Property Matching Systems
When a new listing matches an active buyer in your database, that buyer receives a personalized alert within minutes — with a direct booking link. No manual searching, no missed matches.
Property Matching Systems automatically connect the right listing to the right buyer the moment a property comes available.
We build the matching engine that watches your listings, scores them against every active buyer profile, and sends personalized alerts when a match exceeds the threshold.
Buyer Profile Capture
Every buyer in your CRM has their preferences captured: location, price range, bedrooms, property type, and must-haves.
Listing Data Ingestion
New listings from your MLS feed, manual entry, or your website property database are ingested automatically.
Match Score Calculation
A weighted scoring algorithm compares each listing against every active buyer profile and calculates a match percentage.
Instant Match Alert
When a match score exceeds your threshold (e.g., 75%), the buyer receives a personalized SMS with listing details and a direct booking link.
How every NexXaBase system gets built, deployed, and maintained.
Four consistent phases across every engagement — from first audit to live monitoring.
[01]
Audit
We review your current lead flow, CRM setup, and tools before touching anything. No assumptions, no shortcuts.
[02]
Design
We map the exact automation blueprint for your workflow and present it for your sign-off before a single line is built.
[03]
Deploy
We build, test, and go live. Average 5–7 days for Starter systems. Every flow is stress-tested before launch.
[04]
Monitor
Monthly retainer covers API health checks, prompt tuning, system updates, and a dedicated support channel.
Delivered systems include documentation, post-go-live support, and a monitoring handoff.
Buyer preference capture system
Listing ingestion + match engine
Configurable match threshold alerts
Personalized SMS with booking link
"We matched a buyer to a listing 4 hours after it went live and booked a showing the same day. The buyer had been in our database for 8 months. Without the system, we never would have caught it in time."
Marcus Webb
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