Turning Virtual Views into Physical Visits
Virtual tours have become a standard in real estate, but agents often lack visibility into how users interact with them. We developed a Virtual Property Tour Analytics engine that tracks every click, pan, and zoom within a 3D environment. By generating heatmaps of user activity, we help agents understand which features (e.g., the kitchen island, the view) are driving interest, allowing them to tailor their sales pitch effectively.
The Challenge
The Solution
Key Features
3D Heatmaps
Visual overlays showing exactly where users looked and clicked.
- Room-level intensity
- Feature hotspots
- Navigation paths
Engagement Metrics
Deep dive into session duration and interaction quality.
- Average dwell time
- Return visits
- Share tracking
Lead Qualification
Identify high-intent buyers based on their tour behavior.
- Interest scoring
- Automated tagging
- CRM sync
Technology Stack
Project Timeline & Results
SDK Integration
Successfully captured raw interaction events from 3D viewer.
Researched the Matterport SDK capabilities. Wrote custom JavaScript hooks to listen for camera movement, node navigation, and tag clicks. Piped data to a serverless AWS Lambda collector.
Visualization Engine
Generated accurate heatmaps overlaid on floor plans.
Processed raw coordinate data to calculate density. Used Three.js to render semi-transparent heatmaps that align with the 3D model geometry. Optimized rendering for web performance.
Dashboard & CRM
Launched agent dashboard with Salesforce integration.
Built the frontend interface for agents to view reports. Implemented the 'Interest Score' logic. Set up webhooks to push qualified leads directly into the brokerage's CRM.
Related Services
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