Conversion-Led UX & Wireframes
Wireframes for home, collection, product, cart and checkout drawn from your own session recordings, site-search logs and support tickets. Not a template library.
Custom Shopify storefronts for Irish brands whose second and third customers live in Boston and Berlin, not Blackrock.
Delivered remotely for brands across Dublin and Ireland.
Most Irish stores are designed for the domestic buyer and then asked to serve everyone else with a currency dropdown. It shows. A buyer in Chicago lands on a page priced in euro, with delivery estimates written for Leinster, a returns address in Dublin 8 and a size guide in centimetres, and they leave without ever telling you why. The build decisions that fix that are made in week two of a project, not in month nine when someone notices the US conversion rate.
So we design the storefront as three market experiences sharing one codebase from the first wireframe. Pricing, delivery promise, returns language, size conventions, tax display and trust content all change by market; the catalogue, the inventory and the theme do not. It is far cheaper to build the market layer in than to retrofit it around a theme that assumed one country, and Irish brands cross that line earlier than almost anyone.
Then there is the catalogue Dublin actually produces. Knitwear sells on provenance and on fit for a body the buyer cannot photograph, so the page has to carry mill or maker detail, model measurements and an honest lead time on made-to-order pieces. Jewellery and Celtic gifting sells against a delivery date, which means the promise has to be computed per destination rather than disclaimed on a shipping page. Hampers and artisan food are priced like a gift and shipped like freight, with perishability and restricted destinations that belong in shipping profiles, not in a note to the customer. We design the templates around those realities instead of asking your category to fit a stock theme.
An Irish consumer brand has two immovable dates and a build has to respect both. Showcase at the RDS in January puts a wave of wholesale and press attention on you in a single week, and a store that is half-migrated when a buyer or a journalist looks it up has wasted the stand. Then the gifting run starts in October and does not stop until the last international dispatch date before Christmas, followed by the St Patrick's spike in March when diaspora search demand for anything Irish goes vertical. That leaves two sane launch windows: late spring and the back half of summer. We scope to land in one of them with weeks of testing left over, and we never cut DNS in the fortnight before an international shipping deadline. A technically excellent build that arrives in the first week of November has already cost you the year.
The same standard of work we run for every client — applied to a Dublin brand’s realities.
Full service detailWireframes for home, collection, product, cart and checkout drawn from your own session recordings, site-search logs and support tickets. Not a template library.
A bespoke theme in clean, commented Liquid with modular sections your team can rearrange themselves. Zero dependency on page-builder apps.
Collection architecture, filtering, badging and cross-sell rules mapped to how your catalogue actually sells. Bestsellers surface; dead stock stops eating grid space.
Image pipeline, third-party script audit and app cleanup enforced against a hard budget: LCP under 2.5s on 4G mobile, CLS under 0.1, INP under 200ms.
Products, variants, metafields, collection copy and redirects loaded and QA'd in a dev store before cutover. You review a real store, not a Figma file.
Loom walkthroughs, a written theme guide and 30 days of post-launch fixes included. Your team owns the store from day one.
We do not work off a rate card. Every Dublin engagement starts with a fixed statement of work — named deliverables, named dates, one number — written after we have looked at your store, not before. If a smaller first step would serve you better, we will say so.
Get this scopedTwo weeks inside your analytics, heatmaps, site search and support inbox. We leave with a ranked list of what is currently costing you revenue.
Sitemap, template inventory and grey-box wireframes for every page type. Signed off before a single pixel gets designed.
Figma component library, type scale and every awkward state: empty cart, sold out, pre-order, bundle, back-in-stock, subscription upsell.
Liquid development in a dev store, tested on real devices and against your live app stack. Accessibility checked to WCAG 2.1 AA.
Redirect map, tracking validation, DNS cutover on a low-traffic window. Then 30 days of monitoring against the pre-launch baseline.
Anonymised under NDA. Figures pulled from the client’s own analytics.
~$6M/yr DTC, 900+ SKUs across size and colour variants, US · Shopify Plus
Returns ran at 31% and refund cost consumed the entire paid media margin. One size chart image served 40 different fits, and 62% of add-to-carts started on a collection page that never showed variant availability. The named constraint: no new product photography budget, so every fix had to come out of the existing asset library and the review corpus.
~$11M/yr, 2,300 SKUs, configurable upholstery, US · Shopify Plus + Hydrogen storefront (Oxygen)
Fabric, leg and size options turned 2,300 SKUs into more than 40,000 variant permutations, and the Liquid theme rendered a configurable PDP in 6.9 seconds on mobile. Collection filtering ran client-side, so 40% of shoppers left before the first product painted. The named constraint: the ERP stayed. It was the single source of truth for stock and lead times and was not up for replacement.
“Full rebuild in 11 weeks, launched two days before Black Friday, which was an aggressive ask and probably a stupid one on my part. They pushed back hard on three homepage ideas I was attached to and were right about all three. AOV went from $58 to $79, mostly off the bundle builder they put on the product page.”
Thirty minutes with the strategist who would actually run your account. We screen-share your store, read your data live, and tell you the three highest-value things we can see from the outside.
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.