Goodreads Network

Monthly Uniques
19.2M US 50.0M Global

Goodreads for iOS Mobile App

822.8K US 1.3M Global


Updated Aug 30, 2015 • Next: Aug 31, 2015 by 9AM PDT
Last Month
For Jul 31, 2015 - Aug 29, 2015
Uniques Visits Installs Upgrades
Goodreads for iOS 3.1.7 (iOS) 618,076 2,838,008 64,027 98,140
Goodreads for iOS 3.1.8 (iOS) 403,215 1,384,274 45,262 357,890
Goodreads for iOS 2.5.4 (iOS) 12,704 68,302 1,478 283
Goodreads for iOS 3.1.5 (iOS) 12,259 55,309 155 2,292
Goodreads for iOS 3.1.3 (iOS) 7,992 34,351 106 1,427
See all 26 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  48
Female
 
 
150
 
 
 
< 18
 
  73
18-24
 
 
137
25-34
 
 
146
35-44
 
 
107
45-54
 
  77
55-64
 
  71
65+
 
  63
 
 
 
No Kids
 
 
104
Has Kids
 
  96
 
US Average
Index
 
 
$0-50k
 
  99
$50-100k
 
 
100
$100-150k
 
 
109
$150k+
 
  96
 
 
 
No College
 
  64
College
 
 
120
Grad School
 
 
156
 
 
 
Caucasian
 
 
110
African American
 
  46
Asian
 
  87
Hispanic
 
  78
Other
 
  95
 
US Average


Updated Aug 30, 2015 • Next: Sep 9, 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.

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Updated Aug 30, 2015 • Next: Sep 9, 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
914 days total
10,305,033 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 31, 2015
15,194 installs
100%
47%
42%
34%
29%
22%
1 month ago
July 31, 2015
13,101 installs
100%
41%
36%
26%
18%
2 weeks ago
August 17, 2015
14,284 installs
100%
38%
31%
18%
1 week ago
August 24, 2015
15,936 installs
100%
30%
22%

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   137,244
2-3   19,813
4-7   2,396
8-15   645
16-31   254
32-63   156
64-127   90
128-255   58
256-511   18
512+   14
1   373,981
2-3   215,558
4-7   121,178
8-15   71,301
16-31   42,173
32-63   25,272
64-127   15,245
128-255   9,021
256-511   4,928
512+   3,782

Top Countries

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

countries Visits % Of Total
1.
United States
4,479,331
61%
2.
United Kingdom
494,291
7%
3.
Canada
456,447
6%
4.
Australia
252,781
3%
5.
Saudi Arabia
93,190
1%
6.
Netherlands
79,881
1%
7.
Mexico
75,080
1%
8.
Germany
74,387
1%
9.
Philippines
70,876
1%
10.
Italy
62,810
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
224,497
27%
2.
iPhone 5S
161,976
20%
3.
iPhone 5
70,891
9%
4.
iPhone 5C
66,770
8%
5.
iPhone 6 Plus
51,592
6%
6.
iPad 2
38,028
5%
7.
iPhone 4S
35,860
4%
8.
iPad Air
33,005
4%
9.
iPad mini
30,708
4%
10.
iPad 4th Gen
25,321
3%
11.
iPad 3rd Gen
19,052
2%
12.
iPad Air 2
19,007
2%
13.
iPad mini with Retina display
16,463
2%
14.
iPhone 4
14,593
2%
15.
iPod touch
12,591
2%
16.
iPad Mini 3
4,724
1%
17.
iPad
1,752
<1%
18.
iPhone 3GS
378
<1%
19.
iPod7,1
289
<1%
20.
iOS Simulator
183
<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
3,300,834
74%
2.
Cellular Data
1,141,266
25%
3.
No Internet Connection
37,231
1%

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

carriers Visits % Of Total
1.
WiFi
3,300,834
74%
2.
AT&T
465,754
10%
3.
Verizon Wireless
445,051
10%
4.
Sprintcom Inc
135,822
3%
5.
T-Mobile USA
74,275
2%
6.
Disconnected
37,231
1%
7.
US Cellular
6,006
<1%
8.
Cellular South Inc
3,738
<1%
9.
T-Mobile Deutschland GmbH
3,379
<1%
10.
Virgin Mobile
2,042
<1%
11.
Tracfone Wireless
1,369
<1%
12.
Unrecognized Carrier
1,050
<1%
13.
nTELOS Communications Inc (Virginia PCS Alliance LC)
812
<1%
14.
GCI Communications Corp.
522
<1%
15.
Union Telephone Company
103
<1%
16.
Cricket Communications
94
<1%
17.
Celcom (Malaysia) Berhad
87
<1%
18.
Carolina West Wireless
85
<1%
19.
China Unicom
81
<1%
20.
MobileOne
68
<1%
21.
Iowa Wireless Services LLC
53
<1%
22.
North East Cellular Inc.
42
<1%
23.
Etisalat
39
<1%
24.
Telus Mobility
37
<1%
25.
Pine Telephone Company dba Pine Cellular
33
<1%
26.
Hutchison 3G UK Ltd.
31
<1%
27.
Rogers Wireless
30
<1%
28.
Zain Bahrain
29
<1%
29.
Etihad Etisalat Company (Mobily)
29
<1%
30.
West Central Wireless
27
<1%
31.
China Mobile
27
<1%
32.
SD Mobitel
25
<1%
33.
Telecommunication Company of Iran (TCI)
24
<1%
34.
Verizon Dominicana S.A.
24
<1%
35.
SETEL GSM
21
<1%
36.
BATELCO
20
<1%
37.
Not Reported
19
<1%
38.
Fido Solutions
17
<1%
39.
Illinois Valley Cellular
17
<1%
40.
Bluegrass Cellular LLC
16
<1%
41.
Saudi Telecom
16
<1%
42.
Smith Bagley Inc, dba Cellular One
16
<1%
43.
Turkcell
15
<1%
44.
United Wireless Inc
15
<1%
45.
olleh Mobile
13
<1%
46.
O2 UK Ltd.
13
<1%
47.
Bell Mobility
13
<1%
48.
Du
10
<1%
49.
Globe Telecom
10
<1%
50.
Telcel
10
<1%
51.
Telstra Corporation Ltd.
9
<1%
52.
KDDI Corporation
9
<1%
53.
New Mexico RSA 4 East Ltd. Partnership
9
<1%
54.
SingTel ST
9
<1%
55.
Idea Cellular Ltd., Maharashtra
7
<1%
56.
Optus Mobile Pty. Ltd.
7
<1%
57.
Mobile Telecommunications Company
6
<1%
58.
WIND
5
<1%
59.
Cablevision Systems Corporation
5
<1%
60.
Cellular Properties Inc.
5
<1%
61.
QATARNET
5
<1%
62.
Safaricom Ltd.
5
<1%
63.
Telkomsel
4
<1%
64.
Telsim GSM
4
<1%
65.
Excelcomindo
4
<1%
66.
Golan Telecom Ltd
4
<1%
67.
GSM900/HKCSL
4
<1%
68.
MTPCS LLC
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.
Vodafone Libertel N.V.
3
<1%
75.
Vodafone Network Pty. Ltd.
3
<1%
76.
DAVE Wireless
3
<1%
77.
3 Ireland
3
<1%
78.
CTMR Cel
3
<1%
79.
T-Mobile Netherlands B.V.
3
<1%
80.
Telefónica Móviles Colombia S.A.
2
<1%
81.
Viva
2
<1%
82.
Vodafone Ireland Plc
2
<1%
83.
Vodafone Romania SA
2
<1%
84.
Bharti Airtel Ltd., Mumbai
2
<1%
85.
Etisalet
2
<1%
86.
DNA Oy
2
<1%
87.
Entel Telefónica Móvil
2
<1%
88.
ERA GSM (Polska Telefonia Cyfrowa Sp. Z.o.o.)
2
<1%
89.
GoMobile SamoaTel Ltd
2
<1%
90.
Hutchison Essar Mobile Services Ltd, Delhi
2
<1%
91.
Hutchison Telecom East Ltd, Kolkata
2
<1%
92.
Ittissalat Al Maghrid
2
<1%
93.
Areeba-Sudan
2
<1%
94.
Méditélécom (GSM)
2
<1%
95.
MTN Rwandacell
2
<1%
96.
Nextel Communications Inc
2
<1%
97.
NTT DoCoMo Hokuriku Inc.
2
<1%
98.
Oman Qatari Telecommunications Company (Nawras)
2
<1%
99.
PAK Telecom Mobile Ltd. (UFONE)
2
<1%
100.
Reliance Telecom Ltd., Madhya Pradesh
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
420,127
51%
2.
iOS / 8.4.1
229,143
28%
3.
iOS / 8.3
150,137
18%
4.
iOS / 7.1.2
39,269
5%
5.
iOS / 8.1.3
21,657
3%
6.
iOS / 8.2
20,680
3%
7.
iOS / 8.1.2
20,148
2%
8.
iOS / 7.1.1
12,842
2%
9.
iOS / 8.1
10,873
1%
10.
iOS / 8.1.1
8,283
1%
11.
iOS / 7.0.4
6,445
1%
12.
iOS / 7.1
6,248
1%
13.
iOS / 8.0.2
5,588
1%
14.
iOS / 9.0
4,151
1%
15.
iOS / 7.0.6
3,107
<1%
16.
iOS / 8.0
3,072
<1%
17.
iOS / 6.1.6
2,291
<1%
18.
iOS / 5.1.1
2,138
<1%
19.
iOS / 6.1.3
2,085
<1%
20.
iOS / 7.0.3
1,705
<1%
21.
iOS / 7.0
1,439
<1%
22.
iOS / 7.0.2
1,435
<1%
23.
iOS / 6.0.1
324
<1%
24.
iOS / 6.1.4
274
<1%
25.
iOS / 6.1.2
232
<1%
26.
iOS / 6.0
170
<1%
27.
iOS / 6.1
152
<1%
28.
iOS / 6.1.5
52
<1%
29.
iOS / 5.0.1
46
<1%
30.
iOS / 7.0.1
45
<1%
31.
iOS / 4.3.3
44
<1%
32.
iOS / 4.3.5
42
<1%
33.
iOS / 6.0.2
37
<1%
34.
iOS / 5.1
34
<1%
35.
iOS / 4.3.2
11
<1%
36.
iOS / 6.1.1
10
<1%
37.
iOS / 5.0
9
<1%
38.
iOS / 4.3.1
7
<1%
39.
iOS / 4.3
6
<1%
40.
iOS / 7.0.5
5
<1%
41.
iOS / 4.3.4
3
<1%
42.
iOS / 8.0.1
1
<1%
43.
iOS / 9.1
1
<1%
See all 43 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)   63%
3.1.8 (iOS)   31%
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)
4,070,342
2.
/updates_view
3,972,011
3.
/book_view
2,479,710
4.
/myBooks_view
2,120,330
5.
/search
(7)
1,969,094
6.
/shelf
(3)
1,437,123
7.
/more_tab
1,323,702
8.
/shelf_picker_view
1,261,254
9.
/search_view
1,206,874
10.
/book_list_view
1,034,902
11.
/progress_view
1,005,515
12.
/ratings
(6)
892,085
13.
/simple_web_vc
840,715
14.
/review_view
772,731
15.
/notifications
(2)
580,357
16.
/author_view
578,911
17.
/status_updates
(2)
560,346
18.
search_both_from_search_page
514,110
19.
/user_view
437,632
20.
/barcode
(1)
407,436
21.
/challenge_my_status
316,899
22.
/mybooks_search_view
267,544
23.
/sign_in_welcome
183,408
24.
/write_review_view
180,783
25.
/recommendations
165,295
26.
/message_list
153,344
27.
/friends_view
146,340
28.
/explore
140,872
29.
/comments_page
138,615
30.
/topic_show
131,955
31.
/whats_new
130,826
32.
/rate_books
(2)
113,324
33.
/likes_unlikes
(2)
102,737
34.
/friends_requests_view
98,212
35.
/sign_in_view
95,987
36.
/message_show
93,762
37.
/listType
78,763
38.
/sign_in
(3)
77,752
39.
/challenge_friends_list
74,284
40.
/findfriends_choice
67,704
41.
/recs_genre_selector
64,467
42.
/comments
(13)
62,640
43.
/group_list
61,521
44.
/write_comment_view
61,116
45.
/settings_view
59,985
46.
/gr_web_view/choiceawards
59,403
47.
/home_jump_screen
57,970
48.
/read_statuses_show
54,207
49.
/friend_requests
(2)
51,786
50.
/listopic_show
48,994
51.
/user_status_show
48,193
52.
/group_show
45,049
53.
/messages
(2)
43,770
54.
/fav_genres_edit
42,808
55.
/sign_up_view
42,721
56.
/error
(19)
41,450
57.
/fb_invites
(7)
40,861
58.
/sign_up
(3)
37,498
59.
/challenge_signup_page
31,963
60.
/folder_show
31,169
61.
/manageEBooks
29,845
62.
/listEbooks
26,324
63.
/recs_book_info
25,982
64.
/add_fb_friends
24,826
65.
/rate_books_genre_selector
24,023
66.
/message_new
22,925
67.
/challenge_friend_status
22,724
68.
/ereader_view
22,068
69.
search_author_from_search_page
21,359
70.
/findfriends
20,683
71.
search_title_from_search_page
19,763
72.
/recs_shelf_selector
19,739
73.
/challenge
(5)
18,113
74.
/profile_photo_edit
17,924
75.
sign_up_event
15,668
76.
/event_view
15,323
77.
/recommendation_show
14,552
78.
/write_status_view
12,066
79.
/share_book
(6)
10,330
80.
/findfriends_fb
8,056
81.
/friends_select_view
7,927
82.
/gr_web_view/private/var/mobile/Containers/Bundle/Application/Goodreads
(1)
7,768
83.
/addressbook_invites
(4)
7,636
84.
/gr_web_view
7,226
85.
/likers_page
6,315
86.
/rec_book_to_friends
6,238
87.
/group_search
5,082
88.
/recent_reviews
4,386
89.
/gr_web_view/event/show
4,345
90.
/amz_sign_in_ask
3,934
91.
/notification_settings
3,800
92.
/gr_web_view/help/list/iphone
3,538
93.
/fb_sign_in_already_owned
3,491
94.
/bookmark_view
3,414
95.
/gr_web_view/
(1)
3,076
96.
/eReaderChapters
2,789
97.
/fb_sign_in_ask
2,750
98.
/gr_web_view/watch
2,424
99.
/amz_sign_in_already_owned
1,853
100.
/fb_sign_up_app_invite_prompt_exp
1,831
101.
/appearance_view
1,658
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.

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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.