LeadEngine — Real Estate Lead Scoring
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 entirely. What sales managers actually need is a system fast enough to route leads in real time, transparent enough that agents trust it, and accurate enough that it changes who gets called first.
What We Built
A lead scoring system that evaluates 12 signals in under 10 milliseconds and classifies every inbound lead into High, Medium, or Low priority tiers, with a confidence score and a clear recommendation attached.
The 12 signals span three categories:
- •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 95% High with "priority follow-up within 24 hours" tells the agent to act today. A lead scoring 90% Low tells the manager not to waste a senior agent's time.
Outcome
The team stops calling every lead in the order they came in. Inbound leads are scored, ranked, and queued by tier — and the senior agents on the floor know which ones to call first. Lead allocation becomes a function of buyer intent, not arrival time.
See It in Action
A property buyer lead scored across all 12 signals — age 36, $110K income, 720 credit score, 9 property views, inquiry submitted and budget disclosed — classified as Medium priority at 79% confidence in 8ms.