Whether you're on your first property or your 100th, having the right market data is crucial to starting and scaling your short-term rental business. Join Travel Economist Jamie Lane as he provides trusted insights and delves deep into the numbers that drive this multi-billion dollar industry.
Publishes | Weekly | Episodes | 77 | Founded | 2 years ago |
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Number of Listeners | Categories | BusinessEntrepreneurshipInvesting |
In this episode of the STR Data Lab podcast, hosts Jamie Lane and Scott Sage breakdown some short-term rental data analysis focusing on the impact of amenities on property performance. The episode kicks off with a lively discussion about the signific... more
In this episode of the STR Data Lab, Jamie Lane, Chief Economist of AirDNA, interviews Erwan Le Roy, founder and CEO of Cash Flow Street. Erwan shares his journey from tech engineer to vacation rental investor, highlighting his strategy of building p... more
In this new episode of STR Data Lab, Jamie Lane, Chief Economist at AirDNA, and Scott Sage, VP of Marketing, dive into the hot topic of rental arbitrage in 2024. They reflect on the ups and downs faced by arbitrage businesses, from scaling challenges... more
In this episode of the STR Data Lab podcast, host Jamie Lane welcomes AirDNA’s Economist, Bram Gallagher, to explore February's short-term rental performance dynamics. After a January dip due to a northern cold snap, February showcased a robust 15.6%... more
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Thanks for all the great info on STRs!
An awesome way to stay up-to-date on all of the short-term rental industry trends!
The best banter, the best data, and so much more!
Been waiting for this! Great content plus first hand data right from the source!!
Apple Podcasts | #231 | United States/Business/Investing |
Listeners, engagement and demographics and more for this podcast.
Listeners per Episode | Gender Skew | Engagement Score | |||
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STR Data Lab™ by AirDNA launched 2 years ago and published 77 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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