AirDNA vs what AirBNB actually shows

[David Abbate]

So, I'm certainly not a power user or expert on AirDNA- but, when I pick a location and it's telling me what the daily rate is, and I go to AirBnB and look up what is really being listed in the area, AirDNA is just way off. AirDNA is projecting way to high of daily rates, from what I'm seeing.

I'll give you an example. San Pedro CA. AirDNA would have you has $238 as the daily rate. AirBnB tells a different story. As in, $100 a night less different. 

If what is't doing is simply averaging out all the listings, thats about as usefull as telling me the average income of people at a wedding that included Waren Buffet as a guest. 

So my question- how useful is the rest of the data it's supposedly gathering? 

Asking because I'm hearing more an more people relying on AirDNA data for purchasing. And they don't seem to be asking these questions. 

[Brett Deas]

First, make sure the listing you are looking at doesn't have anything special attached to it (I.E. discounts and things). 

The way Airdna gets their data is vis a scrub, they take the last known price for a date that goes unavailable and assumes that means it booked at that price. Obviously, this helps them compile a massive amount of data for a market (which is certainly helpful), but on a specific property basis not as accurate. 

If you want something better try Pricelabs as they get their data directly from property managers. 

[Carlos Ptriawan]

Quote from @David Abbate:

So, I'm certainly not a power user or expert on AirDNA- but, when I pick a location and it's telling me what the daily rate is, and I go to AirBnB and look up what is really being listed in the area, AirDNA is just way off. AirDNA is projecting way to high of daily rates, from what I'm seeing.

I'll give you an example. San Pedro CA. AirDNA would have you has $238 as the daily rate. AirBnB tells a different story. As in, $100 a night less different. 

If what is't doing is simply averaging out all the listings, thats about as usefull as telling me the average income of people at a wedding that included Waren Buffet as a guest. 

So my question- how useful is the rest of the data it's supposedly gathering? 

Asking because I'm hearing more an more people relying on AirDNA data for purchasing. And they don't seem to be asking these questions. 

 This is the problem where you get secondary data from second hand data provider. I never believe Airdna "methodology" is accurate.

Data is there from Airbnb itself ; and Airbnb already announced that their ADR in US is only hundred fifty bucks LOL. 
 
Let me ask you, if you book a hotel do you book from hotels.com or some travel agent that may jack up the price ?

[Mike Hern]

Quote from @David Abbate:

So, I'm certainly not a power user or expert on AirDNA- but, when I pick a location and it's telling me what the daily rate is, and I go to AirBnB and look up what is really being listed in the area, AirDNA is just way off. AirDNA is projecting way to high of daily rates, from what I'm seeing.

I'll give you an example. San Pedro CA. AirDNA would have you has $238 as the daily rate. AirBnB tells a different story. As in, $100 a night less different. 

If what is't doing is simply averaging out all the listings, thats about as usefull as telling me the average income of people at a wedding that included Waren Buffet as a guest. 

So my question- how useful is the rest of the data it's supposedly gathering? 

Asking because I'm hearing more an more people relying on AirDNA data for purchasing. And they don't seem to be asking these questions. 

If I remember correctly, someone said one includes cleaning fees and all other fees in their data and the other one doesn't.

[David Abbate]

Looks like another tool that in the right hands, used the right way might have some kind of value- and will otherwise largely mislead inexperienced, hopeful would be investors. 

[Mohammed Rahman]

@David Abbate - I don't really rely much on data aggregators like AirDNA or Zillow price suggestions or even Rentometer - they just pull the mean or average of last known transactions and extrapolate. 

Better to just look at listings yourself near the property you're wanting to rent out and take it from there.