AuraSun came with a simple brief: make the store look like the brand the company has become. And make it sell better, if you can.
Client
Services
Date
Live site
Conversion
Mobile conversion
The premise
Make the store look like the brand the company has become. And make it sell better, if you can.
[01]
Industry
Scope
Platform
Duration
Role
Stage
The brand was already on the shelves of premium chains, with customers coming back for another bottle several times a year. The store had stayed a few years behind. Slow, broken on mobile, missing the basic selling mechanics, and going quiet at exactly the moment of payment.
[02]
A Polish self-tanning brand, stocked by Douglas, Hebe and Super-Pharm. A product that runs out, so customers come back several times a year. New packaging, better photography, an award on the wall.
The brand looked premium on a shop shelf and several years out of date on a phone. 94% of purchases came from mobile.
[03]
Six things were costing sales every day. Some were about how the site looked, some about what simply wasn't there.
[01]
With 94% of traffic on mobile, that isn't a comfort problem, it's lost orders.
[02]
Wrong sizes, wrong spacing, elements that didn't appear at all. A brand that looks premium on a shelf looked like something else on a phone.
[03]
She arrived from Instagram ready to buy a self-tanner, and the page offered her the store, professional training and a local salon at the same time. Most of the content was written for Google, not for her.

[04]
Almost half of all add-to-carts came straight from the product listing, skipping the product page. The listing tiles showed no ratings, no reviews and no scent. The listing was asking loyal customers to buy on faith.

[05]
No cross-sell, no upsell, no free shipping threshold. Three mechanics that are standard in e-commerce today, and each of them works on order value.
[06]
Over 30% of reviews mentioned the scent unprompted, more often than results and more often than price. It appeared nowhere above the fold.

[04]
Week 1
GA4 analysis with e-commerce events: where people drop off and which screens they buy from. Alongside it, a matrix of Google reviews, the brand's own and those of competitors, both the best and the worst. I was looking for what customers complain about, what worries them and what they praise, so I'd know what to put front and centre.
Week 2–3
The homepage cut by roughly 60% and reduced to two choices in the header: “Shop the products” and “Become a spray tan specialist”. The listing tiles rebuilt to carry the rating, the review count and the scent, meaning proof exactly where the decision was already being made.
Week 4–5
The product page leads with scent as the main benefit and answers the three worries that hold a purchase back: orange tone, staining clothes and an unpleasant smell. A “finish your routine” cross-sell sits below the button. In the cart, delivery options and the free shipping threshold moved ahead of the address step, plus a drawer with a progress bar.
In parallel
Halfway through the project it turned out the template couldn't support the cart drawer or moving the delivery options without changes to the code, which was out of scope. What shipped was the free shipping threshold plus the delivery and payment icons on the full cart page. It's the one thing I'd do differently: agree with the developer in week one what the template actually supports, before anything gets drawn.
[05]
[01]
Conversion 2.47% → 4.59%, up 86%. For every 100 visitors, almost twice as many people bought.
[02]
2.30% → 4.47%, up 94%. Where it was worst, the improvement is largest.
[03]
36% → around 75%. The cart was only partly touched, so I don't claim that number as a result of the design. The most likely explanation is speed: fewer people gave up along the way.
[06]
The store stopped going quiet at the moment of decision. It started selling while the owner was asleep, and it finally looks like the brand she spent years building.
Screens






In the client's words

“My old store was slow, kept breaking, and no longer fit a brand that had changed a lot over the years. Igor started with the data, found where I was losing customers, and fixed it. He never overpromised. 60 days after launch, conversion was up 86%, and checkout completion went from 36% to nearly 75%.”
Aleksandra KuźniaFounder of AuraSunNext step