A new storefront for 7,000 sneakers that took online sales from a fifth of the business to a third.
Sneaker and streetwear retailer in Woodland Hills. We rebuilt the Shopify storefront, cleaned up a seven-thousand-product catalog, wired search, SEO, and email, and judged the first month against in-store sales over the same weeks.
Growth you can separate from the weather.
Source: Shopify and PostHog. Online orders and revenue compare Jul 22 to Sep 20, 2026 with the same dates in 2025; the before figure is the month before relaunch against its 2025 match. In-store sales fell over the same weeks, so the lift is the site, not the season. [Figures pending client sign-off.]
Seven thousand products and a checkout nobody could finish.
The old site was not taking orders. Over five thousand products had no description, 788 had no photo, a 230-product Kobe collection returned a 404, sizes were typed by hand, and every customer email was Shopify's unbranded default.
What we did
Rebuilt the storefront on Shopify
New theme, a mega menu over roughly 150 taxonomy collections that had been sitting unpublished, size facets driven by real metafields, a condition scale for pre-owned pairs, and pinch-zoom product photos for a 91% mobile audience.
Cleaned the catalog with a sneaker database
2,155 descriptions and 1,735 SKUs backfilled in two runs. Products without photos pulled off the web and kept in-store only.
Made search the second page on the site
Predictive search, popular chips built from real query data, and a size-intent hint that turns "size 10" into a filter. Shoppers who search buy at 4.3 times the rate of those who do not.
Launched SEO on day one
Breadcrumbs, product and store schema, a 6,859-URL sitemap, corrected store address and hours. 135 clicks from Google by day four; branded queries at number one; "sneaker stores near me" on page one.
Replaced default emails with Klaviyo
Welcome flow paying for itself in its first week. Abandoned checkout, abandoned cart, browse abandonment, and review request flows live within five days of launch.
Read the data and fixed what it said
Too many product views landed on sold-out pairs, so a "more like this, in stock" row shipped the same day. A recently-viewed row underperformed and is on the list to cut. All of it in the report.