Airbnb stands unique among its competitors and there are various features that analyses customer data through Data Analytics Technologies. There are different room request methodologies in Airbnb and these uniquely collect data on booking patterns and various prediction models are built based on these to obtain optimal pricing strategies.
Minimum Night Stay Requests – As part of this approach, customers can set minimum night requirements which are different for different season. This …show more content…
With Airbnb having more than 4000 properties in 2,500 cities worldwide, AirDna provides useful insights by analyzing monthly revenues, rate of occupancy and Pricing.
They provide Airbnb Entrepreneurs (People doing business from Airbnb) with the useful analytics information which can help them in improvising their business on Airbnb but also increasing Airbnb Revenue.
AirDna provides City Intelligence Report for every city based on people request. Sample Report for a city looks like the following,
Competition to Airbnb
Airbnb competitors belong from both the Hotels and Rent sharing websites like FlatClub, Wimdu and Roomaram. According to a study from Boston University, it has been observed that an increase in 1% in the listings on the Airbnb website impacts .05% of the quarter revenues of the big hotels. This pace of Airbnb’s growth can become a problem for the Big Hotels in future. Airbnb also has impacts on small hotels due to similar offerings. The hotel industry is continuously campaigning against Airbnb stating that listings declared on Airbnb Websites are illegal because of which the company is facing serious legal problems. This probe is based on laws which prohibit homeowner having more than one property to rent out living space for less than 30