How to create popular products on AliExpress and data analysis steps

In the field of cross-border e-commerce, AliExpress has attracted a large number of domestic merchants due to its price advantages and low entry barriers. In order to stand out in a highly competitive environment, AliExpress sellers pay great attention to how to create hot-selling products and how to improve store operation efficiency through data analysis. Below is detailed guidance on how to conduct product selection and data analysis.

Four stages of creating blockbuster products

After AliExpress sellers open a store, choosing popular products can effectively increase the natural traffic of the store, thereby driving sales and building brand image. The process of creating a hit product can be divided into four stages:

1. Discount strategy for new products:
   New products generally enjoy a 20% discount. If you purchase the product many times but fail to generate an order, this indicates that there may be a problem with the product itself, and it is recommended to treat it as a potential product.

2. Add early orders:
   In the early stage, by increasing the discount to 30%-50%, sellers can quickly increase the order volume. After reaching 30-50 orders, the product’s exposure and overall sales can be significantly improved, thereby increasing the store’s exposure and driving customers to place orders. one.

3. Interim order maintenance:
   At this stage, the discount should be kept at around 30% to ensure stable orders. Sellers need to focus on key data such as customer service, evaluation management, and keyword rankings.

4. Discount adjustment during the stable period:
   After the product ranking stabilizes, the discount can be restored to 20%. At this stage, more attention should be paid to traffic acquisition and order accumulation to increase the profit margin of the product.

Steps of AliExpress data analysis

AliExpress merchants use data analysis to optimize store operations. The specific steps are as follows:

1. Take advantage of data insights:
   The “Data Aspect” of the AliExpress platform provides rich data integration, including modules such as real-time storms, business analysis, and business opportunity discovery. Sellers can understand market dynamics through search word analysis and explore blue ocean products.

2. Analyze specific data of target categories:
   After determining the target category, it is necessary to conduct an in-depth analysis of the sales volume, evaluation and other data of this type of product. This information can be automatically captured using software or manually organized into tables.

3. Select target product:
   After completing the analysis of the products, sellers should select products that meet traffic needs among the published products, such as traffic diversion models, profit models, or pre-explosion models.

4. Evaluate popular products:
   When selecting products, sellers should evaluate products with large order volumes. Usually these products have greater market potential. After determining the store positioning, perform data comparison and selection. It is recommended to select about thirty products in each sub-category for detailed price, information page and keyword editing.

Through reasonable product building strategies and systematic data analysis steps, AliExpress sellers can effectively improve the operational effects of their stores, thereby gaining an advantage in the fierce market competition.