Excluding the exigent circumstances of 2020, the United States has approximately 4.9 million hotel rooms and, at any given time, approximately 3 million of those are occupied. The increased ability of people to travel all over the United States and the world is a trend that continues to rise. While hotels provide a number of amenities for guest comfort (i.e. WIFI, flat screens, entertainment etc.) is there a way to understand how well guests sleep in a given hotel? All of the other comforts are important, but customers are usually there to sleep. Is there a way to accurately track the sleep quality of a given hotel’s guests? This study is the first step to establishing a uniform standard for tracking sleep satisfaction and how sleep quality affects the overall customer satisfaction in a given hotel. This research offers a unique perspective to the existing literature because it shows a strong correlation between the rating of a good night’s sleep and the overall hotel experience. A number of factors contribute to the correlation. The research provides an incentive perspective for hotels because often it seems that the rate of return on increasing mattress quality, for example, is very low. However, this study would suggest that specifically modifying a few variables will allow an increase in overall hotel satisfaction without needlessly spending money. Background: As established earlier, people travel more both for business and pleasure. And, in an era of online reviews, consumer sleep quality could be a million-dollar question for hotel owners. An easy way to increase satisfaction is to lower cost, increase room size, upgrade the mattress quality etc., but this is a business. Hotels, like any other industry are looking for the best possible return on investment. Many websites and apps like Yelp, review hotels and allow consumers to do the same. But these ratings are somewhat arbitrary to hotel administrators. What is it that makes the overall satisfaction three stars instead of five? Are there simple measures to implement that would change the overall rating? This study suggests hotels can discern and make those changes. Applications:
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