This paper analyzes the characteristics that influence the revenue of Airbnb listings in Sweden, aiming to uncover the factors driving high competition in the hotel business due to the sharing economy. By investigating the relationship between Consumer Trust The- ory and Hedonic Pricing Theory in the context of Airbnb, the study identifies variables that contribute to the success of hosts in this sector. Utilizing panel data analysis with panels nested in host ID and property ID, the research integrates theoretical concepts and empirical data to offer practical applications for hosts seeking to enhance their listings' performance. The findings reveal that Airbnb revenue positively correlates with a higher number of booked reservations, bedrooms, bathrooms, reviews, and photos. Listings with flexible cancellation policies and those priced in local currency also experience increased revenue. Conversely, long stay duration requests from hosts, shared accommodation rooms, and instant bookings are associated with lower revenue. These results provide valuable insights for optimizing revenue strategies and improving platform design. The implications of this research extend to Airbnb hosts and online platform designers, offer- ing strategies to enhance revenue and user experience. Furthermore, the study contributes to a broader understanding of the tourism sector in Sweden and lays a foundation for future academic research on the economic and sociological effects of home-sharing ser- vices.