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Booking Behaviour by City
Hotels behave differently in every city — this category explains how and why. It analyses booking windows, last-minute vs advance demand, weekday vs weekend patterns, and seasonal behaviour across business, leisure, pilgrimage, and tourist destinations. These insights help hotels align pricing and availability with actual city-level demand behaviour instead of applying generic strategies across all locations.


How Seasonality Changes Guest Decision-Making in Indian Markets
Most hotels understand seasonality. Very few understand how seasonality changes guest psychology. That difference is costing hotels revenue. In Indian markets especially, guest decision-making shifts dramatically between peak season, shoulder season, off-season, long weekends, festivals, and exam months. Yet many hotels continue using the same pricing logic, cancellation policies, promotions, and OTA strategy throughout the year. Seasonality is not just about demand volume.It
Ameet Saiyam
Feb 123 min read


Last-Minute Cities vs Advance Booking Cities: How to Identify Yours
Most hotels make one silent mistake. They copy pricing strategies from other cities. Same discounts.Same rate plans.Same promotion timing.Same “early bird” offers. But here’s the truth: 👉 Not all cities behave the same. Some cities are last-minute markets .Some cities are advance booking markets . If you don’t know which one you are in, your pricing, promotions, and OTA visibility will always be misaligned. Let’s break this down properly. What Is a Booking Window? A booking
Ameet Saiyam
Feb 123 min read


Why Booking Windows Differ by City (And Why Hotels Ignore It)
Most hotels track occupancy.Some track ADR.Very few track booking windows properly. And almost none adjust their pricing, visibility, and promotion strategy based on how their city actually books . That’s where revenue leakage begins. Let’s break this down. What Is a Booking Window? A booking window is the number of days between when a guest makes a reservation and when they check in. Example: Guest books today for tomorrow → 1-day window Guest books today for 45 days later
Ameet Saiyam
Feb 123 min read
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