
DianApps partnered with Housing.com to re-engineer and scale their real estate discovery platform across web and mobile. We leveraged a modern tech stack, React Native, Next.js, Node.js, Python (AI/ML), and AWS/GCP, to rebuild the platform with a mobile-first, modular architecture. Our work spanned AI-driven personalization, lead qualification, map-based discovery, broker dashboards, and performance optimization. This enabled Housing.com to significantly improve user engagement, lead quality, and conversion rates across their platform.

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Slow page loads causing high user drop-offs and fragmented UX across devices
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Poor intent filtering leading to low lead-to-site visit conversion rates
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No interactive or map-based property browsing experience
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No actionable analytics for brokers or developers to track listing performance
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Mobile-first modular architecture reduced page load speed by 50%
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Multi-step inquiry flow with intent scoring improved qualified leads by 35%
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Map-based discovery with filters and clustering made property search location-driven
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Revamped dashboard delivered real-time analytics and actionable insights
DianApps' collaboration with Housing.com transformed India's leading proptech platform into a faster, smarter, and more conversion-driven experience. By rebuilding the platform's foundation with a mobile-first architecture, AI-driven personalization, and an intelligent lead qualification system, we helped Housing.com significantly improve user engagement, listing quality, and broker efficiency. The platform now delivers a seamless property discovery journey, from search to site visit, while empowering developers and brokers with actionable insights. This has strengthened Housing.com's market leadership across Tier 1 and Tier 2 cities, driving meaningful growth in revenue, retention, and user satisfaction.
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