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Can Elmas

Ecommerce · Fashion · Premium fashion brand (name confidential)

Premium Fashion Brand: Rebuilding Shopify Around Conversion

The brief: Turn more of the store's traffic into orders, especially on mobile, and connect paid acquisition to real ecommerce outcomes so media spend could grow efficiently.

Conversion rate (1.8% → 2.5%)
+39%
Mobile checkout completion
+24%
Blended ROAS (from 2.4x)
3.3x
Mobile LCP (from 4.1s)
2.3s

The starting point

A premium fashion brand on Shopify needed its store to turn more visits into orders. Conversion rate sat at 1.8%. On mobile, the store was slow, with a Largest Contentful Paint (LCP) of 4.1s. Paid media was running at a blended ROAS of 2.4x, and acquisition activity was not connected to ecommerce outcomes.

For a premium brand, that combination is expensive. Every point of friction on a product page or in checkout wastes traffic that has already been paid for, and a slow mobile experience works against the sense of quality the product is supposed to carry. Without measurement that links campaigns to results, it is also hard to tell which campaigns deserve more budget.

The job was not a cosmetic redesign. It was to rebuild the store around conversion, make mobile faster and easier to buy on, and make paid acquisition accountable to ecommerce results.

What I did

Connecting acquisition to ecommerce outcomes

On a project like this, I treat measurement as the foundation, because every other decision depends on it. Here that meant a new GA4 and Google Tag Manager (GTM) implementation that connected acquisition activity with ecommerce outcomes.

The way I approach this is to define the ecommerce events that matter across the funnel, from product views and add to cart through checkout and purchase, and to make sure campaign traffic is tagged consistently so it can be read against those events. The goal is simple: when a campaign, a landing page or a site change moves the numbers, you can see it in one place instead of arguing over conflicting reports.

Rebuilding the shopping and product journeys

The core of the work was rebuilding the key shopping and product journeys. In fashion, that usually means looking hard at how shoppers move from browsing a category to choosing a product to committing in the cart, and removing whatever makes them hesitate or give up along the way.

Product pages need to answer the questions a premium buyer has before they spend: what it looks like, how it fits, what it is made of, and what happens after they order.

Mobile checkout deserves its own scrutiny. On a small screen, every unclear step costs orders, which is why I track checkout completion on mobile separately instead of letting it disappear into a sitewide average. Mobile checkout completion improved 24%.

Making mobile fast

A slow store undoes good design, and mobile is where speed problems hurt most.

On Shopify, the usual culprits are oversized images, scripts and third-party code loading on every page whether they are needed or not, and above-the-fold content that waits on everything else before it renders. I work through issues like these in order of impact. The performance improvements reduced mobile LCP from 4.1s to 2.3s, so the main content of a page appears much sooner.

Landing pages built for paid social

The other half of the conversion problem sits before the store: the handoff from the ad. I introduced paid social landing pages for major product categories and campaigns.

Sending paid social traffic to a homepage or a generic collection breaks the promise the ad just made. A dedicated landing page keeps the message, the product and the offer consistent from the ad to the page, which gives that traffic a better chance to convert. With the new tracking connecting acquisition activity to ecommerce outcomes, each page and campaign can be judged on ecommerce results, not just clicks.

Results

MetricBeforeAfter
Conversion rate1.8%2.5%
Blended ROAS2.4x3.3x
Mobile LCP4.1s2.3s
  • Mobile checkout completion improved 24%.
  • Paid social landing pages introduced for major product categories and campaigns.
  • New GA4 and GTM implementation connected acquisition activity with ecommerce outcomes.
  • The ROAS improvement came while monthly media spend increased.

What made the difference

Measurement as the foundation. Because the new GA4 and GTM setup connected acquisition activity with ecommerce outcomes, changes to the store and to campaigns could be judged on ecommerce results instead of opinion.

Treating the store as one system. Conversion, site speed, checkout, tracking and paid acquisition are often handled as separate projects. This work covered all of them, and that matters because they depend on each other: faster pages give better journeys a fairer chance to convert, and journeys that convert better make every paid click worth more.

Efficiency that held up under more spend. Brands often improve ROAS by cutting budget. Here, blended ROAS went from 2.4x to 3.3x while monthly media spend increased. The improvement did not come from spending less, which is the kind of efficiency gain that is worth building on.

This is what I mean when I say I do not advise growth. I build it. If your Shopify store gets traffic but not enough orders, see how I approach conversion rate optimization.

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