Airbtics gathers and updates its data with this five-step process.
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 the data 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 of the most popular questions we get is: How do we know if the Airbnb calendar is booked vs. 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 behaviors 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 the availabilities of listings.
We analyze each market before showing them on our platform
For every region imported into the Airbtics platform, our team validates and ensures the accuracy of the gathered data through thorough research of that region. This is to clean up any data anomalies that come up. If you do not see your region on our dashboard, don’t hesitate to contact us.