TL;DR: Improve BigCommerce Core Web Vitals by measuring LCP, INP, and CLS, prioritizing critical page content, reducing unnecessary JavaScript, eliminating render-blocking resources, and preventing layout shifts. Use PageSpeed Insights and Google Search Console to identify problems, validate fixes, and monitor real-user performance on mobile and desktop.
A BigCommerce store can have a well-designed theme and still deliver a slow or frustrating shopping experience. Heavy scripts, delayed product content, third-party apps, and unstable page elements can affect loading speed, responsiveness, and visual stability.
Improving BigCommerce Core Web Vitals starts with identifying which metric is failing and understanding what causes it. Instead of changing everything at once, test important pages, fix the issues affecting visitors most, and measure the results.
What Should You Fix to Improve BigCommerce Core Web Vitals
- Check performance: Use Google PageSpeed Insights and Google Search Console to identify failing metrics and affected pages.
- Improve LCP: Prioritize the main visible content, reduce server delays, and eliminate render-blocking resources.
- Improve INP: Reduce unnecessary JavaScript execution, long tasks, and third-party scripts that block user interactions.
- Improve CLS: Reserve space for images, banners, fonts, and dynamically loaded elements.
- Test mobile separately: Investigate mobile-specific delays caused by slower processors, network conditions, and heavy page elements.
- Validate changes: Retest affected pages and monitor real-user data to confirm that improvements persist.
What Are Core Web Vitals for BigCommerce?
Core Web Vitals are three Google metrics that measure how quickly a page displays its main content, responds to user interactions, and maintains a stable layout. They apply to BigCommerce storefronts just as they do to other websites.
Google recommends the following thresholds, assessed at the 75th percentile of page visits and separately for mobile and desktop.
| Metric | What it measures | Good result |
|---|---|---|
| Largest Contentful Paint (LCP) | How quickly the main visible content appears | 2.5 seconds or less |
| Interaction to Next Paint (INP) | How quickly the page responds to interactions | 200 milliseconds or less |
| Cumulative Layout Shift (CLS) | How stable the visible layout remains | 0.1 or less |
These metrics measure different problems, so improving one does not guarantee that the others will improve. For example, a product page might display quickly but still respond slowly when shoppers select product options or open filters.
Good Core Web Vitals support a better page experience, but they do not guarantee higher rankings. Google’s ranking systems consider many signals, including relevance and content quality.
Why Are My BigCommerce Core Web Vitals Poor?
Poor BigCommerce Core Web Vitals usually result from a combination of theme resources, JavaScript execution, delayed content, and elements that change position during loading. The BigCommerce platform itself is not necessarily the problem.
A storefront may accumulate performance issues as new features are added. Product reviews, chat widgets, analytics, advertising pixels, recommendation tools, and custom scripts can all introduce additional downloads and browser processing.
BigCommerce’s own storefront performance documentation discusses the importance of optimizing LCP, INP, and CLS.
Start by investigating three common causes: render-blocking CSS and JavaScript, unnecessary third-party scripts, and delayed or dynamically inserted content. The key is to identify which issue affects the failing metric instead of applying every possible optimization.
How Do I Check Core Web Vitals for a BigCommerce Store?
Use Google PageSpeed Insights to test individual BigCommerce URLs, then use Google Search Console to understand how real visitors experience your storefront over time.
Follow this process:
- Open Google PageSpeed Insights and enter your BigCommerce homepage URL.
- Review the Core Web Vitals assessment and available real-user data for LCP, INP, and CLS. If field data is unavailable, use Lighthouse diagnostics to investigate potential performance issues.
- Switch between mobile and desktop results to identify device-specific problems.
- Review Lighthouse diagnostics, including render-blocking resources, JavaScript execution, and layout shifts. Check Total Blocking Time (TBT) for additional clues about potential responsiveness problems.
- Repeat the test for representative product pages, category pages, and other important shopping pages.
- Open the Core Web Vitals report in Google Search Console to review field data for groups of URLs.
PageSpeed Insights can provide both simulated lab results and real-user field data when sufficient Chrome User Experience Report data is available. These results answer different questions: lab tests help investigate causes, while field data shows how visitors actually experience the site.
Why Does My BigCommerce Store Pass Desktop Tests but Fail Mobile Tests?
A BigCommerce store may perform well on desktop but struggle on mobile because phones often have less processing power, and mobile visitors may use slower or less consistent connections.
Large JavaScript bundles, heavy navigation menus, multiple third-party scripts, and above-the-fold content that loads late can all make mobile performance worse.
Test mobile separately, then investigate the specific resources and tasks responsible for the delay. Avoid treating a good desktop score as proof that the mobile experience is equally fast.
How to Improve BigCommerce Core Web Vitals
The most effective BigCommerce Core Web Vitals optimization strategy is to fix the failing metric first. Work through the following areas, retesting after each meaningful change.
1. Improve BigCommerce LCP by Prioritizing Main Content
BigCommerce LCP optimization focuses on displaying the largest visible content element within 2.5 seconds. On an ecommerce page, this might be a hero image, a product image, or a large text block.
Start by identifying the element reported as LCP in PageSpeed Insights. If it is a product image or banner, check whether the browser discovers and loads it promptly. If it is delayed by a stylesheet, script, or slow server response, address that dependency first.
Avoid lazy-loading the main image when it is immediately visible. Lazy loading is generally better suited to images farther down the page. Make sure the browser can discover the LCP image early in the initial HTML. If it is an image element, consider using the fetchpriority="high" attribute to help the browser prioritize it. If the image is loaded through CSS or JavaScript, consider preloading it when necessary to avoid delays.
Also review server response time, CSS delivery, and the order in which critical resources load. BigCommerce merchants using customized Stencil themes should check whether unnecessary theme code delays the main content.
2. Improve BigCommerce INP by Reducing JavaScript Work
BigCommerce INP optimization aims to keep interactions responsive, with a good result of 200 milliseconds or less. This matters when shoppers open menus, apply filters, select product variants, or add items to their carts.
Begin by auditing third-party scripts and custom JavaScript. Remove scripts that are no longer needed, and avoid loading features on every page when they are only required on specific pages.
Next, investigate long-running JavaScript tasks using Chrome DevTools. Record interactions such as opening menus, selecting product variants, applying filters, and updating cart quantities to identify tasks that delay the browser’s response. Defer non-critical scripts when safe, and break up expensive tasks where the implementation allows it.
Do not delay scripts that are essential for product selection, cart functionality, or checkout. Test these interactions after every change to confirm that the storefront continues to work correctly.
3. Improve BigCommerce CLS by Preventing Layout Shifts
BigCommerce CLS optimization means keeping visible elements in predictable positions as the page loads and changes. Aim for a CLS score of 0.1 or less.
Reserve space for product images, promotional banners, embedded content, and other elements that load asynchronously. Specify image dimensions or use an appropriate aspect ratio so the browser knows how much space to allocate before an image appears.
Pay particular attention to promotional bars, cookie notices, review widgets, and web fonts. If a banner is inserted above the product title after the initial render, the content below it may shift unexpectedly.
Where possible, reserve the banner’s space in advance or display it without pushing existing content down. Test the page while scrolling and interacting, not just immediately after it loads.
4. Audit Your BigCommerce Theme and Third-Party Apps
Your theme and installed apps can influence all three Core Web Vitals. A feature that adds only a small amount of code may seem harmless, but multiple features can create substantial combined overhead.
Review installed apps, custom scripts, tracking tools, chat widgets, and product recommendation features. Determine which are essential and whether they need to load on every page.
If your store uses a Stencil storefront, inspect customized theme templates, stylesheets, and scripts before removing or changing anything. For Catalyst or custom headless storefronts, investigate the frontend application, rendering process, caching, and API integrations instead. Minification, caching, and efficient resource loading may help, but they will not fix every problem. A long-running script, for example, may require changes to its execution rather than a smaller download.
If your store has recently become slower, compare its current configuration with the last known good version. Recent theme edits or app installations can provide useful clues.
5. Use BigCommerce Core Web Vitals Optimization Tools
The most useful BigCommerce Core Web Vitals tools combine testing, diagnosis, and real-user monitoring rather than relying on a single score.
| Tool | Best use |
|---|---|
| Google PageSpeed Insights | Test individual URLs and inspect lab diagnostics and available field data |
| Google Search Console | Identify groups of pages with poor real-user Core Web Vitals |
| Chrome DevTools | Investigate JavaScript tasks, rendering delays, and layout shifts |
| BigCommerce performance documentation | Understand platform-specific storefront optimization considerations |
Website Speedy is another option merchants may evaluate when looking to automate aspects of website speed optimization. Its role should be assessed against the specific performance issues identified in testing, rather than assuming a tool will resolve every Core Web Vitals problem.
For any optimization tool, compare results before and after implementation and verify that storefront functionality remains intact.
Automating BigCommerce Speed Optimization for Core Web Vitals
Automating some speed optimizations can help address technical issues affecting BigCommerce Core Web Vitals, particularly when render-blocking resources or inefficient script loading delay page rendering. However, the right fixes depend on which metrics are underperforming.
For example, if a BigCommerce product page has poor LCP and INP on mobile, start by identifying what delays the main product image and which scripts keep the browser busy. Addressing render-blocking resources can help the main content appear sooner, while reducing unnecessary JavaScript execution can improve responsiveness.
Tools such as Website Speedy automate certain website speed optimizations, including render-blocking resource optimization and script-loading improvements. These changes may help address some issues affecting Core Web Vitals, but the results depend on the storefront’s implementation and the underlying causes. Retest the affected pages using PageSpeed Insights to verify the impact.
A BigCommerce customer shared their experience with Website Speedy:
“Started a Free trial and Upgraded Instantly as was keen for a speed boast for our BigCommerce Web shop.Have seen instant results in our web shop site speed and at the same time increased shoppers and time spent shopping on our Bigcommerce web shop.”
This review describes the customer’s reported experience, rather than independently verified Core Web Vitals results. For any automated optimization, measure LCP, INP, and CLS before and after implementation to establish whether performance actually improved.
How to Measure BigCommerce Website Performance After Fixes
Measure BigCommerce website performance by comparing the same URLs before and after optimization, checking both lab diagnostics and real-user field data where available.
Repeat PageSpeed Insights tests on mobile and desktop. Record the LCP, INP, and CLS results, along with relevant diagnostic findings. Keep testing conditions as consistent as possible because network conditions and other variables can cause scores to fluctuate.
Then monitor Google Search Console for changes in field data. These results may take time to reflect recent changes because they are based on real visits over a rolling period.
Also test real shopping journeys, including product selection, navigation, cart updates, and checkout. A faster page is not an improvement if an optimization breaks a key customer interaction.
Finally, remember that a passing Core Web Vitals assessment does not guarantee a particular search ranking or conversion rate. The goal is a consistently fast, responsive, and stable storefront for actual visitors.
Conclusion
Improving BigCommerce Core Web Vitals requires more than chasing a higher PageSpeed score. Identify whether LCP, INP, or CLS is underperforming, investigate the resources responsible, and make targeted changes to your theme, scripts, and page layout.
Use lab testing to diagnose issues and real-user data to validate results. By repeating this process across important product, category, and mobile pages, you can make informed improvements to your BigCommerce store’s loading speed, responsiveness, and visual stability.