There’s a $3 Sweet Spot For eBooks, But $6 eBooks Earn More – Smashwords

There's long been a debate about the best price for ebooks, but very rarely has anyone ever released real market data which would answer the debate.

The major publishers believe that more is better, and there's a solid group of indies who think that there is no floor to the price of ebooks, but if there is they want to find it.

Who's right? I don't know, but some data recently released by Smashwords sheds light on this turbulent topic. Smashwords is the largest self-pub ebook service in the world with over 100 thousand titles from 30 thousand indie authors and publishers.

I'm pointing out that statistic because it's what makes Smashwords a case study for ebook pricing which cannot be duplicated elsewhere (outside of Amazon). The vast number of independent actors and their offerings gives Smashwords to mimic a pint-sized version of the ebook market as a whole.

It's been quite some time since Smashwords last released data on how prices drive sales (2010, I think), but it was well worth the wait. Mark Coker, founder of Smashwords, gave a talk at a romance conference a few weeks back this specific issue. The slides are available online, and I've been taking looking them over this afternoon.

There's an awful lot of useful info in the slides, but here is the money shot. The following chart shows the average number of sales per title based on the price point. Example: An ebook priced below a buck will sell 5.9 times as many copies as one price at $10 or above.

Note the second spike at the $2.99 price point. Interesting, no?

Consider what happens if you take one of those $10 ebooks that the major publishers fear so much and mark it down to $2.99. It will sell more than 6 times as many copies and make 86% more per title.

But there's a lot more to the slides. For example, Mark also plotted the average length of ebooks vs the number of copies sold. Smashwords' bestsellers (the top 50) generally averaged a length that was over 100, 000 words.

What's even more interesting was that the top 40 bestsellers in the romance category averaged less than 65 thousand words. Clearly romance readers like their ebooks short and sweet.

I'd like to share one last detail with you before kicking off. A later slide had data which showed was that the $5.99 price point might generate the most income. The following chart shows the relative yield per title for each price point. Not where the spike is.

While I would still prefer to see a $3 ebook, clearly there's another sweet spot higher up the price chart.


8 thoughts on “There’s a $3 Sweet Spot For eBooks, But $6 eBooks Earn More – Smashwords

  1. Thanks for that information. I’ve gone for 2.99 for my latest ebook – looks like that was a good choice!
    Personally I’d be reluctant to pay 5.99 for an ebook but it’s interesting to see that it’s the most profitable for authors.
    Possibly the longer books are more popular because readers perceive value-for-money?

  2. The yield numbers are consistent with BAEN’s Webscription prices: $6 as singles and ~$3 in the monthly bundles.
    They also are consistent with what is known of Amazon pricing; the floor for the 70% royalty is $3 and the average price of the entire catalog runs in the $6-7 range.
    (That $3-6 range is pretty much where all my commercial ebook buys lie. I’ll buy the odd $0.99-1.99 title but most of what interests me runs there.)

    The BPHs are doing small and medium publishers a big favor by providing such a big pricing umbrella and “donating” all that market share in the name of protecting “perceived value”. :D

  3. The last chart doesn’t say anything at all – even without fancy data mining, everyone knows that 70% of 2.99 is smaller than 70% of 5.99. The real deal breaker is the cumulative amount of money an author can aim for, and that means sales*royalty, which for 2.99 is (I’m taking sales measurements from the 1st chart):
    6.2x*(0.7*2.99) = 12,97x
    and for 5.99 is:
    2,2x*(0.7*5.99) = 9,22x
    and (just to be fair) for 0.99:
    5,9x*(0.3*0.99) = 1,75x
    So, basically, 2.99 IS the best choice when you look at the data correctly.

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