23rd September 2025: Here are few of the stories that caught our attention over the week with some of our takeaways. Watch the video for a summary or scroll down for the analysis.
Story 1
The True Cost Illusion: Why Most Hotels Are Making Distribution Decisions Blind
The HSMAI Revenue Optimisation Advisory Board’s latest analysis exposes a critical flaw in hotel distribution and revenue management: most properties are making channel decisions based on incomplete cost data. The assumption that direct bookings are inherently more profitable crumbles under proper scrutiny.
The Hidden Economics of “Cheap” Direct Bookings
When you factor in ad campaigns, agency retainers, third-party widgets, loyalty programme expenses, and sales payroll, direct booking margins become surprisingly thin. One Advisory Board member working with both branded and independent hotels noted: “just because you’re throwing money at that to drive direct bookings doesn’t always mean you end up keeping as much of that as you think.”
The mathematics are sobering. While OTA commissions range from 15-25%, the total marketing investment for direct bookings—including SEO, SEM, social media advertising, and brand building—often approaches or exceeds OTA commission rates when calculated per booking.
Moving Beyond Net RevPAR
Traditional benchmarks like Net RevPAR fail to capture distribution efficiency nuances. Jens Egemalm at Pandox Hotels developed a more sophisticated formula: RevPAR with markups divided by Net RevPAR. But even this requires significant organisational commitment and technology investment that many independent hotels cannot justify.
Business intelligence platforms like Juyo Analytics and Kalibri Labs’ Hummingbird can calculate reservation-level costs, but enterprise solutions often cost £40,000-£160,000 annually—substantial overhead that must be factored into distribution calculations.
The Loyalty Programme Paradox
Here’s where cost allocation becomes particularly complex: a customer who books direct after earning status through OTA stays. How do you attribute the member rate discount, upgrade costs, and late checkout privileges? The cross-channel customer journey reality makes pure channel profitability analysis increasingly meaningless.
Different customer segments demonstrate varying channel cost sensitivities. Business travellers often book through corporate tools with negotiated rates but high service costs. Leisure travellers frequently use OTAs for research but may convert direct. Group bookings require intensive sales support regardless of final booking channel.
As one board member concluded: “To do nothing is to light whatever profit you’ve generated on fire.”
Story 2
Why AI Agents Could Make OTAs Obsolete Within Years
OpenAI Chairman Bret Taylor’s recent insights reveal how artificial intelligence is reshaping travel distribution in ways that threaten existing OTA business models. His central thesis: AI agents are becoming the new travel advisors, delivering personalised experiences at scale.
Beyond Chatbots to Digital Concierges
Taylor’s vision extends far beyond current text-based interfaces. He foresees multimodal interactions involving voice, multimedia, and eventually video. The phone, he argues, is “the last channel that hasn’t been digitised until now,” and voice may prove more important than text chat long-term.
This isn’t theoretical. Taylor used ChatGPT to plan a family trip to Copenhagen, describing the outcome as “exceptional,” where every aspect—from lodging to museum visits—was successfully guided by AI suggestions.
The Distribution Disruption Reality
When AI agents can instantly synthesise optimal recommendations from comprehensive data sources, the traditional value proposition of comparison shopping diminishes significantly. This creates what we might term “distribution disintermediation”—AI agents potentially rendering traditional booking platforms obsolete by directly connecting travellers with optimal choices.
The competitive landscape is already shifting. Google’s Travel AI initiatives, Microsoft’s Copilot integration with Bing Travel, and Amazon’s Alexa for Hospitality create powerful discovery pathways that bypass conventional distribution channels. The question becomes: which AI ecosystem will ultimately control customer relationships?
The Urgent Challenge for Travel Leaders
Taylor’s warning is stark: “consumers are moving faster than most companies can make decisions.” ChatGPT became the fastest-growing consumer product in history, and consumer adoption of AI tools is outpacing corporate decision-making.
His call to action is direct: “It’s on all of us as leaders to push decisively towards this new world.”
Story 3
Strategic Partnerships Reshape Asian Distribution: Trip.com and Traveloka Join Forces
Travel Daily Media reports on the partnership between Trip.com and Traveloka signalling a sophisticated evolution in OTA distribution strategy. Rather than building expensive local operations, both platforms are leveraging complementary partnerships to access specialised inventory and market expertise.
The Inventory Federation Model
This collaboration reflects a broader industry trend toward inventory sharing rather than direct competition. Traveloka provides Trip.com with access to Southeast Asian experiences, whilst Trip.com opens its global attractions network—particularly its strong Chinese footprint—to Traveloka users.
The strategic logic is compelling. Traveloka’s strength in Indonesia—Southeast Asia’s largest economy—provides Trip.com with access to a market historically challenging for international OTAs to penetrate effectively. Conversely, Trip.com’s Chinese market dominance offers Traveloka users access to the world’s largest source market for outbound tourism.
Technology and Cultural Complexities
Success hinges on seamless API integration between distinct technology platforms whilst harmonising pricing strategies and customer service protocols. The partnership must address significant cultural differences between Southeast Asian and Chinese travel patterns—Chinese travellers often prefer comprehensive packages with Mandarin support, whilst Southeast Asian travellers seek more flexible, locally authentic experiences.
Story 4
Sports Tourism: The New Wellness Revenue Stream
Generator Hotels’ data called out in the Hotel Executive reveals a further shift in wellness travel. Their 400% booking surge in Paris during the 2024 Olympics and 10% business increase across German properties during UEFA EURO 2024 demonstrates the commercial potential of sports-centric travel.
The “Mara-Cation” Phenomenon
Travellers increasingly organise itineraries around sporting events, particularly marathons. This demographic typically spends 30-40% more per trip than traditional leisure travellers, with predictable booking patterns—marathon participants typically reserve accommodations 6-12 months in advance.
Technavio forecasts the sports tourism market will grow by $77.1 billion between 2024 and 2028, validating what forward-thinking hotel brands already observe. The demographic skews toward educated professionals aged 25-45, with women now representing approximately 60% of participants in major city marathons.
Revenue Management Opportunities
Unlike seasonal leisure patterns, sporting events create predictable demand spikes with extended booking windows. This extended lead time offers hotels pricing power and inventory optimisation opportunities that traditional hospitality models haven’t fully capitalised upon.
Story 5
OTA Distribution for Corporate Groups: Volume vs. Margin Trade-offs
Business Travel News reports on Booking.com for Business’s integration with Bizly’s event booking platform and we see it as yet another shift in corporate travel and a dilemma for hotels.
The Revenue Management Reality
The partnership creates complex challenges for hotels managing group business through yet another distribution channel. Booking.com’s typical 15-20% commission structure means hotels face significant margin erosion on corporate event bookings that traditionally commanded higher ADRs through direct sales relationships.
Group bookings present unique complexities that OTA models struggle to address effectively. Corporate events require negotiated rates, custom cancellation policies, and specialised service levels that don’t translate well through third-party platforms. When hotels need to coordinate 50+ rooms for multi-day conferences, the commission costs compound whilst operational complexity increases.
The Direct Relationship Dilemma
Hotels must now weigh volume benefits against margin erosion, particularly when competing against their own direct sales teams for the same corporate accounts. The fundamental tension becomes clear: corporate event planners increasingly prefer direct venue relationships for better service control and cost management, yet this partnership adds another intermediary layer to inherently relationship-driven transactions.
The integration acknowledges that corporate travel management must encompass the entire journey from event planning through execution. However, it raises strategic questions for hoteliers about channel conflict and whether yielding group business to OTA distribution strengthens or weakens long-term corporate relationships.