AliExpress data analysis: a comprehensive guide from business consulting to optimizing sales strategies

The “Business Consultant” tool on the AliExpress platform provides sellers with comprehensive data analysis functions to help them optimize store operations and improve sales performance. This tool not only contains industry and store data, but also displays data trends through intuitive charts, allowing sellers to adjust product layout in a timely manner. The key modules of business consultant include real-time storming, business analysis and business opportunity discovery.

Real-time overview

Sellers can view the store’s 24-hour data on the real-time overview page, including real-time payment amount, search exposure, page views, transaction conversion rate and other indicators, and compare it with the same period last week. This module provides sellers with transaction volume information during key time periods, which can be used to optimize the timing of marketing campaigns. When observing changes in traffic, sellers should pay attention to the performance in each time period in order to effectively increase the transaction volume of the store.

Business analysis module

The business analysis module is divided into four main parts:

1. Store Overview: This section helps sellers view store rankings, operating conditions and core indicator analysis in the last 7 days, 30 days or a custom time period. This includes data on the global distribution of visitors.

2. Store traffic sources: This section allows sellers to analyze the traffic composition of their stores, which is mainly divided into three categories: on-site, event and off-site traffic. This data can help sellers understand the specific contribution of each traffic source to the store.

3. Shop decoration: By analyzing the relationship between store traffic and decoration effect, sellers can evaluate the effect of store decoration. At the same time, you can check the number of page views, number of visitors, average visit depth and other indicators to ensure the coordination between decoration and traffic.

4. Product Analysis: This section focuses on the performance of individual products, providing product performance rankings and product source analysis. Sellers can use the data provided by the system to find out the factors affecting product performance and take targeted measures for optimization.

How to conduct data analysis effectively

To make full use of AliExpress’s data analysis, sellers should pay attention to the following aspects:

1. Basic data analysis: First of all, you need to understand the visitors, traffic sources and exposure of the overall store. If the overall data is low, you need to further analyze the traffic source and the quality of the product, especially the attractiveness of the product pictures and descriptions.

2. Product selection analysis: Sellers need to observe the supply and demand situation and traffic proportion of various industry categories, determine the products with the most potential on the market, and derive effective product selection strategies based on data analysis.

3. Transaction data analysis: Through the sales conversion formula (sales = number of visitors × conversion rate × customer unit price), sellers can intuitively analyze transaction data. This method can help sellers figure out the relationship between traffic exposure and actual conversions.

4. Focus on keywords and product display: In order to improve conversion rates, sellers must ensure that the keyword popularity of the product is related to the actual product. In addition, the features and uses of the product should be highlighted on the product details page. Make sure potential customers understand the value.

Through these data analysis strategies, sellers can continuously improve store performance and effectively increase sales profits.