Case Study
Cycle Gear Optimizes Product Detail Pages
Cycle Gear is the largest and fastest-growing retailer of motorcycle parts and apparel in America. Cycle Gear is proud to be a part of the Comoto Family of Brands, which also includes RevZilla, J&P Cycles, REVER, and Common Tread. Comoto is America’s largest and fastest-growing omnichannel platform in the powersports aftermarket-products industry; dedicated to advancing the experience of moto enthusiasts across the globe.
They have a huge inventory and over 5 million visitors a month, so digital optimization is at the forefront of their ecommerce strategy. They’ve been optimizing with SiteSpect since early 2019, and have a technical team that integrates both client-side and server-side testing into their roadmap.
The Experiment
This test focused on Comoto’s site Cyclegear.com. A lot of their organic traffic lands on product detail pages — usually as a result of specific product searches. However, users who come to these pages are often still high in the funnel. They’re just starting their shopping journey, and are still researching and browsing, not necessarily ready to buy. The team observed that a lot of new visitors would land on a product detail page and then bounce off of the website. The team hypothesized this was because shoppers early in their journey wanted to compare products, and were more inclined to return to their search than to stay and compare on-site — even though they have one of the largest inventories. This experiment focused on creating a product detail page tailored to shoppers higher in the funnel.
In this test, Cycle Gear introduced a new element to their product detail pages. Above the main image, they included a product tray featuring other products in the same category. They included this for all new users to the site, with the goal to encourage engagement and keep visitors searching within the site rather than returning to search engine.
Results
This variation saw a 6.21% lift in conversions, as well as a .99% increase in revenue, and .31% decrease in bounce rate.