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Case StudyMar 12, 2026·8 min read

How We Cut E-commerce Load Times by 70%

A technical deep-dive into performance optimization for a Stripe-powered UK marketplace.

PerformanceE-commerce
Load time speedometer improvement

In e-commerce, milliseconds equal millions. Amazon famously reported that every 100ms of latency cost them 1% in sales. A UK-based boutique marketplace came to us with a beautiful but sluggish Magento site. Average page load: 5.2 seconds.

The Investigation

  • Render-blocking scripts: Third-party tracking and ad scripts were stalling the initial paint.
  • Image bloat: High-res product photos were being served uncompressed.
  • Synchronous API calls: The server waited for payment gateway and inventory checks before returning HTML.

The Refactor

We migrated the frontend to a headless architecture using Next.js. We moved third-party scripts to a Web Worker using Partytown, implemented Next/Image for on-the-fly WebP conversion, and decoupled inventory checks to run client-side after the static product shell loaded.

Before and after waterfall chart

The Result

Average Load Time dropped to 1.4 seconds. Conversion rates jumped by 22% in the first month following the deployment.