Ebook sales have been under pressure for various reasons over the past year or so, in particular the digital footprint of the Big Five (E-Book sales abate for Big Five). However, this is still an industry that is finding its feet now that it has moved beyond the heady days of “The Peak of Inflated Expectations.” Publishers flexible enough to respond to the new positioning of the ebook market can still find plenty of opportunity to improve ebook sales revenue by a process of continuous learning using data insights.
For Vearsa customers, 2015 actually yielded a 7% increase in volume ebooks sales compared to 2014, although the earnings result were mixed due to currency fluctuations and a rise in average prices. The following five examples show just some of the areas that publishers harvested for additional earnings.
Don’t get dissuaded by the high-level figures, use your sales data to identify countries that are still situated somewhere along the “peak” part of the ebook curve. For example, the Vearsa combined dataset showed sales volume growth in the following countries:
|Country||% Change 2015 vs 2014|
For some of those countries that experienced growth, here are a couple of trends:
--Canada – Romance (Erotic, Contemporary) have seen large, sustained growth in the past 24 months.
--Germany – Literary Fiction and Action & Adventure are the strong sellers for our publishers. Military History was also strong throughout 2015.
Tweet: Use sales data to identify countries situated along the “peak” part of the ebook curve. http://ctt.ec/Otdad+ @verasa
Look at your average earnings per genre as this can help when developing a pricing strategy that is country specific. For example, the table below shows the Top 3 earning genres in the UK and the US:
|Top Average Earning Genres||UK||US|
|1||Sports & Recreation||Sports & Recreation|
|2||Business & Economics||Science|
|3||Science||Health & Fitness|
So although Fiction is the volume-generator, these non-fiction categories can yield a higher return per unit sold.
Tweet: Use your average earnings per genre to help develop country specific pricing strategy. http://ctt.ec/jSo8d+ @vearsa
At an overall level, the Top 10 genres for our dataset in 2015 were:
There is no surprise in the type of Fiction books that are making the biggest sales (Romance, Science Fiction, Thrillers), but by drilling into the detail we found some other classifications that are making significant inroads such as Cultural Heritage, Short Stories (single author) and Westerns.
With Juvenile Fiction, the top sellers were Action & Adventure and Fantasy & Magic. But Classics were also very strong and point to the importance of looking to backlists for conversion opportunities. School & Education as a topic or setting was also strong.
Tweet: Deep dives in data reveal genre subcategories w/ strong sales numbers often overlooked. http://ctt.ec/_W073+ @vearsa
If your numbers have plateaued then have a look at the distribution paths you are using and see if there is an opportunity to add new retailers. The table below shows the year-on-year movement for Retailers in our combined dataset, the change is based on unit sales:
In a fast moving market, the importance of near real-time data cannot be overstated. Our daily sales figures provided some interesting insights during December and any publisher that saw these trends and had a flexible approach to pricing could capitalise on movements such as:
--200% increase in earnings for Comics & Graphic Novels in December over November figures – the bulk of this came through in the days immediately after Christmas. New tablets or e-readers?
--There was a doubling of sales for Juvenile Fiction, with Action & Adventure and Classics showing the strongest increases.
--Health & Fitness saw a 49% increase, in particular the area of Children’s Health (+71%).
Tweet: Break sales plateaus by looking at distribution paths & add new retailers. http://ctt.ec/nMadK+ @vearsa
This is just a sample of the insights gained from a review of ebook sales data but it shows that opportunities exist, the key is awareness!
Senior Data Analyst at Vearsa
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