My goal is to build a data-driven tool that provides actionable insights into which neighborhoods and property types are in the highest demand, based on metrics like:Time on market: How quickly rentals are being leased.Property characteristics: Bedrooms, bathrooms, size, and amenities.Pricing trends: Rental rates relative to market demand and property features.Visual quality: Leveraging property photos to analyze the style and condition of rentals that perform well.The tool will allow users to:Pinpoint areas with the fastest rental turnovers.Understand what types of properties (size, price range, features) rent the quickest.Gain deeper insights into property presentation and amenities that correlate with high demand.Thank you in advance for your feedback.

I too believe that economies of scale will will give us more bang for our buck, but since MTR data is fairly new, it was also difficult to analyze the profit potential for a new 4plex.

And that data will come from MLS Avaliable lots etc etc..

For me, I’ve been testing a few different methods recently, but I’m always looking for new ideas to take my wholesaling game to the next level. 

Everyone knows who the new person is and the goal is always to mess with them and test them and try to get them to spend their money on the junk so we can get the good ones. 

It was a test, sounds like not a successful one.

Even in disclosure states, sales data is not all reported to the sites so you need the MLS to be the most accurate.

Its pros include streamlined property tracking, access to owner data, automated direct mail campaigns, and team collaboration features.

Any other major syndication site has restricted sold data so it will be incomplete.

We have data to look back to for direction on our path forward, do we not?