In the Wish backend, the most concentrated data is the various indicators under the “Performance” menu.
The data in the “Performance” menu of the store will be updated on a weekly basis every Wednesday. After each data update, merchants should check their store’s performance for the week as soon as possible. Next, we will introduce the meaning of each data item, analyze several important data items in detail, and recommend some different statistical methods to merchants.
Product Overview
The product data overview shows the number of products on the shelves in the store, the number of active SKUs, the number of SKUs contained in a single product, the average price and shipping cost, the price-to-shipping cost ratio, the number of additional images for a single product, and the store’s weekly page views and sales. The data can be exported for further processing and analysis.
This part of the data can mainly help merchants complete the following operations:
(1) Check whether the store has completed the weekly product updates.
(2) Check whether the price-to-shipping cost ratio of the listed products meets the specifications.
(3) You can check the store’s sales by comparing store traffic, sales and the total number of products on the shelves. In the 18th week, when the number of products decreased significantly, sales did not drop significantly. Compared with the data in the 8th and 13th weeks, the number of products did not directly determine traffic and sales. However, in the long run, the number of products in the store has a positive relationship with sales and page views. Therefore, for the product operation of the store, the most core task is to develop products that continue to sell well, and it is necessary to continuously increase the product base in the store.
(4) Monitor the product price structure of the store. Although low-priced products are more likely to become hot-selling products on the Wish platform, any store needs to continue to increase its average sales price after it reaches a certain stage of operation. Because as the store grows and the market competition becomes more and more fierce, high-priced products can leave more room for optimizing logistics and product quality over a longer period of time.