E-commerce Performance Optimization
Optimized a Next.js e-commerce platform achieving sub-2s LCP and 40% conversion rate improvement through React Server Components and strategic code splitting.
Key Outcomes
Reduced from 4.2s to 1.8s through RSC migration and code splitting
Below 50ms SLO target, improved from 120ms baseline
Attributed to faster page loads and improved user experience
Performance category, up from 72 baseline
Led performance optimization initiative for a high-traffic e-commerce platform built with Next.js 15 and React 19. Migrated critical rendering paths to React Server Components, implemented strategic code splitting with dynamic imports, and optimized image delivery with AVIF/WebP formats. Added skeleton loading states to reserve layout space and prevent CLS. Implemented RUM monitoring with 30-day retention to track Core Web Vitals (LCP, INP, CLS) and conversion funnel metrics. Results: LCP reduced from 4.2s to 1.8s (57% improvement), INP p95 dropped to 45ms, conversion rate increased 40%.
Technical Details
Optimization Strategy
Conducted comprehensive performance audit identifying three critical bottlenecks: (1) Client-side rendering of product listings causing high JavaScript execution time, (2) Unoptimized images adding 2.1s to LCP, (3) Large bundle size (850KB) due to unnecessary dependencies. Mitigation: Migrated to React Server Components for static content, implemented next/image with AVIF/WebP, removed unused dependencies and added code splitting with dynamic imports.
RUM Monitoring
Implemented Real User Monitoring (RUM) with 30-day retention tracking Core Web Vitals (LCP, INP, CLS) and business metrics (cart abandonment rate, checkout completion time). Used 10% sampling rate to minimize performance impact while maintaining statistical significance. Integrated with existing analytics pipeline for conversion funnel analysis. Privacy Mode A compliant: aggregated metrics only, no PII collection, DNT header respect.