The importance of properly managing the post-service customer experience has been widely suggested in the service marketing literature. A popular post-service managerial practice in the hospitality industry is conducting a customer satisfaction survey (CSS) and responding to the customers who complete the survey. In this dissertation, I investigate the effect of conducting a CSS and responding to the customers who participate in the survey. First, I examine how customers would decide to post online reviews if the hotel does not examine the CSS. Then, using a panel data model, this dissertation empirically investigates how the post-survey managerial interaction can impact the customers' future satisfaction and online word-of-mouth behavior (i.e., eWOM). Finally, a Hidden Markov Model (HMM) is used to understand how customers' loyalty to the hotel that is measured by the booking channel selection (i.e., OTA vs. direct booking) can be improved as a function of the post-survey managerial interaction.