Sugar Babies, Part Three: A Storefront Facelift With No Replatform
The ads were rebuilt. The campaign matrix was scaling. The last gap was the storefront itself. I upgraded shopsugarbabies.com on its existing stock theme: custom product cards, a re-merchandised homepage, reviews surfaced site-wide. No replatform, no theme rebuild, no twelve-week redesign project.
01 The numbers
- 0 Replatforms or theme rebuilds
- 195+ Customer reviews surfaced on the storefront
- 10 Premium brands merchandised up front
- 1 Operator across design, build, and ads
02 The breakdown
The Setup
Sugar Babies is a baby boutique with a physical store in Washington and a national DTC catalog built on premium third-party brands: Nuna, UPPAbaby, Cybex, Maxi-Cosi, Stokke, Silver Cross. By the time the storefront work started, the Google Ads account had already been rebuilt once (part one) and scaled into a six-campaign Performance Max matrix (part two).
That created a specific problem. The paid program had outgrown the storefront. The catalog carried $1,000 strollers and heirloom-grade nursery furniture, and the site presenting them looked like what it was: a stock Shopify theme with default settings. Premium brands, default frame.
The Decision: Facelift, Not Rebuild
The standard answer to “the site looks dated” is a redesign project. A new theme or a headless build, a quarter of work, a five-figure invoice, and a migration that puts your checkout, your tracking, and your SEO equity all at risk in the same month.
I took the other route: keep the stock theme and upgrade it in place. Custom CSS and JavaScript injected through the theme layer, every change staged and reviewed on a theme copy before it touched the live store, the production site untouched until go-live day.
The reasoning is not aesthetic, it is operational. The Performance Max matrix runs on these landing pages. Server-side tracking runs through this checkout. A replatform would have reset signal the ad account had spent months building. A facelift upgrades the frame without touching the foundation.
Where the Storefront Landed
The store at shopsugarbabies.com now opens on a brand-led hero, moves through the ten premium partner brands up front, and merchandises the six core categories the buying decisions actually happen in: travel systems, car seats, nursery furniture, high chairs, gliders, diaper bags.
Product cards carry variant swatches so a buyer can move through colorways without leaving the collection page. The 195-plus customer reviews that used to live only in an app dashboard now run as social proof on the storefront itself, next to the products they were written about. The catalog SEO layer shipped in parallel: collection copy, internal linking, and twelve thousand image alt texts, documented in part two.
None of it required a platform decision. All of it shipped while the store kept selling.
Why This Is the Playbook
Most Shopify stores doing $1M to $20M do not need a replatform. They need the storefront brought up to the caliber of their catalog, without interrupting the machine that is already running. That is a different discipline than web design: it is knowing which upgrades move conversion, which ones risk the ad account, and how to ship on a live store without breaking it.
Same operator on the storefront as on the campaign matrix as on the tracking stack. That is the point. The person changing the product cards knows exactly which landing pages the ad spend depends on.
If your storefront is the thing lagging behind your catalog, the storefront work runs exactly like this.
03 More work
Other accounts, same approach.
1 → 6 pmax campaign matrix
Fourteen months after the original rebuild, Sugar Babies was ready for the next layer. I expanded one Performance Max campaign into a six-campaign geo × value-band matrix, seeded 26 Customer Match segments into the bidding signal, refreshed all 300 search themes across the matrix, and shipped the catalog SEO foundation the matrix runs on.
Read the breakdown→
1.9x lift blended roas
An online retailer with strong organic demand was running a single Performance Max campaign trying to do everything at once. I rebuilt the structure around brand isolation, smart feed segmentation, and clean server-side tracking, and turned a flat account into a predictable growth engine.
Read the breakdown→Ready to talk
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