The best loyalty programs do much more than reward repeat stays. Could a well-timed offer or flexible check-in create more value than another points program?
For decades, hotel loyalty programs have followed a familiar formula: stay more often, earn more points, receive more benefits. But the role of loyalty and rewards programs is changing. The strongest propositions now can influence where guests book, what they spend on top of the room rate, and how they interact with the hotel.
The next evolution in hospitality loyalty programs may be less visible to guests. Advances in data and AI could enable hotels to move beyond standardized rewards toward personalized loyalty experiences that recognize individual preferences and influence future behavior.
For hospitality leaders, the more strategic question now is, “How can loyalty create incremental value for both the guest and the business?”
Loyalty 1.0: Rewarding transactions
Historically, hotel loyalty programs were designed to encourage repeat stays. Large international hotel chains built transactional programs around a familiar model of earning and burning points. The more nights or money guests spent with the brand, the more points and status they accumulated, which eventually translated into free nights and other benefits.
This model has proved effective for large hotel chains, encouraging frequent travelers to stay with one hotel group while providing brands with a mechanism to recognize their most valuable guests.
However, it is less suited to smaller chains and boutique hotels, where guests may have fewer opportunities to earn or redeem rewards. These hotels also face other commercial challenges: high distribution costs, greater competition for guests, the need to grow ancillary revenue, and the complexity of managing demand and capacity across far more than rooms alone.
Loyalty 2.0: A commercial growth engine
Loyalty is no longer only about retaining customers. Its role has expanded into a commercial tool that can influence guest behavior throughout the journey. The opportunity here is to think further than the traditional question of how to encourage another booking.
Drive direct bookings (and reduce OTA dependence)
Online travel agency (OTA) commissions represent a significant cost to most hotel operators, and reliance on these channels can also limit the ability to build a direct and deeper relationship with the guest.
Loyalty therefore plays an important role in shifting demand toward direct channels. Member-only rates are the most visible lever, but they are only part of the equation. Points, status recognition, upgrades, flexibility, exclusive experiences, and other benefits can create a value proposition that is difficult for OTAs to replicate.
Importantly, the economics should be considered beyond the discount. A direct booking incentive creates value when the incremental cost of the loyalty benefit is lower than the commission cost. The objective should therefore not simply be to “offer members the lowest rate”, but rather to “create the most compelling direct booking proposition at the right cost.”
Steer guest behavior across the stay
Once a guest is part of the loyalty ecosystem, hotels can influence spending beyond the room reservation.
Personalized offers, gamification, and targeted rewards and recognition can encourage guests to spend on restaurants, spa services, upgrades, and other experiences.
Imagine a guest who regularly books a room but hardly ever dines in the restaurant. Rather than giving a redeemable but generic points reward, the hotel could offer an experience specifically designed to encourage a restaurant visit.
The same principle can support operational objectives. Hotels could reward behaviors that reduce cost or operational pressure, such as using online check-in, having breakfast outside peak periods, or selecting check-in times that better match operational capacity.
This represents an important change in mindset: loyalty does not only need to reward value already created; it can be invested to shape the behavior the business needs next.
Manage demand by activating the loyalty base
Revenue management professionals can also use customer loyalty to address one of the key challenges in hospitality: perishable inventory. An unsold room tonight cannot be sold tomorrow.
A loyalty base provides a closed and identifiable consumer group that can be activated during need periods without diluting publicly available rates. Fenced offers can stimulate demand for rooms, F&B, and ancillary services while protecting broader pricing integrity.
This becomes particularly powerful when loyalty and revenue management work together. Rather than asking, “Which promotions should we send to members?” organizations can ask, “Where do we have unused capacity, which guests are most likely to respond, and what is the minimum incentive required to change their behavior?”
From visible programs to “stealth loyalty”
But does every guest need a traditional loyalty program?
Points, tiers, and status remain highly effective for frequent travelers, especially those who earn through business travel and burn on leisure travel. However, there are also many low-frequency consumers who may never stay often enough to engage with conventional loyalty schemes effectively. Independent hotels, resorts, restaurants, and other hospitality players face the same challenge: the economics of an airline-loyalty scheme do not translate to every guest relationship.
This is where stealth loyalty becomes interesting. Instead of requiring guests to actively participate in a visible earn and burn mechanism, stealth loyalty embeds recognition and rewards into the customer experience. The guest does not need to continuously think about points, tiers, thresholds, or expiration dates. The organization recognizes the guest, understands their preferences, and provides relevant benefits at the moments that matter.
For a guest, that might mean having a preferred room allocated automatically, receiving greater flexibility, being offered a relevant experience, getting priority access to a fully booked restaurant, or simply being recognized across properties. For operators, this also allows greater control over the cost of loyalty. Traditional customer loyalty programs can reward behavior that would have occurred anyway.
Stealth loyalty can shift the economics from how many points a transaction should earn to which benefit is most likely to strengthen the guest relationship or influence future behavior. That benefit does not always need to be monetary. Recognition, convenience, access, and personalization can have high perceived value for the guest while carrying a low incremental cost for the operator.
Loyalty 3.0: AI transforms loyalty
AI has the potential not only to make existing loyalty and rewards programs more efficient, but to fundamentally change how loyalty works.
Hospitality has historically lagged other consumer industries in digital innovation. Richer first-party data, modern decision technology, and generative AI could close that gap.
From segmentation to true personalization
Traditional loyalty programs segment their membership base by different categories: leisure vs. business, high vs. low value, gold vs. silver, frequent vs. occasional.
AI allows organizations to move from broad segmentation toward very granular, individual-level insight. First-party data, such as stay history, ancillary consumption, channel behavior, and responsiveness to previous offers, enables hotels to determine the best approach for each guest.
That level of insight can help hotels tailor the proposition itself, including which benefit to provide, when to offer it, and whether an incentive is required at all. This is also where AI and stealth loyalty begin to converge. The better an organization understands what each guest values and what is likely to change their behavior, the less it needs to rely on the same standardized points proposition for everyone.
The result may be a loyalty model that becomes increasingly invisible to the guest, with recognition, experiences, and incentives tailored more precisely behind the scenes.
AI changes how guests discover (and book) hotels
AI will also change the other side of the equation: how consumers buy travel. Much of the current focus is on AI influencing the early stages of the booking funnel. Over time, AI agents are likely to play a greater role in the booking process, from potentially searching and comparing options to booking accommodations on a traveler’s behalf. This creates a new challenge for customer loyalty programs.
Most loyalty propositions today are designed for humans to understand: “Book direct and receive X.” In an agentic world, some of these propositions will also need to be understood by machines. Hotels will need to consider how loyalty status, personalized offers, and benefits can be made accessible to AI-powered intermediaries without surrendering control of the guest relationship.
There is an important trust gap to overcome. Consumers need to trust that an AI agent acts in their interest, while hotels need to trust that their availability, pricing, and content are represented accurately. The pace of adoption remains uncertain, but the trend is increasingly difficult to ignore.
The distribution battle may consequently evolve from “OTA vs. direct” to something more complex: who controls the interface and the guest relationship when an AI agent makes the decision?
What should a commercial leader be doing today?
These changes do not make the traditional loyalty model obsolete. Points, tiers, and status will remain powerful tools, particularly for frequent travelers and global hospitality brands.
The priority is how quickly an organization can build the commercial, data, and technological capabilities needed to support that evolution.
Commercial leaders can start with five priorities:
- (Re-)design loyalty as a commercial platform: Set clear targets for loyalty across acquisition, distribution, retention, ancillary spend, and demand management.
- Take control of guest data: Build richer guest profiles to enable more relevant recognition and personalization.
- Revisit the loyalty value proposition: Identify where traditional rewards work and where personalized or “stealth” benefits can create greater value.
- Connect loyalty across commercial functions: Combine guest insights with pricing, revenue management, and operations to influence the behaviors that create the most value.
- Prepare for an AI-enabled future: Build the data and technology capabilities to personalize at scale and engage with emerging AI-driven booking journeys.
The evolution from Loyalty 1.0 to 3.0 is ultimately a move from rewarding yesterday’s transaction to influencing tomorrow’s behavior.
The most effective loyalty strategies will not necessarily be the ones with the most elaborate points structures or longest list of benefits. They will be built around knowing whom to recognize, when to reward, and which behaviors to influence. For some guests, this will continue to mean points and status. For others, it may be embedded seamlessly into the guest experience through personalized recognition and benefits.
To discuss how your loyalty strategy can drive commercial growth and create greater value for your guests, contact one of our hospitality experts.
