AliExpress data analysis and store traffic and conversion rate optimization strategies

For AliExpress sellers, data analysis and optimization are the keys to increasing store sales. By analyzing traffic and conversion rates, sellers can more accurately adjust marketing strategies and increase sales. The following are detailed analysis methods and optimization strategies.

Traffic analysis

Traffic is the basis for the survival of a store. Only when the product is exposed can it be possible to generate traffic. In order to improve traffic quality, sellers can start from the following aspects:

• Segment traffic sources: Traffic can be divided into two categories: free traffic and paid traffic. Optimizing channel quality is the key to increasing traffic.
• Segment visit time points: Analyze the weekly visit patterns of traffic, and cater to the upward trend of traffic to promote marketing activities and launch new products.
• Segment visited pages: Optimize the quality of user visited pages and reduce the bounce rate; through heat map analysis, determine whether the page design is reasonable and whether the placement of advertising spaces is appropriate, etc.

Conversion rate analysis

Conversion rate analysis is designed to detect the conversion of users’ purchase paths, calculate the conversion rate and churn rate data of each link, and thereby optimize products or pages. Specific analysis methods include:

• Comparative analysis: Conduct basic indicators from the dimensions of point (indicator value), line (indicator value in the time dimension, such as year-on-year, month-on-month, etc.), and surface (comparison of indicator values ​​in different categories). Comparative analysis.
• Conversion analysis: Analyze the conversion rate of each node, such as the conversion rate from the homepage to the list page, the conversion rate from the list page to the details page, the conversion rate from the details page to the payment page, and the conversion rate from the payment page to the payment success page. Rate.

Optimize dimensions

On the AliExpress platform, people, goods, and places are the key elements of all transactions. Sellers should optimize in these three dimensions:

• People: Improve user stickiness and enhance user trust.
• Goods: Optimize product quality and enhance product competitiveness.
• Street: Optimize the store environment and improve user experience.

Backend data analysis

AliExpress backend data includes a variety of information such as platform data and transaction data. Sellers can obtain the required information by analyzing these data. For example, by analyzing the platform data of AliExpress, we can understand the supply and demand situation and traffic ratio of the industry, and then select high-quality products for sale. In addition, sellers can also analyze the performance of back-end product data and optimize products to increase exposure and click-through rates.

Through train data report

As a popular advertising form, AliExpress Express’s data reporting module provides a wealth of information, including account reports, product reports, keyword reports, etc. Through these reports, sellers can understand promotion effects and adjust strategies.

Data export and analysis

In order to better use data to guide operations, sellers can export data reports from the AliExpress backend and analyze them through tools such as Excel. Specific steps include logging into your AliExpress account, entering the data report page, selecting the data type and time range, exporting the data report, etc.

Conclusion

In summary, through in-depth analysis and optimization of AliExpress data, sellers can effectively increase store traffic and conversion rates, thereby increasing sales. I hope every seller can make good use of these tools so that the store can stand on the shoulders of giants from product selection to marketing and take off quickly.