| Market Type | Peak Season | Shoulder Season | Off-Season |
|---|---|---|---|
| Beach/coastal | June-August | April-May, September-October | November-March |
| Ski/mountain | December-March | October-November, April | May-September |
| Urban/business | Varies (convention season) | Spring/fall travel | Mid-winter, mid-summer |
| Tropical/warm climate | December-April (winter escape) | May, November | June-October (hurricane/rainy) |
| College town | Football season, graduation | Academic year | Summer break |
| Season | Months | Avg Nightly Rate | Occupancy | Monthly Revenue |
|---|---|---|---|---|
| Peak | 3 | $275 | 85% | $7,013 |
| Shoulder | 4 | $185 | 65% | $3,608 |
| Off-season | 5 | $120 | 45% | $1,620 |
| Annual Total | 12 | $53,439 |
In this example, the three peak months generate 39% of the total annual revenue.
Seasonality causes nightly rates and occupancy to rise during high-demand months and fall during low-demand periods. In a typical beach market, peak summer rates can be 2-3x higher than winter rates, while urban markets may see less dramatic but still significant swings around holidays, conferences, and travel seasons.
Analyze 12-24 months of historical occupancy and rate data for comparable listings in your area using tools like AirROI. Look for recurring monthly or quarterly patterns -- rising occupancy signals peak season, declining occupancy signals off-season, and the transitions in between are shoulder seasons.
Yes. Strategies include targeting different guest segments per season (business travelers in off-season, vacationers in peak), offering length-of-stay discounts during slow months, adding cold-weather amenities for winter appeal, and using dynamic pricing to capture every available booking at the best possible rate.
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