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Andrew Rhomberg (Jellybooks) at Publishers' Forum Berlin 2017

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Reader Analytics oder Leser besser kennen lernen - a story of collaboration in publishing presented by @arhomberg of @jellybooks

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Andrew Rhomberg (Jellybooks) at Publishers' Forum Berlin 2017

  1. 1. Reader Analytics Leser besser kennen lernen! A story of collaboration presented by @arhomberg founder of @jellybooks
  2. 2. 2 Three years ago, on a grey and foggy morning in London’s East End…
  3. 3. 3 It all started with a collaboration between Innovate UK, a part of the UK government that sponsors research and development, and Penguin Random House UK. The two came together and jointly sponsored a competition for start-ups to come up with new ideas to a specific challenge in book publishing. +
  4. 4. 4 Amazon gives us no data, so is there a way for publishers to collect reading data from 3rd party reading apps so publishers can get to know their readers better? The Penguin Challenge:
  5. 5. 5 „Google Analytics für E-Books” ebook + candy.js tracking 1-click sync analytics
  6. 6. 6 Involve the reader in the process!
  7. 7. 7 How and how fast do they read? Reader A Reader B Reading time: 24 hours Velocity: 9 days Reading time: 18 hours Velocity: 27 days
  8. 8. 8 Do Readers Finish the Books they start? 0% 20% 40% 60% 80% 100% F 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 B B B
  9. 9. 9 0% 20% 40% 60% 80% 100% F 1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73 B … or do they quit in droves?
  10. 10. 10 45% -11 28 d 56 14 d 65%Completion Rate Net Promoter Score Velocity Sold units (eBook) Sold units (PB) 3.000 18.000 45.000 135.000 Audience Insights Can Predict Sales!
  11. 11. 11 A|B Cover test • Pulling Power Does the cover elicit interest? • Signaling What expectations are raised? • Honesty Does it deliver on its promise? How to Pick the Right Cover?
  12. 12. 12 Case Study: 5 Titles – 1 was A|B tested
  13. 13. < 13 13–17 18–25 26–35 36–45 46–55 56–65 66–75 > 75 1. Cover A was 37% more likely to be chosen and this preference held for every age group. 2. The book with cover A was finished sooner (3 days earlier) than the book (same content!) with cover B. 3. Most importantly though, the recommendation factor was more than twice as high for cover A compared to cover B. Cover A Cover B
  14. 14. 14 F F 1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 B B F F 1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 B B Completion Rates Almost Identical
  15. 15. 15 Reader analytics also facilitates the collaboration between author and publisher
  16. 16. 16 Multi-publisher Reader Analytics Campaigns
  17. 17. 17 Supported Reading Applications iBooks (Apple) – Bookshelf (Vitalsource) – Bookvia (Datalogics) Digital Editions (Adobe) – Ebook Reader (ebooks.com) – Bookari (Mantano) Cloudshelf Reader (Bluefire) – Media Console (Overdrive) – Azardi (Azardi)
  18. 18. 18 Tolino & Kobo reading apps are not yet supported, due to issues with ePub3 support.
  19. 19. So in the spirit of collaboration, we ask Michael Tamblyn of Kobo: Help us help publishers to get to know their readers better. 19
  20. 20. 20 Book Candy for Readers Data Candy for Publishers

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