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Maximising Hotel Profitability by Measuring Willingness to Pay

Maximising Hotel Profitability by Measuring Willingness to Pay

Maximising Hotel Profitability by Measuring Willingness to Pay


Setting optimal and attractive prices

This will enable you to set prices at a level that allows you to maximise profits and increase customer satisfaction.

Setting optimal and attractive prices

This will enable you to set prices at a level that allows you to maximise profits and increase customer satisfaction.

As a hotelier, it’s vital that you understand the concept of willingness to pay as it helps you identify the value that guests place on your rooms and services. You can then use this information to determine pricing strategies that reassure customers that they are getting value for their money, whilst still ensuring that you make a profit

With this concept in mind, we have created a short guide to help you maximise profitability by measuring willingness to pay.

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What is willingness to pay?

The concept of willingness to pay (WTP) relates to how much a customer is prepared to pay for a product or service. In the hotel industry, this means how much guests are prepared to pay for a room and for each of your ancillary services.

As a hotel revenue manager, it’s essential that you understand this metric as it enables you to set optimal prices that are attractive to guests whilst still generating enough revenue to cover operational costs and maximise profits. If your rates are too low, then you won’t generate enough income to grow your business, but if you charge too much then you risk sending potential guests to your competitors. Moreover, understanding this metric also enables you to personalise your services so that they meet customer needs and expectations.

It’s also important to note that willingness to pay isn’t a fixed metric. You will usually find that each of your specific guest segments has a unique willingness to pay scale. For example, age, gender, income, education, and geographic location will all impact how much a guest is willing to pay. Moreover, willingness to pay can also fluctuate depending on external factors including economic climate, seasonal and market trends, and competitor value. That’s why it’s so important to track this metric on a regular basis so that you can continuously adapt your pricing strategies accordingly.

How to conduct a willingness-to-pay analysis 

As we mentioned above, the best way to maximise profitability in your hotel is by conducting a regular willingness-to-pay analysis. This will help you determine the maximum price that customers are willing to pay for each product and service that you offer. That way, you can set your prices at a level that enables you to maximise profits and boost customer satisfaction.

So, what does a willingness-to-pay analysis involve?

Let’s find out.

Conduct market research

The first step in determining willingness to pay is conducting thorough market research. This is important because one of the biggest factors influencing what a guest is prepared to pay is market demand. In other words, the more people want a product or service that you are selling, the more they will be willing to pay for it.

How much do similar hotels in your area charge for their rooms and services? Take a look at their online reviews: Do guests seem happy with the quality they receive compared to the price that they pay? What about your own hotel’s online reviews? Do guests express satisfaction with the quality and level of personalisation that they receive? How often do they mention your rates? Are they happy with them?   

You should conduct this type of market research on a regular basis so that you can determine how sentiment fluctuates in line with external factors such as economic climate, seasonal and market trends, and competitive value. Also, try to break down your findings by your different guest segments so that you get a clearer idea of how much each customer profile is willing to pay.

Finally, it’s also a good idea to share regular customer surveys to find out if your guests were happy with their stay and if they felt they got quality for their money. Does feedback suggest that they would be willing to pay more for what they experienced? Or do they feel that they overpaid?

Measure the quality and performance of your hotel

The second essential factor that you need to consider when you conduct your willingness-to-pay analysis is the quality and performance of your hotel. After all, if you are not offering quality, then you can’t expect guests to pay a premium for your rooms and services.

Start with performance. One of the best ways to secure revenue growth in your hotel is by monitoring your performance KPIs. This includes your occupancy rates, repeat customer rates, and ARPA (average revenue per account). It’s also essential that you regularly track customer loyalty rates as well as how much each guest spends during their stay (room rate plus add-ons and ancillary services). 

The final step in the process is measuring the quality of your hotel. BEONx’s revenue management solution includes a pioneering feature that can help with this. Our unique Hotel Quality Index (HQI™) uses machine learning algorithms to measure the overall quality and performance of your hotel by taking into account important factors including pricing, reputation, availability, and demand. This can help you determine your hotel’s perceived level of quality so that you can adjust your prices in line with guest expectations and competitor pricing. You can also uncover valuable feedback that can help you continuously enhance your guest experience. And the more exceptional your guest experience is, the more customers will be willing to pay for your rooms and services.


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“Beonprice has not only helped us in a technological way, but also in a human way. The support and understanding of the people who make up Beonprice, especially during the difficult times we have gone through in recent years, has been exceptional. The team is remarkable.” – 

Pedro Pavón,  Revenue

Management Director at Casual Hoteles.

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