Goodreads Network

Monthly Uniques
19.1M US 44.3M Global

Goodreads for iOS Mobile App

811.6K US 1.3M Global


Updated Jun 29, 2015 • Next: Jun 30, 2015 by 9AM PDT
Last Month
For May 30, 2015 - Jun 28, 2015
Uniques Visits Installs Upgrades
Goodreads for iOS 3.1.7 (iOS) 720,336 3,938,483 107,376 284,440
Goodreads for iOS 3.1.5 (iOS) 31,313 140,804 283 7,331
Goodreads for iOS 2.5.4 (iOS) 16,958 94,238 1,827 434
Goodreads for iOS 3.1.3 (iOS) 14,307 63,117 169 2,807
Goodreads for iOS 3.1.6 (iOS) 9,093 39,612 92 3,057
See all 23 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  54
Female
 
 
144
 
 
 
< 18
 
  77
18-24
 
 
140
25-34
 
 
140
35-44
 
 
106
45-54
 
  79
55-64
 
  72
65+
 
  56
 
 
 
No Kids
 
 
103
Has Kids
 
  97
 
US Average
Index
 
 
$0-50k
 
  99
$50-100k
 
 
101
$100-150k
 
 
104
$150k+
 
  93
 
 
 
No College
 
  58
College
 
 
123
Grad School
 
 
166
 
 
 
Caucasian
 
 
108
African American
 
  51
Asian
 
  96
Hispanic
 
  85
Other
 
  96
 
US Average


Updated Jun 28, 2015 • Next: Jul 8, 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 Jun 28, 2015 • Next: Jul 8, 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
852 days total
9,399,744 installs
100%
58%
54%
47%
42%
36%
23%
13%
6 months ago
December 30, 2014
16,355 installs
100%
59%
55%
47%
42%
35%
21%
3 months ago
March 30, 2015
12,582 installs
100%
45%
39%
29%
24%
19%
1 month ago
May 30, 2015
13,475 installs
100%
43%
37%
27%
20%
0%
2 weeks ago
June 16, 2015
13,553 installs
100%
36%
29%
17%
1 week ago
June 23, 2015
14,483 installs
100%
30%
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   138,110
2-3   18,689
4-7   2,311
8-15   648
16-31   309
32-63   200
64-127   110
128-255   53
256-511   37
512+   20
1   381,576
2-3   196,033
4-7   106,877
8-15   65,424
16-31   40,573
32-63   25,437
64-127   16,001
128-255   9,681
256-511   5,407
512+   4,560

Top Countries

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

countries Visits % Of Total
1.
United States
4,407,935
63%
2.
United Kingdom
465,942
7%
3.
Canada
418,596
6%
4.
Australia
251,925
4%
5.
Saudi Arabia
86,333
1%
6.
Philippines
83,678
1%
7.
Mexico
76,726
1%
8.
Netherlands
71,257
1%
9.
Germany
69,044
1%
10.
Italy
51,324
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
192,589
24%
2.
iPhone 5S
162,686
20%
3.
iPhone 5
79,555
10%
4.
iPhone 5C
69,240
9%
5.
iPhone 6 Plus
45,070
6%
6.
iPhone 4S
43,091
5%
7.
iPad 2
41,090
5%
8.
iPad Air
32,315
4%
9.
iPad mini
31,594
4%
10.
iPad 4th Gen
26,001
3%
11.
iPad 3rd Gen
20,457
3%
12.
iPhone 4
17,841
2%
13.
iPad mini with Retina display
16,069
2%
14.
iPad Air 2
15,536
2%
15.
iPod touch
13,964
2%
16.
iPad Mini 3
4,109
1%
17.
iPad
2,066
<1%
18.
iPhone 3GS
462
<1%
19.
iOS Simulator
92
<1%
20.
iPhone8,1
2
<1%
21.
iPhone8,2
1
<1%
See all 21 device models

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

connections Visits % Of Total
1.
WiFi
3,231,129
73%
2.
Cellular Data
1,136,331
26%
3.
No Internet Connection
40,475
1%

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

carriers Visits % Of Total
1.
WiFi
3,231,129
73%
2.
AT&T
475,018
11%
3.
Verizon Wireless
438,575
10%
4.
Sprintcom Inc
134,331
3%
5.
T-Mobile USA
67,682
2%
6.
Disconnected
40,475
1%
7.
US Cellular
5,778
<1%
8.
Cellular South Inc
4,045
<1%
9.
T-Mobile Deutschland GmbH
2,999
<1%
10.
Virgin Mobile
2,131
<1%
11.
Tracfone Wireless
1,571
<1%
12.
Unrecognized Carrier
1,280
<1%
13.
nTELOS Communications Inc (Virginia PCS Alliance LC)
983
<1%
14.
GCI Communications Corp.
547
<1%
15.
Cricket Communications
160
<1%
16.
Celcom (Malaysia) Berhad
116
<1%
17.
Rogers Wireless
78
<1%
18.
North East Cellular Inc.
75
<1%
19.
Bluegrass Cellular LLC
72
<1%
20.
Cellular Properties Inc.
64
<1%
21.
Union Telephone Company
63
<1%
22.
Bell Mobility
63
<1%
23.
United Wireless Inc
61
<1%
24.
SETEL GSM
46
<1%
25.
China Unicom
41
<1%
26.
Carolina West Wireless
39
<1%
27.
Etisalat
37
<1%
28.
West Central Wireless
35
<1%
29.
Iowa Wireless Services LLC
32
<1%
30.
Pine Telephone Company dba Pine Cellular
30
<1%
31.
Telecommunication Company of Iran (TCI)
24
<1%
32.
Saudi Telecom
23
<1%
33.
Etihad Etisalat Company (Mobily)
19
<1%
34.
Telus Mobility
18
<1%
35.
Not Reported
16
<1%
36.
SD Mobitel
16
<1%
37.
Vodafone Libertel N.V.
15
<1%
38.
Teleacre Cel
15
<1%
39.
China Mobile
13
<1%
40.
Hutchison 3G UK Ltd.
11
<1%
41.
New Mexico RSA 4 East Ltd. Partnership
11
<1%
42.
Telcel
11
<1%
43.
Telstra Corporation Ltd.
9
<1%
44.
Nextel Communications Inc
8
<1%
45.
Du
7
<1%
46.
O2 (Germany) GmbH & Co. OHG
7
<1%
47.
Optus Mobile Pty. Ltd.
7
<1%
48.
Telkomsel
6
<1%
49.
Wireless Communications Venture
5
<1%
50.
Cablevision Systems Corporation
5
<1%
51.
T-Mobile UK
5
<1%
52.
Vodafone
4
<1%
53.
GSM900/HKCSL
4
<1%
54.
Illinois Valley Cellular
4
<1%
55.
Mobile Telecommunications Ltd.
4
<1%
56.
MTN Network Ltd.
4
<1%
57.
O2 UK Ltd.
4
<1%
58.
Viva
3
<1%
59.
Vodafone Ltd.
3
<1%
60.
Blanca Telephone Company
3
<1%
61.
GoMobile SamoaTel Ltd
3
<1%
62.
Latvijas Mobilais Telefons SIA
3
<1%
63.
MTPCS LLC
3
<1%
64.
QATARNET
3
<1%
65.
Roshan
3
<1%
66.
BATELCO
3
<1%
67.
SingTel ST
3
<1%
68.
Turkcell
2
<1%
69.
Iusacell / Unefon
2
<1%
70.
Bharti Hexacom Ltd, Rajasthan
2
<1%
71.
Fido Solutions
2
<1%
72.
3 Ireland
2
<1%
73.
CAT CDMA
2
<1%
74.
CJSC Indigo Tajikistan
2
<1%
75.
Digicel Ltd
2
<1%
76.
ETH MTN
2
<1%
77.
Fastlink
2
<1%
78.
Golan Telecom Ltd
2
<1%
79.
Hutchinson Essar Ltd, Mumbai
2
<1%
80.
Mobilink
2
<1%
81.
Mobinil
2
<1%
82.
Sl Wireless LLC
2
<1%
83.
Telcel, C.A.
2
<1%
84.
Telefónica Móviles Colombia S.A.
1
<1%
85.
Telest Cel
1
<1%
86.
Verizon Dominicana S.A.
1
<1%
87.
Vodafone Czech Republic a.s.
1
<1%
88.
Vodafone D2 GmbH
1
<1%
89.
Vodafone España, SAU
1
<1%
90.
Vodafone Ireland Plc
1
<1%
91.
Warid Telecom
1
<1%
92.
Wataniya Telecom
1
<1%
93.
Zain Bahrain
1
<1%
94.
Taiwan Mobile
1
<1%
95.
Videotron
1
<1%
96.
Bouygues Telecom
1
<1%
97.
Cellcom Israel Ltd.
1
<1%
98.
Cosmote
1
<1%
99.
EMTS
1
<1%
100.
Excelcomindo
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
562,271
69%
2.
iOS / 7.1.2
51,916
6%
3.
iOS / 8.2
41,660
5%
4.
iOS / 8.1.3
37,173
5%
5.
iOS / 8.1.2
31,332
4%
6.
iOS / 7.1.1
17,323
2%
7.
iOS / 8.1
15,577
2%
8.
iOS / 8.1.1
12,396
2%
9.
iOS / 8.0.2
8,523
1%
10.
iOS / 7.0.4
8,434
1%
11.
iOS / 7.1
8,382
1%
12.
iOS / 8.0
4,563
1%
13.
iOS / 7.0.6
4,077
1%
14.
iOS / 6.1.6
2,820
<1%
15.
iOS / 6.1.3
2,817
<1%
16.
iOS / 5.1.1
2,538
<1%
17.
iOS / 7.0.3
2,348
<1%
18.
iOS / 7.0
1,926
<1%
19.
iOS / 7.0.2
1,903
<1%
20.
iOS / 6.0.1
468
<1%
21.
iOS / 6.1.4
442
<1%
22.
iOS / 8.4
418
<1%
23.
iOS / 9.0
362
<1%
24.
iOS / 6.1.2
300
<1%
25.
iOS / 6.0
248
<1%
26.
iOS / 6.1
212
<1%
27.
iOS / 6.1.5
85
<1%
28.
iOS / 7.0.1
67
<1%
29.
iOS / 4.3.3
57
<1%
30.
iOS / 4.3.5
52
<1%
31.
iOS / 5.1
50
<1%
32.
iOS / 6.0.2
45
<1%
33.
iOS / 5.0.1
38
<1%
34.
iOS / 6.1.1
23
<1%
35.
iOS / 5.0
16
<1%
36.
iOS / 4.3.2
13
<1%
37.
iOS / 4.3
6
<1%
38.
iOS / 4.3.1
6
<1%
39.
iOS / 7.0.5
3
<1%
40.
iOS / 4.3.4
1
<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%
3.1.7 (iOS)   89%
3.1.5 (iOS)   3%
2.5.4 (iOS)   2%
3.1.3 (iOS)   1%
3.1.6 (iOS)   1%
3.0.2 (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)
4,026,748
2.
/updates_view
3,899,103
3.
/book_view
2,465,502
4.
/myBooks_view
2,116,213
5.
/search
(7)
1,910,898
6.
/search_view
1,728,903
7.
/shelf
(3)
1,434,301
8.
/more_tab
1,335,159
9.
/shelf_picker_view
1,259,423
10.
/book_list_view
1,058,662
11.
/progress_view
985,616
12.
/ratings
(6)
874,224
13.
/simple_web_vc
858,563
14.
/review_view
771,611
15.
/notifications
(2)
600,020
16.
/author_view
584,482
17.
/status_updates
(2)
555,682
18.
/user_view
433,326
19.
/barcode
(1)
428,235
20.
/challenge_my_status
329,247
21.
/mybooks_search_view
270,161
22.
/sign_in_welcome
187,444
23.
/write_review_view
175,629
24.
/recommendations
169,355
25.
/message_list
165,562
26.
/explore
152,690
27.
/friends_view
151,860
28.
/topic_show
135,579
29.
/whats_new
134,674
30.
/comments_page
132,402
31.
/rate_books
(2)
115,936
32.
/message_show
99,581
33.
/sign_in_view
99,499
34.
/friends_requests_view
98,839
35.
/likes_unlikes
(2)
98,351
36.
/listType
88,595
37.
/challenge_friends_list
82,579
38.
/sign_in
(3)
81,769
39.
/home_jump_screen
79,445
40.
/recs_genre_selector
67,476
41.
/findfriends_choice
66,322
42.
/gr_web_view/choiceawards
65,533
43.
/group_list
65,528
44.
/settings_view
63,127
45.
/read_statuses_show
62,474
46.
/write_comment_view
62,129
47.
/comments
(13)
61,882
48.
/user_status_show
55,318
49.
/listopic_show
54,380
50.
/friend_requests
(2)
52,187
51.
/group_show
47,738
52.
/messages
(2)
44,348
53.
/fb_invites
(7)
42,269
54.
/fav_genres_edit
41,530
55.
/error
(21)
41,386
56.
/sign_up_view
39,410
57.
/challenge_signup_page
37,314
58.
/sign_up
(3)
35,260
59.
/folder_show
34,109
60.
/manageEBooks
31,774
61.
/recs_book_info
28,971
62.
/listEbooks
28,560
63.
/rate_books_genre_selector
26,484
64.
/add_fb_friends
25,005
65.
/challenge_friend_status
24,373
66.
/ereader_view
23,469
67.
/challenge
(5)
23,258
68.
/message_new
23,138
69.
/recs_shelf_selector
20,792
70.
/findfriends
20,624
71.
/profile_photo_edit
18,553
72.
/event_view
16,312
73.
/recommendation_show
13,910
74.
/write_status_view
12,281
75.
/share_book
(6)
10,357
76.
/gr_web_view
8,860
77.
/friends_select_view
8,212
78.
/gr_web_view/private/var/mobile/Containers/Bundle/Application/Goodreads
(1)
7,926
79.
/findfriends_fb
7,848
80.
/addressbook_invites
(4)
7,421
81.
/likers_page
6,422
82.
/rec_book_to_friends
6,186
83.
/group_search
5,256
84.
/recent_reviews
4,356
85.
/amz_sign_in_ask
3,914
86.
/notification_settings
3,833
87.
/gr_web_view/event/show
3,526
88.
/fb_sign_in_already_owned
3,478
89.
/bookmark_view
3,382
90.
/gr_web_view/
(1)
3,291
91.
/fb_sign_in_ask
2,755
92.
/eReaderChapters
2,752
93.
/gr_web_view/help/list/iphone
2,415
94.
/amz_sign_in_already_owned
1,947
95.
/appearance_view
1,839
96.
/gr_web_view/poll/show
1,403
97.
/gr_web_view/watch
1,337
98.
/gr_web_view/quotes
1,329
99.
/fb_sign_up_app_invite_prompt_exp
1,304
100.
/gr_web_view/friend/show
1,236
101.
/quit_app
(1)
1,084
See top 100 events

Request Access

Quantified Publishers can hide some or all of their profile data from public view. Clicking this link will send a request to the profile owner to grant you full visibility. If you are granted access you will be notified via email and a home page notification.

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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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You have sent a request to this site's owner to get quantified. You will be notified via email when this site becomes quantified.

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.