Real estate lead scoring based on actual buyer intent
Give sales agents a practical order of follow-up and the context behind it, instead of asking them to guess which enquiry is serious.
The problem
Not every property enquiry deserves the same next action
UnitAtlas scores leads using visible factors such as interest count, recency, engagement frequency, unit match and consented browsing behavior. The breakdown stays available to the sales team.
What changes with UnitAtlas
- Sort leads by likely buying intent
- Understand the signals behind the score
- See the buildings and apartments a buyer explored
- Open a complete AI Brief before a call
How it works in UnitAtlas
Purpose-built workflows connected to the same live project data.
Complete buyer context
Bring together communication, consented activity, visited and shortlisted apartments, preferences and concerns.
Explainable scoring
Combine lead and behavior signals in a transparent 100-point score.
Explainable scoring
Combine lead and behavior signals in a transparent 100-point score.
Complete buyer context
Bring together communication, consented activity, visited and shortlisted apartments, preferences and concerns.
AI Brief and sales guidance
Add relevant public company context, show where the conversation stopped, identify what is pending and recommend the next steps.
Common questions
Tell us about your project
Book a focused 20-minute walkthrough. We'll show the buyer experience, live inventory, CRM and sales intelligence that matter to your team.
Quick response
We reply within 24 hours
Personalized demo
Built around your project and sales process
No commitment
Free consultation, no strings attached