In the world of Amazon, the main image is more critical than ever. In a recent project, we decided to split test two options to determine which image would be most optimal for our client’s Amazon product listing. To achieve this, we conducted a poll asking 50 US citizens which image they would be more likely to click on and buy. The results were clear, with an overwhelming 86% of respondents choosing the new image option B over the old option.
As a result of our efforts, we noticed a 57% increase in sales revenue with a 40% decrease in ad costs (see sales figure below). This outcome demonstrates the value of conducting split tests and the importance of using data-driven decision-making in Amazon to drive sales and lower ad costs. By leveraging our expertise and utilizing a data-driven approach, we were able to identify the best-performing image, driving increased sales and a more efficient ad spend. This success highlights the importance of continuous optimization and the value of expert consultation in the ever-changing landscape of Amazon advertising.
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