How to do data analysis on Amazon product selection?
Data analysis refers to the process of using statistical analysis methods of data to analyze a large amount of data collected, extract useful information and form conclusions, and conduct detailed research and summary of the data; the process of Amazon product selection data is a very important process, In practice, data is analyzed in two parts, which can help you make judgments and take appropriate action. So, how to do the data analysis of Amazon’s selection? This article introduces.
- Market demand analysis.
The so-called demand analysis is to analyze the demand of the product in the market. In general, sellers conduct a comprehensive comparison and analysis of the search volume, the number of online listings, and the monthly sales data of the keyword homepage. After the above three indicators of product-related keywords are listed, the competitiveness of the keyword can be calculated by monthly search volume/number of online listings/30. In this way, it can be judged whether the market competition of the product is highly concentrated and whether the demand is high.
- By analyzing historical data.
The demand analysis in the previous link can only reflect the current market demand for products, but is there any unexpected situation that causes abnormal market data?
This needs to be judged by the historical popularity of product searches. Sellers can use some tool software to count the product search popularity in recent years, and the general trend to judge the historical development. If there are no significant abnormal changes, it can be considered that the current market demand represents the real market demand.
- Seasonal analysis.
That is, whether there are significant seasonal differences in product sales within a year. Count the product popularity in a one-year cycle and observe whether there is a sales situation that is significantly higher than the data of other months. In order to be more accurate, the data in recent years can be analyzed and compared. If there is a uniform change trend, it can be confirmed that there is a seasonal cycle in product sales.
The last is market competition data analysis. Through the analysis of the fixed keyword sales of different display positions, the overall market volume and weighted average price, the market influence and sales level of different brands, and the profit estimate generated after cost statistics are judged.