As more and more sellers begin to use various product selection tools to select products, some smart sellers begin to rely on the most original data analysis methods to achieve successful product selection through granular analysis of data. Then How to use Amazon data to select products? Please share below.
The logic of using Amazon data to select products is: first confirm the target of the sample – then confirm the target collection work of the sample – and finally conduct refined sample analysis. 1. How to determine the sample target?
When cross-border e-commerce Amazon sellers conduct data analysis, they must have a large sample as support. The larger the sample size, the more accurate future data analysis will be. You can use the TOP100 subdivided categories for sample collection. Cross-border e-commerce Amazon sellers must follow the established “product selection channels” and “basic product selection standards”, such as searching for a shopping bag Storage Bag. Enter the keyword “Storage Bag” on Amazon and click on the shopping bag product you want to sell. 2. Collection of sample targets. After determining the sample target, cross-border e-commerce Amazon sellers began sample data collection and collection. If a product ranks first or second in the top 100 categories, but cannot enter the top 1,000 in the overall ranking, it means that the ceiling of this cross-border e-commerce market is very low.
3. How to use Amazon data to select products?
In the basic product selection criteria, cross-border e-commerce Amazon sellers must choose a suitable price range, preferably below 30 US dollars. This price range is more suitable for inexperienced players, but it can be determined according to the actual situation and Depending on the financial situation, the price limit should be increased appropriately; but cross-border e-commerce Amazon sellers choose products for large-scale profits, so when selecting products carefully, they need to: calculate the cost/profit rate of the product to judge the market space of a product, as well as the actual profit margins.
In short, the above is the relevant explanation of “how to use Amazon data to select products”. Cross-border e-commerce Amazon sellers should conduct data analysis and product selection through three steps. The first is to determine what is the goal of collecting data? The second step is to collect enough sample data for secondary analysis; the last step is to convert costs and estimate profit margins based on the collected data.