When our client's e-commerce site was struggling with slow load times and high bounce rates, we took a systematic approach to performance optimization. Here's what we did and the results we achieved.
Audit First – We ran Lighthouse, WebPageTest, and real-user monitoring to identify bottlenecks. The largest issues were unoptimized images, render-blocking JavaScript, and third-party scripts.
Image Optimization – We migrated to WebP and AVIF formats, implemented responsive images with proper srcset, and used lazy loading for below-the-fold content. We also added blur placeholders for a better perceived performance.
JavaScript Optimization – We code-split routes and heavy components, removed unused dependencies, and deferred non-critical scripts. Tree-shaking and minification reduced our main bundle by 40%.
Caching Strategy – We implemented static asset caching with long cache headers, and used service workers for offline support. API responses were cached where appropriate.
Server-Side Rendering – We moved critical content to SSR so users see content faster. We also used streaming and progressive hydration for interactive parts.
Third-Party Scripts – We audited and optimized third-party scripts (analytics, chat widgets, ads). Some were loaded asynchronously or deferred until user interaction.
The result: our Largest Contentful Paint (LCP) dropped from 4.2s to 2.1s, and our Time to Interactive (TTI) improved by 55%. Bounce rate decreased by 22% and conversion rate increased by 18%. Performance is an ongoing journey—we continue to monitor and iterate.