Excel Formula To Add Hours And Minutes To A Time Amazon: What Does the Amazon Sales Rank Mean and is It Significant?

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Amazon: What Does the Amazon Sales Rank Mean and is It Significant?

The simple answer is that it means different things to different people, but I’ll elaborate.

If you are an Amazon.com customer and you are browsing the “product description” of a particular book, you can interpret the Amazon.com sales-record as a measure of that book’s popularity. The lower the Amazon.com sales rank number, the more popular the book is, as determined by the number of recent sales of that title through the Amazon.com marketplace. This is true in general, but if you really want to know the popularity of a specific title, you also need to consider the publication date and how long it has been marketed on Amazon.com. For example, a book with a sales-rank of 100,000 on Amazon.com that is released and marketed on Amazon.com for only a few days may become very popular in the near future and reach the top ten. The fact that it’s currently only ranked at 100,000 is a little misleading because the timeframe it’s ranked in isn’t really long enough to measure true popularity.

For a bookseller, Amazon.com sales rank is often related to how quickly a particular title can sell. A book with a very low Amazon.com rank can be expected to sell within minutes or hours of being listed, and a book with a sales rank of 4,000,000 may take several years to sell. The analogy is often used by booksellers looking for books to add to their inventory. If a bookseller finds a book with an online price of $10, Amazon.com has a sales rank of 2,105,878, and he is faced with a purchase for $4, they are apt to pass, but if the sales rank was 45,017, this. Suddenly there might be a book worth adding to their list.

When looking for books, I look in the Amazon.com sales category for high-priced books because I don’t want to stack too many logs on my shelves, but it’s definitely not the method I use for most book purchases. The scientist in me wanted to know more, so I compiled Amazon.com rank data on thousands of books I’d sold, using Amazon.com rank at the time I bought them and the time I sold them, respectively. Being an engineer, I had to collect and torture data to see if there was any correlation between Amazon.com’s sales rank and the time it took to sell a book. Indeed, at least in my experience it has, and fitting a curve to the data yielded a correlation coefficient of 0.93. The goodness of fit to the data is particularly evident in the semi-logarithmic plot.

So, you see, Amazon.com sales rank makes sense.

It is a measure of the book’s popularity for book buyers.

For a bookseller, this is a measure of how quickly a book can sell or whether the book is just firewood.

For an engineer, it’s just a bunch more data that can be tortured into a confession of sorts.

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