AI Lead Source Attribution
The Problem
“You’re spending on leads you can’t attribute—so budgets optimize for clicks, not closings”
Organizations face these key challenges:
CRM shows “unknown/other” or wrong source for a large share of leads (especially calls and portal inquiries)
Conflicting numbers between ad platforms, call tracking, portals, and the CRM create reporting debates instead of decisions
Agents forget or mis-tag lead sources, causing attribution to vary by office/team and breaking dashboards
Marketing can’t tie spend to down-funnel outcomes (appointments/closings), so optimization is guesswork
Impact When Solved
Real-World Use Cases
AI for Finding High-Potential Real Estate Investments
It’s like giving every real-estate investor their own tireless analyst that quietly scans thousands of properties and markets in the background, then taps you on the shoulder when it finds deals that match your strategy and are likely underpriced or high-potential.
AI in Real Estate: Price Prediction and Lead Scoring
This is like giving every real-estate agent a super-smart assistant that can (1) estimate what any property should be worth and (2) tell you which potential buyers are most likely to actually close a deal.