Frequently Asked Questions

Who is Joe Pettigrew?

Joe Pettigrew is the Group Chief Commercial Officer at L+R in London, responsible for commercial strategy across a £7B global portfolio of 113 hotels. He spent nearly 11 years inside the Starwood Capital Group ecosystem, rising from Head of Ecommerce at a portfolio company to Chief Commercial Officer and SVP of Hotel Asset Management across 1,000+ hotels globally. He is the creator of The Hotel Commercial OS and Inverse Distribution Theory. He serves on hospitality technology advisory boards for Oracle and Sabre, and his commentary focuses on connecting macroeconomic events, AI developments, and geopolitical shifts to their direct impact on hotel operations and asset value.

What is the Hotel Commercial OS?

The Hotel Commercial OS is an integrated commercial operating model created by Joe Pettigrew. It solves a structural problem in hotel management: revenue management, sales, distribution, marketing, brand, and guest experience typically operate as separate departments with separate KPIs. This fragmentation costs hotels NOI. The Hotel Commercial OS replaces siloed functional management with a unified governance model where every commercial decision is evaluated against its impact on net operating income and asset value. The full framework is at The Hotel Commercial OS.

What is Inverse Distribution Theory?

Inverse Distribution Theory is a thesis developed by Joe Pettigrew that explains how AI changes the logic of hotel distribution. In the traditional model, awareness came first through OTAs, search, and intermediaries. The traveller did the filtering. In an AI mediated market, the funnel inverts: consideration moves first because the AI qualifies viable options before the traveller sees them, experience becomes the primary differentiator among qualified options, and awareness becomes the downstream outcome of being selected into a narrow recommendation set. The full thesis is at Inverse Distribution Theory.

How do oil prices affect hotel profitability?

Oil prices affect hotel profitability through multiple transmission channels. The direct cost impact is energy (5-8% of total operating costs for a full-service hotel). But the indirect effects are larger.

When oil prices rise, airline fuel costs increase, leading to higher airfares, reduced route capacity, and route cancellations. A resort destination that loses a daily flight from a key feeder market can see meaningful RevPAR erosion within weeks.

Oil prices also function as an inflation indicator. Sustained high prices feed into broader consumer price inflation, eroding leisure travel demand and increasing operating costs across food and beverage, laundry, and supply chain. For hotel investors, oil price spikes compress NOI from both sides: demand softening and cost escalation.

How will AI change hotel distribution?

AI changes hotel distribution by replacing the search-and-browse model with recommendation. Today, a traveller gets 200 results on an OTA. Tomorrow, they ask an AI agent for a specific request and get 3-5 picks. No listing page. No sponsored placements.

This changes the funnel order. The AI qualifies hotels first (data clarity, availability, price fit, policy compatibility) before the traveller sees anything. Then experience quality determines recommendation strength. Hotels that are easy to interpret and genuinely distinctive get recommended. Hotels that are vague or undifferentiated are invisible. The full thesis is at Inverse Distribution Theory.

What is owner-led governance in hotel asset management?

Owner-led governance means the hotel ownership group takes active responsibility for defining the commercial strategy of the asset, rather than delegating that entirely to the management company. Owners set the commercial thesis, define the NOI target, approve the strategic direction, and hold the operator accountable to integrated commercial results.

In practice: the ownership group establishes the target guest profile, acceptable distribution cost ratio, rate positioning, and NOI floor. The operator executes within those parameters. Reviews focus on integrated outcomes (NOI, distribution cost, guest acquisition cost) rather than departmental metrics. This is a core principle of The Hotel Commercial OS.

How do interest rates affect hotel asset values?

Interest rates affect hotel asset values through three mechanisms. First, cost of capital: when rates rise, debt service increases and refinancing becomes more expensive. A hotel generating $2M NOI at a 6% cap rate is valued at ~$33M. If the buyer’s cost of debt rises from 5% to 7%, the cap rate adjusts upward and value compresses.

Second, demand: rate increases erode consumer spending power. Corporate budgets tighten. Leisure travellers trade down. This pressures RevPAR, then NOI, then asset value.

Third, transaction volume: expensive financing means fewer deals close, fewer comparable sales exist, and valuation uncertainty increases. The operator’s response: protect NOI relentlessly. Cut distribution cost. Shift to direct bookings. NOI resilience separates hotels that maintain value from those that get repriced.

What is demand rerouting in hotel markets?

Demand rerouting occurs when external events force travel demand to shift from one market to another. Geopolitical conflict, airline route changes, visa policy shifts, currency movements, and pandemic restrictions can all reroute demand on short notice.

When conflict disrupts travel to a region, demand doesn’t disappear. It reroutes to perceived-safe alternatives. When a currency appreciates, budget-sensitive travellers shift to neighbours with favourable exchange rates. When an airline adds a new direct route, destination hotels see a step-change in demand.

Most revenue management teams forecast based on historical patterns. Demand rerouting is a forward-looking phenomenon. Hotels that monitor geopolitics, airline schedules, visa policies, and currency markets can capture rerouted demand at higher rates because they see it coming before the market adjusts.

How can hotels improve NOI?

Hotels improve NOI by managing revenue and cost as one integrated system rather than optimising each in isolation. The highest-leverage moves are distribution cost reduction (shifting demand from high-commission OTA channels to lower-cost direct bookings), rate integrity (eliminating unnecessary discounting that erodes ADR without generating incremental demand), and guest experience investment that creates pricing power and repeat business. Most hotels focus on growing revenue. The ones that outperform focus on growing net revenue after distribution cost, which is a fundamentally different optimisation problem. The Hotel Commercial OS was built to solve this.

What is hotel distribution cost and why does it matter?

Hotel distribution cost is the total cost of acquiring a booking through a given channel. An OTA booking typically costs 15-22% in commission. A direct website booking might cost 3-5% in marketing and technology. A repeat guest booking through CRM costs close to zero. The blended distribution cost ratio across all channels directly impacts NOI. Two hotels with identical RevPAR can have materially different profitability based entirely on their channel mix. A hotel running 60% of bookings through OTAs at 20% commission has a structurally different P&L than one running 35% OTA at the same commission. Distribution cost is one of the largest controllable expenses in a hotel, yet most operators manage it reactively rather than strategically.

How does RevPAR relate to hotel asset value?

RevPAR (revenue per available room) is the standard performance metric in hospitality, but it is a revenue measure, not a profitability measure. Two hotels can have identical RevPAR and very different NOI because one has a lower distribution cost, more efficient staffing, or better flow-through from revenue to profit. Hotel asset values are determined by NOI and cap rate, not by RevPAR directly. A hotel that grows RevPAR by 5% through OTA promotions at 22% commission may actually decrease NOI. A hotel that grows RevPAR by 3% through direct channels at 4% cost may increase NOI more. The connection between RevPAR and asset value runs through NOI, and the quality of the revenue matters as much as the quantity.

How do geopolitical events affect hotels?

Geopolitical events affect hotels through demand rerouting, supply disruption, cost escalation, and investor sentiment. When conflict disrupts a travel corridor, demand doesn’t disappear. It shifts to perceived-safe alternative destinations, often within weeks. Currency movements driven by geopolitical instability change the relative cost of travel between countries, redirecting price-sensitive travellers. Trade policy and visa restrictions alter business travel patterns. Energy market disruptions driven by conflict feed into operating costs and airfares. The hotels that respond fastest to geopolitical signals can capture rerouted demand at premium rates before the market adjusts. The hotels that wait for the impact to show up in booking pace data are already too late.