[ Case study ]
The boutique's customers kept asking to buy online, but the owner had been quoted a three-month custom build. Inventory was small and curatorial — the store needed to feel like the shop, not like a template.
CLIENT a women's boutique with two physical locations — FOCUS Design around the shop's actual range
Representative examplesEvery case study in this library is an illustrative composite of the kind of engagement we deliver — written to show our method and standards, not to name clients.
Two small rooms, one curated rail, and a customer base that asks where things are online — the boutique has traded this way for a decade, built entirely on the owner's eye. Roughly thirty pieces are in stock at any time: garments, jewelry, and a few home objects, photographed and written up by the owner herself. In-store and online stock are deliberately separate ledgers. She had been quoted a three-month custom build and had almost decided the shop was better off without a website.
The boutique's customers kept asking to buy online, but the owner had been quoted a three-month custom build. Inventory was small and curatorial — the store needed to feel like the shop, not like a template.
We proposed an honest Squarespace build: the platform's real capability set, sized to a five-week fixed scope, designed around how the boutique actually displays its thirty pieces. Collections mirror the shop's physical arrangement; product pages lead with her photography at consistent proportions; the hosted checkout handles payment, tax, and pickup-versus-shipping within the platform's native model — verified with test orders, not stretched with custom code. Her one-woman workflow was the design brief: uploads, order processing, and the weekly email had to fit the hours she actually has.
Just as important is what we ruled out, and why:
The 30-piece range was structured into collections that mirror how the boutique displays in person, so the store reads as the shop.
Payments, tax, and pickup-vs-shipping options were set up within Squarespace's model and verified with test orders — no promises about customization the platform can't make.
Product uploads, order processing, and the weekly email went into a recorded walkthrough sized to her week.
Delivered by the commerce lead over 5 weeks, with working increments reviewed with the client every week.
Obstacle
Launch-week photography arrived in the aspect ratios her old marketplace had used; half the pieces needed re-cropping while the shop was open.
Handled: We wrote a one-page ratio and lighting guide and front-loaded the remaining shoots to two quiet mornings, then rebuilt the grid around her natural framing instead.
Obstacle
In-store pickup sounded native but needed a flow the platform models awkwardly for a two-location shop — the owner didn't want orders sent to the wrong room.
Handled: We configured location labels and instructions per product category and tested both rooms' flows end to end, then trained her on the few cases that route manually.
The headline: of the first quarter's online orders processed by the owner unaided — 100%, read from Order log plus owner's own account. A second check: online orders in the first month (target was 10) at 19.
The store reads like the shop — customers say so unprompted, which matters more to the owner than any conversion statistic. Online orders now arrive during the week and wait for her like any other task, rather than existing as a parallel job she never started. Regulars buy vacation-week pieces before they travel. The weekly email sells from her own voice instead of a template's, and pickup requests have turned the counter hold-habit into a system with names attached to orders instead of memory.
The result was read from Order log plus owner's own account against the pre-engagement baseline over the stated window, with a guardrail check on online orders in the first month (target was 10). Where platform-reported numbers and business outcomes differ, this record says which layer it is quoting.
What we would do differently
We would have set the product-photography ratio guide before the shoot — half the launch week was spent cropping to fit the grid.
[ Related service ]
[ Related builds ]
3.1% 4.6%Checkout conversion rate, the two months after cutover versus the two months before, like-for-like traffic
−87% 0Gift-checkout failure reports, in the two gift seasons after launch versus the two before
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