For sellers, when operating a store, it is necessary to analyze the store data. However, when talking about data analysis, many people subconsciously think that it is a very troublesome and complicated thing, but data analysis is of great significance to Amazon’s operation. Only after sellers understand a lot of data, can they better understand the sales level and popularity of the goods, find ways to operate, and increase sales. So, how does Amazon view the daily sales of products? This article will introduce.

1. Navigation bar.

There will be a login button on Amazon’s navigation bar. Click to log in to Amazon’s account, you can enter the background of Amazon, there will be a “seven-day sales” at the top of the page, click the drop-down box to select today (so far), and the page will display the sales data of the day.

2. Amazon backend business report.

After logging in to Amazon’s backend center, find the data report, then click, select “Business Report” in the list below, enter, select the corresponding date, and you can view the sales data report. However, it should be noted that this data may be delayed.

3. Use a third-party Amazon sales tool to view sales.

Tracker m supports mobile applications to view Amazon’s real-time sales data. After logging into this system and binding Amazon’s store, you can view the daily sales of Amazon stores or individual products.

1. Through product data analysis, sellers can find high-quality products for their own stores. As long as the quality of the products in the seller’s store is good, there is no need to worry about no sales. Products with poor sales can be bundled and sold with high-quality products to drive unsalable products in the store, achieve more transactions and sales, and increase profit margins.

2. Understand customers’ preferences and habits, increase product promotion, and analyze product growth. Here, it is recommended that sellers make good data examples when promoting, and collect and analyze information such as the number of daily visitors, order volume, conversion rate, transaction amount, etc.

3. It can help sellers better discover the rules of the market, deeply explore and research new products, and facilitate product selection.