Can You Really Trust That Revenue Projection? Inside How STR Data Actually Gets Made
Fri Nov 21 2025
LEARN HOW I ANALYZE IF A PROPERTY WILL WORK AS A STR 🔥 https://strlikethebest.com/strlitmustest?utm_source=pod
You're about to wire $150K for a down payment based on a revenue projection. But three different platforms just gave you three different numbers. Which one is real?
In this episode, Michael sits down with Jae Seok An, founder of AirBtics and former Meta software developer, to pull back the curtain on how short-term rental data actually gets built and more importantly, how to know if the numbers you're betting your money on are accurate or fantasy.
We break down:
The review-matching verification method that reveals when a property claiming 80% occupancy only has two reviews (the simple check sophisticated investors use before trusting any data)Why scraped data can actually be more comprehensive than first-party PMS data, and the real tradeoffs between accuracy and coverage that most investors don't understandHow 36 months of historical data reveals seasonality issues and bad comps that annual snapshots completely miss (this is why monthly breakdowns matter more than you think)The technical truth behind how platforms collect, process, and present your numbers, from data scrapers to cleaning algorithms to the alerts that catch when things go wrongWhy averaging three different data points guarantees you the wrong answer, and what to do instead when platforms give conflicting projectionsData confidence is the difference between taking action on great deals and second-guessing yourself into paralysis. When you understand how the numbers actually get made, you can finally trust your analysis enough to pull the trigger.
LEARN MY STR INVESTING & STRATEGIES 🔥 https://strlikethebest.com/wealthpod
Apply to work with Michael: https://strlikethebest.com/applypod
Follow Michael on Instagram: https://www.instagram.com/michaelchangbnb
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LEARN HOW I ANALYZE IF A PROPERTY WILL WORK AS A STR 🔥 https://strlikethebest.com/strlitmustest?utm_source=pod You're about to wire $150K for a down payment based on a revenue projection. But three different platforms just gave you three different numbers. Which one is real? In this episode, Michael sits down with Jae Seok An, founder of AirBtics and former Meta software developer, to pull back the curtain on how short-term rental data actually gets built and more importantly, how to know if the numbers you're betting your money on are accurate or fantasy. We break down: The review-matching verification method that reveals when a property claiming 80% occupancy only has two reviews (the simple check sophisticated investors use before trusting any data)Why scraped data can actually be more comprehensive than first-party PMS data, and the real tradeoffs between accuracy and coverage that most investors don't understandHow 36 months of historical data reveals seasonality issues and bad comps that annual snapshots completely miss (this is why monthly breakdowns matter more than you think)The technical truth behind how platforms collect, process, and present your numbers, from data scrapers to cleaning algorithms to the alerts that catch when things go wrongWhy averaging three different data points guarantees you the wrong answer, and what to do instead when platforms give conflicting projectionsData confidence is the difference between taking action on great deals and second-guessing yourself into paralysis. When you understand how the numbers actually get made, you can finally trust your analysis enough to pull the trigger. LEARN MY STR INVESTING & STRATEGIES 🔥 https://strlikethebest.com/wealthpod Apply to work with Michael: https://strlikethebest.com/applypod Follow Michael on Instagram: https://www.instagram.com/michaelchangbnb