For Amazon sellers, dealing with Amazon's product data is a common occurrence. Amazon's product data analysis is of great significance to Amazon's operations, but Amazon sellers don't know where to start in actual operations. So how do we use Amazon product data analysis to find high-quality products in the store?
Amazon sellers should all know that sales = traffic * conversion rate
The Amazon platform does not care how much traffic you get. Anyway, all the traffic on the platform belongs to Amazon. No matter which product the traffic is assigned to, the total amount of traffic will not change. Amazon only cares about your conversion rate. In order to obtain higher GMV, Amazon’s choice is to assign as much traffic as possible to products with high conversion rates.
Conversion rate is the indicator that the platform attaches the most importance to. Products with high conversion rates have a greater chance of obtaining higher traffic, making Amazon feel that your listing quality is relatively high, and advertising can get better rankings. In order to achieve higher sales volume, the primary indicator for product selection is to examine the conversion rate of the product.
Based on this understanding, we can simply understand "high-quality products in the store" as "products with good conversion rates". So how do we analyze products with good conversion rates and high conversion rates? There are several ways to judge:
1. Data period: It is recommended to use data reports covering the last 15 days. Data that is too short often lacks statistical significance due to its small values, while data that is too long will fail to reflect market changes due to lack of timeliness.
2. Trading volume: It is recommended to filter all products in the report with a trading volume below 10.
A major prerequisite for Amazon product data analysis is a complete statistical foundation. The smaller the data, the greater the statistical deviation, which will lead to a greater deviation in the analysis results.
3. Conversion rate: This is an indispensable factor for high-quality products!
Through the above steps, we know how to select suitable Amazon products. At this time, we should concentrate promotional resources to make them popular products in the store. It is best for the store to concentrate resources on 1-3 products with the most potential.
Complete Amazon product data analysis also includes the following analyses: product promotion effect analysis, product profit analysis, market capacity assessment, product life cycle, average order value and other factors, tracking product promotion effects and analyzing the growth potential of Amazon products.
The above is the relevant content of Amazon data analysis. For more complete Amazon information, please continue to pay attention!
