Goodreads Network

Monthly Uniques
19.6M US 50.5M Global

Goodreads for iOS Mobile App

826.7K US 1.3M Global


Updated Aug 28, 2015 • Next: Aug 29, 2015 by 9AM PDT
Last Month
For Jul 29, 2015 - Aug 27, 2015
Uniques Visits Installs Upgrades
Goodreads for iOS 3.1.7 (iOS) 647,423 3,097,471 71,065 106,960
Goodreads for iOS 3.1.8 (iOS) 359,295 1,144,016 38,361 322,672
Goodreads for iOS 2.5.4 (iOS) 12,837 69,167 1,481 297
Goodreads for iOS 3.1.5 (iOS) 12,503 56,789 159 2,342
Goodreads for iOS 3.1.3 (iOS) 8,146 35,258 106 1,470
See all 26 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  51
Female
 
 
147
 
 
 
< 18
 
  76
18-24
 
 
136
25-34
 
 
143
35-44
 
 
108
45-54
 
  78
55-64
 
  71
65+
 
  60
 
 
 
No Kids
 
 
105
Has Kids
 
  95
 
US Average
Index
 
 
$0-50k
 
  99
$50-100k
 
 
101
$100-150k
 
 
107
$150k+
 
  95
 
 
 
No College
 
  62
College
 
 
120
Grad School
 
 
162
 
 
 
Caucasian
 
 
109
African American
 
  48
Asian
 
  99
Hispanic
 
  81
Other
 
  96
 
US Average


Updated Aug 24, 2015 • Next: Sep 2, 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 24, 2015 • Next: Sep 2, 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
911 days total
10,277,766 installs
100%
57%
53%
46%
41%
35%
22%
13%
6 months ago
February 28, 2015
13,490 installs
100%
50%
44%
36%
30%
25%
15%
3 months ago
May 28, 2015
13,537 installs
100%
47%
42%
33%
27%
21%
1 month ago
July 28, 2015
14,281 installs
100%
42%
36%
26%
19%
2%
2 weeks ago
August 14, 2015
13,852 installs
100%
38%
32%
18%
1 week ago
August 21, 2015
12,856 installs
100%
32%
24%

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   137,634
2-3   19,593
4-7   2,361
8-15   635
16-31   260
32-63   156
64-127   99
128-255   55
256-511   20
512+   14
1   375,952
2-3   215,228
4-7   120,391
8-15   71,349
16-31   42,455
32-63   25,529
64-127   15,384
128-255   9,135
256-511   5,019
512+   3,923

Top Countries

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

countries Visits % Of Total
1.
United States
4,503,639
61%
2.
United Kingdom
496,799
7%
3.
Canada
457,930
6%
4.
Australia
252,173
3%
5.
Saudi Arabia
92,206
1%
6.
Netherlands
79,973
1%
7.
Mexico
76,299
1%
8.
Germany
74,550
1%
9.
Philippines
71,374
1%
10.
Italy
62,804
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
224,320
27%
2.
iPhone 5S
163,183
20%
3.
iPhone 5
71,266
9%
4.
iPhone 5C
66,985
8%
5.
iPhone 6 Plus
51,539
6%
6.
iPad 2
38,084
5%
7.
iPhone 4S
36,234
4%
8.
iPad Air
32,986
4%
9.
iPad mini
30,808
4%
10.
iPad 4th Gen
25,202
3%
11.
iPad 3rd Gen
19,110
2%
12.
iPad Air 2
18,834
2%
13.
iPad mini with Retina display
16,412
2%
14.
iPhone 4
14,693
2%
15.
iPod touch
12,738
2%
16.
iPad Mini 3
4,713
1%
17.
iPad
1,764
<1%
18.
iPhone 3GS
376
<1%
19.
iPod7,1
275
<1%
20.
iOS Simulator
188
<1%
21.
iPhone8,2
7
<1%
22.
iPhone8,1
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
3,316,877
74%
2.
Cellular Data
1,149,086
26%
3.
No Internet Connection
37,676
1%

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

carriers Visits % Of Total
1.
WiFi
3,316,877
74%
2.
AT&T
468,683
10%
3.
Verizon Wireless
448,630
10%
4.
Sprintcom Inc
136,882
3%
5.
T-Mobile USA
74,396
2%
6.
Disconnected
37,676
1%
7.
US Cellular
6,067
<1%
8.
Cellular South Inc
3,760
<1%
9.
T-Mobile Deutschland GmbH
3,355
<1%
10.
Virgin Mobile
2,038
<1%
11.
Tracfone Wireless
1,368
<1%
12.
Unrecognized Carrier
1,074
<1%
13.
nTELOS Communications Inc (Virginia PCS Alliance LC)
829
<1%
14.
GCI Communications Corp.
527
<1%
15.
Union Telephone Company
104
<1%
16.
Cricket Communications
98
<1%
17.
Carolina West Wireless
92
<1%
18.
Celcom (Malaysia) Berhad
88
<1%
19.
China Unicom
83
<1%
20.
MobileOne
66
<1%
21.
Iowa Wireless Services LLC
53
<1%
22.
Telus Mobility
44
<1%
23.
North East Cellular Inc.
42
<1%
24.
Etisalat
40
<1%
25.
Rogers Wireless
34
<1%
26.
Etihad Etisalat Company (Mobily)
32
<1%
27.
Hutchison 3G UK Ltd.
32
<1%
28.
Pine Telephone Company dba Pine Cellular
32
<1%
29.
Zain Bahrain
30
<1%
30.
West Central Wireless
28
<1%
31.
China Mobile
28
<1%
32.
SD Mobitel
26
<1%
33.
Verizon Dominicana S.A.
25
<1%
34.
Telecommunication Company of Iran (TCI)
21
<1%
35.
BATELCO
21
<1%
36.
SETEL GSM
21
<1%
37.
Fido Solutions
20
<1%
38.
Not Reported
18
<1%
39.
United Wireless Inc
17
<1%
40.
Bluegrass Cellular LLC
17
<1%
41.
Turkcell
16
<1%
42.
Illinois Valley Cellular
16
<1%
43.
Smith Bagley Inc, dba Cellular One
16
<1%
44.
Saudi Telecom
14
<1%
45.
olleh Mobile
13
<1%
46.
O2 UK Ltd.
13
<1%
47.
Bell Mobility
13
<1%
48.
KDDI Corporation
12
<1%
49.
Telcel
11
<1%
50.
Du
10
<1%
51.
Telstra Corporation Ltd.
9
<1%
52.
New Mexico RSA 4 East Ltd. Partnership
8
<1%
53.
Globe Telecom
7
<1%
54.
Idea Cellular Ltd., Maharashtra
7
<1%
55.
Optus Mobile Pty. Ltd.
7
<1%
56.
Mobile Telecommunications Company
6
<1%
57.
Safaricom Ltd.
6
<1%
58.
SingTel ST
6
<1%
59.
WIND
5
<1%
60.
Cablevision Systems Corporation
5
<1%
61.
Cellular Properties Inc.
5
<1%
62.
QATARNET
5
<1%
63.
Telkomsel
4
<1%
64.
Telsim GSM
4
<1%
65.
Vodafone Libertel N.V.
4
<1%
66.
Excelcomindo
4
<1%
67.
Golan Telecom Ltd
4
<1%
68.
GSM900/HKCSL
4
<1%
69.
Omnitel Pronto Italia (OPI)
4
<1%
70.
Optimus - Telecomunicaçôes, S.A.
4
<1%
71.
Smart Communications, Inc
4
<1%
72.
Telcel, C.A.
4
<1%
73.
Teleacre Cel
4
<1%
74.
DAVE Wireless
3
<1%
75.
3 Ireland
3
<1%
76.
MTN Rwandacell
3
<1%
77.
MTPCS LLC
3
<1%
78.
NTT DoCoMo Hokuriku Inc.
3
<1%
79.
T-Mobile Netherlands B.V.
3
<1%
80.
Telefónica Móviles Colombia S.A.
2
<1%
81.
Viva
2
<1%
82.
Vodafone D2 GmbH
2
<1%
83.
Vodafone Ireland Plc
2
<1%
84.
Vodafone Network Pty. Ltd.
2
<1%
85.
Vodafone Romania SA
2
<1%
86.
Bharti Airtel Ltd., Mumbai
2
<1%
87.
Etisalet
2
<1%
88.
Colombia Móvil S.A.
2
<1%
89.
CTMR Cel
2
<1%
90.
Entel Telefónica Móvil
2
<1%
91.
ERA GSM (Polska Telefonia Cyfrowa Sp. Z.o.o.)
2
<1%
92.
GoMobile SamoaTel Ltd
2
<1%
93.
Hutchison Essar Mobile Services Ltd, Delhi
2
<1%
94.
Hutchison Telecom East Ltd, Kolkata
2
<1%
95.
Areeba-Sudan
2
<1%
96.
Méditélécom (GSM)
2
<1%
97.
Mobinil
2
<1%
98.
Nextel Communications Inc
2
<1%
99.
Oman Qatari Telecommunications Company (Nawras)
2
<1%
100.
PAK Telecom Mobile Ltd. (UFONE)
2
<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
432,787
52%
2.
iOS / 8.4.1
202,461
24%
3.
iOS / 8.3
153,308
19%
4.
iOS / 7.1.2
39,694
5%
5.
iOS / 8.1.3
21,972
3%
6.
iOS / 8.2
21,000
3%
7.
iOS / 8.1.2
20,319
2%
8.
iOS / 7.1.1
12,966
2%
9.
iOS / 8.1
11,045
1%
10.
iOS / 8.1.1
8,418
1%
11.
iOS / 7.0.4
6,506
1%
12.
iOS / 7.1
6,319
1%
13.
iOS / 8.0.2
5,659
1%
14.
iOS / 9.0
4,095
<1%
15.
iOS / 7.0.6
3,121
<1%
16.
iOS / 8.0
3,096
<1%
17.
iOS / 6.1.6
2,299
<1%
18.
iOS / 5.1.1
2,153
<1%
19.
iOS / 6.1.3
2,095
<1%
20.
iOS / 7.0.3
1,718
<1%
21.
iOS / 7.0
1,442
<1%
22.
iOS / 7.0.2
1,439
<1%
23.
iOS / 6.0.1
325
<1%
24.
iOS / 6.1.4
283
<1%
25.
iOS / 6.1.2
233
<1%
26.
iOS / 6.0
171
<1%
27.
iOS / 6.1
152
<1%
28.
iOS / 6.1.5
55
<1%
29.
iOS / 4.3.3
49
<1%
30.
iOS / 7.0.1
49
<1%
31.
iOS / 5.0.1
46
<1%
32.
iOS / 4.3.5
43
<1%
33.
iOS / 6.0.2
36
<1%
34.
iOS / 5.1
31
<1%
35.
iOS / 4.3.2
11
<1%
36.
iOS / 5.0
10
<1%
37.
iOS / 6.1.1
10
<1%
38.
iOS / 4.3.1
8
<1%
39.
iOS / 4.3
7
<1%
40.
iOS / 7.0.5
5
<1%
41.
iOS / 4.3.4
3
<1%
42.
iOS / 8.0.1
1
<1%
See all 42 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)   69%
3.1.8 (iOS)   25%
2.5.4 (iOS)   2%
3.1.5 (iOS)   1%
3.1.3 (iOS)   1%
3.0.2 (iOS)   <1%
3.1.6 (iOS)   <1%
3.0 (iOS)   <1%
3.1.1 (iOS)   <1%
3.1.2 (iOS)   <1%

Top Events

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

events counts
1.
/launched
(6)
4,098,153
2.
/updates_view
3,998,725
3.
/book_view
2,495,975
4.
/myBooks_view
2,139,575
5.
/search
(7)
1,964,137
6.
/shelf
(3)
1,446,526
7.
/more_tab
1,336,860
8.
/search_view
1,309,236
9.
/shelf_picker_view
1,269,939
10.
/book_list_view
1,044,491
11.
/progress_view
1,016,353
12.
/ratings
(6)
899,459
13.
/simple_web_vc
846,921
14.
/review_view
780,029
15.
/notifications
(2)
587,738
16.
/author_view
580,996
17.
/status_updates
(2)
567,540
18.
/user_view
442,160
19.
search_both_from_search_page
423,048
20.
/barcode
(1)
409,950
21.
/challenge_my_status
320,112
22.
/mybooks_search_view
269,487
23.
/sign_in_welcome
183,842
24.
/write_review_view
182,376
25.
/recommendations
166,599
26.
/message_list
155,619
27.
/friends_view
147,919
28.
/explore
141,884
29.
/comments_page
140,408
30.
/topic_show
133,629
31.
/whats_new
131,273
32.
/rate_books
(2)
112,937
33.
/likes_unlikes
(2)
103,377
34.
/friends_requests_view
99,052
35.
/sign_in_view
96,561
36.
/message_show
95,428
37.
/listType
79,368
38.
/sign_in
(3)
78,352
39.
/challenge_friends_list
75,075
40.
/findfriends_choice
67,683
41.
/recs_genre_selector
64,941
42.
/comments
(13)
63,483
43.
/group_list
62,171
44.
/write_comment_view
61,946
45.
/settings_view
60,597
46.
/gr_web_view/choiceawards
60,107
47.
/home_jump_screen
58,751
48.
/read_statuses_show
54,830
49.
/friend_requests
(2)
52,383
50.
/listopic_show
49,602
51.
/user_status_show
48,742
52.
/group_show
45,568
53.
/messages
(2)
44,214
54.
/fav_genres_edit
42,715
55.
/sign_up_view
42,422
56.
/error
(20)
41,927
57.
/fb_invites
(7)
41,331
58.
/sign_up
(3)
37,286
59.
/challenge_signup_page
32,436
60.
/folder_show
31,572
61.
/manageEBooks
30,107
62.
/listEbooks
26,485
63.
/recs_book_info
26,058
64.
/add_fb_friends
25,045
65.
/rate_books_genre_selector
24,029
66.
/message_new
23,157
67.
/challenge_friend_status
22,993
68.
/ereader_view
22,191
69.
/findfriends
20,735
70.
/recs_shelf_selector
19,877
71.
/challenge
(5)
18,391
72.
/profile_photo_edit
18,168
73.
search_author_from_search_page
17,651
74.
search_title_from_search_page
16,229
75.
/event_view
15,468
76.
/recommendation_show
14,714
77.
sign_up_event
13,378
78.
/write_status_view
12,223
79.
/share_book
(6)
10,427
80.
/findfriends_fb
8,141
81.
/friends_select_view
8,001
82.
/gr_web_view/private/var/mobile/Containers/Bundle/Application/Goodreads
(1)
7,940
83.
/addressbook_invites
(4)
7,694
84.
/gr_web_view
7,276
85.
/likers_page
6,371
86.
/rec_book_to_friends
6,265
87.
/group_search
5,201
88.
/recent_reviews
4,322
89.
/gr_web_view/event/show
4,015
90.
/amz_sign_in_ask
3,958
91.
/notification_settings
3,934
92.
/fb_sign_in_already_owned
3,539
93.
/bookmark_view
3,425
94.
/gr_web_view/help/list/iphone
3,344
95.
/gr_web_view/
(1)
3,066
96.
/eReaderChapters
2,823
97.
/fb_sign_in_ask
2,787
98.
/gr_web_view/watch
2,461
99.
/amz_sign_in_already_owned
1,871
100.
/fb_sign_up_app_invite_prompt_exp
1,828
101.
/appearance_view
1,682
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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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.