Quizlet Mobile App Traffic and Demographic Statistics by Quantcast

 

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Quizlet Network

Monthly Uniques
17.4M US 21.1M Global

Quizlet Mobile App

1.0M US 1.2M Global
  •  
  • Quantified

    Directly Measured Data

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Updated Apr 19, 2014 • Next: Apr 20, 2014 by 9AM PDT
Last Month
For Mar 20, 2014 - Apr 18, 2014
Uniques Visits Installs Upgrades
Quizlet 1.4.2 (iOS) 694,727 2,742,294 279,756 431,154
Quizlet 1.4.3 (iOS) 371,875 1,046,377 115,202 261,419
Quizlet 1.4.1 (iOS) 227,798 620,954 52,798 105,616
Quizlet 1.3.1 (iOS) 154,807 673,466 37,674 8,774
Quizlet 1.4.0 (iOS) 43,148 161,846 8,870 13,768
See all 14 versions

US Demographics:   [ Mobile App ]

See All
Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
index
 
 
Male
 
  98
Female
 
 
102
 
 
 
< 18
 
 
110
18-24
 
 
129
25-34
 
 
103
35-44
 
  96
45-54
 
  91
55-64
 
  79
65+
 
  73
 
 
 
No Kids
 
 
109
Has Kids
 
  91
 
US average
index
 
 
$0-50k
 
 
105
$50-100k
 
  94
$100-150k
 
  95
$150k+
 
  98
 
 
 
No College
 
  92
College
 
 
101
Grad School
 
 
122
 
 
 
Caucasian
 
  99
African American
 
  94
Asian
 
 
121
Hispanic
 
 
102
Other
 
  99
 
US average


Updated Apr 12, 2014 • Next: Apr 23, 2014 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.

Return Usage data has been hidden by the owner.

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   340,600
2-3   125,962
4-7   41,159
8-15   17,156
16-31   7,205
32-63   2,646
64-127   821
128-255   227
256-511   57
512+   13
1   272,592
2-3   235,103
4-7   172,056
8-15   115,700
16-31   66,926
32-63   32,592
64-127   12,958
128-255   4,016
256-511   1,073
512+   233

Top Countries

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

countries Visits % Of Total
1.
United States
4,929,508
88%
2.
United Kingdom
92,985
2%
3.
Switzerland
86,954
2%
4.
Canada
65,399
1%
5.
Australia
59,733
1%
6.
China
30,272
1%
7.
Japan
25,160
<1%
8.
Germany
21,722
<1%
9.
Republic of Korea
17,565
<1%
10.
Russia
13,882
<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 5
207,006
17%
2.
iPhone 4S
169,396
14%
3.
iPad 2
145,671
12%
4.
iPhone 5S
139,221
12%
5.
iPad 4th Gen
107,069
9%
6.
iPhone 4
106,019
9%
7.
iPhone 5C
76,842
6%
8.
iPod touch
71,846
6%
9.
iPad mini
65,394
6%
10.
iPad 3rd Gen
43,943
4%
11.
iPad Air
31,609
3%
12.
iPad mini with Retina display
9,114
1%
13.
iPad
5,105
<1%
14.
iPhone 3GS
4,878
<1%
15.
iOS Simulator
6
<1%
16.
iPad4,6
1
<1%
See all 16 device models

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

connections Visits % Of Total
1.
WiFi
4,021,909
72%
2.
Cellular Data
1,320,330
24%
3.
No Internet Connection
255,982
5%

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

carriers Visits % Of Total
1.
WiFi
4,021,909
72%
2.
AT&T
470,181
8%
3.
Verizon Wireless
439,774
8%
4.
Disconnected
255,982
5%
5.
Sprintcom Inc
160,114
3%
6.
T-Mobile USA
75,990
1%
7.
Swisscom Mobile AG
13,453
<1%
8.
Cellular South Inc
7,515
<1%
9.
NTT DoCoMo Hokuriku Inc.
7,033
<1%
10.
Unrecognized Carrier
6,059
<1%
11.
Virgin Mobile
6,046
<1%
12.
TDC Switzerland AG
5,820
<1%
13.
Orange Communications SA
5,699
<1%
14.
KDDI Corporation
4,651
<1%
15.
O2 UK Ltd.
4,538
<1%
16.
T-Mobile UK
3,861
<1%
17.
Optus Mobile Pty. Ltd.
3,785
<1%
18.
US Cellular
3,765
<1%
19.
Telstra Corporation Ltd.
3,463
<1%
20.
olleh Mobile
3,273
<1%
21.
Rogers Wireless
3,260
<1%
22.
Hutchison 3G UK Ltd.
3,123
<1%
23.
China Unicom
2,936
<1%
24.
Chungwa Telecom
2,872
<1%
25.
Tracfone Wireless
2,816
<1%
26.
Telus Mobility
2,672
<1%
27.
Vodafone Ltd.
2,577
<1%
28.
Cricket Communications
2,352
<1%
29.
SK Telecom
2,317
<1%
30.
Bell Mobility
2,036
<1%
31.
NTT DoCoMo Kansai Inc.
1,930
<1%
32.
Vodafone Network Pty. Ltd.
1,891
<1%
33.
Mobile Telesystems
1,632
<1%
34.
nTELOS Communications Inc (Virginia PCS Alliance LC)
1,631
<1%
35.
TeliaSonera Finland Oyj
1,589
<1%
36.
T-Mobile Deutschland GmbH
1,586
<1%
37.
Vodafone D2 GmbH
1,581
<1%
38.
O2 (Germany) GmbH & Co. OHG
1,487
<1%
39.
Megafon
1,432
<1%
40.
Orange
1,333
<1%
41.
China Mobile
1,308
<1%
42.
Westel Mobile
1,288
<1%
43.
Beeline
1,199
<1%
44.
E-Plus Mobilfunk GmbH & Co. KG
1,055
<1%
45.
Fido Solutions
1,054
<1%
46.
Tele2 Sverige AB
966
<1%
47.
DNA Oy
955
<1%
48.
Netia Mobile
904
<1%
49.
Turkcell
892
<1%
50.
Cellcom Israel Ltd.
881
<1%
51.
Taiwan Mobile
867
<1%
52.
Telia Sonera Sverige AB
858
<1%
53.
T-Mobile Austria GmbH
848
<1%
54.
Partner Communications Co. Ltd.
842
<1%
55.
Saunalahti Group Oyj
841
<1%
56.
Pelephone Communications Ltd.
836
<1%
57.
Idea (Polska Telefonia Komórkowa Centertel Sp. Z.o.o)
831
<1%
58.
ERA GSM (Polska Telefonia Cyfrowa Sp. Z.o.o.)
805
<1%
59.
SingTel ST
786
<1%
60.
Telenor Sverige AB
782
<1%
61.
Mobilkom Austria Aktiengesellschaft
749
<1%
62.
FarEasTone
676
<1%
63.
Vodafone
667
<1%
64.
Hutchison 3G Austria GmbH
663
<1%
65.
Telenor Norge AS
653
<1%
66.
H3G Access AB
629
<1%
67.
Viettel
619
<1%
68.
Orange France
597
<1%
69.
Telecom New Zealand - UMTS Ntework
594
<1%
70.
Bouygues Telecom
586
<1%
71.
Orange Austria Telecommunication GmbH
572
<1%
72.
Celcom (Malaysia) Berhad
564
<1%
73.
Vodafone New Zealand GSM Network
557
<1%
74.
3G Radio System/Hutchison 3G
538
<1%
75.
Telcel
536
<1%
76.
Saudi Telecom
534
<1%
77.
Telefónica Móviles España, SAU
476
<1%
78.
Mirs Ltd
472
<1%
79.
GTA Wireless LLC
459
<1%
80.
GSM900/HKCSL
415
<1%
81.
GSM900/SmarTone
413
<1%
82.
EMT GSM
407
<1%
83.
Starhub
407
<1%
84.
Vodafone España, SAU
404
<1%
85.
S.F.R.
399
<1%
86.
Etihad Etisalat Company (Mobily)
393
<1%
87.
Vodafone Libertel N.V.
373
<1%
88.
Bluegrass Cellular LLC
370
<1%
89.
Aria
362
<1%
90.
Telkomsel
360
<1%
91.
T-Mobile Netherlands B.V.
348
<1%
92.
GCI Communications Corp.
334
<1%
93.
Telia
331
<1%
94.
CAT CDMA
329
<1%
95.
Netcom AS
317
<1%
96.
TDC Mobil
314
<1%
97.
Plus GSM (Polkomtel S.A.)
307
<1%
98.
SaskTel
289
<1%
99.
Telsim GSM
288
<1%
100.
MobileOne
286
<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 / 7.1
594,307
50%
2.
iOS / 7.0.4
223,184
19%
3.
iOS / 7.0.6
155,630
13%
4.
iOS / 7.0.3
50,952
4%
5.
iOS / 7.0
47,557
4%
6.
iOS / 7.0.2
45,141
4%
7.
iOS / 6.1.3
39,381
3%
8.
iOS / 6.1.6
28,067
2%
9.
iOS / 5.1.1
8,149
1%
10.
iOS / 6.1.4
6,415
1%
11.
iOS / 6.1.5
6,192
1%
12.
iOS / 6.0.1
6,140
1%
13.
iOS / 6.1.2
4,197
<1%
14.
iOS / 6.0
3,155
<1%
15.
iOS / 6.1
2,909
<1%
16.
iOS / 7.0.1
898
<1%
17.
iOS / 7.0.5
807
<1%
18.
iOS / 6.0.2
732
<1%
19.
iOS / 5.0.1
531
<1%
20.
iOS / 5.1
426
<1%
21.
iOS / 6.1.1
203
<1%
22.
iOS / 5.0
82
<1%
23.
iPhone 3GS / 6.1.3
1
<1%
24.
iOS / 6.4
1
<1%
See all 24 OS versions

Visit Sources

The percentage of visits from all apps in this network in the past 30 days.

The percentage of visits to Quizlet by version in the past 30 days.

Mobile Apps | Versions of Quizlet
Quizlet   92%
Quizlet Android App   8%
1.4.2 (iOS)   49%
1.4.3 (iOS)   19%
1.3.1 (iOS)   12%
1.4.1 (iOS)   11%
1.4.0 (iOS)   3%
1.2.6 (iOS)   3%
1.2.5 (iOS)   1%
1.2.2 (iOS)   1%
1.3.0 (iOS)   1%
1.2.1 (iOS)   <1%

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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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