Tune in as the team discusses:

How Fred used AI to cut massive mailing expenses while maintaining (and often improving) deal flow
Why machine learning removes human assumptions and eliminates bias in seller targeting
Which demographic trends and owner behaviors indicate someone is ready to sell
How AI can turn a large mailing campaign into a smaller, more profitable list
The difference between language model “hallucinations” and supervised machine learning
Why both individual owners and entities like LLCs and schools can now be scored accurately
Why scrubbing your list manually is a costly mistake that can eliminate hidden opportunities
How smarter mail targeting reduces financial waste and environmental impact
Why data—not emotion—is the key to consistent, scalable land investing success

TIP OF THE WEEK

“Data, not trauma. Stop making decisions based on assumptions or past emotional experiences. Let the numbers tell you what’s real.” — Scott Bossman

“Don’t be a land snob. If the numbers work, there’s a buyer. Weird properties still sell when you get them at the right price.” — Mike Zaino

“Momentum matters. Use tools that remove busywork so you can stay consistent. Efficiency creates deal flow.” — Jon Burnett

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Building Robots for Humans (Rebroadcast)