Marina Ruiz Available · Los Angeles

Kejsar · Shopify · UX and revenue audit · 2026

Auditing a growing brand for the money it was leaving on the floor

Nothing here was failing. The brief was to find where a healthy business was being less efficient than it could be, and to say so in numbers that would survive being checked.

Role

Sole designer and analyst

Stack

Shopify, GA4, Hotjar, Figma

Scope

Analytics audit, channel analysis, PDP recommendations, prioritised roadmap

Status

Delivered, implementation scheduled Q3 2026

Kejsar is a Stockholm jewelry brand growing on almost every channel: organic search orders up 41%, Instagram up 167%, Facebook up 82%. I was not brought in to fix a decline. I audited the storefront and the analytics to find where a healthy business was leaving money on the floor, and delivered six changes sized at $285K to $570K a year, roughly 21 to 43% growth.

The largest single finding had nothing to do with the homepage. A small cluster of chains was being returned at 30 to 54% against an industry benchmark of 8 to 15%, because buyers could not tell what would fit.

Line 01

Fix the instrument before reading it

The theme's checkout events were not firing correctly, so parts of the funnel were reporting against incomplete data. I went into the theme and repaired the tracking before drawing a single conclusion from it. That is unglamorous work and it came first, because a recommendation measured on a broken funnel cannot be defended later.

Everything downstream inherited that correction, and every estimate in the report was delivered as a labelled range rather than a single confident number.

What it cost

The first deliverable was not a design. It was a corrected dataset, which meant the engagement's first visible output was a spreadsheet and a fix, not a mockup.

Line 02

The growth was real, so I looked for the leaks instead

Most audits are called in when something is failing. This one was not. Direct orders up 23%, search up 41%, Instagram up 167%. The honest framing in the report's opening note: this is not a diagnosis of what is wrong, it is a look at where a business this healthy is being less efficient than it could be.

That reframing set the whole method. Instead of proposing a redesign, I ranked six changes by effort against return, and told the client plainly which ones took fifteen minutes and which took a quarter.

Returned

A diagnosis of what is wrong

The shape an audit takes when it is called in after a decline.

Exchanged for

Six changes ranked by effort against return

Named plainly as fifteen minutes of work, or a quarter of it.

DiagnosisEfficiency

Line 03

The leak was a landing page decision, not a design problem

Paid TikTok traffic grew 127% year over year while orders from it grew 12%.

The cause: 2026 campaigns were pointed at two collection pages converting at 0.007 to 0.02%. In 2024 the same spend landed on the homepage and top product pages, converting 10 to 25 times better.

The fix was a redirect. Fifteen minutes of work, sized at $19K to $38K a year recovered, with a purpose-built TikTok landing page as the second phase.

Returned

Campaigns that looked fine in Ads Manager

Every in-platform metric healthy, which is why the gap went unnoticed.

Exchanged for

Spend landing on the wrong two pages

Visible only by crossing Shopify orders against GA4 landing pages.

In platformAcross platforms

What it cost

The highest-return item in a UX audit turned out not to be a UX change. Saying that plainly meant leading the report with a link edit rather than with design work.

Conversion rate by channel · corrected GA4 baseline

Email 1.26%
Direct 0.92%
Organic search 0.85%
Paid TikTok 0.08%
Social collection pages 0.007-0.02%

Bars are drawn to a single scale, so the last two are the finding rather than a rendering artifact. Email, the tallest bar here, is 0.1% of all sessions.

Where the spend was landing, against where it converts.

Line 04

The biggest finding was returns

The strongest number in the audit had nothing to do with acquisition. The top ten chains and bracelets were being returned at 30 to 54%, against a fine jewelry benchmark of 8 to 15%. Total returns ran $320K, 24% of gross.

The cause was diagnostic, not aesthetic: no size guide on chain and bracelet product pages, and no photography showing the same piece on different wrist and neck sizes. Buyers were guessing, and a third to a half of them guessed wrong.

Recommended: size guides with wrist and neck circumference on every chain and bracelet page, "how this fits" comparison photography, and a product-specific FAQ on the ten worst offenders. Halving the return rate on those ten products is $76K to $114K recovered.

Return rate · one shared scale, 0 to 60%

Fine jewelry benchmark 8-15%
Kejsar, all products 10.8%
Kejsar, top ten by volume 30-54%

The catalogue average sits inside the benchmark, which is why this never surfaced as a problem. The concentration is what makes it one.

A store-wide average of 10.8% hides ten products returning at up to 54%.

Line 05

Mobile was carrying the traffic and losing the sale

96% of Swedish traffic is mobile, and Swedish desktop converts at roughly twice the rate of Swedish mobile on the same products and the same checkout.

The gap was upstream: add to cart at 5.1% mobile against 9.2% desktop, checkout start at 2.6% against 5.6%. So the friction lives in the product page and the cart handoff, not in the payment step.

The PDP recommendations followed from watching that behaviour: users were scrolling up and down repeatedly to reconcile a variant selection with the image above it. Reduce and standardise image height so more decision-critical content sits above the fold, add click-to-expand to compensate, sticky add to cart on mobile, touch-optimised variant selection, remove the redundant mobile back button. And test Swish, Sweden's default mobile payment, at exactly the step where the device gap is widest.

Returned

“Mobile checkout is the problem”

Checkout completion ran 26 to 35% on both devices. It was not the step.

Exchanged for

Add to cart, 5.1% against 9.2%

The gap opens on the product page, well before payment.

Payment stepProduct page

What it cost

Squaring and shrinking the hero image is a real aesthetic sacrifice on a brand that sells on photography. I recommended it anyway, because the recordings showed the image size was costing them the variant decision.

Line 06

The differentiator was invisible

Kejsar's custom work is the reason artists wear the brand. It sat on a single page unreachable from the homepage, the main navigation, or any product page. Anyone who did not already know to look for it never found it.

Recommended: custom enters the primary nav, a homepage section with portfolio pieces, an updated client roster, and a custom block on every product page. I wrote that block in Swedish, in the brand's voice, ready to paste rather than to brief.

Line 07

Email was the best channel and the smallest one

Email converted at 1.26%, 27% better than search, 37% better than direct, and roughly 8 times better than social. It was 0.1% of total traffic.

Black Friday data made the case sharper: email converted at 6.41% during the promotional window, five times its annual rate. The recommendation was a full Klaviyo flow build, sized at $71K to $124K depending on how far the list scales.

That seasonal read also drove the sequencing. A 30% lift in May is worth 30% of May. The same lift in November is worth two to three times that. So the roadmap was ordered to land before Q4, not simply by size of prize.

Honest edges

What this page is not claiming

Every figure in the report was delivered as a range with its confidence stated, and the stacked total was discounted for overlap between initiatives rather than summed. The projection is 21 to 43% growth, not a single number, because a single number would have been more persuasive and less true.

The engagement was priced and reported in Swedish kronor. Figures are converted here at 10.5 SEK to the dollar and rounded to the nearest thousand. The ranges are the report's; the rounding is mine.

Projection, not a result

21 to 43% revenue growth sized across six changes

Sized from the roadmap and discounted for overlap between initiatives. Implementation is scheduled for Q3 2026, as the client's team frees up.