Reader Analytics

Leser besser kennen lernen!

A story of collaboration presented by @arhomberg founder of @jellybooks

2

Three years ago, on a grey and foggy morning in London’s East End…

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

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

„Google Analytics für E-Books”

ebook +

candy.js

tracking

1-click

sync

analytics

6

Involve the reader in the process!

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

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

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

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

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

Case Study: 5 Titles – 1 was A|B tested

< 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

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

Reader analytics also facilitates the collaboration between

author and publisher

16

Multi-publisher Reader Analytics Campaigns

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

Tolino & Kobo reading apps are not yet supported, due to issues with ePub3 support.

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

Book Candy for Readers

Data Candy for Publishers