AliExpress data analysis: a comprehensive interpretation from traffic to hot-selling attributes

In the competitive environment of modern e-commerce, data analysis has become one of the key factors for the success of e-commerce. Especially for AliExpress sellers, mastering and effectively utilizing various data provided by the platform can not only improve business efficiency, but also enhance their market competitiveness. This article will discuss how to promote business growth through data analysis from multiple perspectives such as traffic analysis, user behavior analysis, sales analysis and product hot-selling attributes.

1. Traffic analysis

Traffic analysis is the foundation of e-commerce operations. By analyzing traffic sources, quality, and trends in detail, you can better understand how customers find you and optimize your marketing strategies accordingly. Specifically:

• Traffic Sources: Identifying the main traffic channels (such as search engines, social media, advertising, etc.) will help focus resources on the most effective promotion methods.
• Traffic Quality: Evaluate which channels bring visitors who are more likely to convert into actual buyers, thereby improving conversion rates.
• Traffic Trend: Understand the traffic changes over time and arrange seasonal promotions appropriately.

2. User behavior analysis

Understanding users’ interaction patterns and their needs and preferences is crucial to improving user experience. Key concerns include:

• Browsing Path: Track users’ movements on the website and identify obstacles in the user experience.
• Dwell time: Analyze which pages or products attract users’ attention and which ones need improvement.
• Demand Analysis: Combine search records and user feedback to clarify the real needs of the target market and adjust product supply and marketing plans.

3. Sales analysis

Sales data reflects the overall performance of the business, mainly including:

• Order volume: Monitor order quantity fluctuations and predict peak demand periods.
• Sales: Track revenue changes and drill down to understand why.
• Return rate: Monitor the return rate to identify and resolve potential problems in a timely manner.

4. Analysis of product hot-selling attributes

For a specific product category, analyzing its hot-selling attributes can help sellers select products more accurately. The steps are as follows:

1. Download hot-selling attributes: Log in to the AliExpress seller backend, enter “Business Advisor” or “Data Aspect”, select relevant product categories and download the data for the past month.
2. Analyze valuable attributes: Check the transaction index corresponding to each attribute value, and select high-index attributes as a reference for product selection.
3. Combined hot-selling product portraits: Based on the transaction index of different attribute values, a rough outline of the hot-selling products is formed.
4. Verify hot-selling attributes: Verify the actual market performance of hot-selling attributes through keyword searches.

Conclusion

To sum up, whether it is a new business owner or an experienced veteran, it is crucial to master effective data analysis methods. Not only can it help merchants make more informed decisions, but it can also promote continued and healthy business development. We hope that the above content can provide valuable reference for all AliExpress sellers and help them succeed in the global e-commerce market.