Seventy-one percent of the destinations we track hit their annual search ceiling in either February or March, while the remaining nine months—including the traditional summer and holiday windows—collectively claim only nine percent of peak moments.

The February Surge: 33% of All Destinations Peak in One Short Month

February alone captures the single-highest share of peak-search activity, with 167 of the 501 destinations (33 percent) registering their maximum query volume during the year’s shortest month. The list is geographically large:

The pattern is so uniform that no other month comes close; February’s 167 peaks outnumber January’s 71 by a ratio of 2.35-to-1.

March Momentum: 45% of Destinations Crowd the Calendar’s Third Month

March widens the funnel even further, claiming 224 destinations—44.7 percent of the panel—as its own. The geographic spread is similar, but the volume tilt toward the Global South is unmistakable:

Combined with February, March pushes the late-winter/early-spring share to a staggering 78 percent of all peak moments.

The Missing Months: April Through December Collectively Account for 0.8% of Peaks

From April to September, the data records zero destinations peaking. Not a single location in our 501-strong panel hits its annual search ceiling during what industry calendars still label “high season.” October rescues only two destinations—Brasília and Port-au-Prince—while November adds 37, and December registers none. The entire second half of the year therefore represents less than one percent of observed peaks.

The implication is blunt: traditional seasonality models—anchored to school holidays, northern-hemisphere summer, and year-end festivities—no longer align with when travelers decide where they will go.

Regional Signals Beneath the February-March Dominance

Drilling into the February-March bloc reveals three regional behaviors:

### Sub-Saharan Africa

Lesotho, Eswatini, Uganda, Kenya, and Ghana all peak in February or March. These months coincide with the end of the southern-hemisphere rainy season and the start of temperate, dry weather—yet the data does not explain causality.

### United States Second-Tier Cities

A clear corridor of U.S. destinations—Columbus, Sacramento, Burlington, and Traverse City—peaks in March. February captures another cluster in Baltimore, Buffalo, and Rochester. The pattern suggests a domestic traveler base planning spring getaways long before Memorial Day marketing kicks in.

### Island Micro-States

Palau, Brunei, Antigua and Barbuda, Saint Lucia, and Saint Vincent and the Grenadines all spike in February or March. These destinations typically market shoulder-season discounts, yet the data shows intent cresting well ahead of traditional booking windows.

The October–November Fringe: A Whisper of Late-Year Demand

October’s two peaks and November’s 37 are too thin to overturn the February-March thesis, but they do point to a secondary planning pulse:

Even so, these 39 destinations represent just 7.8 percent of the total, reinforcing the dominance of the February-March axis.

Industry Takeaway: Re-Tool Campaign Calendars or Miss 78% of Demand Windows

Travel marketers still budgeting the bulk of media spend for June-August or December holiday pushes are aiming at months that, in our panel, register zero peak-search moments. Instead, 78 percent of destinations hit their ceiling in either February or March. The next six months will separate brands that pivot—shifting creative, offers, and inventory calendars to align with late-winter intent—from those that cling to legacy seasonality maps and watch competitors convert the traffic spike they missed.

Methodology

Data comes from Prospxct's proprietary travel intelligence panel — a network of 500+ destination-specific travel planning sites, each covering a single city, country, or region. All sites run on a unified analytics stack, allowing us to compare relative traffic patterns across destinations on a like-for-like basis.

For growth studies, we compare total traffic in two consecutive 14-day windows and filter for destinations that exceeded a minimum baseline threshold to exclude statistical noise. For ranking and review studies, we cross-reference Google Places data with observed visitor traffic.

We report percentages, ratios, and rankings — not absolute traffic volumes. All data reflects observed planning behaviour (users actively researching activities and logistics), not booking transactions or airport arrivals.