Hotels Must Stop Chasing Revenue and Start Measuring Profit
Hoteliers are measuring success by the wrong metric. RevPAR - revenue per available room - dominates the sector's thinking, but it ignores commissions, discounts, and operational costs that determine whether a booking actually makes money.
This gap between revenue and profit became the central argument at Food Hotel Tech 2026 in Paris, where hospitality technology leaders discussed how AI can help hotels move beyond topline growth. The net average rate - a measure that accounts for distribution, marketing, and financial costs - reveals a harder truth: some extra sales destroy value.
Opening a floor or calling in additional staff creates threshold effects that can turn a profitable booking into a losing one. "More often than you think," extra sales don't improve the bottom line.
Direct Bookings Generate More Revenue Than OTA Sales
Customers who book directly spend differently than those who arrive through online travel agencies. Direct bookers choose premium room types more often, extend their stays longer, and spend more on extras like dining and spa services.
Direct bookings generate on average 65% more revenue than OTA bookings when excluding commission costs. That gap widens when considering cancellation rates and repeat business. Direct customers show higher loyalty, fewer cancellations, and bigger spending baskets.
The cost of OTA commissions extends far beyond the headline percentage per booking. Hotels pay for visibility, placement, and the distribution infrastructure itself - costs that reduce margins even on successful sales.
Conversational AI Is Changing How Travelers Discover Hotels
A growing share of travelers now plan trips using conversational assistants and large language models. Younger guests show this behavior even more strongly. For hotels, this shift means appearing in LLM responses requires new work: structured content, reliable information, and precise answers to contextual queries.
Hotels need to expose their data through an MCP server - a technical layer that limits agent errors and enables long, context-aware conversations. This infrastructure shift sits outside traditional OTA and search engine optimization strategies.
The goal is not to abandon OTAs but to arbitrage across channels. OTAs remain the first place many travelers search, but 20% of those who start on OTA sites finish their bookings direct - and that share is growing. The question is not ideology but return on investment.
Treat OTAs as a Marketing Channel, Not a Necessity
Hotels should calculate net average price by channel and allocate budgets to flows with the best yield. An OTA may cost less than Google Ads or maintaining an in-house CRM. The operational strategy becomes: use OTAs to feed direct bookings, then build loyalty to reduce future acquisition costs.
This approach requires moving past debates about whether OTAs are friend or foe. They are acquisition channels with measurable returns. The math determines the answer.
AI Enables Real-Time Pricing and Market Responsiveness
Pricing agility matters more as demand becomes less predictable. An event announcement can trigger demand spikes that require rapid rate adjustments. Hotels that move slowly miss opportunities.
AI helps hotels listen to market signals in real time, process large data volumes, and propose pricing scenarios quickly. Faster pricing response directly improves yield.
Independent Hotels Can Regain Ground
OTAs are investing in AI themselves and will not disappear soon. But independent hotels have room to maneuver.
The path forward requires three steps: measure real profitability by channel, build a data and AI infrastructure with structured data and an MCP server, and shift from an operator's role to a strategist's role across channel mix and pricing.
Loyalty and pricing agility become the critical levers. Hotels that master both can reduce OTA dependence and improve margins.
Learn more about AI for Hospitality & Events and how Generative AI and LLM applications are reshaping the industry.
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