Performance Optimization
Speed That Converts
Every 100ms of additional load time reduces conversions by 1%. Slow websites lose customers, rankings, and revenue. We optimize websites, applications, databases, and APIs to deliver measurable speed improvements with before-and-after benchmarks for every engagement.
90+ LIGHTHOUSE SCORES - SUB-2.5s LCP - BEFORE/AFTER BENCHMARKS
Lighthouse • WebPageTest • k6 • Grafana • Chrome DevTools • Real User Monitoring
Why Speed Is a Business Metric
Performance is not just a technical concern. It directly impacts revenue, search rankings, and customer satisfaction. Google has used page experience as a ranking signal since 2021.
Get an Instant Speed Analysis
Run our free speed audit tool to see your current Core Web Vitals scores and get actionable recommendations.
Run Free Speed AuditGoogle's Page Experience Signals
Core Web Vitals are the three metrics Google uses to evaluate user experience. Passing all three is now required for optimal search rankings.
Largest Contentful Paint
Target: Under 2.5 seconds. LCP measures how long it takes for the largest visible content element to render. Common causes of poor LCP include unoptimized images, slow server response (TTFB), render-blocking CSS/JS, and client-side rendering without server-side hydration. We optimize LCP through image format conversion (WebP/AVIF), CDN deployment, critical CSS inlining, preloading key resources, and server-side rendering implementation.
Interaction to Next Paint
Target: Under 200 milliseconds. INP replaced FID in March 2024 and measures the overall responsiveness to user interactions throughout the page lifecycle, not just the first interaction. Poor INP is caused by long JavaScript tasks blocking the main thread, heavy event handlers, and excessive DOM size. We fix INP through code splitting, web worker offloading, debouncing event handlers, and optimizing third-party scripts.
Cumulative Layout Shift
Target: Under 0.1. CLS measures visual stability, penalizing pages where elements move around unexpectedly during loading. Causes include images without dimensions, dynamically injected content, web fonts causing FOIT/FOUT, and ads without reserved space. We fix CLS by setting explicit dimensions on media elements, using font-display strategies, reserving space for dynamic content, and implementing skeleton screens.
Optimization Services
Website Speed Optimization
Comprehensive frontend optimization: image format conversion (WebP, AVIF), lazy loading, critical CSS extraction, JavaScript bundle analysis with tree-shaking and code splitting, resource hints (preload, prefetch, preconnect), service worker caching, and CDN configuration. We target 90+ Lighthouse performance scores across desktop and mobile.
Database Query Optimization
Analyze slow queries, optimize indexes, restructure schema where needed, implement query caching (Redis, Memcached), and configure connection pooling. We have taken e-commerce product listing queries from 3,200ms to 45ms by adding proper composite indexes and eliminating N+1 query patterns. Support for PostgreSQL, MySQL, MongoDB, and DynamoDB.
Backend & API Latency Reduction
Profile API endpoints to identify bottlenecks: slow database queries, synchronous operations that should be async, missing caching layers, and inefficient serialization. We implement response caching, background job queues, connection pooling, and edge computing to reduce P99 API latency from seconds to milliseconds.
CDN & Edge Computing
Configure and optimize CDN deployments (Cloudflare, CloudFront, Fastly) with intelligent caching rules, edge functions for dynamic content at the edge, origin shield protection, and multi-region failover. For APAC-serving sites, we ensure edge presence in Singapore, Tokyo, Seoul, Hong Kong, and Sydney for sub-50ms TTFB.
Load Testing & Capacity Planning
Determine your breaking point before your customers do. We design realistic load tests using k6 and Artillery that simulate actual user behavior, ramp up to stress levels, and identify bottlenecks. You receive a capacity report showing exactly how many concurrent users your system supports and what needs to change to handle more.
Cloud Cost Optimization via Performance
Faster applications use fewer resources. By optimizing database queries, caching effectively, and right-sizing infrastructure, many clients reduce their cloud spend by 30-50% while simultaneously improving performance. Fewer CPU cycles per request means fewer servers needed, which means lower bills.
Before and After
E-Commerce: 8.2s to 1.2s Load Time
A Vietnamese e-commerce platform with 50K+ products was losing customers to slow page loads. Mobile load time averaged 8.2 seconds with a Lighthouse score of 23. After our optimization (image format conversion, lazy loading, database query tuning, Redis caching, CDN configuration, and code splitting), mobile load time dropped to 1.2 seconds with a Lighthouse score of 94. The result: a 34% increase in mobile conversion rate and a 28% reduction in bounce rate within the first month. Cloud hosting costs also dropped 41% due to more efficient resource utilization.
SaaS App: 2s to 200ms API Latency
A Singapore-based SaaS platform serving enterprise clients had API endpoints averaging 2,100ms response time. After profiling, we identified N+1 query patterns, missing database indexes, and no caching layer. With PostgreSQL query optimization, Redis caching, and connection pooling, average API response dropped to 187ms. Customer-reported "slow dashboard" complaints dropped to zero.
Media Site: Core Web Vitals Pass
A Korean media site with 2M monthly visitors was failing all three Core Web Vitals. LCP was 6.8s, CLS was 0.42, and INP was 890ms. After optimization (server-side rendering, font-display swap, image dimension attributes, JS code splitting, and third-party script management), all three metrics passed Google's thresholds. Organic search traffic increased 22% over the following quarter.
Our Optimization Process
Audit & Baseline
Comprehensive performance audit capturing Lighthouse scores, Core Web Vitals, server response times, database query analysis, and bundle sizes. This becomes your baseline.
Prioritize
Rank all optimization opportunities by impact (expected speed gain) vs. effort (engineering time). Quick wins first, architectural changes later.
Implement
Execute optimizations in sprints. Each change is benchmarked individually so you see the impact of every optimization we make.
Verify & Monitor
Before/after comparisons for every metric. Set up ongoing monitoring (RUM + synthetic) to ensure gains persist and catch any regressions.
Performance Optimization Questions
What are Core Web Vitals and why do they matter for SEO?
+Core Web Vitals are Google's metrics for user experience: LCP (loading, target under 2.5s), INP (responsiveness, target under 200ms), and CLS (visual stability, target under 0.1). Since June 2021, they are a direct Google ranking factor. Pages passing all three receive a ranking boost. For e-commerce, every 100ms of additional load time reduces conversions by approximately 1% (Deloitte).
How much does speed affect conversion rates?
+Significantly. A 0.1-second improvement in mobile load time increases conversions by 8.4% for retail (Deloitte). As load time goes from 1s to 3s, bounce rate increases 32%. From 1s to 5s, it increases 90% (Google). For a $10M/year site, a 1-second improvement could mean $700K-1M in additional annual revenue.
What tools do you use?
+Google Lighthouse and PageSpeed Insights for Core Web Vitals, WebPageTest for waterfall analysis, Chrome DevTools for runtime profiling, k6 and Artillery for load testing, Grafana/Prometheus for monitoring, webpack-bundle-analyzer for JS analysis, and Datadog or New Relic for APM. We combine synthetic testing with Real User Monitoring (RUM) for real-world validation.
How long does optimization take?
+Quick wins (images, caching, CDN) deliver 30-50% improvement in 1-2 weeks. Mid-level work (code splitting, query tuning, SSR) takes 3-6 weeks. Deep architecture changes take 8-16 weeks. We start with a 1-week audit that ranks all opportunities by impact and effort, so you see exactly what to expect.
Can you optimize without redesigning our site?
+Yes. Most gains come from backend work: database tuning, caching, image optimization, JS bundle analysis, server configuration, and infrastructure scaling. We typically achieve 60-80% of possible gains without any visual changes. A redesign is only recommended when the fundamental architecture is the bottleneck, which is the minority of cases.
Every Second Your Site Is Slow, You Are Losing Revenue
53% of mobile users abandon sites that take longer than 3 seconds to load. If your site is slow, you are not just losing patience, you are losing customers, search rankings, and revenue. Start with our free speed audit and see exactly where the bottlenecks are, with a clear plan to fix them.