How to conduct cross-border e-commerce market data analysis: Men’s clothing industry case

When conducting cross-border e-commerce market data analysis, especially for the men’s clothing industry, merchants need to follow a series of steps to ensure the effectiveness and comprehensiveness of the analysis. From identifying goals to organizing and presenting data, here is a detailed process.

1. Determine the analysis goals and content framework

First of all, it is key to clearly define the goals of the analysis. Taking men’s clothing as an example, merchants need to focus on the market category data of this sub-industry, especially the market capacity data of each secondary category. This will help merchants better understand the overall market conditions and potential opportunities.

2. Data collection

In the data collection stage, merchants need to understand the market capacity of each category under the men’s clothing category. Information can be obtained by analyzing transaction data and its changes, the proportion of sellers, and other data. It is recommended that merchants log in to the business advisory backend and select “Market” through the “Market” option in the navigation bar to view data. It is suitable to select monthly data for subsequent archiving and analysis.

3. Data sorting

The obtained market capacity data needs to be organized. Merchants can select the data from January to December in the business consultant and copy the subdivided data to Excel for subsequent analysis.

4. Data display

Based on the compiled data, merchants can draw clustered column charts to more intuitively display the proportion of payment amounts in sub-industries throughout the year (January to December). This visual representation helps quickly understand market dynamics.

5. Data analysis

After completing the collection and display of data, merchants should conduct trend analysis on monthly data. Merchants can create a data table of the transaction proportion of a specific category within a year, so as to clearly see the performance changes of a certain sub-category in different time periods, and provide a basis for subsequent decision-making.

6. Comparison of cyclical industry data

Finally, in order to increase sales, merchants also need to compare industry data and analyze the proportion of payment amounts for different categories of goods. This will support merchants to formulate more reasonable product planning, increase the coverage of high-quality categories, and thereby improve overall sales performance.

Through the above steps, merchants can effectively conduct cross-border e-commerce market data analysis and provide data support and guidance for subsequent market strategies and category layout.