Jellybooks is an amazing company which analyzes the reading habits of book readers and disseminates this information to its book publisher clients. Whether it be the demographic of the reader or whether or not they stop reading on page 17, they offer a wide-range of data for their clients.
They do not, however, accept everyone. Imagine the uses a savvy author could have knowing their readers’ feedback, not from what they say, but from the habits their data shows.
As a KDP-Select author, you are able to see how many pages total a book has received across your titles and even the date those pages read increased or decreased if you are enrolled in Kindle Unlimited, but not much else.
Knowing that everyone stops reading on Chapter 12, tells you that may have to work on that chapter or the chapters before it to keep reader interest. To know that your readers read mostly at night could affect creative decisions within the story, or to know that your readers are mostly women over 45 that live in Wisconsin, may inspire you to create a character that they can relate to.
There is a way to do this type of analytic yourself and it costs next to nothing. Though there may not be as diverse of data available as Jellybooks offers its clients, the information you can gather will blow you away.
No, you do not need to wait until Jellybooks or any other startup comes along or for Amazon to finally open up its data to authors enrolled in KDP. You can do the same yourself, or hire someone inexpensively from Fiverr, Upwork or Elance to set things up for next to nothing (Less than $50).
5 STEPS TO USING ANALYTICS FOR YOUR BOOKS:
1) Use WordPress for your website.
2) Install a Google Analytics plugin.
3) Paste one chapter per page.
4) Promote your link on your social media.
5) Check your analytics.
With my data, I was able to tell not only what areas of the world most of readers lived, but that 95% of my readers who got to Chapter 2 in my book continued reading to the very last chapter. That verified to me that I had written a page turner.
What will your analytics tell you?