Goose Creek Candle came to us with the goal of implementing a consistent CRO & A/B testing strategy to increase the revenue generated from both new & returning customers.
The majority of our focus so far has gone into 3 key areas:
This approach has given us a strong evergreen foundation to continue building from.
The experiment involved introducing a "Sort By Smell" feature on the All Candles page, aimed at enhancing the shopping experience by allowing users to filter products by scent. The test proved successful, particularly among new mobile users, leading to plans for rolling out this feature exclusively to this audience.
This experiment demonstrates the effectiveness of introducing personalized sorting options, particularly in a mobile shopping environment. The "Sort By Smell" feature not only increased revenue per visitor and overall revenue but also provided valuable insights into the preferences of mobile users. For e-commerce brands, implementing similar personalized features that enhance the mobile shopping experience could lead to significant gains in customer satisfaction and sales.
The experiment tested the impact of auto-expanding the "This Fragrance" section on the product page to reduce user friction and improve access to information. The results were highly positive, showing a significant increase in Conversion Rate (CVR) and Revenue Per Visitor (RPV), with a 99% confidence level. This suggests that making information more accessible and easier to find is beneficial for users.
Auto-expanding the "This Fragrance" section on the product page proved to be a highly effective strategy for boosting conversion rates and revenue per visitor. This experiment demonstrates the value of reducing user friction and making product information easily accessible. For e-commerce brands, implementing similar strategies to enhance information visibility can lead to substantial improvements in user engagement, confidence, and overall sales.
The test involved adding a "Best Sellers" section to the main menu on both mobile and desktop devices to determine its impact on user behavior. The results were significantly positive, leading to increases in key performance metrics such as Conversion Rate (CVR), Revenue Per Visitor (RPV), and Average Products Per Visitor (APPV). The test achieved a 90% confidence level.
Adding a "Best Sellers" section to the main menu proved to be a highly effective strategy for increasing conversion rates, revenue per visitor, and overall revenue. This experiment demonstrates the value of guiding users toward popular products and