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.
Shopify storefronts for Portland brands whose customers read the spec sheet before they read the marketing.
Delivered remotely for brands across Portland and Oregon.
Portland sells to a buyer who wants the numbers. Last shape, volume, upper material, stack height, drop, denier, fill weight, whether the sole can be resoled and by whom. A theme that treats all of that as a paragraph of body copy under the add-to-cart is throwing away the only thing that separates a considered purchase from a coin flip. We build the product page around structured fields — metafields per attribute, not prose — so the same data drives the filter, the comparison table, the size guidance and the schema without anyone retyping it.
That structure is also the cheapest return-rate work available. Most footwear and technical apparel returns in this metro trace back to a page that could not answer a width or layering question, and the fix is not a returns app bolted on afterwards. It is width and volume stated as their own values rather than buried in a size chart image, a comparison to the well-known models a Portland customer probably already owns, and aggregated fit feedback shown where the size selector is, not three scrolls down in reviews.
The third thing a Portland build has to carry is the second life of the product. Warranty registration, repair booking, parts ordering, trade-in intake and a condition-graded refurbished line are reasons people buy here, not after-sales admin. We design those as storefront templates from the start — a refurbished collection with real grading standards, a warranty flow that captures the serial at registration — because retrofitting them into a theme built for a single linear purchase is always the more expensive job.
Portland is the one metro in North America where a small brand can reach pattern makers, developers, materials people and sample rooms inside an afternoon's drive, and that changes how a build has to be sequenced. Catalogues here move in small runs with genuine spec changes between them, so the store cannot depend on a one-off content load done by an agency and never touched again. We build the admin side for the person in the Central Eastside workshop who knows what changed: metafield definitions with sensible names, a documented per-attribute template, bulk editor views set up for a size-and-width matrix, and a drop workflow that does not require a developer. We also plan the build around the wet half of the year, because a technical outerwear brand does its photography and merchandising for autumn in July and does not want DNS moving in October.
The same standard of work we run for every client — applied to a Portland 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 Portland 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.