We start by sourcing the data.
Airbtics collects short-term and vacation rental data from dozens of sources, including Airbnb, independent property managers, and rental software providers.
We monitor them on a regular basis.
Once we acquire the rental data, we keep tracking them and collect various data from different time points. This allows us to understand their occupancy rates, pricing strategies, revenue, booking leading time, and guest demography.
We use cutting edge technology to understand the profitability of rentals
We also use Machine Learning and statistical techniques, such as, binary classifications, natural language processing, time-series analysis, to understand seasonality and revenue. Our end goal is to understand what makes vacation, short-term rentals profitable and their ROI.
Understanding the calendar data
One frequent question we are getting is how do we know if their calendar on Airbnb is booked or blocked by themselves.
We are able to estimate it precisely since we have conducted qualitative research on dozens of Airbnb hosts to understand their common behaviours and patterns. On top of that, by analyzing calendar data of listings from different time points, we are able to develop a model that can predict availabilities of listings.
We analyze each market before showing them on our platform
When we import a new region, our team gathers and researches about the region to ensure the quality of the data. This is to clean up anomaly data due to specific events.