AirDNA ADR Data

[Vincent Pecora]

Hi Everyone:

Newbie who just enrolled in AirDNA to analyze STRs and had some questions for those who are familiar with the tool.  I selected my target market based on some macro-level, historical averages for revenue, occupancy, and ADR.  The ADR figure looks pretty great, even when factoring in occupancy, but when I did a quick AirBnB search of properties in that market to "sanity-check" the data, I noticed that the nightly rates for the properties that were in line with the ADR that I pulled were a lot nicer than the ones that I'm targeting to buy.  This suggested to me that the ADR data I pulled may have been disproportionately inflated/driven up/skewed by the "mansion listings."  I'd like to independently validate the ADR that I pulled through AirDNA.  Is that possible?  If so, does anyone have a good methodology that would work?  My thought was to run a filter search in AirDNA using property values/features (e.g., # of BR, pool, etc.) and individually check revenue for the homes that had values/features similar to my buy box.  Any better methods out there?  Thanks!

[Sarah Kensinger]

You can run different filters if you like, but the difference is the cleaning fees are included. Since Airdna scraps data from Airbnb and VRBO, they are pulling the revenue deposited in the main account a host has provided. The OTA deposits everything in one account and then the host would pay the cleaners. So, unfortunately due to that Airdna can't separate the cleaning fees from the nightly rate.