Products selected using the data crawling method need to have strong supply chain support. If your own supply chain is relatively weak, don’t worry. Sellers can use the same steps to crawl hot-selling products from wholesale websites and then transfer them to the Amazon platform for sales.
It should be noted that if the data crawling method is used to select products, the data crawling and statistics time is at least 1 week. At the same time, in order to reduce risks, it is necessary to observe for another week to confirm whether the style is a potential model. However, if you wait until it is confirmed to be a potential model before integrating the supply chain for production, when the product is sent to the Amazon warehouse, at least 1 month has passed since the crawling data analysis. Although the growth cycle of a product is generally more than 1 month, given that it is very difficult to track the data fluctuations of each new product on Amazon in real time through a crawler program, it is best to control the cycle of “data analysis + model verification + real sales” within 21 days.
It is recommended to solve this problem through the following two solutions.
(1) Collect data in the early stage to find some potential styles, and then find out whether there are corresponding links on 1688 (Alibaba) or other domestic wholesale websites. If there is a link and the 1688 seller supports small order sales, you can directly purchase the product in small quantities. After confirming that the quality meets the requirements, 10 to 15 days after the first data crawling, confirm that the style is a potential model and you can submit a small batch order. When the product arrives, observe its traffic trend and decide whether to continue to purchase it on 1688 or produce it yourself.
(2) Collect and analyze data in the early stage, find some potential styles, and start making samples directly. 10 to 15 days after the first data crawling, confirm that the style is a potential model, and confirm the shipment of samples at the same time. Strive to complete product production within 25 days, and send the self-produced products to Amazon warehouses for online sales within 1 month.
Many small and medium-sized sellers on the Amazon platform purchase products on websites such as 1688 and then sell them on the Amazon platform. Therefore, new sellers can analyze the sales data on these wholesale websites in real time, and then sell products with skyrocketing sales data on the Amazon platform. Take skirts as an example. First, search for “Amazon skirts” on the 1688 website, and then you can see the specific sales information. Finally, use the same method to use the crawler program to crawl its sales, and judge which products are hot-selling products recently and which products are recent explosive products based on the fluctuations in sales.
It should be noted that this method has both advantages and disadvantages.
Advantages:
●It can track the changes in competitor product data in real time, and not miss any product with explosive potential on the Amazon platform.
●The explosive evaluation is objective and scientific, which can help sellers save a lot of product selection costs and product testing time. Disadvantages:
●Ranking data still has a certain degree of lag.
●The seller’s computer application ability and data mining ability are very high.
●It is necessary to be proficient in efficient compilation algorithms, otherwise the information processing cycle will be too long.
●It has high requirements for the supply chain.