Concrete actions for higher conversion rates

A Perfect Jane

  • Customer case
  • Customer Experience
  • Data projects
A Perfect Jane
a perfect jane
Ezra Soerioroseno
Ezra Soerioroseno
Customer Experience consultant
3 min
19 Jul 2024

A Perfect Jane is a webshop focused on vegan boots made from apple leather, recognisable by their green sole in the shape of a leaf. The webshop noticed a lot of traffic from marketing activities but felt that these visitors were of low quality, resulting in a low conversion rate. They also perceived a low conversion rate from regular traffic. Additionally, the webshop aimed to reduce the number of returns and increase the average order value. A Perfect Jane enlisted the help of our Customer Experience Analysts for advice.

*During this project, Ezra worked with Sebastiaan van Buitenen, Customer Experience Specialist at Digital Power.

Approach

KPI-Driver Tree

To gain insight into the key performance indicators, we created a KPI-driver tree. This helped us identify the factors influencing the website's revenue. By using data available in Shopify, the tool on which the website is built and which provides operational data, we could obtain detailed insights.

KPI-Driver Tree

Return rate, order value, and conversion rate

We compared A Perfect Jane's conversion rate, order value, and return rate with averages in the fashion industry. Our findings were:

  • The return rate was lower than average. Return rates are typically the highest in the online fashion industry.
  • The average order value was nearly equal to the industry average.
  • The conversion rate was significantly lower.

We concluded that the focus needed to be on improving the conversion rate.

Drop-off analysis

We examined the sales funnel, consisting of three steps: adding items to the cart, checkout, and actual conversion. The highest drop-off occurred at the first step (only a small portion of sessions led to adding items to the cart). To add an item to the cart, customers usually go through three steps: starting on the filter page, then moving to the product detail page, and from there adding a product to the cart. The biggest drop-off was between the product detail page and the cart, making this the critical area to address.

Drop-off analysis

Problem analysis and definition

Based on the drop-off rates, we defined three problem areas:

  • Increasing conversion throughout the entire sales funnel
  • Increasing the add-to-cart rate at the start of the funnel
  • Increasing the add-to-cart rate from the product detail page
Problem definition

Improvement proposals

Using a combination of customer insights, expertise, and psychological theories, we developed targeted improvement proposals. We categorised our improvements based on how they could influence the customer, such as directing attention, building trust, helping with choices, lowering price perception, and persuading visitors. These proposals were prioritised using the RICE model (Reach, Impact, Confidence, Effort).

Results

Our three main recommendations were:

  • Organised category menu: Make the product category menu clear and immediately visible. This enhances product findability. Secondary information like blogs, the contact page, and "about us" received less prominence.
  • Unique Selling Points (USPs) on product detail page: Display USPs on the product detail page. Although they were shown at the top of the website, they were not visible while scrolling. Adding them to the product detail page keeps customers aware of the benefits. It is important to place them near the 'add to cart' button, as this is when the customer is most considering a purchase.
  • Communicating scarcity: Inform customers about low stock for limited editions. This is a proven persuasion principle and can accelerate the purchase decision.

A Perfect Jane now has clarity on what can be optimised on the website to increase conversion rates. In fact, they have already implemented most of our optimisation recommendations. Given the low traffic, there is no opportunity to experiment in this situation, however, we will monitor changes in behaviour.

Want to know more?

Zev will be happy to talk to you about what we can do for you and your organisation as a data partner.

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