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Goodreads Network

Monthly Uniques
21.0M US 51.1M Global

Goodreads for iOS Mobile App

805.3K US 1.3M Global
  •  
  • Quantified

    Directly Measured Data

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Updated Apr 20, 2015 • Next: Apr 21, 2015 by 9AM PDT
Last Month
For Mar 21, 2015 - Apr 19, 2015
Uniques Visits Installs Upgrades
Goodreads for iOS 3.1.5 (iOS) 689,861 3,554,055 224,537 429,337
Goodreads for iOS 3.1.3 (iOS) 61,380 249,113 14,294 8,222
Goodreads for iOS 2.5.4 (iOS) 23,153 124,728 4,923 631
Goodreads for iOS 3.1.4 (iOS) 21,052 63,515 4,064 8,738
Goodreads for iOS 3.0.2 (iOS) 10,086 43,791 2,662 728
See all 21 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  43
Female
 
 
154
 
 
 
< 18
 
  85
18-24
 
 
144
25-34
 
 
142
35-44
 
 
106
45-54
 
  74
55-64
 
  62
65+
 
  52
 
 
 
No Kids
 
  99
Has Kids
 
 
102
 
US Average
Index
 
 
$0-50k
 
  99
$50-100k
 
 
104
$100-150k
 
  98
$150k+
 
  94
 
 
 
No College
 
  69
College
 
 
120
Grad School
 
 
139
 
 
 
Caucasian
 
 
107
African American
 
  51
Asian
 
  93
Hispanic
 
  92
Other
 
  97
 
US Average


Updated Apr 19, 2015 • Next: Apr 29, 2015 by 9AM PDT

Audience Interests


Top Interests

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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.

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Top Sites

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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 Apr 19, 2015 • Next: Apr 29, 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
782 days total
8,477,085 installs
100%
59%
55%
48%
43%
37%
24%
13%
6 months ago
October 21, 2014
11,449 installs
100%
56%
52%
46%
40%
33%
20%
3 months ago
January 21, 2015
11,752 installs
100%
51%
46%
38%
32%
24%
1 month ago
March 21, 2015
13,779 installs
100%
42%
36%
27%
19%
2 weeks ago
April 7, 2015
14,826 installs
100%
34%
26%
14%
1 week ago
April 14, 2015
14,545 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   138,149
2-3   19,241
4-7   2,506
8-15   650
16-31   306
32-63   161
64-127   82
128-255   56
256-511   25
512+   22
1   391,163
2-3   202,341
4-7   107,238
8-15   62,298
16-31   36,939
32-63   21,979
64-127   13,467
128-255   7,915
256-511   4,421
512+   3,456

Top Countries

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

countries Visits % Of Total
1.
United States
4,196,769
61%
2.
United Kingdom
473,245
7%
3.
Canada
428,316
6%
4.
Australia
257,662
4%
5.
Saudi Arabia
94,900
1%
6.
Mexico
80,837
1%
7.
Philippines
77,180
1%
8.
Netherlands
69,744
1%
9.
Germany
68,552
1%
10.
Sweden
53,505
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
160,712
20%
2.
iPhone 6
155,428
19%
3.
iPhone 5
92,069
11%
4.
iPhone 5C
71,113
9%
5.
iPhone 4S
51,190
6%
6.
iPad 2
45,395
6%
7.
iPhone 6 Plus
37,899
5%
8.
iPad mini
33,788
4%
9.
iPad Air
33,702
4%
10.
iPad 4th Gen
28,444
4%
11.
iPhone 4
22,472
3%
12.
iPad 3rd Gen
22,235
3%
13.
iPad mini with Retina display
15,653
2%
14.
iPod touch
15,188
2%
15.
iPad Air 2
13,175
2%
16.
iPad Mini 3
3,038
<1%
17.
iPad
2,500
<1%
18.
iPhone 3GS
604
<1%
19.
iOS Simulator
67
<1%
See all 19 device models

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

connections Visits % Of Total
1.
WiFi
3,100,681
74%
2.
Cellular Data
1,055,698
25%
3.
No Internet Connection
40,390
1%

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

carriers Visits % Of Total
1.
WiFi
3,100,681
74%
2.
AT&T
447,173
11%
3.
Verizon Wireless
403,689
10%
4.
Sprintcom Inc
122,491
3%
5.
T-Mobile USA
62,628
1%
6.
Disconnected
40,390
1%
7.
US Cellular
5,413
<1%
8.
Cellular South Inc
3,872
<1%
9.
T-Mobile Deutschland GmbH
2,773
<1%
10.
Virgin Mobile
2,263
<1%
11.
Tracfone Wireless
1,334
<1%
12.
Unrecognized Carrier
1,152
<1%
13.
nTELOS Communications Inc (Virginia PCS Alliance LC)
946
<1%
14.
GCI Communications Corp.
449
<1%
15.
Cricket Communications
191
<1%
16.
Celcom (Malaysia) Berhad
126
<1%
17.
Carolina West Wireless
102
<1%
18.
Union Telephone Company
93
<1%
19.
Etisalat
92
<1%
20.
China Unicom
79
<1%
21.
North East Cellular Inc.
69
<1%
22.
Bell Mobility
59
<1%
23.
Rogers Wireless
57
<1%
24.
United Wireless Inc
50
<1%
25.
Bluegrass Cellular LLC
49
<1%
26.
Etihad Etisalat Company (Mobily)
37
<1%
27.
West Central Wireless
28
<1%
28.
Iowa Wireless Services LLC
28
<1%
29.
SETEL GSM
28
<1%
30.
Teleacre Cel
27
<1%
31.
Vodafone Libertel N.V.
26
<1%
32.
Digicel Ltd
19
<1%
33.
Saudi Telecom
19
<1%
34.
Telecommunication Company of Iran (TCI)
16
<1%
35.
Pine Telephone Company dba Pine Cellular
16
<1%
36.
Turkcell
15
<1%
37.
SD Mobitel
14
<1%
38.
Telus Mobility
13
<1%
39.
Not Reported
10
<1%
40.
Cellular Properties Inc.
10
<1%
41.
Omnitel Pronto Italia (OPI)
10
<1%
42.
Globe Telecom
9
<1%
43.
Hutchison 3G UK Ltd.
9
<1%
44.
Du
8
<1%
45.
Cablevision Systems Corporation
8
<1%
46.
China Mobile
8
<1%
47.
NTT DoCoMo Hokuriku Inc.
8
<1%
48.
Telstra Corporation Ltd.
6
<1%
49.
Fido Solutions
6
<1%
50.
MTN Network Ltd.
6
<1%
51.
Partner Communications Co. Ltd.
6
<1%
52.
Telkomsel
5
<1%
53.
Telsim GSM
5
<1%
54.
Wireless Communications Venture
5
<1%
55.
Celtel
5
<1%
56.
O2 UK Ltd.
5
<1%
57.
T-Mobile UK
5
<1%
58.
TDC Mobil
5
<1%
59.
Telcel, C.A.
5
<1%
60.
Vodafone
4
<1%
61.
MTPCS LLC
4
<1%
62.
New Mexico RSA 4 East Ltd. Partnership
4
<1%
63.
Optus Mobile Pty. Ltd.
4
<1%
64.
QATARNET
4
<1%
65.
STC Bahrain
4
<1%
66.
Telcel
4
<1%
67.
Viva
3
<1%
68.
GoMobile SamoaTel Ltd
3
<1%
69.
Mobile Telecommunications Company
3
<1%
70.
Mobinil
3
<1%
71.
MTN Rwandacell
3
<1%
72.
Vodafone Ltd.
2
<1%
73.
Warid Telecom
2
<1%
74.
Zain Bahrain
2
<1%
75.
Iusacell / Unefon
2
<1%
76.
Three
2
<1%
77.
Blanca Telephone Company
2
<1%
78.
Cable & Wireless Panama S.A.
2
<1%
79.
Cell C (Pty) Ltd.
2
<1%
80.
EMTS
2
<1%
81.
Excelcomindo
2
<1%
82.
GSM900/SmarTone
2
<1%
83.
Instituto Costarricense de Electricidad - ICE
2
<1%
84.
Areeba-Sudan
2
<1%
85.
Aria
2
<1%
86.
Mobilink
2
<1%
87.
MTN Nigeria Communications
2
<1%
88.
Nextel Communications Inc
2
<1%
89.
Telecom Italia Mobile (TIM)
1
<1%
90.
Telefónica Móviles España, SAU
1
<1%
91.
Telems Cel
1
<1%
92.
Telenor Pakistan
1
<1%
93.
Telenor Sverige AB
1
<1%
94.
Telesc Cel
1
<1%
95.
Bharti Airtel Ltd., Chennai
1
<1%
96.
Bharti Airtel Ltd., Delhi
1
<1%
97.
TT mobile
1
<1%
98.
Vodacom (Pty) Ltd.
1
<1%
99.
Vodafone D2 GmbH
1
<1%
100.
Vodafone Ireland Plc
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 / 8.2
356,392
44%
2.
iOS / 8.3
181,262
23%
3.
iOS / 8.1.3
127,709
16%
4.
iOS / 7.1.2
73,785
9%
5.
iOS / 8.1.2
64,772
8%
6.
iOS / 8.1
26,951
3%
7.
iOS / 7.1.1
24,063
3%
8.
iOS / 8.1.1
23,436
3%
9.
iOS / 8.0.2
16,515
2%
10.
iOS / 7.1
11,455
1%
11.
iOS / 7.0.4
11,374
1%
12.
iOS / 8.0
8,842
1%
13.
iOS / 7.0.6
5,787
1%
14.
iOS / 6.1.3
4,001
<1%
15.
iOS / 6.1.6
3,360
<1%
16.
iOS / 5.1.1
3,095
<1%
17.
iOS / 7.0.3
3,085
<1%
18.
iOS / 7.0.2
2,639
<1%
19.
iOS / 7.0
2,596
<1%
20.
iOS / 6.1.4
666
<1%
21.
iOS / 6.0.1
648
<1%
22.
iOS / 6.1.2
421
<1%
23.
iOS / 6.0
364
<1%
24.
iOS / 6.1
276
<1%
25.
iOS / 6.1.5
101
<1%
26.
iOS / 7.0.1
93
<1%
27.
iOS / 6.0.2
84
<1%
28.
iOS / 5.1
68
<1%
29.
iOS / 5.0.1
61
<1%
30.
iOS / 4.3.3
59
<1%
31.
iOS / 4.3.5
52
<1%
32.
iOS / 8.4
42
<1%
33.
iOS / 6.1.1
26
<1%
34.
iOS / 5.0
13
<1%
35.
iOS / 4.3.1
12
<1%
36.
iOS / 4.3.2
11
<1%
37.
iOS / 9.0
9
<1%
38.
iOS / 4.3
7
<1%
39.
iOS / 7.0.5
7
<1%
40.
iOS / 8.0.1
5
<1%
41.
iOS / 4.3.4
4
<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   66%
Goodreads for Android   34%
3.1.5 (iOS)   85%
3.1.3 (iOS)   6%
2.5.4 (iOS)   3%
3.1.4 (iOS)   2%
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
(9)
3,825,559
2.
/updates_view
3,644,816
3.
/book_view
2,303,565
4.
/myBooks_view
1,970,185
5.
/search
(7)
1,741,469
6.
/search_view
1,593,659
7.
/shelf
(3)
1,328,224
8.
/more_tab
1,248,992
9.
/shelf_picker_view
1,161,827
10.
/book_list_view
989,712
11.
/progress_view
910,027
12.
/ratings
(6)
818,290
13.
/simple_web_vc
799,584
14.
/review_view
716,672
15.
/notifications
(2)
562,569
16.
/author_view
549,764
17.
/status_updates
(2)
513,475
18.
/barcode
(1)
393,682
19.
/user_view
393,277
20.
/challenge_my_status
313,046
21.
/mybooks_search_view
249,402
22.
/sign_in_welcome
186,677
23.
/message_list
165,610
24.
/write_review_view
163,714
25.
/recommendations
162,881
26.
/explore
150,974
27.
/topic_show
140,325
28.
/friends_view
139,107
29.
/whats_new
135,895
30.
/comments_page
114,427
31.
/rate_books
(2)
112,310
32.
/home_jump_screen
105,530
33.
/message_show
99,115
34.
/listType
97,825
35.
/sign_in_view
95,449
36.
/friends_requests_view
89,126
37.
/likes_unlikes
(2)
85,167
38.
/challenge_friends_list
82,448
39.
/sign_in
(3)
77,164
40.
/gr_web_view/choiceawards
64,997
41.
/group_list
64,533
42.
/findfriends_choice
62,424
43.
/write_comment_view
60,995
44.
/recs_genre_selector
60,962
45.
/settings_view
60,449
46.
/comments
(14)
58,164
47.
/listopic_show
50,288
48.
/read_statuses_show
48,505
49.
/group_show
47,555
50.
/friend_requests
(2)
46,580
51.
/messages
(2)
45,890
52.
/user_status_show
45,829
53.
/fav_genres_edit
40,342
54.
/sign_up_view
40,151
55.
/error
(23)
39,627
56.
/challenge_signup_page
37,260
57.
/sign_up
(3)
36,033
58.
/folder_show
34,123
59.
/manageEBooks
33,375
60.
/fb_invites
(7)
32,078
61.
/listEbooks
28,263
62.
/recs_book_info
27,901
63.
/ereader_view
25,341
64.
/challenge_friend_status
25,139
65.
/rate_books_genre_selector
24,684
66.
/message_new
23,882
67.
/recs_shelf_selector
22,185
68.
/challenge
(5)
20,198
69.
/gr_web_view/choice_awards
19,237
70.
/add_fb_friends
18,802
71.
/findfriends
17,841
72.
/event_view
16,901
73.
/profile_photo_edit
16,729
74.
/recommendation_show
14,085
75.
/write_status_view
11,264
76.
/gr_web_view
9,990
77.
/share_book
(6)
9,335
78.
/friends_select_view
7,986
79.
/gr_web_view/private/var/mobile/Containers/Bundle/Application/Goodreads
(1)
6,918
80.
/addressbook_invites
(4)
6,315
81.
/findfriends_fb
6,048
82.
/rec_book_to_friends
5,875
83.
/likers_page
5,733
84.
/group_search
4,842
85.
/recent_reviews
4,456
86.
/amz_sign_in_ask
4,117
87.
/bookmark_view
3,766
88.
/notification_settings
3,765
89.
/gr_web_view/event/show
3,392
90.
/fb_sign_in_already_owned
3,340
91.
/eReaderChapters
3,154
92.
/gr_web_view/
2,835
93.
/fb_sign_in_ask
2,732
94.
/gr_web_view/help/list/iphone
2,323
95.
/appearance_view
2,097
96.
/amz_sign_in_already_owned
2,062
97.
/gr_web_view/poll/show
1,348
98.
/gr_web_view/author_blog_posts
1,267
99.
/gr_web_view/quotes
1,221
100.
/gr_web_view/friend/show
1,132
101.
/gr_web_view/var/mobile/Applications/Goodreads
(1)
1,123
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.

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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.