Haiying Data is a data analysis tool that currently provides big data product selection, data monitoring and other data analysis services for sellers on the three major cross-border e-commerce platforms, Amazon, Wish and eBay.
Haiying Data has a good reputation among cross-border e-commerce sellers for two main reasons: first, all functions are free; second, almost all operations can be used without logging in. These two advantages are very attractive to cross-border e-commerce sellers.
Introduction to Wish platform product selection function
Compared with Amazon and eBay platforms, the Wish platform data captured by Haiying Data is more comprehensive, detailed and specific. Therefore, it is very popular among Wish platform sellers. The following will introduce its functions from the two dimensions of product analysis and store analysis.
(1) Product analysis.
The product analysis column is divided into 9 modules, namely product search, hot-selling products, product surge, hot-selling new products, surge new products, hot-selling products in overseas warehouses, surge products in overseas warehouses, hot-selling new products in overseas warehouses, and surge new products in overseas warehouses. Under these 9 modules, you can also view the segmented data of the corresponding categories. For example, in the hot-selling product module, Wish sellers can set the following parameters to accurately search for the data they need:
● Total price range of the product.
● Product listing time.
● Total sales (number of sales in the first 7 days, number of sales in the first 8 to 14 days).
● Viewing Now average.
● Number of new comments in the first 30 days.
● Whether the product has PB.
● Whether the product is an overseas warehouse product.
● Whether the product is a Wish certified product.
● Category filtering.
● Rating.
So, how to operate Haiying Data specifically? The following is an example of the Wish hot-selling product module.
Open the Haiying Data page, execute the “Product Analysis” → “Hot-selling Products” command, open the “Hot-selling Products” search page, set the relevant parameters according to the page prompts, and click the “Search” button after the settings are completed.
Wish sellers can intuitively analyze which sellers have listed this type of product in a certain period of time, as well as product ratings, total product price (sale price + shipping fee), total sales, and other information. They can also understand the sales trend of the product during this period. Haiying Data also supports online viewing of product links, following products, and batch downloading of product data.
When downloading product data, users can choose the download type (store secretary mode, Mango store manager mode) and export tags (Wish optimized tags, seller self-filled tags).
In addition to hot-selling products, hot-selling new products and soaring new products are also two important data. Wish platform sellers can directly view the latest hot-selling products here, as well as the corresponding product prices, sales, collections, number of comments, product listing time, etc. “Hot-selling new products” search page.
(2) Store analysis.
Store analysis mainly includes five modules: store search, store hot sales, store soaring, hot-selling new stores, and soaring new stores.
For example, when you open the store search page, you can analyze the store data from the following perspectives:
●Total number of products.
●Total number of hit products.
●Store hit rate.
●Number of hits of new products.
●The hit rate of new products.
●Sales in the previous 7 days (number of units sold, sales amount, sales growth rate).
●Store opening time.
Store search page. As can be seen from the store search page, the Wish store data collected by Haiying Data is relatively comprehensive. Sellers can select stores with high hit rates for key research, refer to the information of the target store, optimize the pictures and text descriptions of their own store products, analyze whether the pricing of their own products is competitive, and so on.