More Than One Visit: The Power of Tourism Loyalty

On 21 June 2026, as the Maldives welcomed its one millionth tourist of the year, visitor was arriving for the first time. Among the gifts presented to her was an invitation to return during Visit Maldives Year 2027. It was a fitting moment: the country celebrated an arrival while quietly planting the possibility of a second visit.

Exisitng tourism statistics are excellent at recording the first part of that story. They count the aircraft landing, the passport processed and the guest entering a resort or guesthouse. They tell us how many people arrived, where they came from and, with some delay, how long they stayed.

They are much weaker at recording what happened next. Did the visitor return? How many years passed before the next trip? Did she return to the same property, choose another atoll or move from a resort to a guesthouse? Did one satisfied visitor bring a partner, a family or a group of divers on the next journey?

These are not secondary marketing questions. They concern an asset that the Maldives has accumulated over more than five decades: a stock of visitor trust.

The research question

How much tourism demand is stored in relationships with previous visitors, and how should the Maldives measure its economic value?

The usual indicator is simple:

Repeat Visitor Ratio = Returning Visitors ÷ Total Visitors

This is useful, though incomplete. It treats a visitor who returns once and stays four nights in the same way as a visitor who has returned ten times, stays two weeks and introduces other travellers to the destination.

A better system would measure not only the share of repeat visitors, but also their nights, frequency, spending, booking behaviour, referrals and movement across the Maldivian tourism system.

What the available evidence shows

The Tourism Ministry’s visitor-survey archive lists September 2022 as the latest published Maldives Visitor Survey. The detailed comparisons used here come mainly from the December 2021 survey, which collected 1,676 departure responses during an unusual pandemic-era travel period. The results should therefore be read as survey evidence, not as a precise estimate for every visitor in every year.

That survey found that 22% of respondents were repeat visitors. Eighteen per cent had visited between two and five times, 2% had visited six to ten times, and 1% had visited more than ten times. The more revealing result is not the visitor count. It is the time they contributed.

First-time visitors stayed for an average of 6.6 nights. Repeat visitors stayed for 10.5 nights. This produces a useful indicator:

Repeat-Stay Multiplier = Average repeat-visitor stay ÷ Average first-time stay

Repeat-Stay Multiplier = 10.5 ÷ 6.6 = 1.59

In this survey, one repeat visitor generated approximately 59% more visitor-nights than one first-time visitor.

That changes the picture considerably.

Assume 100 visitors with the same composition as the survey:

78 first-time visitors × 6.6 nights = 514.8 visitor-nights

22 repeat visitors × 10.5 nights = 231.0 visitor-nights

Total = 745.8 visitor-nights

Repeat visitors represented only 22% of arrivals, yet generated approximately 31% of visitor-nights. Compared with a hypothetical group of 100 first-time visitors, the observed visitor mix produced around 13% more total nights.

I call this the Loyalty Bed-Night Dividend:

Loyalty Bed-Night Dividend = Actual visitor-nights ÷ All-first-time visitor-nights − 1

= 745.8 ÷ 660 − 1 = 13%

This does not prove that repeat visitors spend more per day. International evidence on spending is mixed: repeat visitors may spend more in some categories and less in others because they are more familiar with local prices and need fewer introductory activities. The Maldives should therefore measure expenditure directly rather than assume that loyalty automatically means higher daily spending. Recent empirical research likewise finds that repeat status can affect expenditure categories differently.

The more defensible conclusion is narrower and still important: repeat visitors may contribute disproportionately to occupied nights even when their share of arrivals appears modest.

Loyalty is a stock, not merely a percentage

Arrivals are a flow. They occur during a day, month or year. Visitor loyalty is closer to a stock. It is built over time, can produce future demand and can also depreciate.

A simple Destination Loyalty Stock Model is:

Lₜ = (1 − δ)Lₜ₋₁ + Nₜ

Where:

Lₜ = active stock of loyal visitors in year t

δ = annual loyalty decay or attrition rate

Nₜ = first-time visitors converted into likely returners

A destination increases its loyalty stock when it converts new visitors faster than previous relationships decay. This model introduces a question that arrival statistics cannot answer: How many former Maldives visitors remain realistically available to return?

A person who visited last year, follows the resort online and is considering another trip belongs to a different demand pool from someone whose last visit was fifteen years ago and whose preferences have changed. Both are technically previous visitors, though their probability of returning is not the same. The Maldives therefore needs cohort data: visitors grouped by the year of their first trip and followed anonymously over time.
Not all source markets carry the same loyalty

The 2021 survey reported striking differences by nationality. Repeat visitors represented 64% of Swiss respondents, 38% of German respondents and 37% of British respondents. The corresponding shares were only 5% among Indian respondents and 6% among respondents from the United States.

These figures require caution. The survey was conducted during the pandemic, China was absent from the respondent pool, and sample sizes differed by nationality. They should not be treated as definitive market rankings.

They nevertheless demonstrate why one national repeat-visitor ratio is insufficient. A low repeat share may indicate a newly growing market with many first-time arrivals. A high share may indicate a mature market with deep destination familiarity. Neither is inherently good or bad.

The analytical question is whether each market is moving through a healthy progression:

Awareness → First visit → Second visit → Multiple visits → Referral

This suggests a Market Loyalty Maturity Matrix with:

horizontal axis: repeat-visitor share;

vertical axis: average stay or estimated visitor value;

bubble size: total arrivals;

bubble colour: growth rate.

A large, fast-growing first-time market would appear in a different quadrant from a smaller mature market with long-staying repeat guests. Destination marketing could then assign different objectives to each market rather than using the same campaign logic everywhere.

The purpose of travel predicts the possibility of return

The Maldives is often described as a once-in-a-lifetime destination. That description is only partly correct.

In the 2021 survey, 94% of honeymoon visitors were first-timers. Among divers, only 56% were first-time visitors, implying that approximately 44% were repeat visitors. Repeat visitation was also more common among older age groups: 57% of respondents aged 65 and above were repeat visitors, compared with 9% among those aged 25–34.

This points to a portfolio problem.

Honeymoons may be highly valuable but naturally concentrated around a single life event. Diving, wellness, family holidays, marine encounters and seasonal nature experiences can create recurring reasons to return.

The strategic objective is not to force every visitor into the same loyalty pathway. It is to design different pathways:

honeymoon to anniversary;

couple to family holiday;

introductory snorkelling to advanced diving;

one resort island to a second atoll;

resort stay to a mixed resort-and-local-island itinerary;

dry-season visit to a manta, whale-shark, surfing or cultural season.

The Maldives has enough geographic and product diversity to make a second visit meaningfully different from the first. The weakness is that this diversity is not always organised and communicated as a return journey.

The intention-to-return gap

The 2021 survey found that 82% of respondents were very or extremely likely to return, while the observed repeat share was 22%. The difference is 60 percentage points. It would be incorrect to call this a conversion rate. The 82% measures stated intention among current visitors; the 22% measures the past behaviour of a cross-sectional sample. They are not the same cohort, and intentions do not reveal when a future trip will occur.

Still, the contrast identifies a major information gap.

The Maldives measures enthusiasm at departure and repeat status at a later arrival, but it does not routinely connect the two through longitudinal, privacy-protected cohort tracking.

A future Return Realisation Curve could show the proportion of visitors returning within:

12 months;

24 months;

36 months;

five years;

ten years.

This curve would reveal whether loyalty is translating into behaviour, how long the return cycle is and which markets or visitor segments need renewed engagement.

A second finding from econometric evidence

My earlier econometric work on Maldives tourism found a lagged-demand coefficient of approximately 0.70. In a dynamic tourism-demand model, this suggests strong persistence associated with habit, loyalty, reputation and word-of-mouth effects. It does not mean that 70% of visitors were repeat guests. The 70% is a modelled persistence effect in aggregate arrivals; the visitor-survey repeat ratio is an observed individual-level share. They measure related but different phenomena.

That distinction is important.

A destination can benefit from previous visitors even when they do not personally return. They may recommend the Maldives, create social-media content, reassure other travellers or strengthen the destination’s reputation in their source market.

The broader asset is therefore not only repeat visitation. It is memory-driven demand.

Recent research adds an important warning

Recent tourism research shows why loyalty should not be reduced to discounts and membership points. A study of repeat visitors to Fiji found that familiarity, personal history and emotional connection can enhance visitor well-being. Returning to a known destination can offer restoration and a sense of belonging that novelty alone does not provide.

A newer study offers the counterpoint. It found that, among international tourists, repeated visits can weaken sensory, emotional and intellectual destination experiences when novelty fades. The number of previous visits therefore becomes an important segmentation variable. Together, these findings suggest a more useful formula:

Repeat-Visit Value = Familiarity + Recognition + Renewal − Friction − Novelty Loss
A loyal guest wants some things to remain familiar: trusted service, known staff, reliable transfers and a sense of welcome.

The same guest also needs a reason to discover the destination again. The practical task is to preserve the relationship while renewing the experience.

What operators can measure now

A resort or guesthouse does not need a sophisticated national database to begin.

It can record:

first visit or repeat visit;

number and dates of previous stays;

same property or another Maldives property;

booking channel;

lead time;

length of stay;

room and experience preferences;

direct revenue and ancillary spending;

referral source;

reason for returning;

reason for choosing a different island or property.

The most useful operator indicator may be:

Repeat Guest Night Share = Nights generated by repeat guests ÷ Total occupied guest-nights

This is more informative than the repeat-guest share alone because it captures the length-of-stay effect.

Operators could also calculate:

Repeat Guest Revenue Share = Revenue from repeat guests ÷ Total guest revenue

Return Interval = Current arrival date − Previous departure date

Referral Yield = New bookings attributed to previous guests ÷ Repeat guests

A property may discover that repeat visitors are not its largest segment by headcount, yet are central to direct bookings, shoulder-season occupancy, longer stays or family referrals.

What the Maldives should measure nationally

Repeat visitation should become a national tourism performance indicator, though not as a single headline number.

A useful Maldives Destination Loyalty Dashboard would track:

• repeat-visitor ratio;

• repeat guest-night share;

• average stay by visit number;

• repeat share by source market;

• repeat share by accommodation type;

• repeat share by purpose of visit;

• return interval;

• movement between islands, atolls and accommodation models;

• stated intention versus realised return by cohort;

• referral and recommendation indicators.

The Ministry, Immigration, operators and destination marketers could build this through anonymous identifiers, recurring visitor surveys and aggregated accommodation data. Personal identities should not be published or exposed. The analytical goal is to follow patterns, not people.

This fits the purpose of the Maldives Tourism Observatory: to build cumulative datasets that connect arrivals, visitor profiles, accommodation, prices, satisfaction, repeat visitation and tourism value over time.

Why it matters

The OECD’s 2026 tourism assessment describes a sector operating at record levels while facing geopolitical tension, transport disruption, affordability pressures and fragile travel confidence. In such an environment, resilience cannot be inferred from arrival growth alone.

Repeat visitors do not remove external risk. Flights can still be disrupted, incomes can fall and destinations can lose their appeal. They do, however, reveal whether the Maldives has accumulated something that cannot be built quickly during a crisis: confidence formed through experience.

Arrivals tell us how much demand crossed the border.

Repeat visitation tells us how much of that demand may have taken root.

For the Maldives, the next step is not simply to celebrate that visitors came back. It is to measure who returns, when, for what, for how long and with what economic value. That is where repeat visitation changes from a pleasant marketing statistic into a serious destination-performance indicator.

Should the Maldives report a national Repeat Guest-Night Share alongside arrivals, occupancy, average stay and tourism receipts?

Source notes

1. Ministry of Tourism and Civil Aviation, Maldives Visitor Survey, December 2021.

2. Ministry of Tourism and Civil Aviation, Maldives Visitor Survey archive.

3. OECD, Tourism Trends and Policies 2026.

4. Vada et al., “Welcome Back: Repeat Visitation and Tourist Wellbeing.”

5. Barra, Vargas and Torres-Moraga, “The More You Visit, the Less You Experience.”

6. Ibrahim Zuhuree, An Empirical Analysis on International Tourist Flow and Hotel Room Prices: The Case of Maldives.