Project Overview
We built an AI lead-scoring engine for a real estate brokerage that predicts which inquiries are most likely to transact, so agents spend their time on the leads that actually convert.
The Challenge
Agents chased every lead equally, wasting effort on low-intent inquiries while hot prospects cooled. There was no data-driven way to prioritize a flood of portal and web leads.
- High lead volume with no prioritization
- Agents spent equal effort on low- and high-intent leads
- Hot prospects went cold while agents chased dead ends
- No insight into which signals predicted conversion
Our Strategic Approach
We trained a predictive model on historical lead and transaction data, blending behavioral signals, property interest, and engagement to produce a calibrated conversion-likelihood score.
The Solution We Delivered
The platform scores and ranks every incoming lead in real time, explains the key drivers, and routes hot leads instantly to the right agent.
- Real-time predictive lead scoring
- Explainable score drivers per lead
- Behavioral and engagement signal tracking
- Instant routing of hot leads to agents
- Automated nurture for lower-intent leads
- Conversion analytics and model monitoring
Technologies Used
- Gradient-boosted models — Conversion-likelihood prediction
- Python / scikit-learn — Model training and evaluation
- Feature store — Real-time signal serving
- PostgreSQL — Lead and outcome data
- FastAPI — Real-time scoring API
- React — Agent lead dashboard
Development Process
- Data consolidation — Unified lead, behavioral, and transaction history.
- Feature engineering — Built predictive signals from engagement and intent.
- Model training — Trained and calibrated scoring models against outcomes.
- Serving & routing — Deployed real-time scoring with instant lead routing.
- Monitoring — Added drift detection and periodic retraining.
Results & Impact
Agents focused on high-probability leads, lifting conversion while reducing wasted outreach.
- Lead-to-deal conversion improved by 38%
- Agent time on low-intent leads cut sharply
- Hot leads contacted within minutes, not hours
- Clear visibility into what drives conversion
🎯 Key Takeaway
Predictive lead scoring turned an undifferentiated lead pile into a prioritized pipeline, directing agent effort where it pays off.
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