WEBSITE OPTIMIZATION THROUGH
A/B TESTING
— Remington CX
the Challenge
Remington was looking for ways to gradually improve their website’s performance by converting visitors into buyers.
The client contacted us because they wanted to design a testing plan to provide actionable insights aimed at increasing performance on two specific pages of Remington’s website: the landing page for A1 visitors and the landing page for A2 visitors.
the Proposal
THE PROPOSAL
We created and launched landing page optimization tests in collaboration with Remington to implement goal tracking within the platform.
The process included shortening the main image and increasing the visibility of the product features matrix, which increased the number of clicks.
Additionally, removing the product features matrix from the page resulted in a higher number of clicks on the featured image but reduced the average revenue and conversion rate.
Finally, creating a product features module improved readability and value proposition, positively affecting conversions and increasing revenue.
THE IMPACT
These insights led to the redesign of the product features matrix. The new format made it easier for visitors to make choices by helping them better understand the differences between product offerings and ultimately leading them to select a higher-priced offering, increasing overall revenue.
We found an optimal balance between messaging, relevance, and usability that altered the product mix towards its final version. This resulted in an 18% increase in conversion rates compared to the previous quarter.
These insights led to the redesign of the product features matrix. The new format made it easier for visitors to make choices by helping them better understand the differences between product offerings and ultimately leading them to select a higher-priced offering, increasing overall revenue.
We found an optimal balance between messaging, relevance, and usability that altered the product mix towards its final version. This resulted in an 18% increase in conversion rates compared to the previous quarter.
