performance-optimization

To achieve a Lighthouse performance score above 90 on a Next.js site, you need to optimize images, apply font loading strategies, implement code splitting, set cache headers, and analyze your bundle. These optimizations reduce payload and improve Largest Contentful Paint.

Image optimization for Lighthouse involves converting images to WebP or AVIF formats, applying proper dimensions, and leveraging lazy loading. This reduces file size and improves LCP, directly boosting your Next.js site's performance score.

Reducing JavaScript payload in Next.js requires using dynamic imports for code splitting. Combined with bundle analysis, this enables performance monitoring and ensures only necessary code loads on each route.

Self-hosting fonts with font-display: swap improves web vitals by preventing layout shifts and reducing font loading delays. Applying Next.js font optimizations ensures text renders quickly without blocking visual stability.

These performance optimization patterns apply directly to e-commerce dashboards, marketing sites, and content-heavy applications. They ensure fast rendering by optimizing images, fonts, JavaScript, CSS, rendering strategy, and caching across routes.

A low Lighthouse score despite dynamic imports may indicate unoptimized images, render-blocking fonts, or missing cache headers. Achieving a score above 90 requires applying comprehensive optimization across images, fonts, CSS, and caching.