Measure

Log In

Explore

Goodreads Network

Monthly Uniques
21.9M US 52.2M Global

Goodreads for iOS Mobile App

822.2K US 1.3M Global
  •  
  • Quantified

    Directly Measured Data

Related Links


Updated Mar 30, 2015 • Next: Mar 31, 2015 by 9AM PDT
Last Month
For Feb 28, 2015 - Mar 29, 2015
Uniques Visits Installs Upgrades
Goodreads for iOS 3.1.3 (iOS) 570,207 2,542,546 213,690 75,665
Goodreads for iOS 3.1.5 (iOS) 361,041 1,122,478 106,048 269,497
Goodreads for iOS 3.1.4 (iOS) 169,603 363,373 35,833 137,912
Goodreads for iOS 2.5.4 (iOS) 26,562 143,887 8,895 664
Goodreads for iOS 3.0.2 (iOS) 12,758 56,625 5,707 634
See all 22 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  43
Female
 
 
154
 
 
 
< 18
 
  80
18-24
 
 
131
25-34
 
 
143
35-44
 
 
114
45-54
 
  75
55-64
 
  67
65+
 
  53
 
 
 
No Kids
 
  94
Has Kids
 
 
106
 
US Average
Index
 
 
$0-50k
 
  99
$50-100k
 
 
104
$100-150k
 
 
103
$150k+
 
  91
 
 
 
No College
 
  63
College
 
 
124
Grad School
 
 
149
 
 
 
Caucasian
 
 
110
African American
 
  45
Asian
 
  79
Hispanic
 
  83
Other
 
  95
 
US Average


Updated Mar 29, 2015 • Next: Apr 8, 2015 by 9AM PDT

Audience Interests


Top Interests

{{errorMsg}}
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.

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

Top Sites

{{errorMsg}}
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 Mar 29, 2015 • Next: Apr 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
760 days total
8,180,486 installs
100%
59%
55%
49%
44%
37%
24%
14%
6 months ago
September 30, 2014
11,678 installs
100%
58%
54%
48%
43%
35%
20%
3 months ago
December 30, 2014
16,355 installs
100%
57%
53%
44%
39%
31%
1 month ago
February 28, 2015
13,490 installs
100%
43%
37%
27%
19%
2 weeks ago
March 16, 2015
14,082 installs
100%
39%
33%
20%
1 week ago
March 23, 2015
13,339 installs
100%
31%
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   146,596
2-3   18,222
4-7   2,609
8-15   758
16-31   379
32-63   226
64-127   104
128-255   63
256-511   43
512+   30
1   370,846
2-3   221,636
4-7   123,360
8-15   70,101
16-31   40,121
32-63   24,169
64-127   14,426
128-255   8,360
256-511   4,656
512+   3,525

Top Countries

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

countries Visits % Of Total
1.
United States
4,440,647
62%
2.
United Kingdom
485,326
7%
3.
Canada
442,056
6%
4.
Australia
261,571
4%
5.
Saudi Arabia
111,139
2%
6.
Mexico
79,827
1%
7.
Netherlands
72,337
1%
8.
Philippines
71,325
1%
9.
Germany
64,941
1%
10.
Sweden
54,930
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 5S
164,782
20%
2.
iPhone 6
146,985
18%
3.
iPhone 5
97,955
12%
4.
iPhone 5C
71,826
9%
5.
iPhone 4S
55,768
7%
6.
iPad 2
48,857
6%
7.
iPhone 6 Plus
35,989
4%
8.
iPad mini
35,963
4%
9.
iPad Air
35,438
4%
10.
iPad 4th Gen
30,701
4%
11.
iPhone 4
24,550
3%
12.
iPad 3rd Gen
23,811
3%
13.
iPad mini with Retina display
16,169
2%
14.
iPod touch
15,830
2%
15.
iPad Air 2
12,923
2%
16.
iPad Mini 3
2,961
<1%
17.
iPad
2,751
<1%
18.
iPhone 3GS
645
<1%
19.
iOS Simulator
49
<1%
20.
iPad5,6
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
3,305,555
74%
2.
Cellular Data
1,092,360
25%
3.
No Internet Connection
42,732
1%

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

carriers Visits % Of Total
1.
WiFi
3,305,555
74%
2.
AT&T
464,283
10%
3.
Verizon Wireless
416,144
9%
4.
Sprintcom Inc
126,966
3%
5.
T-Mobile USA
63,809
1%
6.
Disconnected
42,732
1%
7.
US Cellular
5,685
<1%
8.
Cellular South Inc
4,083
<1%
9.
T-Mobile Deutschland GmbH
2,704
<1%
10.
Virgin Mobile
2,583
<1%
11.
Tracfone Wireless
1,563
<1%
12.
Unrecognized Carrier
1,284
<1%
13.
nTELOS Communications Inc (Virginia PCS Alliance LC)
1,082
<1%
14.
GCI Communications Corp.
463
<1%
15.
Cricket Communications
312
<1%
16.
Celcom (Malaysia) Berhad
138
<1%
17.
Union Telephone Company
98
<1%
18.
China Unicom
93
<1%
19.
Etisalat
89
<1%
20.
Bell Mobility
85
<1%
21.
North East Cellular Inc.
82
<1%
22.
Carolina West Wireless
80
<1%
23.
United Wireless Inc
63
<1%
24.
Bluegrass Cellular LLC
61
<1%
25.
Rogers Wireless
53
<1%
26.
SD Mobitel
32
<1%
27.
Cellular Properties Inc.
29
<1%
28.
Pine Telephone Company dba Pine Cellular
28
<1%
29.
Iowa Wireless Services LLC
27
<1%
30.
Vodafone Libertel N.V.
26
<1%
31.
Saudi Telecom
26
<1%
32.
Teleacre Cel
24
<1%
33.
Etihad Etisalat Company (Mobily)
23
<1%
34.
West Central Wireless
19
<1%
35.
SETEL GSM
18
<1%
36.
Telus Mobility
17
<1%
37.
China Mobile
17
<1%
38.
Nextel Communications Inc
13
<1%
39.
Not Reported
12
<1%
40.
Globe Telecom
12
<1%
41.
New Mexico RSA 4 East Ltd. Partnership
12
<1%
42.
Fido Solutions
10
<1%
43.
Omnitel Pronto Italia (OPI)
10
<1%
44.
Du
9
<1%
45.
Cablevision Systems Corporation
7
<1%
46.
Celtel
7
<1%
47.
QATARNET
7
<1%
48.
Telecommunication Company of Iran (TCI)
6
<1%
49.
Mobile Telecommunications Company
6
<1%
50.
O2 UK Ltd.
6
<1%
51.
Oman Qatari Telecommunications Company (Nawras)
6
<1%
52.
Three
5
<1%
53.
Digicel Ltd
5
<1%
54.
Areeba-Sudan
5
<1%
55.
Telenor Pakistan
4
<1%
56.
Telstra Corporation Ltd.
4
<1%
57.
Turkcell
4
<1%
58.
Wireless Communications Venture
4
<1%
59.
Blanca Telephone Company
4
<1%
60.
Mobinil
4
<1%
61.
NTT DoCoMo Hokuriku Inc.
4
<1%
62.
NTT DoCoMo Kansai Inc.
4
<1%
63.
Satelindo
4
<1%
64.
T-Mobile UK
4
<1%
65.
Telkomsel
3
<1%
66.
Vodafone
3
<1%
67.
WIND
3
<1%
68.
Instituto Costarricense de Electricidad - ICE
3
<1%
69.
KDDI Corporation
3
<1%
70.
Aria
3
<1%
71.
MTN Nigeria Communications
3
<1%
72.
MTPCS LLC
3
<1%
73.
O2 (Germany) GmbH & Co. OHG
3
<1%
74.
Optus Mobile Pty. Ltd.
3
<1%
75.
STC Bahrain
3
<1%
76.
Viva
2
<1%
77.
Zain Bahrain
2
<1%
78.
olleh Mobile
2
<1%
79.
Etisalet
2
<1%
80.
EMTS
2
<1%
81.
Airtel sprl
2
<1%
82.
Excelcomindo
2
<1%
83.
Hutchison 3G UK Ltd.
2
<1%
84.
Asia Cell
2
<1%
85.
Mobilink
2
<1%
86.
MTN Network Ltd.
2
<1%
87.
Netia Mobile
2
<1%
88.
SK Telecom
2
<1%
89.
Smith Bagley Inc, dba Cellular One
2
<1%
90.
Syriatel
2
<1%
91.
Telems Cel
1
<1%
92.
Telesc Cel
1
<1%
93.
Telsim GSM
1
<1%
94.
Vodafone - Panafon
1
<1%
95.
Vodafone D2 GmbH
1
<1%
96.
Vodafone New Zealand GSM Network
1
<1%
97.
Bharti Airtel Ltd., Tamil Nadu
1
<1%
98.
Videotron
1
<1%
99.
3 Ireland
1
<1%
100.
Advantage Cellular Systems, Inc.
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 / 8.1.3
357,985
44%
2.
iOS / 8.2
259,365
32%
3.
iOS / 8.1.2
88,466
11%
4.
iOS / 7.1.2
85,119
10%
5.
iOS / 8.1
32,990
4%
6.
iOS / 8.1.1
29,049
4%
7.
iOS / 7.1.1
27,742
3%
8.
iOS / 8.0.2
20,048
2%
9.
iOS / 7.0.4
13,213
2%
10.
iOS / 7.1
12,824
2%
11.
iOS / 8.0
10,811
1%
12.
iOS / 7.0.6
6,553
1%
13.
iOS / 6.1.3
4,656
1%
14.
iOS / 6.1.6
3,723
<1%
15.
iOS / 7.0.3
3,507
<1%
16.
iOS / 5.1.1
3,403
<1%
17.
iOS / 7.0.2
2,919
<1%
18.
iOS / 7.0
2,906
<1%
19.
iOS / 6.0.1
745
<1%
20.
iOS / 6.1.4
742
<1%
21.
iOS / 6.1.2
476
<1%
22.
iOS / 6.0
391
<1%
23.
iOS / 8.3
348
<1%
24.
iOS / 6.1
308
<1%
25.
iOS / 6.1.5
116
<1%
26.
iOS / 6.0.2
95
<1%
27.
iOS / 5.1
86
<1%
28.
iOS / 7.0.1
84
<1%
29.
iOS / 4.3.3
76
<1%
30.
iOS / 5.0.1
66
<1%
31.
iOS / 4.3.5
59
<1%
32.
iOS / 6.1.1
28
<1%
33.
iOS / 5.0
18
<1%
34.
iOS / 4.3.2
13
<1%
35.
iOS / 8.4
12
<1%
36.
iOS / 4.3
11
<1%
37.
iOS / 7.0.5
9
<1%
38.
iOS / 4.3.4
7
<1%
39.
iOS / 8.0.1
7
<1%
40.
iOS / 4.3.1
5
<1%
41.
iOS / 9.0
5
<1%
42.
iOS / 8.2.1
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%
3.1.3 (iOS)   57%
3.1.5 (iOS)   25%
3.1.4 (iOS)   8%
2.5.4 (iOS)   3%
3.0.2 (iOS)   1%
3.1.2 (iOS)   1%
3.1.1 (iOS)   1%
3.0 (iOS)   1%
3.1 (iOS)   1%
2.4 (iOS)   <1%

Top Events

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

events counts
1.
/launched
(6)
3,961,311
2.
/updates_view
3,774,862
3.
/book_view
2,361,376
4.
/myBooks_view
2,043,197
5.
/search
(7)
1,781,131
6.
/search_view
1,632,100
7.
/shelf
(3)
1,368,329
8.
/more_tab
1,337,318
9.
/shelf_picker_view
1,190,872
10.
/book_list_view
1,033,229
11.
/progress_view
941,381
12.
/ratings
(6)
845,720
13.
/simple_web_vc
806,031
14.
/review_view
733,985
15.
/notifications
(2)
594,563
16.
/author_view
563,341
17.
/status_updates
(2)
535,015
18.
/user_view
425,329
19.
/barcode
(1)
409,117
20.
/challenge_my_status
331,779
21.
/mybooks_search_view
259,132
22.
/message_list
203,870
23.
/sign_in_welcome
200,157
24.
/recommendations
173,516
25.
/write_review_view
167,814
26.
/explore
161,144
27.
/friends_view
150,343
28.
/topic_show
146,742
29.
/message_show
126,037
30.
/rate_books
(2)
125,819
31.
/home_jump_screen
122,601
32.
/comments_page
119,331
33.
/listType
104,157
34.
/sign_in_view
101,573
35.
/friends_requests_view
97,754
36.
/challenge_friends_list
90,642
37.
/likes_unlikes
(2)
86,646
38.
/gr_web_view/choiceawards
86,442
39.
/sign_in
(3)
81,955
40.
/group_list
70,501
41.
/findfriends_choice
68,883
42.
/settings_view
66,462
43.
/recs_genre_selector
64,554
44.
/write_comment_view
63,901
45.
/comments
(14)
60,714
46.
/whats_new
58,663
47.
/listopic_show
54,340
48.
/group_show
52,710
49.
/friend_requests
(2)
51,822
50.
/read_statuses_show
49,826
51.
/messages
(2)
49,109
52.
/user_status_show
46,199
53.
/fav_genres_edit
44,054
54.
/challenge_signup_page
43,404
55.
/sign_up_view
42,288
56.
/error
(23)
41,467
57.
/sign_up
(3)
38,272
58.
/folder_show
38,123
59.
/manageEBooks
36,659
60.
/recs_book_info
30,932
61.
/listEbooks
30,653
62.
/ereader_view
28,204
63.
/challenge_friend_status
27,887
64.
/rate_books_genre_selector
27,376
65.
/fb_invites
(7)
26,594
66.
/message_new
25,587
67.
/add_fb_friends
25,451
68.
/challenge
(5)
23,742
69.
/recs_shelf_selector
22,899
70.
/findfriends
19,940
71.
/event_view
17,670
72.
/profile_photo_edit
17,599
73.
/recommendation_show
14,684
74.
/write_status_view
11,613
75.
/gr_web_view
11,006
76.
/share_book
(6)
9,661
77.
/findfriends_fb
9,512
78.
/friends_select_view
8,879
79.
/addressbook_invites
(4)
7,166
80.
/gr_web_view/private/var/mobile/Containers/Bundle/Application/Goodreads
(1)
7,159
81.
/rec_book_to_friends
6,370
82.
/likers_page
6,058
83.
/group_search
5,086
84.
/recent_reviews
4,857
85.
/amz_sign_in_ask
4,241
86.
/bookmark_view
4,121
87.
/notification_settings
4,069
88.
/eReaderChapters
3,679
89.
/gr_web_view/event/show
3,525
90.
/gr_web_view/choice_awards
3,471
91.
/fb_sign_in_already_owned
3,338
92.
/gr_web_view/
(1)
2,875
93.
/fb_sign_in_ask
2,748
94.
/gr_web_view/help/list/iphone
2,480
95.
/appearance_view
2,203
96.
/amz_sign_in_already_owned
2,167
97.
/gr_web_view/poll/show
1,359
98.
/gr_web_view/var/mobile/Applications/Goodreads
(1)
1,312
99.
/gr_web_view/quotes
1,302
100.
/gr_web_view/author_blog_posts
1,149
101.
/gr_web_view/friend/show
1,134
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.

Access Pending

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.

FacebookTwitterLinkedInYouTube

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.

Request for Quantification Pending

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.



xCreate a Network

Note: The name you enter here will be publicly viewable.

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.