Let’s take Amazon as an example to explain several key points of product selection on B2C e-commerce platforms.
(1) Use the Amazon search box to analyze related subcategories. Enter a core keyword, and the system will filter out the related long-tail keywords that are currently searched by buyers. You can use these keywords to understand the related subcategories of the core keyword and provide clues for determining the market segment for the target product.
(2) Analyze the rankings on the Amazon website. Click the “AnyyDepartments” tab on the Amazon front end, click the subcategory where the target product is located, and directly click “Best Sellers”. The ranking lists the best-selling products in the category.
In addition, Amazon has other ranking information for sellers to refer to. D Hot New Releases. Through this ranking, sellers can know the latest and hottest products. When analyzing, combined with factors such as seasons and festivals, they can make a judgment on hot-selling products and trends.
2Movers & Shakers. Through this ranking, sellers can know which products have the fastest sales growth in a day, and use this data to find potential products.
3 Most Wished For (Wish List). Through this ranking, sellers can know which products buyers want to buy but have not bought yet. Once the price of the products in the wish list is reduced, the platform will actively send a notification to the buyer, which can help sellers understand what products the buyer wants.
D Gift Ideas (Most Popular Gift). If your product has the attribute of a gift, you can pay attention to this ranking. This data is updated daily. It should be noted that when analyzing the data on this list, we should choose the second and third level categories that match our product category.
(3) Make good use of data analysis tools. For example, the Amazon tool Jungle Scout is one of the largest product databases in the industry designed specifically for Amazon sellers. It can customize product filtering based on 16 dimensions such as monthly sales, price, profit, number of reviews, size and weight, and quickly obtain product information that meets the search criteria. In addition, the tool can automatically track and compare the key information of competing products, and can automatically monitor the daily sales, price and ranking of listings for a long time. Newmorehot is also a commonly used product selection data software, which collects product data from multiple cross-border e-commerce platforms such as Wish, AliExpress, and Amazon, making it easier for sellers to compare and analyze.