Speed analysis: Core Web Vitals, performance metrics, recommendations
Page load speed directly impacts conversion, SEO rankings, and user satisfaction. Google uses Core Web Vitals as a ranking factor. Every extra second of load time can cost up to 7% in conversions.
Google Lighthouse-based analysis: Performance, Accessibility, Best Practices, SEO.
LCP (rendering), FID (interactivity), CLS (visual stability) — key Google metrics.
Breakdown by type: HTML, CSS, JavaScript, images, fonts. Size, request count, blocking resources.
Specific recommendations with savings estimates: image compression, caching, minification, etc.
async/defer block rendering. Move to end or add attribute.Cache-Control, the browser reloads CSS/JS on every visit.loading="lazy" for images below the fold.brotli on;Cache-Control: max-age=31536000, immutable. HTML: max-age=0, s-maxage=60.<link rel="preload"> for fonts and CSS. Reduces LCP by 200-500ms.Analyze website performance using Google PageSpeed Insights API. Get Core Web Vitals metrics (LCP, FID, CLS, INP), performance score, accessibility audit, and actionable optimization recommendations. Test both mobile and desktop versions. Essential for SEO, user experience optimization, and meeting Google ranking requirements.
The speed test analyzes Core Web Vitals (LCP, FID, CLS), total page weight, number of requests, and server response time. Results include actionable recommendations for improving load time, such as image optimization, script deferral, and cache configuration.
Run speed tests from Russia to check performance for CIS audiences. Compare results before and after optimization to measure improvement. For server-side issues, check security headers and DNS configuration. Set up monitoring to track performance over time.
PageSpeed is a metric for web page loading performance. It includes Time to First Byte (TTFB), First Contentful Paint (FCP), Largest Contentful Paint (LCP), and other metrics. Fast sites get advantages in SEO and conversion.
Core Web Vitals are three key Google metrics: LCP (speed of main content loading, target < 2.5s), INP (responsiveness to interaction, target < 200ms), CLS (visual stability, target < 0.1). They affect search ranking.
Key methods: image optimization (WebP, compression), CSS/JS minification, enabling Gzip/Brotli, using a CDN, caching (Cache-Control), lazy loading images, preloading critical resources (preload).
LCP (Largest Contentful Paint) is the time to load the largest element. FID (First Input Delay) is the delay of first interaction (replaced by INP). CLS (Cumulative Layout Shift) is the total layout shift during loading.
Google uses Core Web Vitals as a ranking factor. Slow sites lose positions, increase bounce rate, and reduce conversion. According to Google, a 1-second loading delay reduces conversion by 7%.
TTFB (Time to First Byte) is the time from sending a request to receiving the first byte of the response. Target: under 800ms. Improve with: fast hosting, server-side caching, CDN, optimizing DB queries, Redis/Memcached.
Gzip and Brotli are compression algorithms that reduce transferred data size by 60-90%. Brotli is 15-25% more efficient than Gzip for text content. Both are supported by all modern browsers and servers.