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Reader Analytics

presented by

Andrew Rhomberg

founder

©Antonio Roselló

The Unknown Reader…

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Despite the digital

transformation of the

publishing industry,

authors & publisher

still cannot measure

reader engagement!

Do consumers read

the books they buy?

“Google Analytics for Ebooks”

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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

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3

=

HTML 5 + CSS 3 + JSA key feature of ePub 3 is the support for Javascript,

as well as HTML5 support for offline storage of data.

Data Collection from 3rd Party Apps

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iBooks Vitalsource Adobe

Digital

Editions

Ebook

Reader

Mantano Azardi Overdrive Bluefire

Cloud-

reader

iOS���� ���� ���� - ���� - ���� ����

Android- ���� ���� ���� ���� ���� ���� -

Kindle Fire- ���� - - - - - -

Windows- ���� ���� - - - ���� -

... 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

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KPIs of a Book

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1. Completion Rate

how many readers finish?

2. Cover & Description

Delivers what it promises?

3. Recommendation factor

do readers rave or rant?

and more…

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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

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Completion rate – Example 20% 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

Example A – Fast Read

10The majority of users read this ebook on a smartphone

female, 27 female, 25 female, 48

Example B - slow read

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male, 26

Recommendation Factor

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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

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Publishers using Reader Analytics

Book candy for readers, data candy for publishers.

Visit us at www.jellybooks.com