Goodreads Network

Monthly Uniques
18.1M US 47.4M Global

Goodreads for iOS Mobile App

827.8K US 1.3M Global


Updated Aug 2, 2015 • Next: Aug 3, 2015 by 9AM PDT
Last Month
For Jul 3, 2015 - Aug 1, 2015
Uniques Visits Installs Upgrades
Goodreads for iOS 3.1.7 (iOS) 760,498 4,267,579 108,565 177,684
Goodreads for iOS 3.1.5 (iOS) 17,447 80,314 175 3,675
Goodreads for iOS 2.5.4 (iOS) 14,693 82,504 1,651 354
Goodreads for iOS 3.1.3 (iOS) 10,217 45,394 104 1,898
Goodreads for iOS 3.0.2 (iOS) 4,683 19,764 46 777
See all 25 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  51
Female
 
 
147
 
 
 
< 18
 
  75
18-24
 
 
142
25-34
 
 
143
35-44
 
 
105
45-54
 
  79
55-64
 
  69
65+
 
  61
 
 
 
No Kids
 
 
104
Has Kids
 
  96
 
US Average
Index
 
 
$0-50k
 
  98
$50-100k
 
 
103
$100-150k
 
 
104
$150k+
 
  94
 
 
 
No College
 
  63
College
 
 
120
Grad School
 
 
159
 
 
 
Caucasian
 
 
109
African American
 
  51
Asian
 
  90
Hispanic
 
  79
Other
 
  95
 
US Average


Updated Aug 2, 2015 • Next: Aug 12, 2015 by 9AM PDT

Audience Interests


Top Interests

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Interests

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

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

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

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 Aug 2, 2015 • Next: Aug 12, 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
885 days total
9,901,886 installs
100%
57%
53%
46%
42%
35%
23%
13%
6 months ago
February 2, 2015
13,690 installs
100%
50%
45%
38%
32%
25%
14%
3 months ago
May 2, 2015
12,432 installs
100%
48%
43%
35%
30%
23%
1 month ago
July 2, 2015
15,740 installs
100%
44%
38%
28%
21%
3%
2 weeks ago
July 19, 2015
15,337 installs
100%
39%
32%
20%
1 week ago
July 26, 2015
15,143 installs
100%
31%
23%

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   139,340
2-3   18,431
4-7   2,294
8-15   594
16-31   318
32-63   182
64-127   116
128-255   46
256-511   24
512+   21
1   392,838
2-3   203,336
4-7   111,935
8-15   69,182
16-31   43,239
32-63   26,812
64-127   16,865
128-255   10,127
256-511   5,648
512+   4,820

Top Countries

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

countries Visits % Of Total
1.
United States
4,601,142
62%
2.
United Kingdom
483,918
7%
3.
Canada
449,958
6%
4.
Australia
257,683
3%
5.
Saudi Arabia
84,181
1%
6.
Mexico
79,818
1%
7.
Philippines
79,354
1%
8.
Netherlands
75,369
1%
9.
Germany
73,224
1%
10.
Italy
58,441
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
208,078
25%
2.
iPhone 5S
165,022
20%
3.
iPhone 5
75,356
9%
4.
iPhone 5C
68,911
8%
5.
iPhone 6 Plus
49,420
6%
6.
iPad 2
39,427
5%
7.
iPhone 4S
39,108
5%
8.
iPad Air
32,589
4%
9.
iPad mini
31,465
4%
10.
iPad 4th Gen
25,466
3%
11.
iPad 3rd Gen
20,101
2%
12.
iPad Air 2
17,112
2%
13.
iPad mini with Retina display
16,269
2%
14.
iPhone 4
15,982
2%
15.
iPod touch
13,238
2%
16.
iPad Mini 3
4,473
1%
17.
iPad
1,865
<1%
18.
iPhone 3GS
427
<1%
19.
iOS Simulator
120
<1%
20.
iPod7,1
83
<1%
21.
iPhone8,1
3
<1%
22.
iPhone8,2
3
<1%
See all 22 device models

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

connections Visits % Of Total
1.
WiFi
3,376,546
73%
2.
Cellular Data
1,183,529
26%
3.
No Internet Connection
41,067
1%

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

carriers Visits % Of Total
1.
WiFi
3,376,546
73%
2.
AT&T
483,899
11%
3.
Verizon Wireless
467,853
10%
4.
Sprintcom Inc
137,937
3%
5.
T-Mobile USA
72,736
2%
6.
Disconnected
41,067
1%
7.
US Cellular
6,402
<1%
8.
Cellular South Inc
4,040
<1%
9.
T-Mobile Deutschland GmbH
3,067
<1%
10.
Virgin Mobile
2,152
<1%
11.
Tracfone Wireless
1,414
<1%
12.
Unrecognized Carrier
1,263
<1%
13.
nTELOS Communications Inc (Virginia PCS Alliance LC)
927
<1%
14.
GCI Communications Corp.
554
<1%
15.
North East Cellular Inc.
92
<1%
16.
Celcom (Malaysia) Berhad
88
<1%
17.
Union Telephone Company
81
<1%
18.
Carolina West Wireless
81
<1%
19.
Cricket Communications
61
<1%
20.
Rogers Wireless
61
<1%
21.
Iowa Wireless Services LLC
55
<1%
22.
United Wireless Inc
42
<1%
23.
China Unicom
40
<1%
24.
Etisalat
40
<1%
25.
Etihad Etisalat Company (Mobily)
35
<1%
26.
Telus Mobility
34
<1%
27.
West Central Wireless
33
<1%
28.
Bluegrass Cellular LLC
21
<1%
29.
SETEL GSM
21
<1%
30.
Saudi Telecom
20
<1%
31.
Telecommunication Company of Iran (TCI)
18
<1%
32.
Zain Bahrain
17
<1%
33.
MobileOne
17
<1%
34.
Telcel
16
<1%
35.
Not Reported
15
<1%
36.
China Mobile
15
<1%
37.
Bouygues Telecom
14
<1%
38.
Mobilink
14
<1%
39.
Pine Telephone Company dba Pine Cellular
14
<1%
40.
SD Mobitel
14
<1%
41.
Turkcell
13
<1%
42.
Illinois Valley Cellular
13
<1%
43.
Hutchison 3G UK Ltd.
12
<1%
44.
Telstra Corporation Ltd.
10
<1%
45.
olleh Mobile
10
<1%
46.
KDDI Corporation
10
<1%
47.
Optus Mobile Pty. Ltd.
10
<1%
48.
Fido Solutions
9
<1%
49.
Verizon Dominicana S.A.
8
<1%
50.
Bell Mobility
8
<1%
51.
MTPCS LLC
7
<1%
52.
O2 UK Ltd.
7
<1%
53.
Starhub
7
<1%
54.
T-Mobile UK
7
<1%
55.
Vodafone Libertel N.V.
6
<1%
56.
Wireless Communications Venture
6
<1%
57.
Du
6
<1%
58.
Cellular Properties Inc.
6
<1%
59.
Fastlink
6
<1%
60.
Sl Wireless LLC
6
<1%
61.
Teleacre Cel
6
<1%
62.
Telkomsel
5
<1%
63.
Iusacell / Unefon
5
<1%
64.
Blanca Telephone Company
5
<1%
65.
Globe Telecom
5
<1%
66.
Mobinil
5
<1%
67.
QATARNET
5
<1%
68.
Safaricom Ltd.
5
<1%
69.
BATELCO
5
<1%
70.
SingTel ST
5
<1%
71.
Vodafone
4
<1%
72.
Vodafone New Zealand GSM Network
4
<1%
73.
New Mexico RSA 4 East Ltd. Partnership
4
<1%
74.
NTT DoCoMo Hokuriku Inc.
4
<1%
75.
STC Bahrain
4
<1%
76.
Telefónica O2 Czech Republic a.s.
3
<1%
77.
Cosmote
3
<1%
78.
Excelcomindo
3
<1%
79.
GoMobile SamoaTel Ltd
3
<1%
80.
MTN Rwandacell
3
<1%
81.
Wataniya Telecom
2
<1%
82.
3 Ireland
2
<1%
83.
Cablevision Systems Corporation
2
<1%
84.
Golan Telecom Ltd
2
<1%
85.
Latvijas Mobilais Telefons SIA
2
<1%
86.
Nextel Communications Inc
2
<1%
87.
Oman Qatari Telecommunications Company (Nawras)
2
<1%
88.
PAK Telecom Mobile Ltd. (UFONE)
2
<1%
89.
Telecom Italia Mobile (TIM)
1
<1%
90.
Telecom New Zealand - UMTS Ntework
1
<1%
91.
Telecom Personal S.A.
1
<1%
92.
Telenor Pakistan
1
<1%
93.
Telia Sonera Sverige AB
1
<1%
94.
TeliaSonera Finland Oyj
1
<1%
95.
Tess
1
<1%
96.
TT mobile
1
<1%
97.
Viva
1
<1%
98.
Vodafone Albania
1
<1%
99.
Vodafone D2 GmbH
1
<1%
100.
Vodafone Ltd.
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 / 8.4
426,394
52%
2.
iOS / 8.3
278,426
34%
3.
iOS / 7.1.2
44,488
5%
4.
iOS / 8.2
27,037
3%
5.
iOS / 8.1.3
26,821
3%
6.
iOS / 8.1.2
24,006
3%
7.
iOS / 7.1.1
14,767
2%
8.
iOS / 8.1
12,411
1%
9.
iOS / 8.1.1
9,828
1%
10.
iOS / 7.0.4
7,502
1%
11.
iOS / 7.1
7,146
1%
12.
iOS / 8.0.2
6,690
1%
13.
iOS / 8.0
3,591
<1%
14.
iOS / 7.0.6
3,547
<1%
15.
iOS / 9.0
3,199
<1%
16.
iOS / 6.1.6
2,565
<1%
17.
iOS / 6.1.3
2,468
<1%
18.
iOS / 5.1.1
2,299
<1%
19.
iOS / 7.0.3
1,983
<1%
20.
iOS / 7.0
1,650
<1%
21.
iOS / 7.0.2
1,581
<1%
22.
iOS / 6.0.1
385
<1%
23.
iOS / 6.1.4
342
<1%
24.
iOS / 6.1.2
262
<1%
25.
iOS / 6.0
204
<1%
26.
iOS / 6.1
193
<1%
27.
iOS / 5.0.1
61
<1%
28.
iOS / 6.1.5
60
<1%
29.
iOS / 7.0.1
60
<1%
30.
iOS / 4.3.3
47
<1%
31.
iOS / 6.0.2
47
<1%
32.
iOS / 4.3.5
37
<1%
33.
iOS / 5.1
36
<1%
34.
iOS / 6.1.1
13
<1%
35.
iOS / 5.0
12
<1%
36.
iOS / 4.3.2
10
<1%
37.
iOS / 4.3
7
<1%
38.
iOS / 4.3.1
6
<1%
39.
iOS / 8.4.1
5
<1%
40.
iOS / 4.3.4
2
<1%
41.
iOS / 7.0.5
2
<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%
3.1.7 (iOS)   93%
2.5.4 (iOS)   2%
3.1.5 (iOS)   2%
3.1.3 (iOS)   1%
3.0.2 (iOS)   <1%
3.1.6 (iOS)   <1%
3.1.1 (iOS)   <1%
3.0 (iOS)   <1%
3.1.2 (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
(6)
4,211,920
2.
/updates_view
4,100,069
3.
/book_view
2,601,085
4.
/myBooks_view
2,237,037
5.
/search
(7)
1,981,919
6.
/search_view
1,809,768
7.
/shelf
(3)
1,519,055
8.
/more_tab
1,371,480
9.
/shelf_picker_view
1,331,534
10.
/book_list_view
1,114,217
11.
/progress_view
1,061,802
12.
/ratings
(6)
951,049
13.
/simple_web_vc
884,839
14.
/review_view
821,996
15.
/author_view
606,914
16.
/notifications
(2)
595,682
17.
/status_updates
(2)
592,803
18.
/user_view
462,438
19.
/barcode
(1)
439,349
20.
/challenge_my_status
341,504
21.
/mybooks_search_view
286,744
22.
/write_review_view
192,257
23.
/sign_in_welcome
186,592
24.
/recommendations
174,600
25.
/friends_view
158,624
26.
/explore
152,328
27.
/message_list
149,884
28.
/comments_page
144,814
29.
/whats_new
134,281
30.
/topic_show
134,235
31.
/rate_books
(2)
110,279
32.
/likes_unlikes
(2)
102,988
33.
/friends_requests_view
102,594
34.
/sign_in_view
101,556
35.
/listType
88,365
36.
/message_show
88,329
37.
/sign_in
(3)
83,813
38.
/challenge_friends_list
82,807
39.
/recs_genre_selector
71,717
40.
/home_jump_screen
69,688
41.
/findfriends_choice
67,792
42.
/group_list
65,610
43.
/gr_web_view/choiceawards
65,562
44.
/comments
(13)
65,249
45.
/write_comment_view
64,543
46.
/settings_view
64,490
47.
/read_statuses_show
57,085
48.
/listopic_show
54,927
49.
/friend_requests
(2)
54,419
50.
/user_status_show
50,209
51.
/group_show
47,445
52.
/error
(19)
45,495
53.
/fb_invites
(7)
44,530
54.
/messages
(2)
42,239
55.
/fav_genres_edit
40,933
56.
/sign_up_view
39,326
57.
/challenge_signup_page
35,500
58.
/sign_up
(3)
34,923
59.
/folder_show
33,284
60.
/manageEBooks
32,005
61.
/listEbooks
28,693
62.
/add_fb_friends
26,722
63.
/recs_book_info
26,579
64.
/challenge_friend_status
25,015
65.
/rate_books_genre_selector
24,400
66.
/ereader_view
22,961
67.
/message_new
22,210
68.
/challenge
(5)
21,667
69.
/findfriends
21,646
70.
/recs_shelf_selector
20,020
71.
/profile_photo_edit
19,213
72.
/event_view
15,942
73.
/recommendation_show
14,561
74.
/write_status_view
12,626
75.
/share_book
(6)
10,977
76.
/findfriends_fb
8,757
77.
/gr_web_view/private/var/mobile/Containers/Bundle/Application/Goodreads
(1)
8,404
78.
/gr_web_view
8,170
79.
/addressbook_invites
(4)
8,117
80.
/friends_select_view
8,096
81.
/rec_book_to_friends
6,437
82.
/likers_page
6,378
83.
/group_search
5,251
84.
/recent_reviews
4,200
85.
/amz_sign_in_ask
4,122
86.
/notification_settings
4,001
87.
/fb_sign_in_already_owned
3,537
88.
/gr_web_view/event/show
3,397
89.
/bookmark_view
3,276
90.
/gr_web_view/
(1)
3,259
91.
/fb_sign_in_ask
2,766
92.
/eReaderChapters
2,725
93.
/gr_web_view/help/list/iphone
2,399
94.
/gr_web_view/watch
2,375
95.
/amz_sign_in_already_owned
2,068
96.
/fb_sign_up_app_invite_prompt_exp
1,784
97.
/appearance_view
1,756
98.
/gr_web_view/poll/show
1,534
99.
/gr_web_view/friend/show
1,358
100.
/gr_web_view/quotes
1,305
101.
/list_all_my_shelves
1,149
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.

Getting Quantified

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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Create a Network

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.