Amazon is an e-commerce shopping platform driven by big data. Each category of the platform is supported by data and incorporates users’ shopping habits and conversion rates, so we need to study it separately. In the future, Amazon will need to develop a niche market, which is best described by the following example.
The keyword “lose weight” is obviously too big and the competition is too fierce.
Weight loss for women will be better, but the competition is still too strong.
There is little competition for weight loss for women who’ve recently given birth, so this is a niche market for weight loss.
The following is based on actual operations to find such categories.
First, open the Amazon website and take a look at its category page.
Click on the Full Store Directory at the bottom to see all of Amazon’s subcategories.
Now, let’s dig deeper into Amazon’s category pages and the keyword layout used.
Suppose your Amazon account is selling some health food for pet dogs (PetSupplies). Click on Pet Supplies first, then click on dogs.
Then, select wet in the menu on the right of food.
At this time, the Amazon buyer page will display the keyword name of dog food and the secondary classification of the category page.
New sellers can select products in the order of Pet Supplics→Dogs→FoodWet.
The Amazon platform is based on big data, that is, years of buyer shopping data, and has provided us with a very good segmented category. If sellers can make full use of Amazon categories to explore products, they can find good niche markets and even potentially explosive products.