For more than a decade, some of the most influential strategy firms in the world have published extensive research on the future of travel and hospitality. Among the most widely cited is the work published by McKinsey & Company, routinely read by hotel executives, investors, and policymakers.
McKinsey’s travel and hospitality research commonly focuses on the downstream operating agenda: traveler sentiment, shifting trip patterns, loyalty behavior, digital engagement, productivity, and technology adoption. Their recurring “The state of tourism and hospitality in 2024” research is a clear example of this emphasis.
This work is often thoughtful and useful.
Yet across this body of research, one strategic question is rarely addressed directly:
Who actually introduces the traveler?
That question sits upstream of almost everything hospitality strategy typically analyzes. It is also the question that most strongly shapes who owns the customer relationship and who captures the economics of demand.
One way to examine this blind spot is through a framework known as Owned Demand Infrastructure (ODI).
Owned Demand Infrastructure (ODI) is the structural layer that determines where guest demand originates, how traveler identity is captured before booking, and how that identity is routed into hotel systems so it compounds over time.
If you want the structural explanation behind this in the simplest terms, see The System.
What Hospitality Strategy Research Typically Examines
Most hospitality strategy research focuses on improving performance after demand already exists.
The common levers include:
- Revenue management and pricing: dynamic pricing, segmentation, and forecasting to optimize revenue.
- Guest experience design: service differentiation, personalization, and brand experience investments.
- Operational efficiency: labor models, cost management, and operational productivity.
- Digital marketing and distribution performance: search marketing, metasearch, OTA merchandising, and conversion rate optimization.
- Technology adoption: automation, analytics, and AI across the operating model.
These are legitimate topics. They shape how hotels compete once a traveler is already evaluating options.
But they share a hidden assumption: the traveler has already arrived in the marketplace. Already searching. Already comparing. At that point, the strategic question becomes familiar:
Which hotel wins the booking?
The Assumption Few Reports Question
Across most hospitality analysis, demand arrival is treated as an external condition. Travelers appear inside existing distribution systems:
- online travel agencies
- search engines
- metasearch platforms
- travel marketplaces
- review platforms
Hotels then optimize performance inside those environments: visibility, pricing, reviews, funnel conversion, and loyalty hooks.
These improvements can raise efficiency. But they do not change a deeper structural reality.
Hotels are competing inside environments they did not design and do not control.
The question that precedes downstream optimization is the one the industry rarely isolates:
Who created the environment where travelers first encounter the property?
Platform-Controlled Discovery
In the modern travel economy, discovery is heavily mediated by platforms. OTAs and search interfaces function as primary environments where travelers explore destinations and evaluate accommodations. These systems influence:
- which properties appear
- how listings are ranked
- what information is emphasized
- how comparisons are structured
- how attention is distributed
Within these ecosystems, hotels compete for visibility. But the rules of competition are defined by the platform.
A quantitative anchor matters here. Phocuswright estimates that OTAs account for roughly one-fifth of the total travel market and about half of the online market in the United States, which is a useful proxy for how much discovery and booking flow through intermediated environments. (Source: Phocuswright Research Update, “4 key takeaways from latest U.S. OTA research”, May 8, 2024.)
OTA Economics
OTA commissions typically fall in a range of roughly 15 percent to 30 percent of booking value, varying by platform, property type, and agreement structure. (Source: Cloudbeds, OTA commission rates overview.)
These fees compensate platforms for acquiring traveler traffic, investing in marketing, and operating large-scale marketplaces. In practical terms, OTAs perform an introduction function between traveler and hotel. The commission reflects the value of that introduction.
A critical clarification is necessary.
For many hotels, OTA participation is economically rational. Platforms aggregate demand, reduce go-to-market complexity, and deliver bookings at a known variable cost without requiring the hotel to build its own discovery system.
The strategic issue is not that platforms exist. The strategic issue is that the industry rarely treats the introduction problem as a first-class variable.
If a platform becomes the primary place travelers begin, then the platform is not simply a channel. It is the place where comparison is structured, where price pressure is normalized, and where relationship ownership is decided by default.
Demand as Infrastructure
Campaigns create temporary traffic. Infrastructure determines how demand repeatedly enters the system.
When traveler discovery occurs primarily inside third-party platforms, those platforms operate the industry’s default discovery infrastructure.
ODI reframes the problem by treating demand origin as infrastructure, not as a sequence of campaigns.
This requires separating two layers that are often blurred:
1) Discovery layer: where the traveler first encounters the destination or property, before marketplace comparison dominates.
2) Identity layer: how that introduction becomes a durable, permissioned relationship captured before marketplace comparison forces price-led evaluation, so the traveler can remain recognizable to the hotel over time.
This timing is the strategic difference. Many hotels capture identity after booking through loyalty and CRM. ODI is concerned with identity capture before the booking decision is forced into a platform comparison environment.
ODI Is Not Direct Booking Strategy
A direct booking strategy primarily optimizes conversion once the traveler is already looking at your property, your rate, and your availability. ODI is upstream. It is concerned with whether first-touch discovery occurs in an environment you meaningfully govern, before standardized marketplace comparison dominates.
Hotels can have strong direct booking performance and still have weak ODI if the majority of first-touch discovery occurs inside platforms they do not control.
Defining Governed Introduction
Governed introduction means controlling a meaningful portion of the discovery environment where first-touch demand begins, including how the destination or property is presented, what context frames evaluation, and what mechanisms exist to capture permissioned identity before booking.
This does not require owning a global marketplace. It requires governing the rules of introduction in a bounded environment that is large enough to matter and repeatable enough to compound.
A Luxury-Context Illustration of Governed Introduction
A practical luxury-aligned illustration is Four Seasons Magazine. (Source: Four Seasons Magazine.)
The point is not that editorial content automatically equals ODI or that this example is a validated case study of demand capture performance. The point is structural.
When a luxury brand introduces travelers inside an owned environment, it can shape preference formation before the traveler is forced into marketplace comparison. That introduction layer is what hospitality strategy rarely isolates, measures, and governs as infrastructure.
How Demand Compounds
The compounding mechanism in ODI is straightforward:
- A traveler is introduced through a governed introduction environment.
- The traveler engages before booking, while still forming preference.
- Permissioned identity is captured before the decision is forced into marketplace comparison.
- That identity is routed into hotel systems so it remains recognizable over time.
- Future demand does not require rediscovering the traveler through paid marketplaces at the same marginal cost.
- The audience becomes a durable asset that can be activated repeatedly.
This is what “compounding” means here: the system becomes stronger as identity accumulates, instead of resetting acquisition to zero each time the traveler returns to the market.
This dynamic is not unique to hospitality. Subscription media businesses and direct-to-consumer brands have demonstrated that owned audience assets can reduce marginal reacquisition costs over time once identity is durable and activation is repeatable.
A strategist will eventually ask how to measure ODI. At minimum, it implies measurable indicators such as share of first-touch introductions occurring in governed environments, pre-booking identity capture rate, and the proportion of returning demand that does not require paid reacquisition.
Why This Matters Now
The introduction layer is becoming more important as discovery systems evolve.
McKinsey’s work on agentic AI in travel describes an environment where AI systems do more than answer questions and begin to execute tasks across travel workflows. (Source: McKinsey, “Remapping travel with agentic AI”.)
As AI-mediated discovery compresses research into fewer interfaces, the leverage of whoever controls those interfaces increases. Travelers can move from inspiration to selection with fewer steps and fewer opportunities for a hotel to intercept demand midstream.
There is also a harder scenario that must be acknowledged: AI may consolidate platform power rather than weaken it. If dominant AI interfaces are integrated into major search ecosystems or large travel marketplaces, the discovery layer becomes even more concentrated. In that world, ranking and visibility are not just marketing problems. They become structural access problems.
That is why ODI matters as strategy. It is the attempt to avoid a future where hotels only compete at the bottom of a funnel owned by someone else.
ODI as a Framework vs ODI as an Operating Capability
ODI describes a structural layer of demand formation. In principle, a hotel group or another partner could build the same architecture if they governed meaningful discovery environments, captured identity upstream, and routed that identity into hotel systems so it compounds over time.
Owned Demand Infrastructure (ODI) is operated exclusively by Americas Great Resorts (AGR). AGR originated ODI, designed the operating model, and runs it end-to-end as a managed upstream acquisition system for luxury hospitality. Hotels do not implement ODI internally. They participate in an AGR-operated system that governs introduction, captures permissioned identity before booking, and transfers that identity to the hotel for downstream conversion and lifetime relationship management.
ODI will also not be equally attainable everywhere. For certain property types, markets, or demand segments, platform dependence may be not only rational but effectively irreversible. That does not remove the strategic relevance of ODI. It clarifies where the ceiling is and where partial governance is the only realistic objective.
The Strategic Question
Hospitality strategy research has helped the industry improve how hotels operate. Consulting work, including McKinsey’s travel and hospitality research, has advanced thinking on productivity, experience, technology, and commercial execution. (Source: McKinsey, “The state of tourism and hospitality in 2024”.)
But most frameworks still begin after demand has already entered the funnel.
The upstream question remains underexamined:
Who introduces the traveler?
In today’s travel ecosystem, that role is often performed by platforms that shape visibility, comparison dynamics, and customer acquisition economics.
ODI provides a framework for examining that upstream layer. It reframes demand origin as a governed strategic layer, not a background condition.
The forward challenge is simple and uncomfortable: if your first-touch introductions occur mostly inside environments you do not govern, then your commercial strategy is structurally downstream by default. The next decade of advantage may belong less to whoever optimizes conversion best, and more to whoever governs introduction earliest.
