In this tech-forward episode of Nite Cap, the team dives into how artificial intelligence is transforming land investing. Guest Fred from Reworked AI explains how his machine-learning tool, “Betty,” identifies which property owners are most likely to sell—allowing investors to drastically reduce mailer costs, improve response rates, and eliminate the guesswork that plagues new and seasoned investors. The discussion breaks down the difference between traditional “spray and pray” mailing versus data-driven decisions, and highlights why AI-backed demographic scoring may be the biggest leap in mailing efficiency the land niche has ever seen.
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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