How to Reduce Your Web App Loading Time by 70%
Practical performance optimisation techniques — from code splitting and image optimisation to caching and CDN strategies — that make a real difference.
DavinLabs Team
Frontend Engineering · February 20, 2025
Why Performance Matters
A 1-second delay in page load time results in a 7% reduction in conversions. Google uses Core Web Vitals as a ranking signal. Slow apps frustrate users and hurt revenue — performance is a business problem, not just a technical one.
1. Measure First
Before optimising anything, measure. Use Lighthouse (built into Chrome DevTools), WebPageTest, or Vercel Analytics to get baseline numbers. Focus on Largest Contentful Paint (LCP), Total Blocking Time (TBT), and Cumulative Layout Shift (CLS).
2. Code Splitting
Do not ship your entire JavaScript bundle on the first page load. With Next.js, dynamic imports are automatic per page. For large client-side libraries, use next/dynamic with ssr: false to defer them until needed.
3. Optimise Images
Images are typically 60–80% of a page's total bytes. Use Next.js's <Image> component which automatically serves WebP, resizes for the viewport, and lazy-loads below-the-fold images. Compress originals with Squoosh or ImageOptim before uploading.
4. Serve from a CDN
Put your static assets and cached HTML behind a CDN like Cloudflare or AWS CloudFront. Users download from the nearest edge node, cutting latency from hundreds of milliseconds to tens. Vercel and Netlify do this automatically.
5. Defer Non-Critical Resources
Add defer or async to third-party scripts. Load analytics, chat widgets, and A/B testing scripts after the main content is interactive. Every third-party script you load is a potential single point of failure and a hit to your TBT score.
6. Cache Aggressively
Set long Cache-Control headers for hashed static assets (max-age=31536000, immutable). Use stale-while-revalidate for API responses that change infrequently. Reduce your server's work on every request.
Real Results
Applying these techniques on a recent client project reduced LCP from 4.8s to 1.4s and cut JavaScript bundle size by 65%. The changes took two sprints to implement and immediately improved their Google search ranking.
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