Uncovering Amazon's Hidden Keywords: A Step-by-Step Guide
In the vast digital marketplace of Amazon, understanding how to optimize your book's visibility is crucial. One key strategy lies in identifying successful keywords that can attract potential readers to your book.
Amazon takes several factors into account when deciding where to show a book, including the book's description, categories, and other relevant information, as well as matching phrases that fit the book and are of interest to their shoppers. The platform also monitors a book's performance for certain phrases using historical sales data [1].
To uncover the successful keywords used by other books on Amazon, you can make use of specialized Amazon KDP keyword research tools such as Book Beam, Kumo Amazo, and SellerApp. These tools analyze competitors’ data and Amazon search behaviour, revealing keywords other books rank for, bestseller ranks, daily sales estimates, and trending topics. They also provide expanded keyword suggestions based on real Amazon searches [1][3].
Another effective method is to leverage Amazon’s own search bar autocomplete feature by typing relevant seed keywords. This feature suggests search terms frequently used by shoppers, indicating high search volume and relevance [2]. Clicking on competitor book listings to check their Amazon Best Seller Rank (BSR) helps verify if those keywords translate into actual sales [2].
Platforms like SellerApp offer a detailed Amazon keyword research tool that combines search volume trends, competitor analysis, keyword difficulty, and purchase behaviour data. This tool filters profitable keywords by factors like competition, cost-per-click, and seasonality, helping you identify highly converting keywords used by top-selling books [5].
Knowing which keywords actually helped a book make sales is more beneficial than knowing the keywords entered in the 7 KDP boxes. Amazon expands a book's visibility on more keyword phrases if it performs well for a specific keyword phrase [1]. Conversely, if a book does not perform well for a keyword phrase, Amazon may remove the book from showing up for that phrase or reduce its rankings for that keyword phrase.
A useful tool for analysing a book's performance and the keywords it shows up for is Publisher Rocket's Reverse ASIN feature. This feature shows a list of keyword phrases a book has shown up for on Amazon that are good keywords [1].
In summary, to figure out successful keywords from other books, apply them for maximum benefit, and understand how Amazon uses keywords, consider using a combination of Amazon keyword research tools (Book Beam, Kumo Amazo, SellerApp), Amazon autocomplete suggestions from the search bar for relevant keyword brainstorming, and analysis of competitors’ Amazon Best Seller Ranks and listings to validate keyword profitability [1][2][3][5]. By doing so, you can optimize your book's visibility and increase its chances of reaching potential readers on Amazon.
References: [1] Amazon Keyword Research: The Ultimate Guide for Amazon Sellers - SellerApp (https://sellerapp.com/blog/amazon-keyword-research/) [2] How to Find Profitable Amazon Keywords: A Comprehensive Guide - Jungle Scout (https://www.junglescout.com/blog/amazon-keyword-research/) [3] The Ultimate Guide to Amazon Keyword Research - Helium 10 (https://www.helium10.com/blog/the-ultimate-guide-to-amazon-keyword-research/) [5] The Best Amazon Keyword Research Tools in 2022 - AMZFinder (https://www.amzfinder.com/blog/best-amazon-keyword-research-tools/)
The publisher Rocket's Reverse ASIN feature can help analyze a book's performance and the keywords it shows up for, contributing to understanding successful keywords used by other books on Amazon. To further enhance this understanding, one can leverage technology like data-and-cloud-computing platforms, such as SellerApp, which offer detailed Amazon keyword research tools that utilize data-and-cloud-computing to analyze competitors' data, Amazon search behavior, and provide expanded keyword suggestions based on real Amazon searches, as well as filter profitable keywords by factors like competition, cost-per-click, and seasonality.
