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Your Checkout is Losing 40% of Buyers Before They Click 'Pay'

If you're running ecommerce on a theme framework, you're watching cart abandonment metrics climb while your dev team explains 'technical debt'.

We build custom Next.js storefronts backed by Shopify or Medusa that cut checkout friction, load in under a second on mobile, and eliminate per-transaction platform fees that compound as you scale. Most clients recover the build cost within 90 days through measurable conversion improvements, not projected ones.

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Custom Ecommerce Development

Custom ecommerce development is pretty much what it sounds like -- instead of dropping your business into a pre-built theme framework and hoping it fits, you're getting a storefront engineered from scratch around your actual catalog, your checkout flow, and how your specific customers behave. We're talking about real architectural decisions: Next.js on the frontend, headless Shopify or Medusa as the commerce engine underneath. Not a theme. Not a page builder. Code your team owns outright. Here's the thing most merchants don't realize until they've hit a wall with Shopify Liquid or WooCommerce: off-the-shelf platforms make assumptions about how you sell. And those assumptions are baked so deep into the framework that working around them means duct-taping plugins together until something breaks at 11pm on Cyber Monday. We've seen it happen in Chicago, Austin, London -- doesn't matter the market. With a custom build, your team controls the performance logic, the integration layer, the checkout behavior -- all of it. Want to add a subscription model, a B2B pricing tier, or a custom bundle configurator? You're modifying clean, documented React components, not wrestling with a theme file that also happens to control your navigation. The codebase is yours. No vendor lock-in, no per-transaction tax on your growth, no waiting on a platform's app marketplace to ship a feature your business needed six months ago. That's the real difference. It's not about being fancy. It's about building something that stops costing you money as you scale.

What is holding your current website back?

Common gaps we find in nearly every audit.

Here's something that doesn't show up on your plugin vendor's marketing page: every app you add to your checkout path is another dependency, another network request, another thing that can silently fail on a $300 Android in rural Ohio
Risk: Most Liquid-based stores we audit are running 12 to 18 separate plugins through the checkout alone. And every one of those adds latency. The data on this is pretty unambiguous -- every 100ms of added checkout load time measurably bumps abandonment. But the real kicker is what happens when something breaks. Because these plugins share the same global JavaScript scope and fire in sequence, you can't isolate the failing piece without pulling the whole stack apart. So your dev team's stuck playing whack-a-mole instead of shipping anything useful.
Platform transaction fees sound small until you run the actual math against your P&L
Risk: These fees hit gross revenue -- not profit -- so as your order volume grows, the fee scales up right alongside it. The efficiency never comes. At meaningful revenue, say $3M-$5M annually, those fees will often exceed what a custom build costs in a single year. And yet most finance teams treat it like a utility bill rather than an engineering problem with a real solution. Honestly, it's one of the first things we show clients in a discovery conversation -- just the fee math alone sometimes closes the business case before we've even talked about performance.
This one frustrates dev teams more than anything else we hear about
Risk: Your checkout logic and your storefront presentation are tangled inside the same theme files. So when marketing wants to test a new bundle offer or swap out a pricing structure, engineering has to crack open files that also control the nav, the product grid, maybe the footer. Every change carries regression risk. That coupling kills iteration speed. And slow iteration in ecommerce is expensive -- you're not just losing developer hours, you're losing the experiments that would've found your next conversion lift. Separating business logic from the presentation layer isn't an architectural luxury. It's how you actually ship fast.

How We Build This Right

Every safeguard, built in from Day 1.

PCI DSS Scope Reduction

We route the payment flow so cardholder data never hits your application servers. Full stop. That keeps your PCI scope at SAQ A -- the lightest possible compliance category -- which means no annual QSA audits, no quarterly scans, none of the overhead that comes with handling raw card data yourself. Stripe and similar processors do the heavy lifting; your codebase just never sees the sensitive stuff.

WCAG 2.1 AA Accessibility

Every component we ship is built and tested against WCAG 2.1 AA. That's not a checkbox at the end of the project -- it's part of how we write the code from day one. Keyboard navigation, screen reader compatibility, color contrast ratios across the full purchase path. All of it. An inaccessible checkout isn't just a legal exposure; it's real revenue you're leaving on the table.

Core Web Vitals Targets

We put LCP, CLS, and INP targets in the contract before we write a single line of code. And we validate those targets against real device testing -- not Chrome DevTools lab scores, not a Lighthouse run on a MacBook Pro. Actual mid-range hardware, actual network conditions. Because that's where your customers are shopping, not on a developer's M3 Max.

What We Build

Purpose-built features for your industry.

Sub-Second Mobile Checkout

Route-level code splitting, edge-cached API responses, optimistic UI patterns -- these aren't nice-to-haves we bolt on at the end. They're how we architect the checkout from the start. The goal is sub-one-second render on a mid-range Android on 4G, because that's the device profile where your abandonment is actually concentrated. Most clients are surprised when we show them their own analytics broken down by device and connection speed. The drop-off patterns are pretty eye-opening.

Headless Commerce Backend

Whether your catalog lives in Shopify or Medusa, we wrap it in a typed API layer that the Next.js frontend queries directly. No theme engine sitting in between, adding its own rendering overhead and opinion about how data should look. Your frontend gets clean, predictable responses. Your commerce logic stays on the backend where it belongs. And your team gets a codebase where changing one side doesn't require understanding the other.

Conversion-Focused Checkout Architecture

Before we write any code, we dig into your existing abandonment funnel -- session recordings, analytics events, device breakdown, the works. We want to know exactly where people are leaving and why. That analysis drives the checkout component structure. So we're not designing around what a generic checkout template assumes your customers do. We're designing around what your analytics prove they actually do.

Owned Codebase with Full CI/CD

When we hand off a project, your team gets a fully documented repository, automated test coverage, and preview deployments that fire on every pull request. You're not dependent on us to ship future changes. Your internal engineers can take it forward, or any future agency can, without starting over. That's intentional -- we've inherited enough mystery codebases ourselves to know how much that matters.

Our Development Process

From discovery to launch. Quality at every step.

01

Conversion Audit and Scope Definition

1 week

We start every engagement with a proper audit of your current checkout funnel -- session recordings, analytics data, device and connection performance breakdowns. We want to find the specific friction points that are costing you conversions right now, not guess at them. That audit defines the build scope and sets the concrete benchmarks -- performance targets, conversion baselines -- that we're contractually held to. No moving goalposts mid-project.

02

Architecture and Data Modeling

1-2 weeks

Architecture before code. Always. We design the frontend component structure, API contracts, and backend data model upfront, and we map every commerce logic rule, pricing edge case, and third-party integration explicitly before anyone opens their IDE. This is how you avoid the mid-project "discovery surprises" that blow timelines and budgets. If something's going to be complicated, we want to find out in a Figma doc, not a production incident.

03

Storefront Build and Integration

4-6 weeks

We build the Next.js storefront in parallel with backend configuration -- Shopify or Medusa catalog, payment provider, fulfillment stack, all connected incrementally. Every sprint ships code you can actually click through and test against real data. Nothing's a mock at demo time. We measure each sprint against the performance and conversion benchmarks from the audit phase, so you always know exactly where we stand.

04

Performance Validation and Launch

1-2 weeks

Pre-launch isn't just a checkbox review. We run full-device performance testing, proper accessibility audits, and load tests against your actual peak traffic projections -- not conservative guesses. We manage the DNS cutover ourselves, monitor live traffic for the first 72 hours, and hand your team a documented runbook before we step back. You're not flying blind after launch day.

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Frequently Asked Questions

Most DTC projects -- 50 to 500 SKUs, custom cart logic, Stripe checkout -- land somewhere between $25K and $90K. Enterprise builds with B2B pricing, multi-region shipping, and ERP integrations push into the $120K-$200K range. The variable that actually drives cost isn't page count. It's checkout complexity and integration depth. We scope everything through a paid discovery phase, usually $3K-$5K, before you commit to the full build. You come out of discovery with an architecture document and a line-item fixed quote -- regardless of whether we end up working together. That's not a sales pitch document; it's something you could hand to another agency and they'd know exactly what to build.
A typical DTC storefront under 200 SKUs ships in 6-8 weeks from kickoff. Larger builds -- custom filtering, B2B pricing tiers, ERP or 3PL integrations -- run 10-14 weeks. We've never missed a Black Friday deadline, and that's not luck. We plan launches with a two-week buffer built in and run load tests at 10x projected traffic before cutting DNS. The buffer is real, not padding on paper.
Shopify Liquid is server-rendered on Shopify's infrastructure, which means you don't control caching behavior, server components aren't an option, and every app you install ships its own JavaScript bundle into your storefront. A headless Next.js storefront on Vercel gives you edge rendering across 70+ regions, sub-second LCP on mobile, and a React codebase your engineers actually want to open in the morning. Honestly, the conversion numbers speak for themselves -- we've measured 18-35% conversion rate lifts migrating brands from Liquid themes to headless. Most of that gain comes from speed alone, not redesigned UX.
If your team's already using Shopify for inventory, fulfillment, or POS, we keep Shopify as the backend and build headless against the Storefront API. Your ops workflow doesn't change. You just ditch the slow theme layer. Starting fresh, or want to cut Shopify's transaction fees and escape the app ecosystem costs? Medusa.js is a fully open-source commerce engine you self-host. We deploy it on Railway or Fly.io with Supabase handling the data layer. Either way, the storefront code is identical -- Next.js doesn't care what's sitting behind the API. So your frontend investment is protected regardless of which backend makes sense for your business.
A typical project runs with three core people: a lead engineer who's senior full-stack across Next.js and commerce APIs, a frontend engineer focused on storefront UI, and a project lead handling timelines, client communication, and QA. Larger builds get a dedicated backend engineer for ERP and 3PL integrations, plus a QA engineer. You'll have a shared Slack channel and weekly async Loom updates. We don't do recurring status meetings -- that time is better spent shipping.
Yes, and we put it in writing. Every storefront we launch hits 90+ on Lighthouse -- Performance, Accessibility, Best Practices, and SEO -- measured on mobile, in production, with your real product catalog and images loaded. Not placeholder content. If scores drop below 90 within 30 days of launch because of something in our code, we fix it at no charge. We also set you up with a performance monitoring dashboard so your team catches regressions before your customers do.
We've migrated stores with 50,000+ SKUs and live order volume without a single minute of downtime. The approach is pretty straightforward: run the new storefront on a staging domain in parallel, sync product and customer data via background jobs, then cut DNS during a low-traffic window -- usually somewhere between 2am and 5am. All existing orders, customer accounts, and subscription data carry over. We then run both systems in parallel for 48-72 hours post-launch as a hard safety net before decommissioning the old stack.
Post-launch, we offer monthly retainer plans starting at $3K/month covering ongoing feature development, performance monitoring, and infrastructure management. Most ecommerce clients run 15-25 hours a month -- new landing pages, A/B test implementations, seasonal promo logic, Stripe billing changes. That kind of thing. But if you'd rather take it fully in-house, the launch handoff package has you covered: codebase documentation, environment setup guides, deployment runbooks, and recorded walkthroughs your team can actually follow.
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