Let’s be honest: most developers run Lighthouse, see a bunch of green circles, and call it a day. Mission accomplished, right?
Not quite.
Those metrics are useful, but they’re just the beginning of the performance story.
Real-world performance is what your users actually experience – that magical combination of perceived speed, stability under pressure, and consistent behavior across devices.
Think about it: Have you ever visited a website that technically loads fast but feels sluggish when you interact with it? Or one that works perfectly during testing but crumbles during a traffic spike?
That’s the gap between performance metrics and performance reality.
This is where performance audits come in – comprehensive, multi-layered evaluations that examine how your tech stack behaves across the entire request-response lifecycle. Unlike a simple benchmark test, a thorough audit reveals the hidden bottlenecks lurking in your code, server configuration, and asset delivery.
Today, we’re diving into three performance villains that audits consistently unmask: render-blocking resources, unused code, and resource hogs. These silent killers might not show up in your basic metrics, but they’re probably slowing down your site right now.
Imagine you’re hosting a dinner party. Would you make your guests wait at the door until every single dish is perfectly plated before letting anyone in? That’s essentially what render-blocking resources do to your website visitors.
Render-blocking resources are files that prevent your webpage from displaying content to visitors until they’re fully downloaded, parsed, and executed by the browser. Let me break this down in a way that’s easy to understand:
The Browser’s Loading Process
When someone visits your website, their browser follows these basic steps:
The crucial point is that certain resources will pause this entire process until they’re fully handled – these are your render-blocking resources.
Why This Matters?
Let’s use a real-world analogy: Imagine you’re building a house. The foundation must be complete before you can build walls, and walls must be up before you install windows.
In webpage terms:
When a resource blocks rendering, it’s like telling all construction workers to stop and wait until a specific material arrives, even if they could be working on other parts of the house.
During our audits, we typically find these common culprits:
CSS is render-blocking by default because browsers won’t display content until they know how to style it. Without CSS, users might see a “flash of unstyled content” (FOUC).
Example: <link rel=”stylesheet” href=”styles.css”>
JavaScript can modify both content and appearance. When the browser encounters a script tag, it typically pauses HTML parsing until the script is downloaded and executed.
Example: <script src=”app.js”></script> (without async or defer)
Font files that don’t use proper loading strategies can delay text display.
Example: Using Google Fonts without display swap or preloading.
Social media widgets, chat tools, or analytics scripts that load before your main content
The Impact on User Experience
When render-blocking resources delay your page:
Technical Example
Let’s look at a simplified timeline of what happens with render-blocking resources:
With render-blocking CSS (typical scenario):
0.0s: HTML download starts
0.2s: HTML download completes
0.2s: Browser finds CSS file and starts download
0.7s: CSS download completes
0.8s: CSS parsing completes
0.8s: First content appears on screen
With optimized CSS loading:
0.0s: HTML download starts
0.2s: HTML download completes
0.2s: Critical CSS is already inline, browser renders first content
0.2s: Non-critical CSS starts downloading in the background
0.7s: Complete styling appears, but the user has been seeing content since 0.2s
That half-second difference might seem small, but studies show that even 100ms delays can affect conversion rates, especially on mobile devices with slower connections. One recent client had 14 separate CSS files loading before any content appeared – each one adding precious milliseconds to their loading time.
When hunting for render-blocking resources, experienced performance auditors don’t rely on guesswork or general best practices alone. They use specific tools and techniques to identify exactly what’s blocking your page rendering. Here’s a detailed look at these approaches:
The Network panel in Chrome DevTools provides a visual waterfall chart showing the exact sequence and timing of resource loading:
How it works:
What to look for:
Practical example: If you see several CSS files loading sequentially before the first content appears, that’s a clear sign of render-blocking resources. An auditor might notice that a 450KB theme CSS file is loading before any content renders, even though only 20% of that CSS is needed for above-the-fold content.
The Coverage panel is a powerful but often overlooked tool that shows exactly which parts of your CSS and JavaScript are actually being used:
How it works:
What to look for:
Practical example: During an audit, you might discover that your main CSS file is 85% unused on initial load because it contains styles for components that appear only after user interaction or scrolling. This indicates an opportunity to split your CSS into critical (needed immediately) and non-critical portions.
This technique involves mapping out the dependencies and processing sequence that must complete before content appears:
How it works:
What to look for:
Practical example: A WebPageTest filmstrip might show that your page remains blank for 2.3 seconds, then suddenly displays content. Looking at the associated waterfall, you might find that a third-party analytics script was blocking rendering because it was placed before your content and loaded synchronously.
More sophisticated performance audits will also employ:
Lighthouse Performance Timing Metrics:
Example insight: Lighthouse might report “Eliminate render-blocking resources” and list specific files adding 820ms to your load time.
Performance Timeline API Analysis:
Example insight: This might reveal that an A/B testing script is taking 300ms to download and another 150ms to execute before any content can be shown.
Throttled Network Testing:
Example insight: Under 3G simulation, you might discover that your custom font files become major bottlenecks, adding 1.5 seconds to render time.
Cross-Browser Comparison:
Example insight: Your JavaScript polyfills might be render-blocking in Safari but not in Chrome.
Real-World Application: During an actual performance audit, these techniques are used together to build a complete picture. For example:
Together, these findings provide irrefutable evidence of which specific resources are blocking rendering and by how much, allowing for targeted optimizations rather than general best practices that might not address your specific bottlenecks.
This systematic approach to identifying render-blocking resources is what separates a professional performance audit from basic optimization attempts—it reveals the truth about what’s actually happening during page load, not just what might be happening based on general principles.
Once you’ve identified render-blocking resources through your audit, it’s time to implement solutions. Let’s dive deeper into each fix and explore how they work, with concrete examples and implementation details:
Critical CSS inlining involves extracting the essential styles needed for above-the-fold content (what users see first without scrolling) and placing them directly in the HTML document rather than in an external file.
How it works in detail:
Tools that help:
What it is: This involves using the correct attributes and placement for your JavaScript files to prevent them from blocking page rendering.
How it works in detail:
Prioritizing how and when resources load to ensure the most critical ones are processed first.
How it works in detail:
1. Prioritize visible content resources:
2. Implement proper HTML structure:
Browser directives that help prioritize and prepare connections before they’re actually needed.
How they work in detail:
1. Preconnect:
2. Dns-prefetch:
3. Preload:
4. Prefetch:
Implementation Strategy
When implementing these fixes, follow this approach for best results:
This methodical approach ensures you’re making measurable progress and can quantify the impact of each optimization.
Unused code is exactly what it sounds like – JavaScript, CSS, and other resources that your website loads but never actually uses during a user’s session. Think of it as paying to ship empty boxes alongside your actual products.
Imagine you’re packing for a weekend trip, but instead of bringing just what you need, you pack your entire wardrobe “just in case.” Your suitcase is now heavy, difficult to carry, and most of those clothes will never be worn. This is exactly what happens with unused code on websites.
Unused code is all the extra programming that your website forces visitors to download, even though they’ll never actually use it during their visit. It’s like sending customers a 500-page manual when they only need to read 5 pages.
When a browser downloads unused code, it creates several cascading problems:
Where does all this digital clutter come from? There are several typical sources:
One-Size-Fits-All Approaches: Many websites use pre-packaged solutions that include features for every possible situation, rather than just what that particular site needs.
Digital Hoarding: As websites evolve, old features often remain in the code even after they’re no longer visible or used – just like keeping clothes that no longer fit “just in case.”
Convenience Over Efficiency: It’s often easier for developers to include entire libraries of pre-written code rather than selecting only the specific parts they need.
“Set It and Forget It” Mentality: Once a website is working, there’s often little incentive to go back and clean up the excess code.
During our audits, we frequently find surprising examples of unused code:
Tools like webpack-bundle-analyzer create visual maps showing exactly what’s in your JavaScript bundles. This visualization often reveals surprising inclusions:
# Installing webpack-bundle-analyzer npm install --save-dev webpack-bundle-analyzer # Adding to webpack config const BundleAnalyzerPlugin = require('webpack-bundle-analyzer').BundleAnalyzerPlugin; module.exports = { plugins: [ new BundleAnalyzerPlugin() ]}
The output typically shows a treemap visualization where larger blocks represent larger portions of your bundle. This makes it easy to spot oversized dependencies.
This built-in DevTools feature shows exactly which lines of CSS and JavaScript were actually executed during a page visit:
The results show red (unused) and green (used) portions of each file, with exact byte counts and percentages.
Modern build tools can analyze your imports and exports to identify unused code:
# Using webpack’s production mode with tree shaking webpack –mode=production –optimize-minimize
Tree-shaking works by:
Once you’ve identified unused code, here are detailed strategies to eliminate it:
Break monolithic bundles into smaller, page-specific chunks:
// Instead of importing everything at once import { feature1, feature2, feature3, feature4 } from './features'; // Use dynamic imports for features as needed const HomePage = () => { // Only load feature1 and feature2 on the homepage import('./features/feature1').then(module => module.initialize()); import('./features/feature2').then(module => module.initialize()); return <div>Home Page Content</div>; }; const ProfilePage = () => { // Only load feature3 on the profile page import('./features/feature3').then(module => module.initialize()); return <div>Profile Page Content</div>; };
Load features only when they’re needed:
// Instead of: import Modal from './components/Modal'; // Use: const showModal = () => { import('./components/Modal').then(module => { const Modal = module.default; const modal = new Modal(); modal.show(); }); }; document.querySelector('#show-modal-button').addEventListener('click', showModal);
This approach loads the modal code only when a user clicks the button, not on initial page load.
Replace heavy libraries with built-in browser features:
// Instead of importing moment.js (300KB+) import moment from 'moment'; const formattedDate = moment(date).format('YYYY-MM-DD'); // Use native date formatting const formattedDate = new Date(date).toLocaleDateString('en-US', { year: 'numeric', month: '2-digit', day: '2-digit' });
Start with core functionality and add enhancements for capable browsers:
// Core functionality that works everywhere const button = document.querySelector('.action-button'); button.addEventListener('click', basicAction); // Enhanced functionality loaded conditionally if ('IntersectionObserver' in window) { import('./enhanced-features.js').then(module => { module.initializeEnhancements(); }); }
Once identified, there are several approaches to solving the unused code problem:
Resource hogs are elements on your website that consume a disproportionate amount of bandwidth, processing power, or memory compared to their actual value to the user. These digital gluttons silently degrade performance while often going unnoticed during development. Let us break this down in a non-technical way:
Think of your website like a stage performance. Your content is the star of the show, but resource hogs are like stagehands who accidentally step into the spotlight, wearing flashy costumes that distract from the main performance, and moving too slowly between scene changes.
Resource hogs typically fall into three categories:
Images are often the biggest culprits in performance issues. Here’s what makes them resource hogs:
Custom fonts add personality to your brand, but they can become resource hogs when:
Modern websites often have multiple tracking tools that become resource hogs:
Video content can be engaging, but often becomes a major resource hog:
The impact of resource hogs goes beyond mere seconds of loading time:
Finding resource hogs requires a systematic investigation:
Google’s Lighthouse tool provides valuable insights into resource hogs:
Beyond just running Lighthouse, professionals dig deeper into the detailed report, identifying exactly which resources are causing problems and by how much.
WebPageTest creates a visual “waterfall” showing precisely when each resource loads:
Professional auditors don’t just look at total times but analyze the relationships between resources to find bottlenecks.
By simulating slower connections (like 3G mobile), resource hogs become much more apparent:
This technique is especially valuable because it reveals how your international audience or users in areas with poorer connectivity might experience your site.
Sometimes the issue isn’t one massive resource but death by a thousand cuts:
Once resource hogs are identified, these practical solutions can dramatically improve performance:
A comprehensive approach includes:
Smart font handling includes:
A systematic approach to external services:
Applying lazy loading concepts to other resources:
The most successful resource optimization strategies combine multiple approaches:
When these strategies work together, the results can be transformative. Sites that once took 6-8 seconds to become usable can deliver meaningful content in under 2 seconds, dramatically improving user experience, conversion rates, and search rankings.
Resource hogs may be hidden killers, but once identified, they can be tamed to create fast, efficient websites that respect your users’ time and resources.
Let’s be honest about automated performance tools like Lighthouse, WebPageTest, and PageSpeed Insights. They’re incredibly useful starting points! Our experts use them daily, but relying solely on them is like trying to diagnose a chronic health condition with just a thermometer.
Lighthouse is fantastic for capturing a performance snapshot, but that’s exactly what it is—a single moment in time under controlled conditions. Real users don’t experience your site in the controlled environment of a performance test. They visit on unpredictable networks, with varying device capabilities, while multiple apps compete for resources in the background.
We recently audited a site that scored 89 on Lighthouse but still had customers complaining about sluggishness. Why? Because Lighthouse was testing the homepage on a simulated fast connection, while actual users were struggling with category pages containing 200+ products on 3G networks.
Here’s where automated tools consistently fall short:
Cumulative JavaScript bloat across pages often goes undetected. Your tool might flag that your product page loads 2MB of JavaScript, but it won’t identify that 1.4MB of that same JavaScript loads on every single page, creating a site-wide performance tax. It won’t notice when your marketing team’s analytics script, your developer’s debugging tools, and your third-party reviews widget are all loading the same jQuery version separately.
Interaction delays after initial load frequently slip through the cracks. Your product filtering might look great on load (passing all Core Web Vitals), but then take 3 seconds to respond when a customer actually tries to use it. Tools measure page load performance, not interaction performance, yet the latter often matters more for conversions.
Inconsistent server responses aren’t captured in one-off tests. We’ve seen digital commerce sites that perform beautifully at 9 AM but crumble during peak hours when inventory systems become overloaded. Standard tools don’t catch these temporal variations unless you’re deliberately testing at different times.
Context and business requirements are completely absent from automated results. A hero video might tank your performance score but drive 40% higher engagement. Tools can’t make these judgment calls – only humans with business context can.
A comprehensive performance audit isn’t just running a single tool—it’s a combination of diverse approaches that together create a complete picture:
We conduct controlled environment testing using various tools and configurations. This goes beyond basic Lighthouse runs to include throttled CPU testing, memory profiling, and systematic comparison across browsers. In the lab, we can isolate variables and repeatedly test scenarios to pinpoint exact causes of performance issues that automated tools might flag but can’t diagnose.
Real User Monitoring (RUM) shows how actual visitors experience your site in the wild. Some pages may perform beautifully in lab tests but struggle under real-world conditions. We’ve seen sites where certain user segments (typically on older Android devices in specific regions) experienced drastically worse performance than what any lab test revealed. RUM data helps identify these blind spots and prioritize fixes based on actual user impact rather than theoretical improvements.
Looking beyond raw numbers to perceived performance and usability is crucial. Sometimes, a technically “slower” solution actually feels faster to users because of thoughtful loading sequences and visual feedback. We analyze user perception through session recordings, heatmaps, and direct feedback to understand where technical metrics and user experience diverge.
Code review, server configuration analysis, and infrastructure assessment often reveal the root causes that automated tools miss entirely. We’ve found performance bottlenecks in database query patterns, CDN configuration settings, and build processes that no front-end performance tool could possibly detect. These deep dives connect surface symptoms to underlying causes.
Perhaps the biggest limitation of automated tools is that they can identify symptoms but rarely diagnose root causes. When Lighthouse flags “eliminate render-blocking resources,” it can’t tell you which of those resources are actually critical for your above-the-fold content and which could be safely deferred.
Similarly, when it suggests “reduce JavaScript execution time,” it doesn’t distinguish between essential business logic and abandoned features that could be removed entirely. This analysis—connecting technical findings to business impact and prioritizing solutions—requires human expertise and judgment.
The most valuable part of a true performance audit isn’t just a list of what’s slow; it’s understanding why those slowdowns exist, which ones actually impact users, and what specific changes will deliver the best ROI on your optimization efforts.
We worked with a digital commerce site last year that had terrible Lighthouse scores because of a seemingly bloated JavaScript bundle. Automated recommendations suggested aggressive code splitting and lazy loading. But our technical deep dive revealed the real issue—their product filtering logic was running synchronously during page load instead of being triggered on demand. A simple refactoring of existing code improved performance more than any amount of bundle optimization could have.
Automated tools are where performance optimization begins, not where it ends. They’re the starting point of a deeper investigation that requires experience, context, and technical insight to transform raw metrics into actionable improvements that balance technical perfection with business realities.
It’s tempting to jump straight to optimizations when you know your site is slow. Compress those images! Minify that JavaScript! Enable caching! While these are all valuable tactics, they often address symptoms rather than root causes.
Many performance issues stem from architectural decisions, development practices, or business requirements that aren’t immediately obvious. Without a comprehensive audit, you might spend weeks optimizing the wrong things.
We’ve seen this cycle play out countless times:
Why? Because one-time optimizations don’t change the underlying patterns that caused the slowdown in the first place.
Maybe your development workflow lacks performance testing gates. Perhaps your CMS makes it too easy to upload unoptimized images. Or your third-party script adoption lacks proper governance. Whatever the case, without identifying and addressing these systemic issues, you’re just resetting the clock on an inevitable decline.
A comprehensive audit doesn’t just fix current problems—it establishes the processes, standards, and awareness needed to maintain performance over time. It’s the difference between cleaning your kitchen and learning not to make a mess in the first place.
A thorough performance audit doesn’t just identify current bottlenecks—it helps you understand:
Performance isn’t just a technical concern—it’s a business fundamental. Sites that prioritize speed see higher conversion rates, lower bounce rates, better SEO rankings, and ultimately, stronger bottom lines.
If you’re tired of playing whack-a-mole with performance issues – fixing one problem only to have another pop up – it might be time for a comprehensive performance audit.
A professional audit doesn’t just measure how fast your site is today – it provides a roadmap for sustainable performance that grows with your business. It combines technical expertise with business context to deliver insights that actually move the needle on metrics that matter.
Want a deep-dive audit of your store’s real performance bottlenecks? Explore our eCommerce Audit Services to learn how we can help transform your site from sluggish to lightning-fast—and keep it that way.
Manthan is the Director of Solutions at Krish, specializing in solution architecture, strategy, and client engagement. With expertise in eCommerce, Enterprise CMS, cloud solutions, and integrations, he is passionate about bridging technology and business to drive innovation and efficiency. As a techno-functional consultant and SME, he helps brands optimize technology stacks, streamline operations, and scale effectively, enabling sustainable digital transformation in an ever-evolving landscape.
4 November, 2024 An eCommerce website audit refers to a comprehensive (holistic) analysis of your online store. It helps evaluate the store’s performance from an SEO point of view. Through this exhaustive audit, you get a clear picture of all the web pages, such as the homepage, category pages, product pages, cart page, checkout page, their technical performance, and off-page SEO aspects such as backlinks. It is an elaborate process that involves several steps, such as checking and optimizing the site's content and technical aspects as well. Hence, it’s a good idea to keep an eCommerce website audit checklist handy. It will not only help you discover the shortcomings in your eCommerce store but also drive the optimization process while skyrocketing sales.
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