Real-Time Lead Scoring for Property Purchase Leads
The Problem
Property sales teams treat every inbound lead the same. A first-time browser who clicked one listing gets the same follow-up cadence as a pre-approved buyer who's viewed 18 properties and submitted an inquiry. The result: agents burn hours chasing low-intent leads while high-intent buyers wait — and buy from whoever calls back first.
Most CRMs offer lead scoring, but it's either rule-based (if income > X, mark as hot) or so opaque that agents ignore it. What sales managers actually need is a scoring system fast enough to route leads in real time, transparent enough that agents trust it, and accurate enough that it meaningfully changes who gets called first.
What We Built
A lead scoring system that evaluates 12 signals in under 100 milliseconds and classifies every inbound lead into High, Medium, or Low priority tiers — with a confidence score and a clear recommendation.
The 12 signals span:
- •Demographic indicators — age, income, credit score
- •Behavioral signals — website visits, email opens, property views, time on site, contact attempts
- •Intent markers — whether an inquiry was submitted, financing is pre-approved, budget has been disclosed, and location preference is set
Each lead gets a tier classification with a confidence percentage. A lead scoring 99.3% High with "priority follow-up within 24 hours" tells the agent something actionable. A lead scoring 0.7% Medium tells the manager not to waste a senior agent's time on it.
How It Works
Lead data flows in from your forms, CRM, or ad platform. The model scores in real time — under 30 milliseconds in testing — and returns a tier, confidence level, and tier probability breakdown. Integrates into any existing lead routing workflow via API.
See It in Action
A property buyer lead scored across all 12 signals — age 45, $250K income, 780 credit score, 18 property views, financing pre-approved — classified as High priority at 99.3% confidence in 26ms.