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Goodreads Network

Monthly Uniques
23.1M US 53.6M Global

Goodreads for iOS Mobile App

830.6K US 1.3M Global
  •  
  • Quantified

    Directly Measured Data

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Updated Feb 28, 2015 • Next: Mar 1, 2015 by 9AM PST
Last Month
For Jan 29, 2015 - Feb 27, 2015
Uniques Visits Installs Upgrades
Goodreads for iOS 3.1.3 (iOS) 714,925 3,969,085 318,041 366,325
Goodreads for iOS 3.1.2 (iOS) 42,219 166,930 10,700 9,698
Goodreads for iOS 2.5.4 (iOS) 31,913 178,030 10,378 839
Goodreads for iOS 3.0.2 (iOS) 19,107 84,136 7,466 1,401
Goodreads for iOS 3.1.1 (iOS) 18,247 80,009 5,987 2,359
See all 21 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  43
Female
 
 
154
 
 
 
< 18
 
  79
18-24
 
 
134
25-34
 
 
138
35-44
 
 
111
45-54
 
  81
55-64
 
  68
65+
 
  56
 
 
 
No Kids
 
  99
Has Kids
 
 
101
 
US Average
Index
 
 
$0-50k
 
  97
$50-100k
 
 
104
$100-150k
 
 
107
$150k+
 
  98
 
 
 
No College
 
  63
College
 
 
120
Grad School
 
 
160
 
 
 
Caucasian
 
 
111
African American
 
  45
Asian
 
  74
Hispanic
 
  80
Other
 
  95
 
US Average


Updated Feb 28, 2015 • Next: Mar 11, 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 Feb 28, 2015 • Next: Mar 11, 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
730 days total
7,785,818 installs
100%
60%
56%
49%
45%
38%
24%
14%
6 months ago
August 28, 2014
10,524 installs
100%
51%
46%
39%
33%
26%
14%
1%
3 months ago
November 28, 2014
10,850 installs
100%
55%
51%
44%
38%
31%
1 month ago
January 28, 2015
11,876 installs
100%
44%
38%
29%
21%
3%
2 weeks ago
February 14, 2015
11,496 installs
100%
39%
32%
19%
1 week ago
February 21, 2015
13,166 installs
100%
32%
23%

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   164,033
2-3   16,517
4-7   2,556
8-15   736
16-31   392
32-63   201
64-127   125
128-255   70
256-511   50
512+   36
1   398,818
2-3   214,393
4-7   115,839
8-15   67,802
16-31   40,951
32-63   24,993
64-127   15,166
128-255   9,270
256-511   5,229
512+   4,171

Top Countries

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

countries Visits % Of Total
1.
United States
4,645,051
62%
2.
United Kingdom
530,027
7%
3.
Canada
459,828
6%
4.
Australia
283,911
4%
5.
Saudi Arabia
99,077
1%
6.
Mexico
84,051
1%
7.
Philippines
75,092
1%
8.
Netherlands
72,643
1%
9.
Germany
68,358
1%
10.
Sweden
55,765
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
165,067
20%
2.
iPhone 6
132,852
16%
3.
iPhone 5
104,285
13%
4.
iPhone 5C
73,181
9%
5.
iPhone 4S
62,542
8%
6.
iPad 2
52,378
6%
7.
iPad mini
38,124
5%
8.
iPad Air
36,354
4%
9.
iPhone 6 Plus
32,555
4%
10.
iPad 4th Gen
32,158
4%
11.
iPhone 4
27,733
3%
12.
iPad 3rd Gen
25,767
3%
13.
iPod touch
16,731
2%
14.
iPad mini with Retina display
16,448
2%
15.
iPad Air 2
12,056
1%
16.
iPad
3,117
<1%
17.
iPad Mini 3
2,680
<1%
18.
iPhone 3GS
763
<1%
19.
iOS Simulator
42
<1%
20.
iPad4,9
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
3,508,099
76%
2.
Cellular Data
1,088,513
23%
3.
No Internet Connection
48,439
1%

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

carriers Visits % Of Total
1.
WiFi
3,508,099
76%
2.
AT&T
459,655
10%
3.
Verizon Wireless
414,624
9%
4.
Sprintcom Inc
128,375
3%
5.
T-Mobile USA
64,310
1%
6.
Disconnected
48,439
1%
7.
US Cellular
5,730
<1%
8.
Cellular South Inc
4,244
<1%
9.
Virgin Mobile
2,738
<1%
10.
T-Mobile Deutschland GmbH
2,665
<1%
11.
Tracfone Wireless
1,520
<1%
12.
Unrecognized Carrier
1,308
<1%
13.
nTELOS Communications Inc (Virginia PCS Alliance LC)
1,026
<1%
14.
GCI Communications Corp.
559
<1%
15.
Cricket Communications
426
<1%
16.
Celcom (Malaysia) Berhad
124
<1%
17.
Etisalat
104
<1%
18.
Union Telephone Company
100
<1%
19.
North East Cellular Inc.
93
<1%
20.
Bell Mobility
81
<1%
21.
United Wireless Inc
62
<1%
22.
Carolina West Wireless
54
<1%
23.
China Unicom
48
<1%
24.
Bluegrass Cellular LLC
46
<1%
25.
Pine Telephone Company dba Pine Cellular
46
<1%
26.
West Central Wireless
45
<1%
27.
SETEL GSM
30
<1%
28.
Rogers Wireless
28
<1%
29.
Vodafone Libertel N.V.
26
<1%
30.
Iowa Wireless Services LLC
24
<1%
31.
SD Mobitel
23
<1%
32.
Saudi Telecom
21
<1%
33.
Fido Solutions
20
<1%
34.
Areeba-Sudan
18
<1%
35.
Etihad Etisalat Company (Mobily)
17
<1%
36.
Mobile Telecommunications Company
17
<1%
37.
Turkcell
13
<1%
38.
Cellular Properties Inc.
13
<1%
39.
Nextel Communications Inc
13
<1%
40.
Telkomsel
12
<1%
41.
Telstra Corporation Ltd.
12
<1%
42.
Not Reported
11
<1%
43.
China Mobile
11
<1%
44.
New Mexico RSA 4 East Ltd. Partnership
11
<1%
45.
Telus Mobility
10
<1%
46.
Du
9
<1%
47.
GoMobile SamoaTel Ltd
8
<1%
48.
Optus Mobile Pty. Ltd.
8
<1%
49.
Vodafone
7
<1%
50.
MTPCS LLC
7
<1%
51.
Telcel
7
<1%
52.
Telecommunication Company of Iran (TCI)
6
<1%
53.
Wataniya Telecom
6
<1%
54.
O2 (Germany) GmbH & Co. OHG
6
<1%
55.
Oman Qatari Telecommunications Company (Nawras)
6
<1%
56.
Teleacre Cel
6
<1%
57.
FarEasTone
5
<1%
58.
Cincinnati Bell Wireless LLC
5
<1%
59.
NTT DoCoMo Hokuriku Inc.
5
<1%
60.
Vodafone Ltd.
4
<1%
61.
Vodafone Network Pty. Ltd.
4
<1%
62.
EMTS
4
<1%
63.
Hutchison 3G UK Ltd.
4
<1%
64.
NTT DoCoMo Kansai Inc.
4
<1%
65.
Sl Wireless LLC
4
<1%
66.
Telesc Cel
3
<1%
67.
Vodafone D2 GmbH
3
<1%
68.
Zain Bahrain
3
<1%
69.
Excelcomindo
3
<1%
70.
Instituto Costarricense de Electricidad - ICE
3
<1%
71.
O2 UK Ltd.
3
<1%
72.
Omnitel Pronto Italia (OPI)
3
<1%
73.
PAK Telecom Mobile Ltd. (UFONE)
3
<1%
74.
T-Mobile UK
3
<1%
75.
TMN - Telecomunicaçôes Movéis Nacionais, S.A.
2
<1%
76.
Bharti Airtel Ltd., Tamil Nadu
2
<1%
77.
Etisalet
2
<1%
78.
Advantage Cellular Systems, Inc.
2
<1%
79.
Cablevision Systems Corporation
2
<1%
80.
Digicel Ltd
2
<1%
81.
Econet Wireless Nigeria Ltd.
2
<1%
82.
GramenPhone
2
<1%
83.
Mobinil
2
<1%
84.
MTN Network Ltd.
2
<1%
85.
MTN Nigeria Communications
2
<1%
86.
Oman Mobile Telecommunications Company (Oman Mobile)
2
<1%
87.
BATELCO
2
<1%
88.
Satelindo
2
<1%
89.
SK Telecom
2
<1%
90.
Telcel, C.A.
2
<1%
91.
Telems Cel
1
<1%
92.
TeliaSonera Finland Oyj
1
<1%
93.
Vodacom (Pty) Ltd.
1
<1%
94.
Vodafone Ireland Plc
1
<1%
95.
WIND
1
<1%
96.
Wireless Communications Venture
1
<1%
97.
Xfera Móviles, SA
1
<1%
98.
SaskTel
1
<1%
99.
Iusacell / Unefon
1
<1%
100.
Bouygues Telecom
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
383,466
46%
2.
iOS / 8.1.2
216,404
26%
3.
iOS / 7.1.2
103,546
12%
4.
iOS / 8.1
43,481
5%
5.
iOS / 8.1.1
41,102
5%
6.
iOS / 7.1.1
33,212
4%
7.
iOS / 8.0.2
26,977
3%
8.
iOS / 7.0.4
15,492
2%
9.
iOS / 7.1
15,271
2%
10.
iOS / 8.0
13,936
2%
11.
iOS / 7.0.6
7,800
1%
12.
iOS / 6.1.3
5,648
1%
13.
iOS / 6.1.6
4,157
1%
14.
iOS / 7.0.3
4,080
<1%
15.
iOS / 5.1.1
3,891
<1%
16.
iOS / 7.0.2
3,542
<1%
17.
iOS / 7.0
3,494
<1%
18.
iOS / 6.1.4
977
<1%
19.
iOS / 6.0.1
892
<1%
20.
iOS / 6.1.2
596
<1%
21.
iOS / 6.0
479
<1%
22.
iOS / 6.1
397
<1%
23.
iOS / 6.1.5
147
<1%
24.
iOS / 6.0.2
127
<1%
25.
iOS / 7.0.1
123
<1%
26.
iOS / 5.1
95
<1%
27.
iOS / 8.2
90
<1%
28.
iOS / 5.0.1
80
<1%
29.
iOS / 4.3.3
73
<1%
30.
iOS / 4.3.5
71
<1%
31.
iOS / 8.3
67
<1%
32.
iOS / 6.1.1
33
<1%
33.
iOS / 5.0
22
<1%
34.
iOS / 4.3.2
12
<1%
35.
iOS / 4.3
11
<1%
36.
iOS / 4.3.1
8
<1%
37.
iOS / 4.3.4
8
<1%
38.
iOS / 9.0
8
<1%
39.
iOS / 7.0.5
7
<1%
40.
iOS / 8.0.1
6
<1%
41.
iOS / 8.2.1
4
<1%
42.
iOS / 8.4
2
<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   68%
Goodreads for Android   32%
3.1.3 (iOS)   85%
2.5.4 (iOS)   4%
3.1.2 (iOS)   4%
3.0.2 (iOS)   2%
3.1.1 (iOS)   2%
3.1 (iOS)   1%
3.0 (iOS)   1%
2.4 (iOS)   <1%
2.5.2 (iOS)   <1%
2.5.3 (iOS)   <1%

Top Events

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

events counts
1.
/launched
(6)
4,069,690
2.
/updates_view
3,859,304
3.
/book_view
2,401,919
4.
/myBooks_view
2,097,014
5.
/search
(7)
1,816,069
6.
/search_view
1,667,289
7.
/more_tab
1,430,363
8.
/shelf
(3)
1,397,976
9.
/shelf_picker_view
1,218,563
10.
/book_list_view
1,071,340
11.
/progress_view
966,473
12.
/ratings
(6)
860,719
13.
/simple_web_vc
806,614
14.
/review_view
742,825
15.
/notifications
(2)
667,616
16.
/author_view
572,801
17.
/status_updates
(2)
554,211
18.
/user_view
454,527
19.
/barcode
(1)
426,381
20.
/challenge_my_status
363,679
21.
/mybooks_search_view
268,534
22.
/message_list
228,742
23.
/sign_in_welcome
219,004
24.
/recommendations
185,276
25.
/explore
172,776
26.
/write_review_view
170,262
27.
/topic_show
160,024
28.
/friends_view
158,876
29.
/home_jump_screen
151,798
30.
/rate_books
(2)
147,397
31.
/message_show
142,103
32.
/comments_page
131,094
33.
/sign_in_view
111,546
34.
/friends_requests_view
106,430
35.
/challenge_friends_list
105,805
36.
/gr_web_view/choiceawards
103,111
37.
/listType
97,483
38.
/likes_unlikes
(2)
90,888
39.
/sign_in
(3)
88,959
40.
/findfriends_choice
77,699
41.
/group_list
77,630
42.
/settings_view
74,590
43.
/write_comment_view
68,583
44.
/recs_genre_selector
68,435
45.
/comments
(12)
65,099
46.
/challenge_signup_page
59,101
47.
/group_show
57,938
48.
/friend_requests
(2)
56,935
49.
/listopic_show
56,458
50.
/read_statuses_show
52,513
51.
/messages
(2)
52,178
52.
/fav_genres_edit
50,800
53.
/sign_up_view
47,767
54.
/user_status_show
46,830
55.
/error
(23)
45,698
56.
/sign_up
(3)
44,126
57.
/manageEBooks
42,122
58.
/folder_show
41,589
59.
/recs_book_info
35,529
60.
/challenge
(5)
35,194
61.
/challenge_friend_status
34,699
62.
/listEbooks
34,038
63.
/ereader_view
32,358
64.
/add_fb_friends
32,109
65.
/rate_books_genre_selector
31,143
66.
/message_new
27,210
67.
/recs_shelf_selector
23,929
68.
/findfriends
22,096
69.
/fb_invites
(6)
21,736
70.
/event_view
19,790
71.
/profile_photo_edit
18,896
72.
/recommendation_show
15,324
73.
/gr_web_view
14,598
74.
/write_status_view
12,635
75.
/findfriends_fb
12,291
76.
/share_book
(6)
9,992
77.
/friends_select_view
9,808
78.
/addressbook_invites
(4)
7,946
79.
/gr_web_view/private/var/mobile/Containers/Bundle/Application/Goodreads
(1)
7,667
80.
/rec_book_to_friends
6,848
81.
/likers_page
6,415
82.
/group_search
5,904
83.
/recent_reviews
5,309
84.
/bookmark_view
4,969
85.
/amz_sign_in_ask
4,764
86.
/notification_settings
4,618
87.
/eReaderChapters
4,016
88.
/fb_sign_in_already_owned
3,814
89.
/gr_web_view/event/show
3,679
90.
/fb_sign_in_ask
3,160
91.
/gr_web_view/
(1)
2,891
92.
/gr_web_view/help/list/iphone
2,766
93.
/amz_sign_in_already_owned
2,386
94.
/appearance_view
2,333
95.
/gr_web_view/var/mobile/Applications/Goodreads
(1)
1,836
96.
/gr_web_view/poll/show
1,576
97.
/gr_web_view/quotes
(1)
1,382
98.
/gr_web_view/challenges
1,152
99.
/gr_web_view/watch
1,063
100.
/list_all_my_shelves
1,052
101.
/gr_web_view/dp
1,005
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.

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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.



xCreate a Network

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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.