Webinar Recap: How an Outdoor Performance Brand Is Personalizing Its Online Shopping Experience
Bold Metrics' Vice President of Product Strategy & Partnerships, Jeff Mergy, recently had the pleasure to sit down with the Senior Global eCommerce Strategist at a leading outdoor performance brand to discuss how our AI sizing technology has helped the well-known snowboard and outdoor apparel company personalize their online shopping experience.
The Brand's Challenges: Customer Experience and Fit-Related Returns
After an introduction from Jeff, the strategist kicked off the discussion by explaining that the brand, like many retailers and brands, are always working to improve their customer shopping experience and customer confidence around purchasing their products.
"Everything related to fit is a huge factor in that purchasing decision," he added.
Besides improving customer experience, the brand also wanted to increase conversion and AOV, influence repeat purchases, and improve their overall return rates, which was especially important in their European market.
Evaluating Sizing Solutions
The company has been looking for a solution to their sizing challenges for a couple of years now, and have created internal solutions for their hard goods like snowboards, but still needed something that could be leveraged across their apparel categories.
He explained how Bold Metrics stood out from the other sizing solutions they evaluated.
Early Results from Using Bold Metrics' AI Sizing Solutions
The brand implemented Bold Metrics' Smart Size Chart in North America in November 2022, and then in Europe and Japan in January 2023.
"They are fully translated experiences, which is another great benefit of the solution," the strategist said.
He continued: "Early results are strong. Our data indicates that those who interact with the [Bold Metrics] tool are more inclined to be repeat shoppers. We are seeing double-digit percentage increases in those orders."
Jeff and the strategist also discussed the limitations of size charts, what an AI solution should — and shouldn't — collect around data, unexpected benefits, and more.
