11-50 employees
A real estate agency with 8 agents was generating 200+ leads monthly from online listings, but only 15% were serious buyers. Agents wasted hours calling unqualified leads, missing opportunities with genuine prospects.
Implemented an AI lead scoring system that analyzes lead behavior (website visits, property views, email engagement), demographic data, and communication patterns to assign qualification scores. High-scoring leads are prioritized for immediate agent follow-up.
Connected AI tool to CRM (HubSpot), website analytics, and email marketing platform. Trained the AI on 2 years of historical lead data, including which leads converted to sales. Set up automated lead routing based on scores. Created dashboards for agents to view lead quality and engagement history.
The AI identified patterns we missed - leads who viewed properties 3+ times and visited during weekday mornings had 78% higher conversion rates. Agents became more efficient and less frustrated. The system paid for itself in the first month through time savings alone.
We initially set the qualification threshold too high, filtering out some legitimate leads. We adjusted the scoring model after reviewing false negatives, finding the sweet spot that balanced lead quality with volume.