This Seller Sessions podcast episode is a panel discussion focused on A/B testing main images for a teeth-whitening product on Amazon. The hosts and guests, including a brand manager and a main image designer, discuss qualitative and quantitative testing methods, showing the iterative process of improving click-through rates. They analyze user feedback from video tests and Amazon search simulations, revealing that clear images showcasing results and emphasizing safety and dentist approval significantly increased click-through rates. The designer demonstrates his process using Figma, highlighting the "atomic design" approach of making small, iterative changes and testing frequently. Listeners gain actionable insights into A/B testing strategies and the importance of data-driven design for e-commerce product listings, with a sample size of 100 participants recommended for each test.
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Behind the Scenes of Live Image Optimization | Seller Sessions Amazon FBA and Private Label | Podwise
