PLAY PODCASTS
Material Limits of Writing Offers on Back Tax Property (CFFL 0265)

Material Limits of Writing Offers on Back Tax Property (CFFL 0265)

Land Academy Show · Steven Butala & Jill DeWit

August 5, 201620m 14s

Audio is streamed directly from the publisher (feeds.podetize.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.

Show Notes

Material Limits of Writing Offers on Back Tax Property Jack Butala: Material Limits of Writing Offers on Back Tax Property. Every Single month we give away a property for free. It's super simple to qualify. Two simple steps. Leave us your feedback for this podcast on iTunes and number two, get the free ebook at landacademy.com, you don't even have to read it. Thanks for listening. Jack Butala: Jack Butala with Jill DeWitt. Jill DeWit: Hi. Jack Butala: Welcome to our show today. In this episode Jill and I talk about the material limits of writing offers on back tax property only. Great show today Jill. Before we get into it let's take a question posted by one of our members on successplant.com, our free online community. Jill DeWit: I'm going to preface this, this one's a little bit length so I'll try to condense it as I go through. Jack Butala: Length is good. Jill DeWit: You're right. Jack Butala: Length is detailed. Jill DeWit: Tim asked, I have a question about scrubbing the data in data doorstep. Jack addressed this to some degree in your program and I saw another member also addressing it here in the forums. I want to ask the question to a slightly greater depth or possibly a slightly different focus. This is good too. When I download the county data I scrub it exactly as Jack describes in the educational video. I eliminate no addresses, foreign addresses, duplicate entries, etc. Ultimately I'm left with many entries with no entry in the column that's like owner first name. I've seen every possible combination of letters and numbers as owners for these entries. Sometimes churches, ranches, pipeline companies, living trusts, and every other combination I can think of. I eliminate the ones that seem obvious, like large corporations, railroads, public utilities and so forth, but I live on the churches and the ranches and the developers and some of the others. I guess I'm using this as a rule of thumb. If it seems reasonable that my mailer might actually get in front of a real human being I might have a chance. I love that. For instance, there may be a church out there that has bought land with the intention of building but now needs to sell the land. What do other success plant members do when you're scrubbing your data? Is the ideal scenario that the land is owned by a husband and wife as individuals with the actual owner first name to plug in, or do you have varying shades of grey on this? Love to know what you guys think about this. Tim. Jack Butala: This is an outstanding question and I feel incredibly qualified to answer it. Tim, whatever you're doing I can tell you right now the way that you're approaching this and looking at it and just by this question, you're going to do incredibly well. You probably already have at whatever else you chose to do for a living but I'll tell you, my hats off. It makes me proud actually to even hear a question like this. There's a lot of questions in and out and through this whole question, lots of multiple questions, but I'll tell you what I think you're really asking is, how much is too far? How much data do I scrub out? How much do I leave in? What do you guys do? The answer is, part of this is art and part of this is science. You clearly have the science part down, but I can tell you that I have made mistakes in mailers in the past, sent offers out to corporations and railroads and churches and ranchers and developers and purchased property from every single one of them. Am I saying leave those all in? Absolutely not. One of your questions entwined in this was do I want Mr. And Mrs. Smith as a buyer only? That's the ideal situation. I think your yield percentages are going to be best there but you just really never know. There's a lot of fish in the lake and you're going to stick the line in the water and a very large percentage of the time it's going to work. There's no x y z way to scrub data. That's what makes it beautiful.