cancellations

An Independent Hotelier’s Guide to Cancellation Policies

Cancellation policies protect a hotel’s bottom line by preventing last-minute cancellations and no-shows while encouraging client loyalty when booking

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Managing Hotel Overbookings and Cancellations

Discover how hoteliers can optimize room bookings, tackle overbookings, and minimize revenue losses due to cancellations

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5 Ways to Reduce No Shows and Cancellations at your Hotel

A no show hotel reservation is probably a Hotelier’s worst nightmare. Dealing with situations that directly affect your profit margins, is a major challenge

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Managing Hotel Cancellations to Optimize Revenue and Guest Satisfaction

Let us delve into the challenges associated with managing hotel cancellations and explore effective strategies to minimize their impact

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To Refund or Not to Refund?

Confronted with unimaginable numbers of cancellation requests and refund claims, for the main part the industry reacted sympathetically to customers

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8 Actionable Tips to Prevent and Profit From Cancellations

You suddenly find yourself with a slew of last-minute cancellations and bend over backwards trying, desperately, to sell those rooms

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3 Hotel Forecasts for Winter 2022 to 2023

Although it is impossible to predict the future with 100% accuracy, a hotel can and should work on scenarios based on available market data

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How To Avoid Cancellations And Minimise Impact On Your Hotel

The risk of cancelled reservations is something inevitable for every hospitality property. NB: This is an article from yieldPlanet Some guests will always cancel the reservation for different reasons, but […]

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Three Most Common Trends Impacting Cancellation Rates

Cancellation rates have risen rapidly so, what are the three most common trends impacting cancellation rates and how can you reduce them?

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Accommodation Preferences Post COVID: Back to Normal or New Normal?

Improved attitudes towards all forms of accommodation seem likely in the future given the speed of recovery so far and strong underlying demand for travel

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