief Commercial Officer, L+R
20 years in hotel commercial strategy across 1,000+ properties. Previously Starwood Capital Group, YOTEL, and EOS Hospitality. Creator of The Hotel Commercial OS and Inverse Distribution Theory.
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