All Forum Posts by: Martha Jardine Wilson

@Chavez Allen Hey Chavez! Nice to hear you're starting out with Airbnb. Did you manage to get your account unblocked? 
I am a customer success agent at AirDNA. Knowing how to price your property is key when starting out on Airbnb, our tools allow you to analyse your competitors and price accordingly. Drop me a message for some more info! 

@Husain Abdul-Malik Welcome to BP! BP is a great resource for real estate decisions and advice. Feel free to connect! 

@David Gaudet Welcome! I am a customer success agent at AirDNA. The key thing to remember with our occupancy rate calculation is that as the majority of AirBNBs are not listed for 365 days per year we calculate our occupancy rate based on how many days the listing was available to book within the year. 

For example, if a property is available to book for 6 months of the year and has reservations for 3 months. The property would have an occupancy rate of 50%.

We would be happy to run through a demo of our tool with you to help you make a smart decision. Just let us know! 

@Mike V. Hey Mike! 
As the majority of professional hosts are using multiple platforms like yourself our algorithm is modelled to account for these bookings. No matter where a booking actually occurs, the core signals to our algorithm remain the same. In most circumstances, bookings from other platforms will also be picked up as a reservation by our model. This is most likely the case for your property. Feel free to drop us a message with your property ID and we can take a further look together. 

@Fred Ewert
We have data looking back to October 2014 which allows you to analyse the trends of supply and demand in Fort Waynes. You will be able to filter this down to your type of property and see the seasonality of the market. Feel free to reach out to us and we can discuss Fort Waynes in more detail. 

@Grant Rothenburger @Travis Rasmussen I'm glad you found our data to be useful and had a positive experience with our team here! 

@Carl Mccrory
Hey Carl, 

Here's a quick summary of how we gather and process our data here at AirDNA

1. Every day we ping five million rental listings around the world and look for any changes to the availability of every calendar day over the next year
2. We record any changes to the calendar and record some key characteristics such as length of stay, booking lead time, property booking history, reviews, host response rates, and much more.
3. Our proprietary algorithm analyzes every new set of unavailable calendar days to determine whether the dates are a reservation or blocked by the owner
4. We then record each unique reservation and determine the value of each reservation using the rates that were available the day before the booking was made.

How the algorithm works:
In 2015, we were able to secure a dataset of over 30 million actual Airbnb reservations. We were able to dissect each of the reservations to create a list of signals, that in combination, could predict what is a reservation vs. a blocked set of dates with 92% accuracy.

Over the course of the last few years, we've acquired data on over 100,000 short-term rentals from an assortment of software provides and large vacation rental managers which allow us to continually adapt our model to the evolving marketplace.

So.. how accurate is all of this algorithmically generated data?
Is our data 100% fail proof? Absolutely not. Is it light years ahead of anything else on the market? There's no doubt in our minds. 
CBRE has compared our algorithm output with Airbnb's official announcements and has found it extremely close. Our estimate for the total revenue generated by every listing in the DC market for an entire year was 96.2% accurate. 

Feel free to reach out to us and we can discuss Destin, FL in more detail.