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

1. 1
Reader Analytics
presented by
Andrew Rhomberg
founder
©Antonio Roselló

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. “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
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. 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. ... 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. 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
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
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. Example A – Fast Read
10
The majority of users read this ebook on a smartphone
female, 27 female, 25 female, 48

11. Example B - slow read
11
male, 26

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
Publishers using Reader Analytics

14. Book candy for readers, data candy for publishers.
Visit us at www.jellybooks.com