The Loyalty Paradox and Why Small Hotels in Tulum Are Losing the Long Game

I live in Tulum. I care about this place, and, like many destinations experiencing accelerated growth cycles, it is currently going through a period of adjustment. While external factors are often used to explain the slowdown, part of what we are seeing is structural, and in many cases, self-inflicted.

The realization did not come from a report or a set of KPIs, but from something much simpler.

A tennis court, a reassigned slot, and a familiar pattern

I have a standing reservation at a tennis court near my apartment. It is a bi-weekly ritual with friends, a fixed point in an otherwise variable schedule. Last week, I received a message informing me that my time slot needed to be reassigned because someone else wanted to book a one-off class. The decision itself reflects a broader pattern that extends far beyond a tennis court.

In many hospitality-driven markets, particularly in destinations like Tulum, businesses tend to optimize for immediate transactions rather than for the stability of their demand base. When demand is uncertain, prioritizing a higher-value, one-time transaction appears rational, especially in environments where cash flow pressure is constant. But over time this behavior begins to erode the very structure that allows the business to operate with resilience.

How low season makes locals essential to Tulum's hospitality

This erosion becomes particularly visible in the relationship between local customers and the hospitality ecosystem in Tulum. During low season, when occupancy declines and fixed costs remain, local demand becomes critical, as restaurants, beach clubs, and hotels rely on residents to generate consistent traffic, stabilize revenue, and, in many cases, simply remain operational. In that period, the relationship becomes flexible, access improves, pricing adjusts, and the local customer is treated as a core component of the demand mix.

As high season returns, that logic tends to reverse, replacing the same customer who provided frequency and stability with a pricing model designed for short-term maximization, where rate increases are not only expected, but often disconnected from any structural change in the product itself. A room that sells at $150 during low season can reach $850 during peak periods without a meaningful variation in the physical asset or the service delivered. This can be explained by demand conditions from a revenue management perspective, but it reflects a shift from pricing power to pricing opportunism when viewed strategically.

Pricing power versus pricing opportunism

The distinction between both is not semantic. Pricing power is built on the ability of an asset to sustain higher rates because the market consistently perceives and validates its value, while pricing opportunism captures short-term willingness to pay without reinforcing the long-term positioning of the asset. Although both may produce similar outcomes in peak periods, their implications diverge once demand softens.

As this distinction becomes clearer, the structure of demand begins to matter more explicitly. A guest who visits once and spends $1,000 contributes revenue, but does not necessarily contribute to stability, while a local customer who spends $50 every week generates lower immediate revenue but provides frequency, predictability, and continuity during periods when external demand is limited, making both sources of revenue structurally different rather than interchangeable.

Loyalty that appears only when occupancy drops

At this point, the question becomes less about pricing or seasonality and more about the nature of the relationship itself. Loyalty, as it is often understood, assumes a one-directional commitment, where the customer is expected to return, to spend, and to prioritize the business over alternatives. What is less clear is whether that expectation is matched in the opposite direction, or whether the relationship is designed to be conditional, activated only when demand weakens.

The concept of loyalty, as it is commonly applied, tends to overlook this distinction, as most loyalty frameworks are designed to reward expenditure and reinforce the idea that value is defined by how much a guest spends rather than by how consistently that guest contributes to the demand base. While this approach can be effective in large-scale systems with diversified demand, it becomes structurally fragile in smaller markets where demand volatility is higher, and local behavior plays a more significant role.

In these environments, loyalty is not only a function of incentives, but of continuity, and when businesses prioritize short-term transactions over long-term relationships, they gradually lose the segment that provides stability. The immediate impact may be limited, particularly during high season, but the long-term effect becomes visible when conditions change, as the absence of a consistent local base increases dependency on external demand, which is inherently more volatile and more expensive to capture.

The recommendation channel small hotels risk losing

In a destination like Tulum, this dynamic extends beyond the operation of individual properties, as travel decisions are not only influenced by marketing or visibility, but by recommendation. Visitors rely heavily on the input of those who live in the destination to determine where to stay, where to eat, and which experiences are worth pursuing. So when the local community disengages from the hospitality ecosystem, or worse, is put aside by it, that informal but highly effective distribution channel begins to weaken.

The long-term cost of this shift is not immediately visible, as a business that maximizes revenue during peak periods at the expense of its consistent demand base may improve short-term performance while simultaneously weakening the structure that supports it during periods of lower demand. Over time, this imbalance affects not only revenue stability, but also pricing power and market positioning, as the asset becomes increasingly dependent on conditions it does not control.

Loyalty, in this context, is not a marketing construct, but a structural component of demand. When it is treated as conditional, offered only when occupancy drops and withdrawn when demand returns, it ceases to function as a stabilizing force and becomes part of the volatility it was meant to offset. A business that expects loyalty from its customers without reflecting it in how it manages access, pricing, and prioritization does not build a demand base; it rents it, and over time, that distinction defines not only how demand behaves, but where it ultimately flows.

Should small hotels and restaurants in Tulum treat their local regulars as a year-round priority rather than a low-season fallback? Join the conversation and share your perspective with us on Instagram and Facebook at @thetulumtimes.