Case Study11 min read

How a Canadian Real Estate Platform Rebuilt for Speed — 60% Faster, 25% More Leads

50,000+ listings, 8-second load times, invisible to Google. XCodeSol rebuilt with Next.js SSR — 51,000 indexed pages, 25% more agent leads.

A Canadian real estate platform was invisible to Google with only 1,200 indexed pages. XCodeSol rebuilt it with Next.js SSR and Algolia search — now 51,000+ indexed pages and 25% higher agent leads.

Key Metrics

Page Load Time
Before: 8.0sAfter: 1.6s
↓ 80%
Lighthouse Score
Before: 23After: 96
Google-Indexed Pages
Before: 1,200After: 51,000+
42×
Organic Traffic
Before: 28K/moAfter: 87K/mo
↑ 211%
Bounce Rate
Before: 68%After: 41%
↓ 40%
Lead Conversion Rate
Before: 1.2%After: 3.7%
↑ 208%
Agent Leads
Before: 840/moAfter: 1,050/mo
↑ 25%
Mobile Map Crashes
Before: 30%After: 0.2%
↓ 99%

Challenges

1,200 of 50,000 Pages Indexed — Google Could Not See the Site

A major Canadian real estate platform with 50,000+ active listings used client-side React rendering. Google indexed just 1,200 pages — 97.6% of listings invisible. Pages took 8 seconds to load. Mobile maps crashed 30% of sessions. 8-field lead form converted at just 1.2%. Impact: $180K/month estimated revenue leakage, 28K organic visits/month, agents threatening to leave for competitors.

Solutions

Next.js SSR: Every Page Indexable

We rebuilt the frontend on Next.js with server-side rendering. Every property page delivers fully rendered HTML. Incremental Static Regeneration revalidates pages every 60 seconds. JSON-LD structured data (RealEstateListing, Place, GeoCoordinates) on every page. Dynamic sitemaps auto-submit to Google daily. Result: 51,000+ indexed pages (42× more). Organic traffic surged 211% from 28K to 87K/month.

Algolia Instant Search + Optimized Lead Capture

Algolia search delivers results in <50ms vs 3–5 second page reloads. Faceted search with real-time result counts. Google Maps supercluster for 50K+ marker rendering. Lead form redesigned: 8 fields → 3 fields. Social proof badges and context-aware CTAs tripled conversion from 1.2% to 3.7%.

Process

Weeks 1–2

Performance & SEO Audit

Audited 50K listings. 1,200/50K indexed — 97.6% invisible. Lighthouse: 23. Map crashes: 30%. Lead form: 1.2%. $180K/mo revenue leakage.

Weeks 3–6

Next.js SSR Rebuild

Next.js App Router with SSR. ISR at 60s. All 50K+ pages server-rendered. JSON-LD structured data. Dynamic sitemaps deployed.

Weeks 7–8

Search & Maps

Algolia instant search: <50ms. Google Maps supercluster: 50K+ markers. Price heatmap, polygon draw, transit overlays.

Week 9

Lead Capture Optimization

8→3 field form. Social proof badges. Context-aware CTAs. Progressive profiling. Smart agent matching based on property type.

Week 10

Image Pipeline & Go-Live

Cloudinary dynamic transforms: 94% smaller. WebP/AVIF. Lazy loading with blur-up. SEO sitemaps. Full platform launch.

Results

Page load: 8s→1.6s (-80%). Lighthouse: 23→96 (4×). Google-indexed: 1,200→51,000+ (42×). Traffic: 28K→87K/month (+211%). Bounce: 68%→41%. Conversion: 1.2%→3.7% (+208%). Leads: 840→1,050/month (+25%). Mobile map crashes: 30%→0.2% (-99%).

XCodeSol rebuilt our listing engine from the ground up. Going from 1,200 to over 50,000 indexed pages transformed our business. Site speed improved by 60% and agent leads are up 25%. The SEO impact alone has been worth every penny.
CEO, National Real Estate Platform
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