USA Containers Shopify CRO Case Study: Results After 3 Months

From Audit Data to a Prioritised CRO Roadmap

Our CRO audit showed that USA Containers did not have one isolated conversion problem. The biggest opportunities were concentrated around mobile product discovery, PDP decision support and collection-page navigation.

We turned those findings into a prioritised CRO roadmap, using PECTI to weigh commercial impact alongside evidence, confidence, time and implementation requirements.

That meant combining focused experiments with larger CRO implementation work. Some friction could be tested quickly. Other areas first needed a more maintainable Shopify foundation before meaningful optimisation could continue.

What The Data Revealed

Several findings shaped the first three months of work:

• PDPs were the highest-leverage entry point. 49% of sessions began on product pages, while Add to Cart Rate was only 1.98%.
• Important product information was being missed. Only 24.4% of visitors reached deeper PDP content.
• Search represented underused high intent. Just 0.76% of visitors searched, despite search users converting 50% above average.
• Collection pages were attracting traffic without converting it efficiently. They accounted for 23% of sessions but converted at 0.35%.
• The dominant mobile audience was underperforming. Mobile represented 76% of traffic, but its Conversion Rate was roughly half the desktop rate.

Together, these findings pointed towards a findability and decision-support problem rather than a checkout-only problem.

Rebuilding the PDP as a Native Shopify CRO Foundation

PageFly had played an important role in helping USA Containers build and manage product pages without requiring constant development support. For ecommerce teams that need to move quickly, page builders can be a practical way to create and iterate on storefront content without a deep technical skill set.

But as the CRO programme matured, that same flexibility had created a different constraint. USA Containers had multiple PageFly PDP templates, with individual products effectively operating through separate page structures. That made controlled A/B testing across PDPs extremely difficult: there was no single, consistent template on which we could confidently introduce a variant and measure its effect across the product catalogue.

That mattered because PDPs were where almost half of ecommerce sessions began, making them one of the highest-leverage areas for ongoing optimisation.

Before we could build a reliable PDP testing programme, we therefore needed to consolidate the experience.

We rebuilt the product-page framework as one unified native Shopify template and rolled it out across active products on 1 July. The aim was not simply to replace PageFly. It was to create a consistent CRO foundation that could support repeatable experimentation, clearer merchandising and easier management as the programme developed.

The new template introduced clearer buying and decision-support components, including:

• a sticky Add to Cart action;
• structured product-information accordions;
• featured testimonial content;
• product-specific FAQ functionality;
• Buy More, Save More and multipack controls;
• clearer value propositions;
• improved product cards; and
• product-level data and stock/dispatch messaging.

There was no isolated uplift assigned to the migration itself. Its importance was structural: consolidating the PDP experience gave us a consistent Shopify environment on which future A/B tests could be designed, deployed and evaluated more reliably.

For USA Containers, establishing that foundation was a necessary part of moving from one-off page changes towards a repeatable CRO programme.

Making High-Intent Mobile Search Easier to Find

The audit identified an unusually clear opportunity around search.

Only 0.76% of visitors used it, yet visitors who searched converted 50% above the site average. On mobile, however, search was hidden behind an icon.

Our hypothesis was simple: if search behaviour indicated higher purchase intent, reducing the effort required to access it should help more mobile visitors find relevant products quickly.

The variant replaced the search icon with a visible search field while reducing the height of the surrounding header to protect above-the-fold space.

Test results:

• +13% Conversion Rate
• +12% Revenue per Visitor
• +1% Add to Cart Rate
• +2% View Collection Page Rate

The test reached 80% statistical significance after two weeks. While below a conventional 95% threshold, the result was considered strong enough to support rollout with continued monitoring, and the exposed search experience was made permanent.

The learning was useful beyond the individual uplift. USA Containers did not need a more complex search experience first. It needed to make an existing high-intent route easier to access.

Rebuilding Collection Pages Around Product Discovery

Collection pages presented a different version of the same underlying problem.

They accounted for 23% of sessions but had the weakest assessed landing-page Conversion Rate at 0.35%. On mobile, some users were also dropping before reaching the first row of products.

Alongside testing individual discovery ideas, we replaced the PageFly-controlled collection experience with a native Shopify template.

The new foundation introduced stronger browsing controls including a mobile grid/list option, sticky filtering and sorting, promotional content blocks and collection-specific supporting content.

As with the PDP migration, this was foundation work rather than an isolated conversion claim. The aim was to make a high-traffic entry point easier to navigate while creating a more maintainable base for continued experimentation.

Helping Collection Visitors Choose a Direction Faster

One of the clearest tests within that collection strategy focused on visitors landing directly onto collection pages.

The original experience did not immediately help those visitors narrow a specialised product range into relevant subcategories. Our hypothesis was that showing those choices earlier would reduce unnecessary browsing and help visitors progress with clearer intent.

We tested manageable subcategory pills above the product area, keeping the options focused on relevant accessories rather than adding more competing navigation choices.

For sessions that landed directly on collection pages, the variant delivered:

• +51% Conversion Rate
• +79% Revenue per Visitor
• +45% Add to Cart Rate
• +19% Average Order Value
• +46% Checkout Begin Rate

The result was broader than an increase in clicks. Helping customers narrow the range earlier improved performance at several downstream stages of the buying journey. The winning experience was rolled out in July.

Learning That More Visual Navigation Wasn't Better Navigation

Not every hypothesis became a permanent feature, and that was equally important.

We also tested a more visual mobile category menu using imagery, icons and value propositions. The idea was to expose more of the product range and make category selection clearer.

Instead, the variant reduced Conversion Rate by 13%, Revenue per Visitor by 38% and Average Order Value by 29%, despite Add to Cart Rate increasing by 2%.

That combination was instructive. More engagement did not translate into better commercial behaviour. For this audience, adding visual content appeared to reduce the compact scanability needed by shoppers looking for specific accessories.

The variant was rejected rather than implemented.

This is an important part of our A/B testing approach: testing is not about validating every recommendation. It is about finding out which changes genuinely improve customer and commercial behaviour before they become permanent.