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Tuesday, February 18, 2014

Hugh Howey: Why the Decision to Not Self-Publish is "Fatal"

Should you self-publish? The answer, according to Hugh Howey, is a resounding YES!! In fact, he says you'd have to be crazy not to.

In 2014, Howey published an author earnings report that was eye-popping. After crunching the data on 7,000 bestselling e-books on Amazon, he not only discovered that Amazon was doing better than the Big Five, the authors were earning more as well.

The article below contains information about the financial side of self-publishing (with nice graphs and charts!). But not everyone agrees with the conclusions Howey draws. Digital Book World's survey appears to contradict the claim that self-published authors are earning more than those following the traditional route.

(Read survey results HERE.)

You should keep in mind that the data drawn from this sample was for Amazon books only. Amazon is quite successful at marketing its own books, which means ebooks from other publishers will not receive the same amount of publicity. This is also data taken from the authors themselves. Self-reporting is not the best means of collecting data, and neither are data drawn over a short period of time. (For an excellent critique of the Author Earnings Report by Sunita, click HERE.)

Not much has changed since Howey did his analysis. The genres that dominated Amazon's bestseller lists still do. Amazon ebooks still fare better than traditionally published ebooks. But as far as earnings go, there are huge disparities between the top sellers and everyone else. With the sheer number of self-published books on Amazon, the competition is fierce.

While it would be wonderful to have a clear-cut answer to the question "Should I self-publish?" it still comes down to weighing pros and cons. If you are impatient and want complete control over your book, then self-publish. If you are willing to wait, and want the pedigree and editorial guidance of a publisher's imprint, take the traditional route. 

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Author Earnings Report

Written by: Hugh Howey

It’s no great secret that the world of publishing is changing. What is a secret is how much. Is it changing a lot? Has most of the change already happened? What does the future look like?

The problem with these questions is that we don’t have the data that might give us reliable answers. Distributors like Amazon and Barnes & Noble don’t share their e-book sales figures. At most, they comment on the extreme outliers, which is about as useful as sharing yesterday’s lottery numbers [link]. A few individual authors have made their sales data public, but not enough to paint an accurate picture. We’re left with a game of connect-the-dots where only the prime numbers are revealed. What data we do have often comes in the form of surveys, many of which rely on extremely limited sampling methodologies and also questionable analyses [link].

This lack of data has been frustrating. If writing your first novel is the hardest part of becoming an author, figuring out what to do next runs a close second. Manuscripts in hand, some writers today are deciding to forgo six-figure advances in order to self-publish [link]. Are they crazy? Or is signing away lifetime rights to a work in the digital age crazy? It’s hard to know.

Anecdotal evidence and an ever more open community of self-published authors have caused some to suggest that owning one’s rights is more lucrative in the long run than doing a deal with a major publisher. What used to be an easy decision (please, anyone, take my book!) is now one that keeps many aspiring authors awake at night. As someone who has walked away from incredible offers (after agonizing mightily about doing so), I have longed for greater transparency so that up-and-coming authors can make better-informed decisions. I imagine established writers who are considering their next projects share some of these same concerns.

Other entertainment industries tout the earnings of their practitioners. Sports stars, musicians, actors—their salaries are often discussed as a matter of course. This is less true for authors, and it creates unrealistic expectations for those who pursue writing as a career. Now with every writer needing to choose between self-publishing and submitting to traditional publishers, the decision gets even more difficult. We don’t want to screw up before we even get started.

When I faced these decisions, I had to rely on my own sales data and nothing more. Luckily, I had charted my daily sales reports as my works marched from outside the top one million right up to #1 on Amazon. Using these snapshots, I could plot the correlation between rankings and sales. It wasn’t long before dozens of self-published authors were sharing their sales rates at various positions along the lists in order to make author earnings more transparent to others. Gradually, it became possible to closely estimate how much an author was earning simply by looking at where their works ranked on public lists.

This data provided one piece of a complex puzzle. The rest of the puzzle hit my inbox with a mighty thud last week. I received an email from an author with advanced coding skills who had created a software program that can crawl online bestseller lists and grab mountains of data. All of this data is public—it’s online for anyone to see—but until now it’s been extremely difficult to gather, aggregate, and organize. This program, however, is able to do in a day what would take hundreds of volunteers with web browsers and pencils a week to accomplish. The first run grabbed data on nearly 7,000 e-books from several bestselling genre categories on Amazon. Subsequent runs have looked at data for 50,000 titles across all genres. You can ask this data some pretty amazing questions, questions I’ve been asking for well over a year [link]. And now we finally have some answers.

When Amazon reports that self-published books make up 25% of the top 100 list, the reaction from many is that these are merely the outliers. We hear that authors stand no chance if they self-publish and that most won’t sell more than a dozen copies in their lifetime if they do. (The same people rarely point out that all bestsellers are outliers and that the vast majority of those who go the traditional route are never published at all.) Well, now we have a large enough sample of data to help glimpse the truth. What emerges is, to my knowledge, the clearest public picture to date of what’s happening in this publishing revolution. It’s a lot to absorb, but I believe there’s much here to learn.

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The 7k Report

Published: 2/12/2014
Written by: Hugh Howey

It’s no great secret that the world of publishing is changing. What is a secret is how much. Is it changing a lot? Has most of the change already happened? What does the future look like?

The problem with these questions is that we don’t have the data that might give us reliable answers. Distributors like Amazon and Barnes & Noble don’t share their e-book sales figures. At most, they comment on the extreme outliers, which is about as useful as sharing yesterday’s lottery numbers [link]. A few individual authors have made their sales data public, but not enough to paint an accurate picture. We’re left with a game of connect-the-dots where only the prime numbers are revealed. What data we do have often comes in the form of surveys, many of which rely on extremely limited sampling methodologies and also questionable analyses [link].

This lack of data has been frustrating. If writing your first novel is the hardest part of becoming an author, figuring out what to do next runs a close second. Manuscripts in hand, some writers today are deciding to forgo six-figure advances in order to self-publish [link]. Are they crazy? Or is signing away lifetime rights to a work in the digital age crazy? It’s hard to know.

Anecdotal evidence and an ever more open community of self-published authors have caused some to suggest that owning one’s rights is more lucrative in the long run than doing a deal with a major publisher. What used to be an easy decision (please, anyone, take my book!) is now one that keeps many aspiring authors awake at night. As someone who has walked away from incredible offers (after agonizing mightily about doing so), I have longed for greater transparency so that up-and-coming authors can make better-informed decisions. I imagine established writers who are considering their next projects share some of these same concerns.

Other entertainment industries tout the earnings of their practitioners. Sports stars, musicians, actors—their salaries are often discussed as a matter of course. This is less true for authors, and it creates unrealistic expectations for those who pursue writing as a career. Now with every writer needing to choose between self-publishing and submitting to traditional publishers, the decision gets even more difficult. We don’t want to screw up before we even get started.

When I faced these decisions, I had to rely on my own sales data and nothing more. Luckily, I had charted my daily sales reports as my works marched from outside the top one million right up to #1 on Amazon. Using these snapshots, I could plot the correlation between rankings and sales. It wasn’t long before dozens of self-published authors were sharing their sales rates at various positions along the lists in order to make author earnings more transparent to others [link] [link]. Gradually, it became possible to closely estimate how much an author was earning simply by looking at where their works ranked on public lists [link].

This data provided one piece of a complex puzzle. The rest of the puzzle hit my inbox with a mighty thud last week. I received an email from an author with advanced coding skills who had created a software program that can crawl online bestseller lists and grab mountains of data. All of this data is public—it’s online for anyone to see—but until now it’s been extremely difficult to gather, aggregate, and organize. This program, however, is able to do in a day what would take hundreds of volunteers with web browsers and pencils a week to accomplish. The first run grabbed data on nearly 7,000 e-books from several bestselling genre categories on Amazon. Subsequent runs have looked at data for 50,000 titles across all genres. You can ask this data some pretty amazing questions, questions I’ve been asking for well over a year [link]. And now we finally have some answers.

The Value Ratio

I’m going to start with some of the smaller lessons to be gleaned from this data. We’ll conclude this report by looking at author earnings, but I don’t want that bombshell to drown out these equally important observations.

The first thing that jumped out at me when I opened my email was these next two charts, which our data guru had placed side-by-side. What caught my eye was how they seem to be inversely correlated:


On the left, we have a chart showing the average rating of 7,000 bestselling e-books.1 On the right, we have a chart showing the average list price of the same 7,000 e-books. Both charts break the books up into the same five categories. From the left, they are: Indie Published, Small/Medium Publisher, Amazon Published (from imprints like 47North), Big Five published, and Uncategorized Single-Author.

It’s interesting to me that the self-published works in this sample have a higher average rating than the e-books from major publishers. There are several reasons why this might be, ranging from the conspiratorial (self-published authors purchase their reviews) to the communal (self-published authors read and favorably rate each others works) to the familial (it’s friends and family who write these reviews). But the staggering number of reviews involved for most of these books (over a hundred on average across our entire sample) makes each of these highly unlikely. As I’ve seen with my own works—and as I’ve observed when watching other books spread organically—the sales come before the reviews, not after. There are a number of more plausible explanations for the nearly half a star difference in ratings, and one in particular jumped out at me, again from seeing these two charts next to one another.

Note the shortest bar in one graph correlates to the tallest in the other. Is it possible that price impacts a book’s rating? Think about two meals you might have: one is a steak dinner for $10; the other is a steak dinner that costs four times as much. An average experience from both meals could result in a 4-star for the $10 steak but a 1-star for the $40 steak. That’s because overall customer satisfaction is a ratio between value received and amount spent. As someone who reads both self-published and traditionally published works, I can tell you that it’s getting harder and harder to tell the difference between the two. Most readers don’t know and don’t care how the books they read are published. They just know if they liked the story and how much they paid. If they’re paying twice as much for traditionally published books, which experience will they rate higher? The one with better bang for the buck.

This raises an interesting question: Are publishers losing money in the long run by charging higher prices? Are they decreasing the value/cost ratio and thereby creating lower average ratings for their authors and their products? If so, this might have some influence on long-term sales, and keep in mind that e-books do not go out of print. What if in exchange for immediate profits, publishers are creating poorer ratings for their goods and a poorer experience for their readers? Both effects will hurt a work’s prospects down the road (a road with no end in sight). And since ratings on e-books also apply to the physical edition on Amazon’s product pages, this pricing scheme ends up adversely affecting the very print edition that higher e-book prices are meant to protect.

It is common these days to hear that the quality of self-published work is hurting literature in general. I counter this notion with one of my own: Pricing e-books higher than mass market paperbacks used to cost is having an even more deleterious effect on reading habits. Books are not only in competition with each other, they compete with everything else a reader might do with their time. Creating a poor experience is a way to lose readers, not a way to protect a physical edition or a beloved bookstore. And high prices are a quick and easy way to create a poor reading experience, harming everyone.

High prices are also a way to drive customers to other, less expensive books. Rather than serving to protect print editions, publishers are creating a market for self-published works. And harmful price practices is not the only way the Big Five are powering the self-publishing revolution. Next, we’re going to look at some sales numbers within these genre bestseller lists to see how underserving a high-demand market has resulted in the creation of a brand new supply of books.  

You can find the rest of this report on the Wayback Machine HERE.











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