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Question 1: How do you implement dynamic pricing models to respond to fluctuations in demand during high and low seasons?

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Question 2: How do you assess and adjust your forecast when there is a shift in guest booking behavior, such as an increase in last-minute bookings?

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Question 3: What key data points should be incorporated into a demand forecast for a hotel to ensure accuracy?

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Question 4: How do booking lead times impact forecasting accuracy, and how should a Revenue Manager account for them?

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Question 5: How does a Revenue Manager incorporate competitor data into the demand forecasting process?

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Question 6: How do you use psychological pricing tactics (e.g., $199 instead of $200) to optimize revenue without compromising perceived value?

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