eBook Keywords Analysis: Computers & Technology
Keywords are fast becoming the most important weapon in a publishers arsenal, and as long as books are being primarily discovered by keywords typed into a website’s search bar, keywords will continue to be of the utmost importance. Keywords aren’t just essential for discoverability, they’re also one of the few aspects of discoverability that are secret. Your fully optimized title, subtitle, and description are great – until your competitor sees your book ranking high, and simply copies whatever secret sauce you worked out. Keywords are more personal, so it’s not really an option to ignore them. If you are a publisher that deals with dozens of different book niches (such as myself) keeping on top of each particular niche’s keywords can be a headache and a half. This page and all the other keyword analysis pages we do are to save you time, and improve the quality of your keywords. This general “get up to speed” analysis should be paired with viewing the live up to date keyword information available for free in our keyword research center.
The computers and tech categories can be pretty straightforward to plan your keywords for, if you take it one step at a time. I would start first by hyper-targeting your specific niche into one long tail keyword, and then each keyword try to step a level “up.” For example, if you wrote a book about how to use a Raspberry PI to open your fridge, your first keyword might include “Configuring Raspberry PI To Open Fridge” and then you would expand in your next keyword to a broader/higher level, such as including “single-board computer” with accompanying detail, and then “home robotics + detail” and then perhaps “automation as a hobby” and then even as esoteric as “nerdy projects.” Of course there are a host of other keywords relevant to this example, but I’m just trying to demonstrate the general concept. Start hyper targeted, then hit a broader category each keyword. For some books this will get you all 7 keywords, for others you might run out beforehand. If you’re stuck, think about the following:
Hardware: The physical part of your computer or technology book. Unless you’re writing about something in your mind, you have a physical component.
Location: Is your book more relevant to a US audience, a UK one?
Time/Version: Is your book newer than all the others? Great, advertise that. Technology is one category where you can brag about your book being new, and it will increase sales. Even a year or two is lifetime in tech, and if it’s 2020 and your book is labelled 2020, that is a benefit. If your book is more relevant to past versions or the current version of a certain software or versions of a product, advertise that fact. Increasing relevancy is key. Amazon’s algorithm and all the other major book sellers algorithms reward your book with visibility based on what % of people buy your book when clicking on it for a search time.
Customer: Who is the person you imagine buying your book? Is he a nerd, a college student studying programming, a weekend warrior doing projects at home? Identify this person, and include him in your keywords. People often search for friends and family based on these monikers, and sometimes people even search for these identifiers themselves.
To categorize your book into a sub-category on Amazon, choose your main category, then include the relevant keywords into your keyword sections. Individual keywords can be put anywhere, multiple word category keywords must be alone in their keyword box.
Neither Computers nor Technology have their own main categories. However, there are some (shockingly few, really) keywords for other sections that might be relevant to a Computer/Technology book. To categorize your book into a sub-category on Amazon, choose your main category, then include the relevant keywords into your keyword sections. Individual keywords can be put anywhere, multiple word category keywords must be alone in their keyword box.
Biography & True Accounts/Professionals & Academics/Astronauts = astronaut, apollo, nasa
Business & Money/Technology/Big Data = big data
Business & Money/Technology/Innovation = innovation, innovations, innovating, innovator, innovators, innovate