Data-based product selection is to process the massive data collected through certain logic and present the various data of Listing in a structured way to help sellers find products that meet their expected positioning. This section will be based on the Seller Elf case to quantify the product selection and make the product selection truly practical. It will help everyone understand the logic of data-based product selection, encourage you to think deeply, learn to look at data, analyze data, and be able to do things with data. decision making.
1. Product selection based on keyword big data
Every search by a buyer on Amazon represents the demand for a certain type of product. Keyword product selection is to discover potential markets based on buyers’ search behavior, and helps sellers understand Amazon’s buyer needs and corresponding products through keywords’ monthly search volume, purchase rate and other data.
Use Seller Wizard’s keyword mining tool to discover keywords that are growing in trend.
Select keywords by judging their monthly growth trend, monthly search volume, monthly purchase volume, number of competitors, and supply-demand ratio, and then use these keywords to select products. Using the Seller Wizard, just place the mouse cursor on a keyword and you can see the top 10 products that naturally rank for that keyword.
2. Product selection based on market demand
Each keyword corresponds to a market segment. The size of the keyword search volume directly reflects the size and capacity of the market demand and is also a seller. Important reference indicators when choosing a competitive track.
For powerful sellers, markets with monthly keyword searches of less than 100,000 are disdainful because they are too small and do not meet their sales expectations; for small and medium-sized sellers who have just entered the market, they will give priority to monthly searches. Markets with smaller search volumes, because markets with large monthly search volume, also tend to mean greater competition.
The “Keyword Product Selection” function of the Seller Elf provides a variety of recommended product selection modes, such as “Popular Markets” (the system automatically fills in filter conditions: monthly search volume is greater than 100,000, and monthly search volume increases rate ≥ 10%), you can filter out markets with large search volume and growth in a certain category.
Then add other filtering conditions based on your own strength and preferences. Sellers with financial advantages can choose products with high customer unit prices to win in order to win with profits.
By default, the query results are arranged in descending order according to the monthly search volume of the keywords. The higher the keyword ranking, the greater the monthly search volume.