Case Study · D2C Retail Brand

A storefront rebuild that cut checkout drop-off

An aging storefront was slow on mobile and losing customers at checkout. A ground-up rebuild fixed both — without a redesign the merchandising team had to relearn.

The story

Speed as a conversion problem, not just a performance metric

The brand's storefront had grown the way most D2C sites do — a template theme extended with a few years of plugins, tracking scripts, and one-off customizations, each individually reasonable and collectively heavy. Traffic was healthy, largely from paid social on mobile, but the numbers downstream of that traffic told a different story: a high bounce rate on product pages and a checkout that a meaningful share of visitors started and never finished.

Store performance audits often stop at Lighthouse scores, which is a mistake — a score is a proxy, and the team already knew, roughly, that the site "felt slow." What they needed was the causal chain from slow to lost revenue: which pages were shedding visitors, at what point in the funnel, and whether the cause was rendering, network, or the checkout flow itself asking for too much too soon. We instrumented the existing site first, rather than guessing from the outside, and let two weeks of real user data tell us where to spend the rebuild effort.

The rebuild moved the storefront onto a modern, server-rendered stack with the product catalog and checkout as the two things engineered hardest — largest images lazy-loaded and served responsively, third-party scripts deferred or removed where they weren't earning their keep, and a checkout flow collapsed from several sequential steps into fewer, clearer ones with inline validation instead of end-of-form error walls. None of this touched the merchandising team's day-to-day: the same catalog, promotions, and content tooling stayed in place, so the rebuild didn't turn into a retraining project on top of an engineering one.

We treated Core Web Vitals as a gate, not a nice-to-have — largest contentful paint and interaction latency were checked against real device conditions, not just a fast office connection, since a meaningful share of the brand's traffic was on mid-range phones over patchy mobile networks. A fast site on a developer's laptop and a fast site on a customer's actual phone are two different claims, and only the second one matters here.

Post-launch, median page load dropped well under half of where it started, mobile bounce rate fell, and — the number the brand cared about most — checkout completion rose. The rebuild didn't change what the brand sold or how it looked; it removed the friction that was quietly costing them customers who had already decided to buy.

Results

What changed

2.4s → 1.0s
Median mobile page load
−41%
Mobile bounce rate
+18%
Checkout completion rate
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FAQ

Questions about this engagement

Years of accumulated plugins and unoptimized images on top of an aging platform — the fixes needed were architectural, not a few quick tweaks, which is why a rebuild made more sense than patching.

Yes — product catalog, order history, and customer accounts all migrated over with validation checks, so nothing was lost in the move to the new platform.

By cutting page weight and load time on mobile first, since that's where most of the drop-off was happening, then simplifying the checkout flow itself to remove unnecessary steps.

No — the new storefront was built and tested in parallel, with a staged DNS cutover, so customers never saw an outage during the switch.

A modern headless setup chosen to hit Core Web Vitals targets on mobile — the specific stack matters less than the discipline of shipping a lean, fast frontend.

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