European Journal of Tourism Research: Airbnb listings’ performance: determinants and predictive models
Summary
This study analyzes Airbnb listings in Thessaloniki, Greece, focusing on factors influencing occupancy, bookings, and revenue. It highlights the significant role of the host in performance, with Random Forest models outperforming competitors. The research provides valuable insights for hosts, property managers, and regulatory bodies.
Key Insights
- •The research analyzed the Airbnb market in Thessaloniki, Greece.
- •Random Forest outperformed other models.
- •The study analyzed occupancy rate, number of bookings, and revenue.
Action Items
- ✓Consider focusing on the factors that drive customer purchase intentions in your listing.Effort: lowImpact: medium
- ✓Analyze guest ratings and feedback for your property to improve performance.Effort: lowImpact: medium
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