Antecedência de reservas e precificação dinâmica no Airbnb: uma análise do mercado de Florianópolis no réveillon

Abstract

This study investigates the relationship between booking lead time and dynamic pricing in the short-term rental market via Airbnb, focusing on the New Year's Eve period from 2021 to 2024 in Florianópolis, Santa Catarina, Brazil. The objective is to analyze how booking lead time impacts pricing in order to identify Revenue Management strategies that maximize hosts' revenue. The study uses a dataset provided by Seazone. The methodology includes descriptive statistical analysis, clustering based on booking lead time, and the application of histogram and scatter plots to evaluate booking patterns and price variations over time. The results indicate that most reservations occur with short lead times, suggesting a possible impulsive purchasing behavior among consumers. Furthermore, it was observed that average daily rates tend to decrease as the check-in date approaches, contradicting traditional hotel industry pricing practices. Given this scenario, the study suggests the adoption of more structured Revenue Management strategies by Airbnb hosts in the short-term rental sector, aiming to balance supply and demand without the need for abrupt price reductions.