Wuhan Star Sets Sail – Sales Cheats! Amazon's powerful tool can upload two versions of listings at the same time
Amazon provides brand sellers with an experimental comparison tool that can effectively improve seller conversion rates. The tool, called Manage Experiments, allows brand sellers to create two different versions of product descriptions at the same time. During the whole experiment, the platform system will randomly push these two versions for consumers to browse, and then collect the data of the number of products, conversion rate, number of pieces sold, sales and other data of each independent visitor of the two versions. 4-10 weeks is an optional experiment duration for the management experiment tool. After the experiment, the seller can check which version of the data performs better, obtain an intuitive and clear judgment, and choose a listing that is more suitable for consumers.
With the help of management experiment tools to find the exact reasons for poor results and verify related conjectures, brand sellers can optimize product listings in a targeted manner, attract buyers and increase sales.
The Manage Experiment Tool will have similarity alerts. When uploading the main image and title, if it is determined that the main image and the title are close to the original version, it will automatically prompt "too similar to draw a valid conclusion." This can help brand sellers effectively upload differentiated images. Main image and title.
Brand sellers can create two different versions of product content, then review which version performed better at the end of the experiment, and finally publish the optimized version directly in the system. If there is a problem of homogeneity in the category of the seller, in addition to ensuring the quality of the product, the focus also needs to be refined. First, you can use the brand analysis report to identify the optimization point, and then use the management experiment tool to build a comparative experiment. It should be noted that optimization does not rely on intuition, but on reasonable assumptions, scientific verification, and ensuring that each experiment is meaningful, so as to effectively break through the bottleneck of conversion rate.