Don’t worry. There’s no math. We won’t talk numbers because
at the most basic level an algorithm is merely a set of rules used by a search
engine to solve a problem. At a more advanced level, it’s code to tell how to
sort and load product lists in response to a query. They’re not scary. You may
even have used one today. Every time you
type a question or search an item on sites such as Google or Amazon it is the
algorithm that supplies the answer, not some gnome living in the laptop. Google
uses algorithms to scour websites for information. The Amazon algorithm does
internal searches on its pages, but whether you’re looking for a vacation
rental from one or a romance book from another, the basic process is the same. Using
a programmed set of steps, a search engine retrieves results that the algorithm’s
code says most closely matches the query.
Where did the Amazon algorithm come from?
Not some alternate dimension, but Palo Alto, California from
an Amazon company called A9. The process to develop an algorithm starts by
analyzing data in a catalog of information; in the case of Amazon, it’s the
product description and keywords on the website. Descriptive text for every item
is indexed, meaning scanned for certain words and phrases. The algorithm is
also written to check past traffic patterns for you and others who searched for
similar information to the query. It then ranks them and returns the results. As
you type in keystroke after keystroke, the algorithm is already trying to determine
what you want. This is why when you’re hunting for a fantasy, by the time you
type in f-a-n-t, the drop down box appears with preliminary results and, son of
gun, one of them is fantasy.
The better the algorithm understands the meaning of a query,
the more able it is to retrieve accurate results. To that extent, algorithms
examine the words and even the meaning behind those words. If a customer on
Amazon types in the search box Texas
barbecue, the algorithm first checks to see how many categories it can
locate. It sees two; Texas and barbeque, and then works to bring up results that
match both by scanning product descriptions. A well-written search algorithm is
so strong it can even adapt to misspellings and offer suggestions for
additional words. Amazon also keeps track of your buying habits so the
algorithm can anticipate desires. This is why you get those helpful emails that
start “Based on your recent visit, we thought you might like…” It tracks not
only purchases, but also clicked items that caught your eye.
What does this mean for the Amazon
sales rank?
The information Amazon uses to suggest
products during a search is based on terms in product descriptions from the
catalog. For books, that means the blurb next to the book cover and the key
words, but those aren’t the only factors. The algorithm also checks sales rank
and that’s more complicated because rankings are always done in relation
to competitors in the same category. If a book’s sales rise, that knocks down
others in the same category. One rank goes up, books close to it in
rank go down. Ranking is also related to purchase time. Recent sales boost a
book’s rank, so does a temporary price drop but the effect quickly fades
because the algorithm also favors steady sales over dramatic surges.
What about those dreaded reviews?
Reviews on Amazon only count in rank if from a verified sale.
Gifting a book is nice, but only helps sales rank if the gift is redeemed within
24 hours. The algorithm also gives more weight to newer reviews, reviews from
verified Amazon purchasers, and reviews voted as helpful by other customers.
Price has no effect on sales rank. Enrollment in KDP Select or Kindle Unlimited
won’t confer any additional advantage. While books don’t receive an added boost
in rank, downloads through Kindle Unlimited and Kindle Online Lending Library
are treated as sales. Pre-orders also count as immediate sales which is why
publishers love them.
What’s the myth of high sales and rank?
High sales rank doesn’t guarantee high placement in search
results. Surprisingly, sales rank isn’t the only determinant. Other factors
include relevance, keywords, sales history, product description, and available
inventory, so a book with high sales rank may appear later in search results
than lower-ranked books. How can you help your book along? Techie experts offer
the following advice.
- Have a well-written description.
Use keywords in the book description, but not more than once because this can look like keyword stuffing. Amazon frowns upon the practice and you can get dropped in the ranks.
- If a reader with a verified sale lets you know they liked the book, ask them to leave a review.
If you gift a book ask the recipient to retrieve it immediately or it won’t count in the sales rank.
About the Author
L. A. Kelley writes sci-fi and fantasy adventures with humor, romance, and a touch of sass. The A in her name does not stand for Algorithm although she wishes it did because that would be cool. Check out her Amazon Author page.
7 comments:
Wow- what an informative post. Thank you so much!
That's great info!
How dare you cast aspersions against the gnome living in my laptop! (But thanks for the fascinating info...and for the story idea!) ;) Also, a gnome wrote this comment.
What super info. Thanks for posting. I think Jane's got it right about the gnome, though.
Sounds more like a game of caards where you need to keep shuffling. Sigh.
You really describe better for Amazon algorithm. Yes, Amazon track us and we need to do all SEO stuff in under of A9 algorithm to increase the visibility of our product in search result. Go for full article for Amazon SEO: https://bit.ly/2CLOjYJ
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