Rebuilding Bubbleroom for a 2.01% conversion rate
A fashion & footwear brand in Finland. Full-stack Shopify engagement covering technical seo and structured data, checkout and payments optimisation, post-launch iteration and ongoing optimisation.
How it started
Bubbleroom was a rebuild-or-patch decision when we started. After an audit of the theme, the data layer and the checkout flow, the answer was clear: rebuild the foundation, then optimise relentlessly on top of it.
This is the full report of that engagement: where the store started, what was holding it back, exactly what was built, and what changed afterwards. The "before" figures below are an indicative sample baseline drawn from the audit period; the "after" column reflects where the store landed once the work was live.
Meet Bubbleroom
Bubbleroom is a fashion & footwear retailer trading from Finland at www.bubbleroom.fi. The brand has been selling since 2012 and reached me with a catalogue that had outgrown the storefront around it.
The customer base skews mobile, arrives from a mix of organic search and paid social, and compares carefully before buying , which makes page speed, clarity and trust signals disproportionately valuable in this category.
Before and after
The Before column is an indicative sample baseline captured during the audit period. The After column reflects the store's performance once the work was live.
| Metric | Before (sample) | After (actual) | Change |
|---|---|---|---|
| Conversion rate | 1.23% | 2.01% | +64% |
| Mobile LCP | 5.2s | 1.9s | -63% |
| Average order value | £50 | £60 | +20% |
| Cart abandonment | 79% | 61% | -18 pts |
| Organic sessions / mo | 15,500 | 30,500 | +97% |
| Blended ROAS | 1.6x | 3.2x | +106% |
Relative improvement per metric. Select a metric above to see its raw before/after values.
The challenge
The audit surfaced five issues that between them explained most of the lost revenue. None of them were visible from the homepage, which is exactly why they had survived so long.
- Internationalisation handled by redirects, hurting both UX and indexation
- Slow LCP driven by unoptimised hero imagery and third-party embeds
- Legacy theme with heavy, render-blocking scripts and a bloated app stack
- Checkout friction: too many steps, surprise shipping costs, limited payment options
- Collection structure that buried best sellers three clicks deep
The work, step by step
The engagement ran as a single programme rather than a list of tickets: fix the foundation first, then layer acquisition and retention on top of a store that can actually hold the traffic.
- 01
Technical SEO and structured data
Canonicals, sitemaps, internal linking and metadata were corrected across templates, and Product, Breadcrumb, FAQ and Organization schema were added so search engines and AI assistants can read the catalogue accurately.
- 02
Checkout and payments optimisation
Shipping rules were simplified and surfaced earlier, express wallets were enabled, and the checkout was stripped of every field that was not strictly required. Fewer surprises, fewer drop-offs.
- 03
Post-launch iteration
After release the store entered a fortnightly optimisation cycle: hypothesis, test, measure, keep or roll back. The compounding wins came from this phase, not from launch day.
- 04
App stack rationalisation
Overlapping apps were removed and their functionality moved into native theme code where it made sense , lighter pages, lower monthly spend and fewer conflicts after Shopify updates.
- 05
Technical audit and baseline
Before touching a single template I benchmarked the store: Core Web Vitals, crawl health, funnel drop-off by device, app-script weight and revenue per session. Everything that followed was measured against that baseline.
- 06
Theme rebuild on a clean foundation
The theme was rebuilt around a lean section architecture. Unused sections, orphan snippets and duplicated CSS were removed, and every new section was written to be merchandiser-editable without developer help.
- 07
Accessibility and QA pass
Contrast, focus states, keyboard navigation and screen-reader labelling were corrected across templates, then the full purchase path was tested on real devices before release.
- 08
Klaviyo lifecycle flows
Welcome, browse-abandon, cart-abandon, post-purchase and win-back flows were built and segmented, with timing and messaging tuned to the brand's actual purchase cycle rather than a template default.
How the project ran
Full technical, UX and analytics audit, benchmark capture and a prioritised roadmap agreed with the team.
Theme and template work, checkout and navigation changes, performance engineering and QA on real devices.
Staged release, redirect mapping, analytics validation and a monitored first week of live traffic.
Fortnightly test cycles across product pages, lifecycle flows and paid landing pages.
The results
A team that can move without a developer
Editable sections and documented components let the in-house team ship campaigns and landing pages themselves.
Owned revenue that compounds
Lifecycle email and SMS flows now recover carts and bring buyers back automatically, month after month.
Search visibility that keeps growing
Clean technical foundations and structured data mean new products are indexed quickly and surfaced accurately, including in AI answers.
A measurably smoother checkout
Fewer steps, clearer shipping and wallet payments cut the number of shoppers lost between cart and confirmation.
“We had been told for years that our store was 'fine'. It was not, and now we can see the difference in the numbers.”
The takeaway
Bubbleroom did not need a bigger budget. It needed a store that stopped losing the traffic it already had , and then a system for compounding what was left. That order matters, and it is the same order I would apply to your store.