
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 | 164 | Founded | 3 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | BusinessInvesting | |||

Is the short-term rental industry struggling — or simply growing up? In this episode of The STR Data Lab, AirDNA Chief Economist Jamie Lane sits down with Simon Lehmann to unpack what “normalization” really means for STR operators, investors, and pro... more
November delivered a mixed bag for short-term rentals — and this episode breaks down what really happened beneath the headline numbers. RevPAR dipped, occupancy softened, and demand growth slowed, but not for the reasons many hosts might expect. Jami... more
What happens when supply finally stabilizes, demand shifts gears, and the global economy refuses to follow the script? In this year-end Outlook episode, AirDNA Chief Economist Jamie Lane sits down with Bram Gallagher to break down what actually happe... more
The 2026 World Cup is shaping up to be one of the biggest short-term rental demand events in history—bigger than the Super Bowl, bigger than Taylor Swift tours, and long enough to make or break an entire revenue year. In this episode, Jamie Lane sits... more
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Stop saying the term sort of every fifth or so word. This verbal vomit is unnecessary and obscure some truly great content. Hey buddy.
I really enjoy the podcast most times however I just don’t trust air DNA data at all. I used it to make a buying decision on a rental house air DNA estimated the house would make $84,000 per year, luckily I didn’t go off that number, I went off $55,000 per year and the first year the property actually grossed $37,000. I think air DNA over inflates Their estimated rental income potential. What are your thoughts?
Full of actionable insights and interesting stories
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!
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Apple Podcasts | #195 | |
Apple Podcasts | #245 |
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This podcast provides valuable insights into the short-term rental (STR) industry, focusing on market data and trends that are essential for both new and experienced property owners. The discussions often center around pricing strategies, occupancy rates, and economic factors impacting the rental market, especially with major events like the World Cup approaching. The hosts frequently analyze shifting dynamics in supply and demand as well as how current economic conditions affect the STR landscape. With a combination of expert commentary and data-driven analysis, listeners gain actionable insights into improving their rental businesses and understanding the market landscape better.
Rephonic provides a wide range of podcast stats for STR Data Lab™ by AirDNA. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to STR Data Lab™ by AirDNA and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
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These podcasts share a similar audience with STR Data Lab™ by AirDNA:
1. Bill Faeth Unfiltered
2. On The Market
3. Short Term Rental Secrets Podcast
4. Real Estate Rookie
5. BiggerPockets Real Estate Podcast
STR Data Lab™ by AirDNA launched 3 years ago and published 164 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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Recent guests on STR Data Lab™ by AirDNA include:
1. Rebecca Ballart
2. Rohit Bezewada
3. Ashley Ching
4. Tim Rosolio
5. Brittany Magsig
6. James Savier
7. Eric Breon
8. Louis Andrews
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.