As an auxiliary tool, AliExpress Express’s promotion effect depends on the products being promoted. Therefore, sellers need to pay special attention when choosing products to promote, which products are suitable for promotion, which products are not necessary to promote, and which products can be tested first. These require sellers to analyze based on the data fed back by the product and system to reduce the risk of later promotion. So how to choose products to promote? The answer is to use AliExpress’s through-train product selection tool. As the saying goes, “If you select the wrong product, your efforts will be in vain.” This also applies to through-train promotion.
The filtering conditions in the product selection tool provide good data support for sellers to promote product selection. Especially for new stores, there is no data basis in the early stage, which can be used as a reference for product selection and promotion. The product selection tool page is divided into three major sections. In the product screening area, sellers can filter corresponding products based on different recommendation reasons, whether they have participated in through-train promotions, the grouping of products in the store, the account under which the product is released, the data dimension of 7 days or 30 days, and the direct search for product IDs. Sellers need to focus on understanding the reasons for recommending products.
The reason for product recommendation is a reference provided by the system based on the comparison of attributes, data and other content between store products and other products on the platform. It is divided into four statuses: unlimited, hot search, hot sale and potential. Select No limit means there is no specific reason for recommendation, and it belongs to all product displays.
If hot search is selected as the reason for recommendation, the seller needs to check the store products for similar products that match the attributes of the buyer’s hot search products, and check which store products are potential hot search products. If the system only relies on the system to compare and recommend the attributes of hot-searched products by other buyers on the platform to determine hot searches, there may be a lot of uncertainty in the promotion. It is recommended that products with hot searches as the reason for recommendation be added to the quick promotion plan first, and then the hot searches can be determined. There is a 7-day cycle of testing, and the data feedback from the product testing will be used to decide whether to transfer it to the key promotion plan as the main product.
If best-selling is selected as the recommendation reason, sellers need to check similar products in the store that match the attributes of the hot-selling products on the website to see which store products are potentially hot-selling products. The system also compares and recommends the attributes of other hot-selling products on the platform and the data of all products in the store. There are still many uncertainties in the promotion, so it is recommended that products with hot sales as the reason for recommendation be added to the quick promotion plan for testing. Use the data feedback during the payment test period to decide whether to transfer to the key promotion plan for main promotion.
Select potential as the reason for recommendation. Sellers should combine the product’s own orders, conversion rate and other data to add products with good overall performance, potential for placement, and products with the best data performance into key promotion plans. Featured. At the same time, optimize promotion creativity, increase product click-through rates, and provide more traffic for products.
There are two indicators in the product data display area: category supply and demand index and competitiveness. The category supply and demand index represents the platform’s data calculation result of the number of searches by buyers and the total number of products in the category, which indirectly reflects Category supply and demand. The longer the bar chart is, the stronger the supply and demand relationship of the category is, that is, the greater the business opportunity. On the contrary, the competition becomes more intense. Competitiveness is based on product pricing as the main factor, comparing the pricing of one’s own products and other factors with products of the same category. The longer the bar chart is, the more competitive the product is among similar products and the easier it is for buyers to click or purchase.
Finally, it is recommended that products that are recommended based on hot searches and hot sales should first be added to the quick promotion plan for product testing, and then decide whether to join the key promotion plan for main promotion. Products with potential as the reason for recommendation are given priority and those with the best data performance are directly added to the key promotion plans for main promotion. While considering the different reasons for product recommendation, special attention should be paid to the two important indicators of the category supply and demand index and competitiveness of the product.