The Influence of Price and Reputation on Review Count on the Airbnb Platform: A Poisson Regression Approach

Abstract

This study aims to analyze the impact of price and reputation on review volume (the number of reviews) received by rental properties on the Airbnb platform in the Jabodetabek region. Utilizing data from 1,152 properties listed on Airbnb, the study employs a Poisson regression approach to model the number of reviews as a function of rental price and property rating. The analysis results indicate that price has a significant negative effect on the number of reviews, whereas reputation (rating) has a significant positive effect. The model yielded a coefficient of -0.37 (p<0.001) for ln(Price) and 0.25 (p<0.001) for rating, demonstrating that price negatively influences review volume while reputation positively influences it. These findings suggest that higher-priced properties tend to receive fewer reviews, while properties with higher ratings tend to receive more reviews. The managerial implication of this study highlights the importance of competitive pricing strategies and efforts to enhance reputation in order to increase review volume, which can ultimately boost property visibility and demand.