![]() ![]() Just like any major street corner would if there was an "analyzer" for restaurants. the side with the major brand hotels)" and exclude "the side travelers are less likely to stay in, probably a full 50% of non-HOA single family residential properties in that half of any major American city would work for Airbnb and would be projected to make some enormous ROI. It's a bit like seeing someone who has never owned a restaurant point to a major street corner and say "a restaurant there could sell thousands of meals for $20 each!" If you manually cut a city in half to separate it into "the side travelers are more likely to stay in (i.e. These posts are pretty tiresome as is the concept that the difficult part of Airbnb is finding a property that would have the potential to be successful. Also aware that there's more to a successful Airbnb investment than 'buy, list, voila!' Sorry for the oversimplification. If you have any insights / general guidelines that can help me continue to use this tool, but have more realistic expectations of annual rental revenue (accurate but minus 10%, etc.), that would be much appreciated.Įdit: Using the word 'game' to describe a profession / business / occupation was a dumbo move on my part. I'm willing to accept that there may be a margin of error. If it's accurate, I'm looking at a $450k house with $130k rental revenue. Only interested in the accuracy of the Rentalizer portion. To be clear, I've read many posts about how AirDNA is not great at dynamic pricing, forecasting, etc. I found a property that I quite like, the numbers are phenomenal according to AirDNA, but wondering how much I can trust that info. Going to be getting into the Airbnb hosting game, but need to find my first property still.īeen looking at AirDNA using the Rentalizer tool (free) to compare different properties. ![]()
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