[Background of the problem]
After setting up the store, Liu Jing began to think about how to select products, create hot items, and open up the store. Liu Jing first began to study the background data of AliExpress. What tools does he need to select products? The three steps of product selection are data acquisition, data analysis, and competitiveness analysis. To obtain industry data, the first tool to use is AliExpress’s industry intelligence.
[Preparation required]
Registered and certified store, paid technical service fees, passed the store opening exam, and completed store information.
[Operation skills]
Analyze the industry overview. Open the “Data Across”-“Industry Intelligence” page. We can see that in the past 7 days, the proportion of visitors to men’s clothing is 29.01%, and the proportion of paid orders is 13.14%. This data shows that under the first-level category of clothing, the second-level category of men’s clothing accounts for 29.01% of the market.
Analyze the proportion of category visitors. When analyzing multiple categories, you can use industry trends, and you don’t need to query industry trends one by one. We selected three representative categories: women’s clothing, wedding dresses, and men’s clothing. The system will present a trend chart of the visitor ratio of these three categories within 7 days. It can be intuitively seen that the average visitor ratio of these three industries is about 63.3%, 36.37%, and 29.25%. Among them, women’s clothing is the most, and men’s clothing is the least.
Analyze the proportion of category transaction amount. Regarding the proportion of transaction amount, the data of women’s clothing, wedding dresses, and men’s clothing are 58.72%, 40.17%, and 19.46% respectively. By analyzing the proportion of visitors and the proportion of transaction amount, it is not difficult to find that they show a positive correlation, that is, the larger the number of visitors, the higher the proportion of transaction amount.
Analyze the supply and demand index. In terms of the supply and demand index, the data of women’s clothing, wedding dresses, and men’s clothing are 117.99%, 108.01%, and 96% respectively. If the supply and demand index is greater than 100%, it is considered to be oversupply. The larger the supply and demand index, the more intense the competition. It can be seen that the competition in the women’s clothing category is the most intense, and the competition in the men’s clothing category is the least.
Comprehensive analysis shows that:
The market capacity of women’s clothing is large and the market space is unlimited;
The women’s clothing category has a high number of views, a large number of visitors, and a large customer demand;
The women’s clothing category has a high proportion of transaction volume, and customers have a strong desire to buy;
Although the supply and demand index of the women’s clothing category is higher than that of men’s clothing and wedding dresses, it has dropped significantly compared with the early days. Although there are many sellers in the women’s clothing category, there are also many buyers. The women’s clothing category has diversified products, and the competition will be dispersed.
After analyzing industry intelligence, it can be generally considered that the women’s clothing category is a good choice.