What if you could predict which properties are most likely to sell before the seller even knows they want to? Monica from DataFlick joins us to reveal how AI and machine learning are giving investors an unfair advantage in finding off-market deals. With thousands of data points analyzed in real time, DataFlick delivers a ranked list of properties most likely to sell—helping investors hyper-target their marketing, reduce wasted budget, and close more deals. We dive into how predictive data works, why some counties are marketing money pits, and what marketing strategies investors are using right now to get the best ROI. If you're serious about finding deals before your competition, this episode is a must-listen.
 

Mentioned in this episode:

Guide to Direct Mail w/ Niche Data: https://drive.google.com/file/d/1sIXL1Xn73lAWJj65Z4bDWrepWWz0eJ00/view

Check out DataFlick's Market Map: https://www.dataflik.com/market-map?oid=7&affid=26

Connect w/ Monica: https://www.linkedin.com/in/monicafullerton/

DataFlik on YouTube: https://www.youtube.com/@dataflik_official

Key Quotes:

💬 "Most investors are burning through time and money marketing to the wrong properties. Our AI lets you cut through the noise and focus on sellers who are actually ready to sell."

💬 "Predictive data isn’t about chasing leads today—it’s about being the first person a seller calls when they’re ready in four months."

💬 "Every county isn’t created equal. We can show you which markets are worth your marketing dollars—and which ones to avoid completely."

About Monica:

Monica’s passion for new build residential properties and her ambition to grow her own real estate portfolio are central to her professional journey. At DataFlik, she leverages her deep industry knowledge and strategic acumen to facilitate innovative solutions that benefit investors seeking lucrative property opportunities. Her work continues to propel her forward in the real estate sector, aligning perfectly with her personal and professional goals.

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