Keyword Inspector vs AmzChart
Keyword Inspector
Keyword Inspector – The original reverse ASIN lookup & Amazon keyword research tool.
KeywordInspector is a suite of individual tools to help you, the Amazon Seller, gain an advantage over your competition. While each tool is separate, you can rely on multiple tools at once to help you find/sell/optimize more products, faster on Amazon.com, it’s almost like a Sonar Tool for Keywords.
The best Amazon Keyword and Merchant Words Tool now with the most Accurate Search Volumes! Find Keywords with an ASIN, know what Keywords are Trending on Amazon, and find Products with KIPRT our enterprise-level Product Research Tool. Search a database of 47 Million Amazon SEO Keywords that you can use for your PPC Ad Campaigns and Product Listings on Amazon.
AmzChart
AmzChart- Best Amazon BSR product research tool. AmzChart has helped 2000 Amazon merchants to increase their revenue! Currently, AmzChart is completely free for sellers to use. The initial team’s goal is to help Amazon’s millions of sellers improve efficiency and help them find niche products.
Keyword Inspector | AmzChart | |
Amazon Keyword (Trends) Research | ✅ | developing… |
311+ Million Amazon Only Keywords | ✅ | developing… |
More than 1.000 Million+ Products found on Amazon | ❌ | ✅ |
Get Estimated Sales Volumes for any product or niche on Amazon | ✅ | ✅ |
Shows Seasonality and Demand for any product on Amazon | ✅ | ✅ |
Know how Saturated a Niche is, and whether you can compete | ✅ | ✅ |
Know how prices, review counts, and ratings are trending for products/niches using our Historical Data Graphs |
✅ | ✅ |
Find Related Products in a niche | ✅ | ✅ |
More than 2.000 Sellers | ❌ | ✅ |
Total Products More Than 100 Million | ❌ | ✅ |
Price | $39.95👎 | Free👍 |
These two tools have their own specialties. The first tool is more professional in the research of Amazon’s keywords, and the second tool is more professional in the research of Amazon’s products being sold. If you are a seller, I suggest you two tools All can be used.
It is enough to learn from each other to improve the efficiency of product selection.