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Jellybooks at Frankfurt Book Fair Business Club - 21 Oct 2016

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Jellybooks introduction to reader analytics presented by Andrew Rhomberg of Jellybooks and moderated by Porter Anderson at the Frankfurt Book fair 2016.

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Jellybooks at Frankfurt Book Fair Business Club - 21 Oct 2016

  1. 1. 1 Reader Analytics presented by Andrew Rhomberg founder ©Antonio Roselló
  2. 2. The Unknown Reader… 2 Despite the digital transformation of the publishing industry, authors & publisher still cannot measure reader engagement! Do consumers read the books they buy?
  3. 3. “Google Analytics for Ebooks” 3 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
  4. 4. 4 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.
  5. 5. Data Collection from 3rd Party Apps 5 iBooks Vitalsource Adobe Digital Editions Ebook Reader Mantano Azardi Overdrive Bluefire Cloud- reader iOS - - Android - - Kindle Fire - - - - - - - Windows - - - - -
  6. 6. ... 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 6
  7. 7. KPIs of a Book 7 1. Completion Rate how many readers finish? 2. Cover & Description Delivers what it promises? 3. Recommendation factor do readers rave or rant? and more…
  8. 8. 8 Completion Rate - Example 1 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
  9. 9. 9 Completion rate – Example 2 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
  10. 10. Example A – Fast Read 10 The majority of users read this ebook on a smartphone female, 27 female, 25 female, 48
  11. 11. Example B - slow read 11 male, 26
  12. 12. Recommendation Factor 12 59% 57% 56% 39% 36% 35% 35% 31% 25% 21% 20% 16% 6% 4% 4% 0% 0% -8% -11% -20% -10% 0% 10% 20% 30% 40% 50% 60% Book 1 Book 2 Book 3 Book 4 Book 5 Book 6 Book 7 Book 8 Book 9 Book 10 Book 11 Book 12 Book 13 Book 14 Book 15 Book 16 Book 17 Book 18 Book 19
  13. 13. 13 Publishers using Reader Analytics
  14. 14. Book candy for readers, data candy for publishers. Visit us at www.jellybooks.com

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