AliExpress store operation optimization guide: traffic analysis and declared value strategy

1. Traffic overview and optimization

AliExpress sellers can view the overall traffic situation of the store through “Data Aspect – Traffic Profile”, including the changing trends of core indicators such as page views and number of visitors. If the number of views and visitors increases but the conversion rate of additional purchase clicks or orders does not improve, you need to optimize product quality, image display, title description, etc., and consider launching promotional activities to meet the needs of buyers.

For situations where the traffic is insufficient or declining but the conversion rate is acceptable, optimization should be carried out in terms of promotion, affiliate marketing, through-train, etc. Through “traffic source direction – traffic path”, sellers can identify which pages have a higher conversion rate for visitors to place orders, and thus improve the pages with lower values ​​from the perspectives of visuals, soft text, and detailed design.

In addition, the “sources of new and old visitors” data helps to understand the composition of traffic, especially the proportion of internal and external traffic on the platform, so as to optimize customer maintenance and third-party traffic diversion in a targeted manner. These data analysis results should be fed back into the daily operations of the store to guide store optimization work.

2. Application of real-time storm data

Real-time storm data can display the store’s exposure, page views, visitors, order volume and other information, helping sellers understand the store’s real-time transaction volume and industry position. By comparing week-to-week data, you can determine peak traffic periods.

For example, if the number of orders is higher than the actual number of completed orders, the reasons for non-payment need to be analyzed, such as price, inventory, payment method and other factors. Adding to cart or favorites without paying may indicate that the buyer is still comparing other options and may be tempted to complete the purchase by offering a price reduction, for example.

3. Store profile data analysis

The store profile includes information such as ranking, operating status, core indicators, and visitor distribution. Through this data, potential problems in the store can be discovered.

For example, the GMV dashboard provides an overview of recent transaction data, helping to identify trends in purchase rates and customer unit prices. To increase the purchase rate, you can start by optimizing the details page and deleting invalid keywords; to increase the unit price, you need to improve the related sales strategy.

Country and regional distribution data reveal different market traffic and transaction trends, guiding sellers to adjust marketing strategies. Core indicator analysis displays key figures such as exposure and number of visitors, helping to monitor operational health such as refund rates and payment success rates.

4. Suggestions on delivery declaration value

Correctly filling in the value of the product is crucial to international logistics. Although false or under-declaration may temporarily reduce tariffs, there are risks of customs detention, customs clearance delays and even return shipments. At the same time, the amount of compensation when the express delivery is lost is usually determined based on the declared amount.

Therefore, AliExpress recommends that sellers declare truthfully based on the actual situation and consult local customs for accurate guidance when necessary. While considering the interests of recipients, comprehensively assess risks to ensure compliance with regulations.

In short, through the effective use of various data analysis tools provided by the AliExpress platform, combined with reasonable price declaration strategies, sellers can not only optimize store performance, but also avoid unnecessary legal and financial risks and achieve long-term stability develop.