FOUNDATIONAL STRATEGY | Data-Driven Prospecting for Lisiting Appointments

Identify Homeowners Thinking About Moving

Pull household data, run it through AI to spot likely sellers, and launch a 6-week CRM campaign that books real listing appointments.

Takeaways

The 3-Step Motivated Seller Prospecting Blueprint

Stop door-knocking at random or relying on old lists. This 3-part implementation series shows you how to extract neighborhood data using WFG Flash and Fetch, run predictive AI models to find motivated sellers, and set up a 6-week CRM sprint that converts.

The 3 Key Takeaways

Phase 1: Data Extraction & Skip Tracing: Use WFG Flash and Fetch to pull targeted neighborhood records, clean up your lists, and skip trace contact info so you have verified phone numbers and addresses.
Phase 2: AI Predictive Scoring: Run your raw data through AI prompts to analyze turnover indicators, rank homeowners by likelihood to move, and focus your budget on the top prospects.
Phase 3: CRM Setup & The 6-Week Sprint: Import your final list straight into your CRM, turn on automated follow-up workflows, and execute a structured 6-week sprint designed to turn cold leads into face-to-face listing appointments.

"Predictive prospecting replaces guesswork with precision, letting you focus your energy strictly on homeowners who are actually ready to sell." — PropTech Zack

UPCOMING LIVE SESSION • RESERVED ACCESS

Request Your Next Listing Appointments Session

Join me for a three-part implementation series to build your data-driven targeting system, set up custom CRM workflows, and launch your 6-week sprint.

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