I am extremely proud to share that, by our estimation, we have achieved and far surpassed this $1 trillion objective.Among the 3.15 million members who have cumulatively joined BiggerPockets, our survey data indicates that 29% (913K) have reached millionaire status.

And for big developers or asset managers, there are platforms that use AI to optimize portfolios, forecast income, and reduce vacancy.Overall, it’s making things faster, more personalized, and way more data-driven.

They essentially do the time consuming analysis and data seeking for a fee.

In this series, I’ll walk you through key strategies, trends, and data to help you evaluate whether this is the right market for your portfolio.From short-term rentals to emerging zones and international event tourism… we’re just getting started.In the next 5 posts, you'll learn:Which zones are booming in 2025 (and still accessible).How to leverage the festival-driven demand.Why “staycations” are reshaping bookings.What to upgrade NOW in your listings to stand out.Where the real ROI is (beyond Tulum).

Open every cabinet door, test all appliances, run the water—both hot and cold.

They only allow you to upload one document - so at first glance the test for ownership/occupancy seems pretty low.

A cost segregation may not have an impact right now only because excess passive activity losses will be carried over either way if your deductions are already fully offsetting your income (it would suspend the losses, so it would be more useful potentially in the future).For the short term rental, you would have to meet the material participation and average rental period tests.

Like try to track data, metrics, how many exist, how many are occupied, how often, pricing etc. forecast your pricing, and estimate vacancy, then determine your desired threshold for cashflow vs risk, set an all in budget and let that budget make some of these determinations. 

Definitely worth testing a few with free trials to see what fits your workflow best.

A 2018 paper published by Harvard Business School using Yelp, Zillow, and Census data has mathematically shown something we all inherently know: The number of new Starbucks, grocery stores, cafes, bars, and restaurants do have an impact on house prices or the number of college-educated people living in an area (correlation and impact vary by city and variable).The converse also appears to be true.