eBike manufacturer Serial 1 had lots of gorgeous product and lifestyle imagery at their disposal, but they didn’t know what specific shots would resonate with their customers. They also had limited time to wait for results from a traditional A/B testing approach.
To accelerate their decision-making process, they implemented Vizit, a visual intelligence platform that uses AI and machine learning to identify the components of visual content and quantify its effectiveness. The platform’s AI-driven technology helped Serial 1 determine what images resonated most with consumers.
Serial 1, a standalone company that was initially launched from within Harley-Davidson, manufactures premium eBicycles. The bikes have been in development for years and were recently made available to consumers in the spring of 2021. Serial 1 wanted to quickly understand what visual content resonated with consumers, particularly in the current post-pandemic environment.
“As we began marketing our eBikes, we weren’t sure which specific shots would appeal most to our customers and potential customers,” said Rex Hamilton, Serial 1’s VP of Finance and Corporate Operations. “Do they like to see the eBikes in action? Do they like to see close-ups of the sleek design that shows off our integrated internal wiring, for example? Or would they rather see wide-angle shots of the entire eBike on display? Vizit offered us a way to use technology to figure this out rather than simply guessing or testing.”
Testing images at scale
Serial 1 knew that manual A/B testing would potentially take weeks to finalize versus using an AI-based solution like Vizit. The platform uses AI algorithms to assess and prioritize visual content by analyzing attributes such as surrounding scenery and environment, the presence of human models, and positioning of the product within the image. Selecting and onboarding the tool was a fast process.