Kindle Publishing 2019 - How Does Amazon Rank Your Books? - Amazon Algorithm Explained
About this video
Sean, crediting material he studied from Nick Stevenson, explains how he understands Amazon decides which books to show at the top of search results. The factors he lists are sales, popularity including sales price, relevance to the searched keyword, reviews, metadata, conversion rate, publication date, and sales history. Metadata means the title, subtitle, the seven keywords chosen at upload, and categories. Conversion rate is the share of product-page visitors who buy, so ads, title, cover, and description all need to be aligned around the same promise. He warns against keyword stuffing irrelevant profitable terms into a subtitle — for example putting vegan diet and Paleo diet on a ketogenic diet book — because searchers for those terms will not buy, which signals irrelevance and drops the book. New books get a boost for about 30 days, and he says slow, consistent sales are better than sudden spikes for staying on page one. The buyer path he outlines is keyword search, cover, title, reviews, then description, so all of those elements must be congruent.
Key takeaways
- Amazon ranking factors Sean lists include sales, price/popularity, relevance, reviews, metadata, conversion rate, publication date, and sales history
- Keep title, subtitle, seven keywords, and categories tightly relevant to the book’s actual topic
- Do not keyword-stuff unrelated profitable keywords, as non-buying clicks hurt relevance and conversion
- Align ads, cover, title, and description so visitors who click are likely to buy
- New books get a boost for about 30 days, and consistent daily sales help a book stay on page one longer than spikes
Episode details: published January 3, 2019 · 12:56 long. Summary written by Self Growth Videos from the episode itself. Business results and any income figures mentioned are Sean Dollwet’s own claims, shared for education — they are not typical or guaranteed.
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