Fordel StudiosAI-Enhanced Property Discovery Platform
This case study describes a real engagement. Client identity, proprietary details, and specific metrics are anonymized or approximated under NDA.
What needed
solving
High bounce rate on property listings combined with a 60% no-show rate for in-person visits. The platform had strong organic traffic but thin conversion: buyers had no way to evaluate properties in depth before committing to a visit, and agents were following up cold with no context about buyer intent.
The primary engineering constraint was mobile performance. The platform's user base skews heavily toward mid-range Android devices (3GB RAM), and full-quality cubemap WebGL rendering caused frame drops and thermal throttling on these devices. Solving this without degrading the desktop experience required adaptive quality selection at load time based on device capability detection. The lead qualification flow presented a UX challenge: capturing meaningful intent signals without interrupting the tour experience required several rounds of iteration to get the friction-to-signal ratio right. At 5,000+ active listings, content generation had to be fully automated — any per-listing manual step would have made the system operationally unviable at scale.
How we
built it
- 01
Analysed the buyer session data to understand where in the listing page journey users abandoned — the problem was not the first impression but the inability to evaluate a property in enough depth to justify a visit commitment.
- 02
Built a property exploration layer with room-by-room navigation, automated descriptive content for each space, and highlight detection that surfaced property-specific selling points rather than generic descriptions.
- 03
Integrated a lead qualification flow into the virtual tour that captured buyer preferences, budget confirmation, and visit intent — giving agents context before the first contact rather than starting cold.
- 04
Optimised the virtual tour delivery for mobile performance specifically, since the majority of the platform's traffic was mobile and 3D rendering on lower-end devices required careful asset streaming and progressive loading.
This engagement addressed the gap between listing interest and qualified agent engagement by building a property exploration experience that captures intent signals throughout the viewing session. The system was built in three layers: an asset processing pipeline that converts raw 360-degree imagery into optimized tour assets with AI-generated room classifications and feature tags, a Three.js viewer with adaptive performance for mid-range mobile devices, and a progressive lead qualification flow embedded in the tour experience. The system was designed to process the platform's existing 5,000+ listings without per-property manual work — all content generation is automated from the asset ingestion pipeline.
What we
delivered
Virtual tour system with smart property highlighting, automated room-by-room descriptions, and integrated lead qualification that captures buyer preference signals throughout the tour and delivers a contextualized handoff to agents.
Measurable
outcomes
- Average time on page for tour-enabled listings increased 2.1x. Bounce rate on those listings fell by 34%. The proportion of submitted leads classified by agents as qualified on first contact increased from 31% to 43%, reflecting the value of the pre-call context packet. Agents consistently reported arriving at calls with specific questions already answered rather than needing a full discovery conversation.
- In-person visit dynamics shifted. Scheduled visit volume dropped, but no-show rate fell from 60% to 28%, resulting in a net increase in productive visits per agent per week. Buyers who completed a virtual tour arrived with formed intent rather than general curiosity, making in-person visits shorter and more decision-focused.
- The asset ingestion pipeline processes new listings automatically at submission, meaning the content generation overhead scales at zero marginal cost. The Three.js viewer has been extended to handle video walkthroughs (submitted alongside 360-degree assets for newer listings) using the same adaptive delivery infrastructure built for the cubemap renderer.
“The no-show reduction was the metric our agents cared about most. The buyers who book visits after exploring the virtual tour have already self-selected — they know the property and they are serious.”
— Head of Digital, Real Estate PlatformReady to build
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