or Just Another Sparring Partner?

by Susan Watts

The name most often invoked in those conversations is the Amazon A11 algorithm, the system Amazon uses to rank, display, and recommend books within its marketplace. It determines which titles appear in search results, category rankings, and recommendation feeds based on customer behavior.

Amazon does not publish a detailed manual explaining exactly how it works yet publishing analysts and retail observers have studied its patterns closely enough to recognize how visibility behaves over time.

One distinction has become clear.

The Amazon A11 algorithm is not a publishing algorithm designed to evaluate art. It is a retail algorithm designed to evaluate buying behavior. That difference shapes everything that follows.

Amazon’s objective is not to reward literary depth or artistic ambition. Its aim is to show customers products they are likely to purchase and enjoy. Once that truth settles in, the system feels less like an invisible adversary and more like a sparring partner, revealing how well your book aligns with shopper expectations.

Let’s examine three persistent myths that continue to circulate around the Amazon A11 algorithm.

Myth #1: There Is a Secret Code Only Insiders Understand

The idea that a hidden formula exists and is accessible only to elite authors is strangely comforting. If the system is mysterious, then visibility problems must be beyond our control. Frustration feels justified.

But long-term observation of Amazon’s retail platform suggests something far more practical. Visibility tends to follow two pillars: relevance and performance. Relevance concerns the alignment between what your book signals and what a reader is searching for. Performance concerns what readers actually do once they encounter your book.

Category accuracy, keyword clarity, genre signals on your cover, and blurb precision all contribute to relevance. Performance is determined by how readers interact after clicking and buying, including their continued engagement, series advancement, and overall satisfaction preventing product returns.

For any author building a long-form series, this becomes immediately tangible. When the first book clearly communicates its tone, its level of danger, its emotional intensity, and the conventions it embraces, the right readers recognize themselves in that promise. They click because it feels familiar. They buy because it matches what they were seeking. They continue because the experience fulfills the expectation that drew them in. When those signals blur, even strong storytelling struggles to overcome the mismatch.

There is no secret code. There is positioning. Your book’s position in the marketplace isn’t random, and it’s not fixed. With deliberate thought and strategy, you can look at how your book is currently presented, make purposeful changes, and improve how clearly it aligns with reader expectations.

Myth #2: Amazon Is Punishing Independent Authors

When rankings decline after a launch spike, the experience can feel personal. You invested time, discipline, and emotional energy. Watching that work drift downward can feel like judgment.

Yet the Amazon A11 algorithm does not measure effort. It measures response.

A launch period gives Amazon concentrated data. If conversion remains strong after the initial surge, visibility stabilizes. If conversion weakens, exposure shifts toward products that are currently showing stronger buyer behavior. This is how retail systems allocate attention.

In martial arts, when a technique fails repeatedly during sparring, the exchange reveals an issue with timing, distance, or structure. This allows for adjustments and corrections to be made to fix the problems.

When visibility declines, the question becomes whether the book is converting the traffic it receives. If readers are arriving but not purchasing, the signals may need refinement. If they purchase but do not continue, the story may need strengthening.

Myth #3: Reviews Are the Primary Ranking Lever

Reviews matter, but not in the exaggerated way many authors assume. Their greatest influence lies in how they affect conversion. A large number of reviews does not automatically guarantee strong visibility if reader behavior does not support it.

What appears to carry greater weight within the Amazon A11 algorithm is what happens after discovery. Do clicks become purchases? Do purchases become completed reads? Do completed reads become continued engagement with the series? That pattern communicates satisfaction far more clearly than review count alone.

For authors writing interconnected stories, this is especially significant. When readers move naturally from one book to the next, they remain immersed in the narrative world. That continuity sends a powerful signal of a fulfilled promise and a worthwhile experience.

What The Amazon A11 Algorithm Actually Reflects

Despite Amazon’s lack of transparency regarding exact weighting, publishing trends suggest the Amazon A11 algorithm consistently reacts to measurable behavior. Conversion rate reveals how well your packaging aligns with expectation. Sales velocity indicates whether demand is steady rather than fleeting. Series read-through demonstrates narrative cohesion. Customer behavior such as returns or follow-on purchases shows satisfaction. Engagement within subscription models reflects the depth of reader commitment.

What is noticeably absent from that behavioral landscape is any subjective evaluation of artistic ambition. Amazon operates as a data-driven retail platform. It favors products that customers repeatedly show they want.

When your book aligns clearly with readers’ expectations and delivers an experience that encourages continued engagement, visibility increases over time. When alignment falters, exposure adjusts accordingly.

So, Is the Amazon A11 Algorithm Fact or Fiction?

The Amazon A11 algorithm is real. The mythology surrounding it is exaggerated.

The Amazon A11 algorithm is not a shadowy gatekeeper deciding which authors deserve success. It is a feedback mechanism that measures readers’ responses to the content presented to them. That feedback can feel uncomfortable, yet it is also actionable.

You cannot control the algorithm directly. You can, however, control the signals you send through genre clarity, promise precision, series consistency, and strong narrative transitions between books. Those are structural decisions which compound over time in the same way disciplined footwork strengthens a martial artist.

When approached with that mindset, The Amazon A11 algorithm stops being a rumor to fear and becomes a system to understand. It highlights where alignment is working and where it needs refinement. For authors willing to examine their positioning with the same scrutiny they bring to craft, that understanding becomes not a threat, but a tool.

About Susan

Under the pen name Michelle Allums, Susan Watts has authored a young adult urban fantasy titled, The Jade Amulet and is currently writing the sequel. Her short stories are also included in the anthologies Christmas Roses and Forever and Always.

Susan has dedicated over four decades to training in multiple martial arts styles and holds the impressive title of a five-time US Karate Alliance world black belt fighting grand champion. Through her karate school, she is able to impart martial arts and life skills. Susan also incorporates her martial arts knowledge into her writing.

An avid triathlete, she keeps in shape by running, biking, and swimming. She lives in the country with her husband, where they raise animals and enjoy being outdoors. Susan also has three grown children and numerous grandchildren. In addition, she is a CPA and VP of finance for a company in her hometown. 

You can connect with Susan on social media or her website.

Feature picture by Pixabay.