Ridestore uses direct customer feedback to refine seasonal collections for its in-house brands. The retailer joined forces with its customer base to co-create the fastest growing snow brand in Europe - Dope Snow.

Ridestore started as an up-and-coming outdoor retailer in a saturated international market. After building brand recognition and reaching a wider audience, Ridestore had two main objectives: eradicate sizing uncertainty and deepen brand trust. On the company side, size charts couldn’t keep up with evolving in-house product. On the customer side, differing regional fit expectations meant Ridestore needed a responsive sizing solution available in all local languages. The retailer wanted to respond to client requests in real time and provide the best online shopping experience possible.

In response to direct customer feedback, Ridestore engaged Fit Analytics to address issues around fit and sizing. After a short onboarding, Fit Finder’s seamless integration process allowed Ridestore to quickly implement the solution with no negative impact on their internal IT resources. Through an A/B test, Ridestore and Fit Analytics measured the overall business impact of Fit Finder on the site. During the test period, site traffic was divided into two funnels: one group with Fit Finder enabled, and a second group who saw a generic “size help” button leading to a static size chart.

Two months of A/B testing on ridestore.com showed positive impact results in multiple key areas. Shoppers who used Fit Finder showed a 4% higher conversion rate and a 7% lower return rate than customers who used a static size chart. Increased user confidence led to a 4% increase in average order value and an impressive 9% increase in value per visitor when comparing the two groups.