Customer relationship management is a method for overseeing a company's interactions with current and future customers. With a particular focus on customer retention and achieving sales growth, the analysis of purchase history data is used to improve business relationships with customers. Customer engagement and satisfaction are highly dependent on after-sales support. This affects consumer behavior, perceived value and satisfaction. In addition, maintaining customer loyalty requires providing after-sales support. This thesis examines customer satisfaction with auto repair services using data from a sample of seventy-five respondents. The goal of the research was to determine the essential elements of the offer that influence customer satisfaction. The theoretical part of the work is based on the idea of service quality and user satisfaction, which includes aspects such as material components, security, responsiveness, reliability and empathy. Customer satisfaction is a key metric for determining service success, and service quality is characterized as an organization's ability to meet or exceed customer expectations. According to the analysis of the results, the majority of users express their satisfaction with the following: ease of scheduling an appointment; honesty in cost estimation; Troubleshooting; quality equipment; appearance of the service workshop; facility accessibility; and the friendliness of the staff. The friendliness of the staff and the ease of scheduling an appointment received the highest level of satisfaction.