About this Event
Learn how predictive data reveals who is most likely to sell—and how REALTORS® use it to win more listings with less guesswork.
Most REALTORS® are still chasing listings after sellers raise their hand.
Top producers do something different.
In Predictive Data Analytics, you’ll learn how consumer behavior, data aggregation, and real-world triggers can identify homeowners who are most likely to sell—before they list their property publicly.
This session breaks down a complex topic into simple, actionable strategies REALTORS® can apply immediately to increase listing opportunities and improve quality of life.
What You’ll Learn
- What predictive data analytics actually is (without tech jargon)
- How online behavior signals when someone is thinking about selling
- The most powerful seller “triggers” that predict future listings
- How absentee owners, landlords, and vacant properties fit into predictive models
- Why handwritten notes and direct outreach still outperform automation
- How REALTORS® use predictive data to prioritize sellers instead of guessing
- How this system consistently leads to more listing-side transactions
Why This Matters
Predictive data is already used by the world’s largest companies—Amazon, Apple, Zillow, and major insurers.
This class shows how REALTORS® can apply the same thinking ethically and practically at the local level.
You’ll walk away understanding how to:
- Spend less time prospecting the wrong people
- Focus on sellers with higher probability of listing
- Shift from buyer-heavy production to listing-driven income
- Build repeatable systems that scale over time
Who Should Attend
- REALTORS® who want more listings
- Agents tired of cold prospecting with low conversion
- REALTORS® interested in systems, leverage, and smarter marketing
- Professionals who want data-supported decision making—not guesswork
Event venue & nearby stays
KORE Mortgage, 1266 Alverser Plaza, Midlothian, VA, USA, United States