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bc-performance

Optimize BigCommerce storefront performance — CDN, image optimization, lazy loading, Stencil theme optimization, API response caching, GraphQL query efficiency, and Core Web Vitals. Use when improving store speed or diagnosing performance issues.

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Atualizado há 5 meses

Ver no GitHub ↗ Licença: MIT

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BigCommerce Performance Optimization

Before writing code

Fetch live docs:

  1. Web-search site:developer.bigcommerce.com performance for performance guide
  2. Web-search bigcommerce stencil theme performance optimization for theme tuning
  3. Web-search bigcommerce core web vitals optimization for CWV improvements

Platform-Level Performance

BigCommerce CDN

BigCommerce automatically serves storefronts via its global CDN:

  • Static assets (JS, CSS, images) cached at edge
  • Akamai-powered infrastructure
  • Automatic HTTPS/SSL
  • No CDN configuration needed from developers

Server-Side Rendering

Stencil themes are server-rendered by BigCommerce:

  • HTML generated on BigCommerce infrastructure
  • Response times depend on template complexity and front matter data
  • Minimize front matter requests for faster server response

Stencil Theme Optimization

Reduce Front Matter Data

Front matter declares what data to load per page — only request what you need:

  • Remove unused front matter sections (e.g., related_products if not displayed)
  • Reduce limit values to minimum needed
  • Use {{#if}} to conditionally render sections, but note the data is still fetched

JavaScript Optimization

  • Bundle size: minimize third-party dependencies
  • Code splitting: use dynamic imports for page-specific code
  • Defer non-critical JS: use defer or async attributes
  • Remove unused jQuery plugins if the theme ships jQuery
  • Tree shaking: ensure webpack is configured for dead code elimination

CSS Optimization

  • Remove unused SCSS — audit with coverage tools
  • Minimize use of @extend (causes CSS bloat)
  • Use CSS custom properties for runtime theming instead of SCSS variables where appropriate
  • Critical CSS: inline above-the-fold styles

Image Optimization

  • Use BigCommerce's image CDN — images are auto-resized via {{getImage}} helper
  • Specify appropriate image dimensions: {{getImage product.image 'product_size'}}
  • Use modern formats: BigCommerce CDN serves WebP when supported
  • Lazy load below-the-fold images: loading="lazy"
  • Use responsive images with srcset and sizes

Template Optimization

  • Minimize Handlebars helper nesting depth
  • Reduce the number of partials per page
  • Cache computed values — don't repeat the same helper call
  • Use {{#if}} to skip rendering for empty data

API Performance

REST API Optimization

  • Use include to fetch sub-resources in one request (avoid N+1)
  • Use include_fields / exclude_fields to reduce response payload
  • Implement caching for read-heavy data (products, categories)
  • Respect rate limits — batch operations where possible
  • Use webhooks instead of polling for real-time data

GraphQL Optimization

  • Request only needed fields — avoid over-fetching
  • Use pagination (first/after) — never request all items
  • Use fragments for reusable field sets
  • Be aware of query complexity limits
  • Cache GraphQL responses on your side (Catalyst uses Next.js caching)

Caching Patterns

| Data Type | Cache Strategy | TTL | |-----------|---------------|-----| | Product catalog | CDN / ISR | 5–60 minutes | | Category tree | CDN / ISR | 5–60 minutes | | Cart | No cache | Real-time | | Customer data | No cache | Real-time | | Store settings | Long cache | 1–24 hours | | Static assets | CDN | Long-term (versioned) |

Core Web Vitals

LCP (Largest Contentful Paint)

  • Optimize hero images: correct size, preload, no lazy load
  • Minimize server response time (reduce front matter)
  • Preload critical fonts: <link rel="preload" href="font.woff2" as="font">

FID / INP (Interaction to Next Paint)

  • Minimize main thread blocking — defer heavy JS
  • Break up long tasks
  • Use requestIdleCallback for non-critical work
  • Reduce JavaScript bundle size

CLS (Cumulative Layout Shift)

  • Set explicit dimensions on images and embeds
  • Reserve space for dynamic content (ads, lazy-loaded elements)
  • Avoid inserting content above existing content
  • Use font-display: swap with size-adjusted fallback fonts

Headless (Catalyst) Performance

Next.js Optimizations

  • Static Generation: pre-render product/category pages at build
  • ISR: revalidate on interval for fresh data without full rebuild
  • Edge Functions: run logic at CDN edge
  • Image Optimization: next/image for automatic resizing, WebP, lazy loading
  • Font Optimization: next/font for zero-CLS web fonts

GraphQL Caching in Catalyst

  • Server-side: Next.js data cache with revalidation
  • Client-side: SWR or React Query for client-fetched data
  • Storefront API responses can be cached at CDN level

Best Practices

  • Measure before optimizing — use Lighthouse, WebPageTest, Chrome DevTools
  • Minimize front matter data — only fetch what the page displays
  • Lazy load images below the fold
  • Defer non-critical JavaScript
  • Reduce third-party script impact (analytics, chat, pixels)
  • Use BigCommerce CDN for all assets — don't self-host
  • Cache API responses for read-heavy data
  • Use ISR/SSG for headless storefronts
  • Monitor Core Web Vitals in Google Search Console
  • Test performance across device types and connection speeds

Fetch the BigCommerce performance documentation and Stencil optimization guide for current CDN features, image handling, and performance best practices before implementing.

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