1. Refined product analysis
(1) Enter the AliExpress data vertical and horizontal page, select the “Product Analysis” option to open the product analysis page.
(2) Click the “Customize Indicator” button and select the indicator you want to customize in the pop-up window.
Indicators are important criteria for measuring the quality of products. The core indicators that AliExpress sellers need to pay attention to when analyzing single product data include search exposure, product page views, product page visitor number, search click-through rate, browse-order conversion rate, average stay time, number of add-to-carts, number of favorites, etc.
The factors that affect the core indicators are as follows:
●Search exposure, product page views, and product page visitor number are proportional to each other and are most affected by natural ranking.
●The main factors affecting search click-through rate are product main image, product price, and product title.
●The factors affecting average stay time are product detail page description, product features, related marketing, and product video.
●The factors affecting the browse-order conversion rate are product price and product details page description.
●The factors affecting the number of add-to-cart and the number of people adding to favorites are product price, product details page description and product details page guidance.
2. Core indicators of store products
Open the product analysis page and download the product data in the store according to the dimensions of purpose, family, product and time for analysis. Click the “Download” button to export the table for processing.
Add the average value in each column and highlight the data in the table that is higher than the average value with a shading, as shown in Figure 6-18. Among them, purchase intention = (number of people adding to the shopping cart + number of people adding to favorites) ÷ UV. Divide the table into two parts with purchase intention as the middle value: the left side is the reference data for optimizing products, and the right side is the reference data for exploring potential models.