Where does this data come from?

Amazon.com features a best-sellers listing page for every category, subcategory, and further subdivisions.

I accessed each one of them. Got a total of 25,874 best seller pages.

For each page, I extracted data from the #1 product detail page – Name, Description, Price, Images and more. Everything that you can actually get from the HTML.

There’s a lot of insights that you can get from the data. My plan is to make the raw data public so everyone can benefit from it.

What about the product names?

Patterns about consumer psychology and market trends can be easily seen in the top keywords.

The most frequent terms — like "Pack," "Set," "Black," or "Kid" — seems to be a language of persuasion.

These keywords aren’t random at all; most likely they’re strategic tools designed to signal practicality, versatility, or affordability.

For instance, words like "Pack" and "Set" subtly emphasize bulk value, while descriptors such as "Stainless Steel" or "Waterproof" cater to specific buyer priorities.

Here's the top 20 keywords:

1. Pack

2. Set

3. Black

4. Book

5. Stainless

6. Steel

7. White

8. Inch

9. Kid

10. PC

11. Cover

12. Tool

13. Women

14. Light

15. Bag

16. Accessories

17. System

18. Home

19. Car

20. Handle

Do you think the pattern of frequent terms are just coincidence? Eager to view your opinion in on the comments.

I just had a client tell me that they want to take their products off of Amazon because "big apparel brands don't sell on Amazon". I showed them that Lucky, Calvin Klein, Nautica and Crocs all have strong Amazon experiences, but the client dismissed those examples as "dying apparel brands with nothing left to lose".

It got me thinking, is the client right? I know that Harry's has invested a lot into their Amazon experience, but I can't think of another "big apparel brand" that's investing in Amazon. Anyone have any thoughts here? Just curious and hoping to spark an interesting discussion.