Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Jellybooks on Reader Analytics - Publishing Perspectives (Frankfurt Book Fair 2016)

248 views

Published on

An introduction to reader analytics for self-published authors by Andrew Rhomberg of @Jellybooks on the Publishing Perspectives stage at Frankfurt Book Fair 2016, moderated by Porter Anderson.

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Jellybooks on Reader Analytics - Publishing Perspectives (Frankfurt Book Fair 2016)

  1. 1. 1 Reader Analytics there is a story behind every book presented by Andrew Rhomberg @arhomberg @jellybooks ©Antonio Roselló
  2. 2. Part I Why care?©Li Dandan
  3. 3. The Unknown Reader… 3 Despite the digital transformation of the publishing industry, authors & publisher still cannot measure reader engagement! Do consumers read the books they buy?
  4. 4. It doesn‘t really matter, does it? 4 If readers buy and pay for books (revenue) does it matter if they read them or not (engagement)? Ah, but are you as author selling bit & bytes or • entertainment, • inspiration, and • self-improvement?©Frederic Bordoni
  5. 5. One Killer Reason: why you should care! Readers who don’t finish a book are 10x – 100x less likely to recommend a book to friends, family, colleagues or tweet, like and snapchat it… @Jellybooks @arhomberg 5
  6. 6. Engineering Virality 6 Discover Sample BuyRead Share
  7. 7. Part II How to Collect Reading Data?
  8. 8. 8 Amazon, Apple & Google collect vast amounts of reading app/device data, but don‘t share this with publishers. @Jellybooks @arhomberg
  9. 9. “Google Analytics for Ebooks” 9 1. Modified ebook (ePub3 format) distributed to users, who read on their existing reading device or app 2. Embedded Javascript software tracks (offline) reading 3. Readers click on button at end of chapter/end of ebook to upload/sync data to Jellybooks 4. Data Visualisation for Author/Agent/Publisher
  10. 10. Readers use familiar Apps Participating readers can use reading apps and devices they are already familiar with: 10 iBooks iOS ADE Windows Ebook Reader Android @Jellybooks @arhomberg
  11. 11. Data Collection from 3rd Party Apps 11 iBooks Vitalsource Adobe Digital Editions Ebook Reader Mantano Azardi Overdrive Bluefire Cloud- reader iOS - - Android - - Kindle Fire - - - - - - - Windows - - - - - @Jellybooks @arhomberg
  12. 12. 12 3 = HTML 5 + CSS 3 + JS A key feature of ePub 3 is the support for Javascript, as well as HTML5 support for offline storage of data.
  13. 13. ... and the data connection? Engage readers! When the reader clicks on a link at end of chapter/book (styled as a button), a data connection with Jellybooks is established = user opt-in 13 @Jellybooks @arhomberg
  14. 14. Part III Focus Groups
  15. 15. ePub Modification by Jellybooks • We receive a regular ePub 3 file from author or publisher • We modify it with candy.js to record reading data • We automatically insert sync buttons to extract data • We make sure user is aware of the modification via identifiers like “candy stripe” 15 @Jellybooks @arhomberg
  16. 16. Test Reading Campaign Page 16
  17. 17. Survey Follow-up 17 not finishedfinished
  18. 18. Part IV Visualising Data
  19. 19. KPIs of a Book 19 1. Completion Rate how many readers finish? 2. Velocity fast read or slow read? 3. Recommendation factor do readers rave or rant? and more…
  20. 20. KPI – 1 Completion Rate 20
  21. 21. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% F F F 2 4 6 8 10 12 14 16 18 20 22 24 26 28 B B Displayed like Table of Contents Each horizontal bar = completion rate for a particular chapter narrative front- and back matter 21 Completion Ratebookchapters
  22. 22. 22 Completion rate – Example 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% F 1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73 B A lot of “flipping” (jumping between chapters), which is typical of book titles readers find “have to read” but that don’t hold their attention… Rapid decline of reader engagement in first 100 pages
  23. 23. 23 Completion Rate - Example 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% F 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 B B B 20% drop off within first 5 chapters - “not my kind of book” 80% finish book, straight through
  24. 24. 24CR: 80% excellent CR: 62% very good Completion Rate – Examples 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% F 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 B B B 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% F 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 B
  25. 25. 25 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% F F 1 3 5 7 9 11 13 15 17 19 B B CR: 30% good CR: 20% poor 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% F F F 1 3 5 7 9 11 13 15 17 19 21 23 25 27 B B B Completion Rate – Examples
  26. 26. Completion Rate • Does the book keep reader’s attention? • Rate is measured as percentage relative to those who start reading • Unlike ratings (subjective), this is an observational KPI 26
  27. 27. KPI - 2 Velocity 27
  28. 28. Example A – Easy & Fast Read 28 The majority of users read this ebook on a smartphone female, 27 female, 25 female, 48
  29. 29. Example B - Slow & Difficult Read 29 male, 26 @Jellybooks @arhomberg
  30. 30. Velocity • Measure of whether readers glued to the pages • Are readers coming back daily/hourly or are they distracted by other books, movies, social media etc.? • Measure of how “digestible” content is for readers. 30
  31. 31. KPI - 3 Recommendation Factor 31
  32. 32. 32 Would you recommend this book to a friend? 0 = not all likely 5 = neutral 10 = Extremely likely 0 1 2 3 4 5 6 7 8 9 10 Recommendation Factor = Promoters (%) (9s and 10s) Detractors (%) (0 through 6s) - @Jellybooks @arhomberg
  33. 33. Book Candy for Readers Data Candy for Authors brought to you by @arhomberg from @Jellybooks

×