Why Your Website Is Slow (And How to Fix It in 30 Minutes)

By Sarah Chen Jul 11, 2026 8 min read How-To Guides

A one-second delay in page load time can reduce conversions by 7%. Here are the most common causes of slow websites and how to fix them quickly.

1. Unoptimized Images

Large images are the #1 cause of slow websites. Fix: compress images with TinyPNG or Squoosh. Use WebP format with a JPEG fallback. Set explicit width and height to prevent layout shifts. Lazy load images below the fold. Limit image dimensions to the maximum display size. This single fix often cuts page weight by 50%.

2. Too Many HTTP Requests

Each CSS file, JavaScript file, font, and image requires an HTTP request. Fix: combine CSS and JS files. Use CSS sprites for icons. Remove unused plugins and scripts. Use inline SVGs for simple icons. Limit custom fonts to one or two families. Reduce the number of external scripts (analytics, ads, widgets).

3. No Browser Caching

Without caching, returning visitors download everything again. Fix: set Cache-Control headers for static assets. Use a service worker for offline caching. Configure ETags for validation. Set appropriate Expires headers (one year for versioned assets). Use localStorage for API responses.

4. Render-Blocking Resources

CSS and JavaScript in the head block page rendering. Fix: inline critical CSS in the head. Load CSS asynchronously with media="print" onload="this.media='all'". Defer JavaScript with the defer attribute. Load non-critical scripts asynchronously. Move scripts to the bottom of the body.

5. Slow Web Hosting

Cheap shared hosting cannot handle traffic spikes. Fix: upgrade to a VPS or dedicated server. Use a CDN (Cloudflare, Fastly) to serve static assets from edge locations. Enable HTTP/2 or HTTP/3 for multiplexed requests. Consider serverless hosting for automatic scaling.

6. Slow Database Queries

Unoptimized database queries slow down dynamic sites. Fix: add indexes to frequently queried columns. Use query caching (Redis or Memcached). Optimize N+1 query problems. Limit the number of queries per page. Use database connection pooling.