It's unbelievable! In the world of cross-border e-commerce, there is such a golden rule as "seven parts depend on product selection, three parts depend on operation"! Selecting a set of products that cater to consumer trends not only increases the possibility of opening up new markets and accumulating sales rankings faster, but also reduces the pressure on inventory and creates a great return for global store sellers.
Selection strategy plays a decisive role in e-commerce, it not only affects the subsequent product cost, sales copy, logistics costs, etc., but also directly determines your sales performance and profit margins. For Amazon sellers, this is a critical decision that must be carefully evaluated.
Do you know what the real purpose of product selection is? It is to objectively evaluate the business opportunities of products through data-based methods, and comprehensively consider factors such as site environment, product analysis, risk assessment and profit assessment to find out the products with relative business opportunities and enhance the chances of success in running Amazon.
The most frustrating part is that even with the best product selection, profitability can still be affected by account operations, advertising or seasonal factors. With data-based analysis, cross-border brand owners can only select products that have a relative chance of making a profit, rather than identifying products that are guaranteed to make a profit.
The basic principles of product selection are very clear: firstly, from the perspective of demand, ensure that the product has differentiation and uniqueness; secondly, observe the competitors and analyze the competitive situation of the category; then consider the profitability and clearly understand the cost structure; and lastly, avoid the risk to ensure that the product complies with the regulations.
For example, during the Greek economic crisis, many sellers found that Greek local products with special characteristics were more popular in the international market, which is a successful case of starting from demand. Instead of blindly following hot categories, we end up in vicious competition.
A successful product selection process should consist of five steps: identifying target categories, collecting data, processing the data, screening the five dimensions of potential products, and evaluating the potential products that have been screened. This systematic approach to product selection helps international e-commerce operators to eliminate products that are obviously risky or unprofitable, and significantly increase the chances of success in entering new channels and markets.
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# Amazon Global Store # Cross-border E-commerce # Taiwan Sellers # Selection Strategy # Data Analysis # North America # Europe # Amazon Mall