BAM Chocolate - Checkout redesign

Checkout re-design for an e-commerce brand.
I worked on BAM’s online store. BAM Chocolate is a brand of premium chocolate, originating from Slovenia. They are known for their high-quality ingredients and a wide variety of chocolate products.


The goal was to re-design their checkout to raise their conversion rates, lower drop offs, optimise for a bigger AOV (average order value) and optimise the post checkout experience.
RESEARCH

Research phase

User research

To start off, I gathered some information about the users of the store. I decided it was best to get demographic data of their customers because shopping habits are usually influenced by age, nationality & gender.

Audit of the current checkout

The next step in my research was to take a look at their current checkout flow and identify areas that might need improvement and influence their rates negatively. I added 28 comments and presented my findings with BAM’s team.
DESIGN EXPLORATION

Design exploration

Finding best practices

When optimising checkout flows it is incredibly important to follow the Jakob’s law and follow the patterns that customers expect to work. I did this by looking at some of the most used stores by the demographic of the BAM’s customers, comparing them and writing out the best practices.

Low-fidelity wireframing

With my findings it was time to start designing. I started my designs for a mobile interface, since the majority of the customers used mobile devices to use their store. I decided to experiment with 2 flows, a one-step-checkout and a multi-step-checkout. I prepared wireframes for both flows, added annotations and presented them with the stakeholders.

After our discussion we decided to use a one-step-checkout since that option seemed to perform better for e-commerce brands, rather than a multi-step-checkout (form) which performs better on software products, primarily as a form.
IMPACT

Key success

Decreased drop-off rate & increased AOV

The drop off rate went from 60%, down to 34%, moving from average to below average. The AOV (average order value) increased by 26%.
IMPACT AND LEARNINGS

Key success

Decreased drop-off rate & increased AOV

The drop off rate went from 60%, down to 34%, moving from average to below average. The AOV (average order value) increased by 26%.

Large impact

Impacting one of the biggest companies in the region

It's an incredible privilege to know that my concepts will be used by so many people and have an impact on such a big platform.