Publishing

Amazon KDP Algorithm Changes: What Authors Must Know

Estimated reading time: 5 minutes

Amazon's product recommendation algorithms — particularly the A9/A10 algorithm that governs book discovery — are among the most important and most misunderstood forces in self-publishing. Understanding how they work can mean the difference between a book that's consistently discovered organically and one that requires constant paid promotion to stay visible.

How Amazon's Book Algorithm Works

Amazon's algorithm is fundamentally a relevance engine with a conversion weighting. It asks two questions about every book listing: "Is this book relevant to what the searcher is looking for?" and "Does this book, when shown, actually get purchased?" Books that score well on both dimensions get more organic visibility. Books that are relevant but don't convert get progressively less exposure.

The Factors That Drive Amazon Ranking

Sales velocity: How many copies are selling in a given time period. This is the dominant ranking signal. A book that sells 50 copies in a week will outrank a book with 500 total sales if the latter has slowed to 3 copies a week.

Keyword relevance: Whether your book's title, subtitle, backend keywords, and description match what users are actually searching. Use Amazon's autocomplete function to find exact search terms real users are typing.

Customer reviews: Volume, average rating, and recency of reviews all influence ranking. Amazon weights verified purchase reviews more heavily than unverified reviews.

Click-through rate: Whether your book, when shown in search results, actually gets clicked. This is primarily driven by your cover design and title — the elements visible in a thumbnail.

Conversion rate: Whether clicks on your listing result in purchases. This is driven by your book description, your reviews, your look inside preview, and your pricing.

Algorithm-Optimized Book Setup

When you upload your book to KDP, these are the algorithm-critical elements to optimize:

  • Title and subtitle: Include your primary keyword naturally
  • 7 backend keywords: Use the full 50-character space for each; don't repeat words from your title
  • 2 BISAC categories: Research which categories have the most relevant, reachable competition for your book
  • Book description: Optimized for both human readers and keyword relevance

Read our full guides on KDP keyword strategy and Amazon book categories. Ready to publish with algorithmic optimization built in? Talk to our team.