Know who will buy
before the market does.
RealtyIntent predicts buyer intent, time to purchase, transaction readiness, and the next action most likely to produce a closing.
Buyer
Olivia Bennett · Charlotte, NC
Intent
91
30–45d
Increasing
Actively touring
74%
Schedule offer strategy call · +17 pts
Event stream
- Saved 3 properties
- Completed preapproval
- Attended showing
- Narrowed target area
- Returned after 2-day inactivity
- Viewed property twice in 24h
Designed for national brokerage networks, independently operated offices, teams, agents, and enterprise real estate leadership.
The industry problem
Brokerages have more leads than intelligence.
National real estate organizations generate enormous volumes of inquiries, website activity, property views, open-house registrations, CRM contacts, financing milestones, and agent interactions. These signals remain fragmented across disconnected systems.
Fragmented buyer signals
Behavior, financing progress, property activity, communication, and transaction milestones live in separate systems.
Reactive lead management
Agents often respond after the buyer has already become active, selected another agent, or abandoned the process.
No closing-probability layer
Brokerages can track contacts and tasks, but they cannot consistently forecast purchase timing or intervention impact.
The platform
One intelligence layer across the buyer lifecycle.
Intent prediction
Purchase Intent Score with 30/60/90/180-day probabilities, engagement momentum, and prediction confidence.
Buyer readiness
Search criteria, financing preparation, funds, documents, contingencies, and household alignment.
Agent assignment
Match buyers to agents by market expertise, availability, specialization, and predicted conversion uplift.
Next best action
Rank actions by predicted impact on closing probability, ready for agent execution.
Transaction risk
Detect delayed milestones, financing warnings, and contingency issues before they become unrecoverable.
Network intelligence
Demand by market, active buyer movement, office conversion, and forecasted closings across the network.
How it works
From fragmented activity to an actionable closing strategy.
01
Connect
Approved buyer activity from brokerage systems.
02
Resolve
Persistent, permissioned buyer identity across sources.
03
Interpret
Events become buyer states, momentum, and predictions.
04
Recommend
Rank actions most likely to increase conversion.
05
Learn
Outcomes improve future predictions and local models.
Platform economics
More value from every buyer relationship.
Lead conversion
Prioritize the buyers most likely to transact.
Dormant pipeline recovery
Detect when old prospects return to active buying behavior.
Agent productivity
Reduce time spent on low-intent contacts.
Transaction retention
Identify closing risks before they become unrecoverable.
Built for national real estate leadership.
Explore an interactive investor demo with a simulated national brokerage — synthetic buyers, agents, offices, transactions, and predictive events.