Keeping up with Real Estate Data Sources for 2023 (LA 1918) - a podcast by Steven Butala & Jill DeWit

Transcript:

Steven Jack Butala:Jack and Jill here.

Jill K DeWit:Hello.

Steven Jack Butala:Welcome to the Land Academy Show, entertaining land investment talk. I'm Steven Jack Butala.

Jill K DeWit:And I'm Jill DeWit, broadcasting from the Valley of the Sun.

Steven Jack Butala:Today Jill and I talk about keeping up with real estate data sources in 2023. I'm going to tell a story here in a minute about explaining our business model to younger people recently and being laughed at pretty directly about how archaic they seem to think that it is. And then I think we all can learn something from it.

Jill K DeWit:Cool.

Steven Jack Butala:Before we get into it, let's take a question posted by one of our members on the landinvestors.com online community. It's free.

Jill K DeWit:Ryan wrote,"Hi all. I'm new to Land Academy as of a few days ago. I am new to land in general, but not to SFRs. I've done one land deal within the past month which has led me into Land Academy. I've watched Land Academy 3.0, I'm currently rewatching the video on DataTree and pulling a list. One thing I've encountered that I would love some clarity on is when you pull your list, how are you ensuring they are not church owned, HOA owned, et cetera. In the videos, Steve searches through a couple of records, but he doesn't have a method of bulk scraping out these type of properties In your opinions, is this something to care about or you just pull your list, scrub out the assessed improvements, and then mail it? I hope this question makes sense and thank you for the feedback and I'm stoked to work and learn with you all."That's cool.

Steven Jack Butala:Thank you for this question. And the question completely makes sense and it's a great one. So there's a reason I put it in this episode. So here's the deal. There are amazing improvements and ways to pull data, scrub it, and actually create a mailer and get it in the mail. If I talk about all of those in chapter four of Land Academy 3.0, a substantial number of people will get freak out and abandon the idea of sending a mailer out. So I have to teach the basics on a screen. And then this environment, which I love this question, is for us to address,"Hey, there might be a better way for you."If you're a super tech savvy person. The old way works great. Is it the fastest? Nope. Is the most accurate? I think so. But there are all kinds of ways to make it faster. That's kind of what this episode is about.
So the fastest and easiest way to scrub out people who own property, or entities that own property, in a mailer data set is to write a macro and YouTube's plastered with all kinds of those things and they are keywords. So I do address this in a pretty direct and simple manner in the program, just follow the program and you're going to do fine. If you want to write a macro to eliminate church owned properties and stuff, which I don't think you should eliminate churches at all.

Jill K DeWit:No, I bought from churches.

Steven Jack Butala:Right.

Jill K DeWit:Churches are great.

Steven Jack Butala:We all have. But there are place, like you don't want to send a letter to the United States government. So the US owns a lot of property and they end up in all of our data sets and they just need to be scrubbed out. You can write a real simple macro to do that. And that's what this episode's about is talking about making this more efficient.

Jill K DeWit:Well, you know what I was going to say too is I bought and sold properties that are in an HOA, so I don't want those out.

Steven Jack Butala:Yeah.

Jill K DeWit:So you got to really take a step back and think about what you're trying to take out.

Steven Jack Butala:Yeah, in general you don't want to make a data set smaller, but you also don't want to waste money on stamps On a mail on the mail. And I say stamps figuratively. Today's topic, keeping up with the real estate data sources for 2023. This is the meat of the show. A couple days ago,

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