Optimising the shopping experience for size?

How combining REO's UX research, analytics and experimentation expertise paved the way for size? to maximise the return from their existing traffic.

We are very pleased with the results of REO’s experimentation programme. Their cohesive approach to data analysis and user testing has resulted in improved metrics for vital business KPIs.

size?
Uplift in transactions
+ 0 %
Return on
Investment
0 :1
Uplift in alternative
payment methods
+ 0 %

Our contributions

Tech partners

Challenges

“to make the most of current website traffic, and improve the overall shopping experience through experimentation” 
Recognising the untapped potential within their existing visitor base, the team at size? wanted to take a data-first strategy to pinpoint the most effective way to maximise the opportunity. To achieve this, size? looked for a partner equipped with expertise in data analysis and user experience (UX) to collaboratively develop an experimentation roadmap alongside the internal Size? team.

The two core objectives:

  • Demonstrate the power of data-driven experimentation, highlighting how it can convert casual browsers into paying customers and positively influence revenue.
  • Forge a strong partnership with the internal team to amplify the effectiveness of their existing experimentation.

The REO approach

“The research phase identified key opportunities to enhance the user experience (UX) at the checkout stage.”

The collaboration kicked off with an in-depth data analysis to gain insights into user behaviour, traffic sources, and the shopping journey from browsing to buying, pinpointing where users were dropping off.
Following this, user testing sessions in our UX labs provided a closer look at real user interactions, identifying challenges and obstacles to making a purchase. Based on these insights, we crafted a series of test ideas focused on:

  • Streamlining the search and product discovery process.
  • Enhancing understanding of product offerings.
  • Making the purchasing process more user-friendly.

To maximise impact and efficiency, we divided the site into three key areas for simultaneous experimentation:

  • Promo Code Visibility.
  • Checkout Call to Action (CTA).
  • Listing Page Optimisation.


This division allowed us to prioritise and categorise hypotheses according to size’s goals and objectives, using our prioritisation framework that evaluates:

  • Potential impact.
  • Underpinning research.
  • Confidence level.
  • Required effort.

Deliverables

Checkout CTA

As we continued to analyse the basket page on mobile, we observed that key information, such as pricing and payment methods, were being pushed down the page due to a duplicate checkout button. We wanted to ensure that this information was brought into view, while always keeping the checkout visible for customers.

We tested removing the duplicate button and making the remaining one sticky – so that it remained on the screen as users scrolled down. Not only did this test result in increased transactions, but we also saw a significant uplift in users checking out with alternative payment methods such as PayPal and Apple Pay.

Before
After
Promo Code Visibility 

One of our key goals was to reduce the number of shoppers abandoning their baskets before making a purchase. 61% of visitors were dropping off at this stage on mobile, so we conducted user testing to find out why this was happening. We discovered that users were not aware of the promo code which was available on the basket page, as it was hidden and they would have had to click or tap to view it.

Users were expecting to find the promo code just below the payment methods, so when they couldn’t see one they presumed it didn’t exist and they were less inclined to check out.

Before
After

The outcome

“9% increase in transactions & 16x Return on Investment ”

In just a few months, we identified and eliminated several friction points on the size? website that were previously unnoticed, and highlighted the importance of ongoing experimentation to maximise the return from their web traffic. This has been instrumental in enhancing sales for size?

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