![]() ![]() ![]() To create an accurate demand score for properties, the Company created a booking curve based on average occupancy rates and how far in advance those properties were booked in the previous twelve months. blocked days, AirDNA’s algorithm analyzes the historical occupancy rates and booking lead times of every short-term vacation rental and predicts travel demand up to six months into the future based on real-time future bookings. Along with distinguishing between booked vs. reserved days, thus painting an accurate demand picture for any property in every market worldwide. AirDNA solves this issue through its Reservation Algorithm, which allows hosts and investors to distinguish between blocked vs. ![]() Reservation Algorithm: Determining overall demand, occupancy rates and booking rates for short term rentals in inherently difficult due to hosts blocking off specific dates for personal use.For a market with more than 1,000 active listings, customers are charged $99/monthĪirDNA’s “secret sauce” lies in its three internally developed algorithms: its (1) reservation algorithm, (2) matching algorithm and (3) pricing algorithm.Between 100 and 1,000 active listings, customers are charged $39/month.For a market with less than 100 active listings, customers are charged $19/month.The Company captures value by charging a monthly subscription price, which varies by the size of the target market: The Company tracks daily performance of short-term rental listings to provide market reports and data products that feature occupancy rates, seasonal demand and revenue generated by short-term rentals, enabling vacation rental entrepreneurs and investors to improve property performance and make better data-driven decisions. Through its use of artificial intelligence, AirDNA creates value for STR hosts and investors throughout the short-term rental lifecycle, which includes property selection, listing optimization, dynamic pricing and competitive benchmarking. Founded in 2014 by an avid AirBnB host, AirDNA (the “Company”) provides short term rental (“STR”) data and analytics. ![]()
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