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Goodreads Network

Monthly Uniques
20.8M US 45.9M Global

Goodreads for iOS Mobile App

794.0K US 1.3M Global
  •  
  • Quantified

    Directly Measured Data

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Updated May 25, 2015 • Next: May 26, 2015 by 9AM PDT
Last Month
For Apr 25, 2015 - May 24, 2015
Uniques Visits Installs Upgrades
Goodreads for iOS 3.1.5 (iOS) 467,515 1,754,987 42,848 104,045
Goodreads for iOS 3.1.7 (iOS) 372,759 1,212,635 35,325 336,794
Goodreads for iOS 3.1.6 (iOS) 294,234 817,443 23,628 269,248
Goodreads for iOS 3.1.3 (iOS) 21,839 95,605 207 4,699
Goodreads for iOS 2.5.4 (iOS) 18,764 101,787 1,907 512
See all 23 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  55
Female
 
 
143
 
 
 
< 18
 
  85
18-24
 
 
141
25-34
 
 
130
35-44
 
 
104
45-54
 
  82
55-64
 
  70
65+
 
  58
 
 
 
No Kids
 
 
104
Has Kids
 
  96
 
US Average
Index
 
 
$0-50k
 
  99
$50-100k
 
 
102
$100-150k
 
 
103
$150k+
 
  94
 
 
 
No College
 
  66
College
 
 
120
Grad School
 
 
149
 
 
 
Caucasian
 
 
109
African American
 
  49
Asian
 
  97
Hispanic
 
  78
Other
 
  94
 
US Average


Updated May 24, 2015 • Next: Jun 3, 2015 by 9AM PDT

Audience Interests


Top Interests

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Interests

Audience Interests: Interests

These content topics represent the interests of a property's users based on their browsing behavior.

Affinity Index

Interests Affinity Index

This index measures how much more likely someone who visits this property is to be interested in a given topic compared to the average internet user.

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Top Sites

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Sites

Audience Interests: Sites

This index measures how much more likely someone from this property is to visit the site listed compared to the average internet user.

Affinity Index

Site Affinity Index

This index measures how much more likely someone from this property is to visit the site listed compared to the average internet user.

{{ col.name }} {{ col.index | number:1 }}x  

Updated May 24, 2015 • Next: Jun 3, 2015 by 9AM PDT

User Retention After Install

Percentage of visitors returning to the mobile app within a specific timeframe after the installation date. Click the expand button under graph to see usage patterns for specific installation days.

Date of Installation Install Day +2 Days +3 Days +1 Week +2 Weeks +1 Month +3 Months +6 Months
Average Day
817 days total
8,925,660 installs
100%
58%
54%
48%
43%
36%
23%
13%
6 months ago
November 26, 2014
9,954 installs
100%
55%
51%
43%
39%
33%
20%
3 months ago
February 26, 2015
12,285 installs
100%
47%
42%
33%
27%
21%
1 month ago
April 26, 2015
14,420 installs
100%
44%
39%
29%
21%
2 weeks ago
May 12, 2015
13,154 installs
100%
37%
31%
17%
1 week ago
May 19, 2015
12,425 installs
100%
29%
21%

Visit Frequency

The number of non-logged-in unique users grouped by their return visit counts over the last 30 days.

The number of logged-in unique users grouped by their return visit counts over the last 30 days.

Visits Not Logged In | Logged In
1   132,681
2-3   20,421
4-7   2,600
8-15   695
16-31   311
32-63   141
64-127   86
128-255   47
256-511   26
512+   17
1   340,046
2-3   205,628
4-7   115,996
8-15   65,774
16-31   37,343
32-63   21,587
64-127   12,509
128-255   7,215
256-511   3,820
512+   2,753

Top Countries

The number of visits per country over the last 30 days.

countries Visits % Of Total
1.
United States
4,138,391
62%
2.
United Kingdom
457,344
7%
3.
Canada
423,913
6%
4.
Australia
247,531
4%
5.
Saudi Arabia
83,579
1%
6.
Philippines
82,401
1%
7.
Netherlands
73,138
1%
8.
Mexico
73,091
1%
9.
Germany
69,878
1%
10.
Sweden
53,587
1%

Top Device Models | Connections | Carriers | OS Versions

The number of unique users per device over the last 30 days.

device models Uniques % Of Total
1.
iPhone 6
170,350
21%
2.
iPhone 5S
159,283
20%
3.
iPhone 5
84,301
11%
4.
iPhone 5C
68,220
9%
5.
iPhone 4S
46,253
6%
6.
iPad 2
41,685
5%
7.
iPhone 6 Plus
41,348
5%
8.
iPad Air
32,454
4%
9.
iPad mini
31,592
4%
10.
iPad 4th Gen
26,941
3%
11.
iPad 3rd Gen
20,028
3%
12.
iPhone 4
19,908
3%
13.
iPad mini with Retina display
15,206
2%
14.
iPod touch
14,183
2%
15.
iPad Air 2
14,063
2%
16.
iPad Mini 3
3,525
<1%
17.
iPad
2,089
<1%
18.
iPhone 3GS
551
<1%
19.
iOS Simulator
28
<1%
20.
iPad5,2
1
<1%
See all 20 device models

The number of visits per connection type over the last 30 days.

connections Visits % Of Total
1.
WiFi
3,024,031
73%
2.
Cellular Data
1,076,363
26%
3.
No Internet Connection
37,997
1%

The number of visits per carrier type over the last 30 days.

carriers Visits % Of Total
1.
WiFi
3,024,031
73%
2.
AT&T
453,447
11%
3.
Verizon Wireless
410,836
10%
4.
Sprintcom Inc
126,031
3%
5.
T-Mobile USA
65,980
2%
6.
Disconnected
37,997
1%
7.
US Cellular
5,386
<1%
8.
Cellular South Inc
3,846
<1%
9.
T-Mobile Deutschland GmbH
2,992
<1%
10.
Virgin Mobile
2,110
<1%
11.
Tracfone Wireless
1,553
<1%
12.
nTELOS Communications Inc (Virginia PCS Alliance LC)
1,127
<1%
13.
Unrecognized Carrier
1,079
<1%
14.
GCI Communications Corp.
542
<1%
15.
Cricket Communications
176
<1%
16.
Celcom (Malaysia) Berhad
120
<1%
17.
Carolina West Wireless
91
<1%
18.
Union Telephone Company
82
<1%
19.
North East Cellular Inc.
75
<1%
20.
United Wireless Inc
60
<1%
21.
Iowa Wireless Services LLC
55
<1%
22.
Bluegrass Cellular LLC
54
<1%
23.
Bell Mobility
53
<1%
24.
China Unicom
50
<1%
25.
Rogers Wireless
50
<1%
26.
SETEL GSM
34
<1%
27.
Cellular Properties Inc.
32
<1%
28.
Vodafone Libertel N.V.
28
<1%
29.
Etisalat
28
<1%
30.
Saudi Telecom
27
<1%
31.
Telecommunication Company of Iran (TCI)
24
<1%
32.
West Central Wireless
22
<1%
33.
Cablevision Systems Corporation
19
<1%
34.
Telus Mobility
18
<1%
35.
Etihad Etisalat Company (Mobily)
16
<1%
36.
SD Mobitel
16
<1%
37.
MTN Network Ltd.
15
<1%
38.
Pine Telephone Company dba Pine Cellular
15
<1%
39.
Not Reported
14
<1%
40.
Du
13
<1%
41.
Golan Telecom Ltd
13
<1%
42.
Teleacre Cel
12
<1%
43.
O2 UK Ltd.
10
<1%
44.
Fido Solutions
9
<1%
45.
MTPCS LLC
9
<1%
46.
Nextel Communications Inc
9
<1%
47.
O2 (Germany) GmbH & Co. OHG
8
<1%
48.
Vodafone
7
<1%
49.
BATELCO
7
<1%
50.
Telcel
7
<1%
51.
Wataniya Telecom
5
<1%
52.
Zain Bahrain
5
<1%
53.
China Mobile
5
<1%
54.
Optus Mobile Pty. Ltd.
5
<1%
55.
Telkomsel
4
<1%
56.
Telstra Corporation Ltd.
4
<1%
57.
3 Ireland
4
<1%
58.
Globe Telecom
4
<1%
59.
New Mexico RSA 4 East Ltd. Partnership
4
<1%
60.
NTT DoCoMo Hokuriku Inc.
4
<1%
61.
SingTel ST
4
<1%
62.
Smart Communications, Inc
4
<1%
63.
T-Mobile Netherlands B.V.
4
<1%
64.
Vodafone Network Pty. Ltd.
3
<1%
65.
Wireless Communications Venture
3
<1%
66.
Claro Puerto Rico
3
<1%
67.
GoMobile SamoaTel Ltd
3
<1%
68.
GSM900/SmarTone
3
<1%
69.
T-Mobile UK
3
<1%
70.
Telcel, C.A.
3
<1%
71.
Telecom New Zealand - UMTS Ntework
2
<1%
72.
Telefónica Móvil
2
<1%
73.
Bharti Airtel Ltd., Delhi
2
<1%
74.
Turkcell
2
<1%
75.
Warid Telecom
2
<1%
76.
Videotron
2
<1%
77.
olleh Mobile
2
<1%
78.
Cellcom Israel Ltd.
2
<1%
79.
Comcel S.A. Occel S.A./Celcaribe
2
<1%
80.
Econet Wireless Nigeria Ltd.
2
<1%
81.
ETH MTN
2
<1%
82.
House of Integrated Technology and Systems Uganda Ltd
2
<1%
83.
Hutchison 3G UK Ltd.
2
<1%
84.
Instituto Costarricense de Electricidad - ICE
2
<1%
85.
Areeba-Sudan
2
<1%
86.
Mobile Telecommunications Company
2
<1%
87.
Mobile Telecommunications Ltd.
2
<1%
88.
Mobinil
2
<1%
89.
Netia Mobile
2
<1%
90.
Oman Qatari Telecommunications Company (Nawras)
2
<1%
91.
QATARNET
2
<1%
92.
Sl Wireless LLC
2
<1%
93.
Telefónica Centroamérica Guatemala S.A.
1
<1%
94.
Telems Cel
1
<1%
95.
Telenor Pakistan
1
<1%
96.
TeliaSonera Finland Oyj
1
<1%
97.
TIM Peru
1
<1%
98.
TT mobile
1
<1%
99.
Vodafone D2 GmbH
1
<1%
100.
Bharti Airtel Ltd., Madhya Pradesh
1
<1%
See top 100 carriers

The number of unique users per operating system over the last 30 days.

OS versions Uniques % Of Total
1.
iOS / 8.3
485,180
61%
2.
iOS / 8.2
67,659
9%
3.
iOS / 7.1.2
59,283
7%
4.
iOS / 8.1.3
52,116
7%
5.
iOS / 8.1.2
38,946
5%
6.
iOS / 7.1.1
19,254
2%
7.
iOS / 8.1
18,198
2%
8.
iOS / 8.1.1
15,024
2%
9.
iOS / 8.0.2
10,593
1%
10.
iOS / 7.0.4
9,528
1%
11.
iOS / 7.1
9,136
1%
12.
iOS / 8.0
5,757
1%
13.
iOS / 7.0.6
4,579
1%
14.
iOS / 6.1.3
3,203
<1%
15.
iOS / 6.1.6
2,985
<1%
16.
iOS / 5.1.1
2,618
<1%
17.
iOS / 7.0.3
2,606
<1%
18.
iOS / 7.0
2,155
<1%
19.
iOS / 7.0.2
2,142
<1%
20.
iOS / 6.0.1
519
<1%
21.
iOS / 6.1.4
497
<1%
22.
iOS / 8.4
379
<1%
23.
iOS / 6.1.2
334
<1%
24.
iOS / 6.0
285
<1%
25.
iOS / 6.1
219
<1%
26.
iOS / 7.0.1
85
<1%
27.
iOS / 6.1.5
83
<1%
28.
iOS / 6.0.2
74
<1%
29.
iOS / 4.3.5
66
<1%
30.
iOS / 4.3.3
52
<1%
31.
iOS / 5.1
51
<1%
32.
iOS / 5.0.1
46
<1%
33.
iOS / 9.0
21
<1%
34.
iOS / 5.0
16
<1%
35.
iOS / 6.1.1
16
<1%
36.
iOS / 4.3.2
13
<1%
37.
iOS / 4.3.1
9
<1%
38.
iOS / 7.0.5
7
<1%
39.
iOS / 4.3
6
<1%
40.
iOS / 4.3.4
3
<1%
41.
iOS / 8.0.1
1
<1%
See all 41 OS versions

Visit Sources

The percentage of visits from all apps in this network in the past 30 days.

The percentage of visits to Goodreads for iOS by version in the past 30 days.

Mobile Apps | Versions of Goodreads for …
Goodreads for iOS   67%
Goodreads for Android   33%
3.1.5 (iOS)   42%
3.1.7 (iOS)   29%
3.1.6 (iOS)   20%
2.5.4 (iOS)   2%
3.1.3 (iOS)   2%
3.0.2 (iOS)   1%
3.1.2 (iOS)   <1%
3.1.1 (iOS)   <1%
3.0 (iOS)   <1%
3.1 (iOS)   <1%

Top Events

Custom app event totals from Goodreads for iOS in the past 30 days.

events counts
1.
/launched
(15)
3,788,766
2.
/updates_view
3,621,668
3.
/book_view
2,267,549
4.
/myBooks_view
1,928,834
5.
/search
(7)
1,720,720
6.
/search_view
1,571,803
7.
/shelf
(3)
1,301,847
8.
/more_tab
1,221,625
9.
/shelf_picker_view
1,140,253
10.
/book_list_view
958,581
11.
/progress_view
892,162
12.
/ratings
(6)
790,304
13.
/simple_web_vc
787,859
14.
/review_view
695,752
15.
/notifications
(2)
553,617
16.
/author_view
535,114
17.
/status_updates
(2)
505,657
18.
/barcode
(1)
384,939
19.
/user_view
384,634
20.
/challenge_my_status
299,028
21.
/mybooks_search_view
240,417
22.
/sign_in_welcome
183,936
23.
/message_list
170,992
24.
/write_review_view
158,000
25.
/recommendations
155,206
26.
/explore
142,833
27.
/whats_new
132,315
28.
/friends_view
130,579
29.
/topic_show
128,901
30.
/comments_page
113,290
31.
/rate_books
(2)
113,114
32.
/message_show
106,881
33.
/sign_in_view
92,948
34.
/likes_unlikes
(2)
86,781
35.
/friends_requests_view
86,129
36.
/home_jump_screen
85,467
37.
/listType
84,717
38.
/sign_in
(3)
75,058
39.
/challenge_friends_list
74,841
40.
/gr_web_view/choiceawards
68,112
41.
/findfriends_choice
62,093
42.
/group_list
60,487
43.
/recs_genre_selector
57,995
44.
/write_comment_view
56,995
45.
/settings_view
56,338
46.
/comments
(14)
55,696
47.
/listopic_show
49,574
48.
/read_statuses_show
47,907
49.
/user_status_show
46,543
50.
/friend_requests
(2)
45,294
51.
/group_show
44,764
52.
/messages
(2)
44,737
53.
/error
(22)
40,630
54.
/fav_genres_edit
40,113
55.
/sign_up_view
39,596
56.
/sign_up
(3)
34,865
57.
/challenge_signup_page
34,003
58.
/folder_show
31,830
59.
/fb_invites
(6)
31,073
60.
/manageEBooks
30,235
61.
/recs_book_info
27,380
62.
/listEbooks
26,110
63.
/rate_books_genre_selector
24,413
64.
/message_new
23,264
65.
/ereader_view
23,161
66.
/challenge_friend_status
21,950
67.
/recs_shelf_selector
20,742
68.
/add_fb_friends
19,115
69.
/challenge
(5)
17,676
70.
/findfriends
17,202
71.
/profile_photo_edit
16,160
72.
/event_view
15,037
73.
/recommendation_show
13,643
74.
/write_status_view
10,613
75.
/share_book
(6)
9,190
76.
/gr_web_view
8,644
77.
/gr_web_view/choice_awards
8,275
78.
/friends_select_view
7,997
79.
/gr_web_view/private/var/mobile/Containers/Bundle/Application/Goodreads
(1)
6,735
80.
/addressbook_invites
(4)
6,287
81.
/findfriends_fb
6,103
82.
/rec_book_to_friends
5,599
83.
/likers_page
5,383
84.
/group_search
4,455
85.
/recent_reviews
4,207
86.
/amz_sign_in_ask
4,056
87.
/fb_sign_in_already_owned
3,551
88.
/notification_settings
3,540
89.
/gr_web_view/event/show
3,442
90.
/bookmark_view
3,403
91.
/eReaderChapters
2,955
92.
/gr_web_view/
(1)
2,778
93.
/fb_sign_in_ask
2,643
94.
/amz_sign_in_already_owned
2,050
95.
/gr_web_view/help/list/iphone
1,929
96.
/appearance_view
1,838
97.
/gr_web_view/quotes
1,293
98.
/gr_web_view/poll/show
1,253
99.
/gr_web_view/friend/show
1,054
100.
/gr_web_view/watch
1,036
101.
/gr_web_view/dp
1,002
See top 100 events

Request Access

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You have sent a request to this profile's owner to be able to see all hidden data on this profile. You will be notified via email when access has been granted.

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Getting Quantified means you get free, directly measured and reliable audience and traffic data for the web properties you manage. Non-Quantified sites are still listed, but the data shown is estimated.

Request Site Get Quantified

You can send a request to this publisher asking them to join the Quantcast Publisher Program. The publisher will be notified of your request via email. If and when the publisher decides to join, you will receive an email notification.

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People from Sites & Syndicators

These percentages usually sum greater than 100% due to overlap in site and syndicated audiences.

Reading Demographic Graphs

1. Index

This compares audience composition of the site or mobile app to each platform population. The higher the index number, the more concentrated the property is in a particular demographic.

As an example, if a property indexes 100 for age 18-24, that means a given visitor to it is as likely to be 18-24 as any internet user chosen at random. An index of 200 means the visitor is twice as likely to be 18-24, 50 means half as likely, and so on.

2. Segments are represented with icons. Segments include gender, age, household income, and education.

3. Very High Indexes (over 200) are denoted with a plus symbol.

4. Internet Average is represented by the dotted vertical line.



Reading Demographic Graphs

This compares audience composition of the site or mobile app to each platform population. The higher the index number, the more concentrated the property is in a particular demographic.

As an example, if a property indexes 100 for age 18-24, that means a given visitor to it is as likely to be 18-24 as any internet user chosen at random. An index of 200 means the visitor is twice as likely to be 18-24, 50 means half as likely, and so on.

1. Segment refers to the demographic composition attribute.

2. Very High Indexes (over 200) are denoted with a plus symbol.

3. Internet Average is represented by the dotted vertical line.

4. Expand the data to see the numbers which make up the index calculation.


The expanded view shows the percentage composition, the Internet average and the multiple.

1. A Colored Bar indicates that a segment exceeds the Internet average, whereas a gray bar indicates the segment is below the Internet average. Internet average is represented by the dotted vertical line.

2. A Multiple is the percentage of the segment on this property divided by the average of the same segment on the entire Internet.

Example:
80% female segment on property ÷ 32% female internet average = 2.5x


This chart breaks down the property's audience for a demographic. All the segments collectively equal 100%.

As an example, if a property indexes 100 for age 18-24, that means a given visitor to it is as likely to be 18-24 as any internet user chosen at random. An index of 200 means the visitor is twice as likely to be 18-24, 50 means half as likely, and so on.

1. The Top-Indexing Segment is shown in color.



Understanding User Retention

This graph examines user retention patterns for a mobile app, which tells the story of how much of app's user base continues to use the app after installation over time.

1. The x-axis is comprised of cohorts based on when users installed the app. For example, if we look at the column "+3 Days", this means that regardless of whether users installed the app a week ago or a month ago, what ratio of these users have returned within three days after installation.

2. The gray bars indicate the average retention rate across all days the app was downloaded.

3. The yellow line represents the average retention rate by period of all apps measured by Quantcast.

4. Install grouping details can be found by clicking on the down arrow.

In the expanded view, each row shows the retention patterns based on a point in time. Click on each row to compare that cohort against the average of all users installing the app.

1. The average day row shows the general retention rate for the entire app.

2. The highlighted row shows the retention rate compared against the average. In this example, 29% of users who installed the app one month ago returned at some point within two days, compared to the average of 35%.

3. The Add Date button allows you to add custom dates to determine retention patterns.

4. The Close button collapses the details and returns you to the default view.



Understanding Visit Frequency

This chart shows the number of return visits for unique users over the last 30 days.

1. Toggle between visit patterns of Logged In and Non Logged In users. In order to enable the toggle, the publisher must designate that the app has a logged in user base. The Logged In number represents the visit frequency of users that have logged in order to use this app.

3. For example, over the last 30 days, 3,644 unique users visited 4-7 times.


Understanding Return Usage of Logged in Users

Digital brand offerings span across many device types and media channels. Quantcast allows brands to measure mobile web, online and app traffic. This feature allows a network property to demonstrate how logged in users migrate between these various platforms.

1. First Platform and First Cohort allow you to isolate a platform — for example mobile apps — and examine how users that start on mobile return over time to online, mobile web, apps or all of these platforms. The first cohort time range is for selecting a group of users you would like to track — for instance all users first seen within the course of a particular week an online ad campaign. Once defined, you can explore how this defined group of users returned, by platform, over time. A first-seen cohort may span up to 30 days.

2. Display Options allows you to choose available platforms to show return visits. More than one platform means that the logged in user returned on more than one platform (such as mobile apps and online) within the time period viewed. You can also select the amount of data points to review — 30, 60, or 90 days worth.

1. Bundled advertising inventory
Media properties often bundle together advertising inventory across platforms into a single package for their clients. By showing that customers are continuously engaged across multiple platforms, networks can demonstrate what packaging options make the most sense in all of the contexts and formats these platforms provide.

2. Measure efforts to migrate an audience from one platform to another
This feature is a great way to isolate marketing efforts made to drive usage from one platform to another by looking at historical changes in platform adoption.

3. Compare return usages nuances between platforms
Understand the nuances of usage pattern of customers on a particular platforms for product development decisions.



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If you have multiple Websites or Mobile Apps, you can create a network to aggregate all of your data under a single property. This name will be publicly viewable.