The brand analysis function refers to Amazon’s special provision of valuable business data for brands to help sellers discover more data on the Amazon platform. The brand analysis function is helpful for product selection and operation. This function was originally only open to VC and VE accounts, but now brand sellers can also use this function.

Brand analysis includes three main modules: Amazon keyword search, product comparison and crowd statistics. Sellers can use the keyword search report of the backend brand analysis to obtain the most commonly used search terms in the Amazon mall in a specific time period, the search frequency ranking of each word, and the top three products clicked by buyers after searching for the word. Sellers can find search phrases with high search frequency and related to their products by entering core words.

The product comparison function is mainly used to find competing products on the site, allowing sellers to optimize in a targeted manner. By tracking the trend of the proportion of alternative purchases, sellers can analyze market changes in a timely manner and confirm the development of new products in the next stage.

Crowd statistics refer to the statistics of user portraits of buyers who have purchased store products in the past period of time, including gender, age, education level, whether they are married, etc. These data can be directly used to optimize user portraits.

Through the analysis of the above three modules, we can see that sellers can basically determine the product development ideas and directions, as well as subsequent marketing and advertising strategies based on user demand data, product data and population data, in order to improve overall operational efficiency.