When using Amazon's Manage Your Experiments (A/B testing), what is the greatest risk associated with changing too many variables at once in your product listings on Amazon.co.jp?

The greatest risk associated with changing too many variables at once in product listings when using Amazon's Manage Your Experiments (A/B testing) on Amazon.co.jp is the inability to isolate which specific change caused the observed impact on performance metrics like conversion rate or sales. When multiple elements are altered simultaneously (e.g., title, image, bullet points), it becomes impossible to determine which change was responsible for any positive or negative results. This lack of clarity prevents sellers from gaining actionable insights and making informed decisions about which changes to implement permanently. For example, if a seller changes both the product title and the main image in an A/B test and sees a significant increase in conversion rate, they won't know whether the improved title or the new image was the driving factor. This makes it difficult to replicate successful changes across other product listings or to optimize future experiments. A/B testing is designed to test one variable and isolating the impact of each possible change allows you to use data to make better decisions. Testing too many variables at once removes this benefit.