Cheezburger App Mobile App Traffic and Demographic Statistics by Quantcast

 

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Rankings

Cheezburger Network

Monthly Uniques
9.2M US 17.1M Global

Cheezburger App Mobile App

101.6K US 155.4K Global
  •  
  • Quantified

    Directly Measured Data

Related Links


Updated Apr 17, 2014 • Next: Apr 18, 2014 by 9AM PDT
Last Month
For Mar 18, 2014 - Apr 16, 2014
Uniques Visits Installs Upgrades
Cheezburger App 1.2.11 (iOS) 83,195 2,153,372 28,845 13,067
Cheezburger App 1.2.10 (iOS) 5,663 98,822 1,334 240
Cheezburger App 1.0.11 (Android) 5,457 74,902 613 890
Cheezburger App 1.0.12 (Android) 4,449 85,673 429 3,541
Cheezburger App 1.2.9 (iOS) 3,945 92,823 1,222 83
See all 19 versions

US Demographics:   [ Mobile App ]

See All
Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
index
 
 
Male
 
 
141
Female
 
  61
 
 
 
< 18
 
  98
18-24
 
 
172
25-34
 
 
146
35-44
 
  90
45-54
 
  67
55-64
 
  45
65+
 
  37
 
 
 
No Kids
 
 
141
Has Kids
 
  58
 
US average
index
 
 
$0-50k
 
 
123
$50-100k
 
  79
$100-150k
 
  74
$150k+
 
  70
 
 
 
No College
 
  85
College
 
 
119
Grad School
 
  94
 
 
 
Caucasian
 
 
109
African American
 
  46
Asian
 
  88
Hispanic
 
  87
Other
 
  95
 
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 unique users grouped by their return visit counts over the last 30 days.

Visits Uniques
1   20,275
2-3   15,442
4-7   11,657
8-15   11,178
16-31   11,517
32-63   10,366
64-127   8,677
128-255   8,382
256-511   7,644
512+   10,094

Top Countries

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

countries Visits % Of Total
1.
United States
2,596,826
69%
2.
United Kingdom
339,287
9%
3.
Canada
311,712
8%
4.
Australia
181,368
5%
5.
Germany
34,745
1%
6.
Netherlands
33,291
1%
7.
Sweden
29,406
1%
8.
New Zealand
21,326
1%
9.
Denmark
16,629
<1%
10.
Mexico
14,923
<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
19,434
19%
2.
iPhone 4S
17,689
17%
3.
iPhone 5S
11,576
11%
4.
iPhone 4
10,438
10%
5.
iPod touch
8,145
8%
6.
iPad 2
6,221
6%
7.
iPhone 5C
5,741
6%
8.
iPad mini
4,070
4%
9.
iPad 4th Gen
3,201
3%
10.
iPad 3rd Gen
2,690
3%
11.
iPad Air
1,891
2%
12.
iPad mini with Retina display
807
1%
13.
iPhone 3GS
710
1%
14.
SCH-I535
580
1%
15.
SCH-I545
543
1%
16.
iPad
506
<1%
17.
SAMSUNG-SGH-I337
414
<1%
18.
SPH-L710
362
<1%
19.
SAMSUNG-SGH-I747
360
<1%
20.
DROID RAZR
277
<1%
21.
XT907
275
<1%
22.
SPH-L720
235
<1%
23.
SGH-M919
218
<1%
24.
Nexus 7
190
<1%
25.
DROID RAZR HD
178
<1%
26.
SGH-T999
154
<1%
27.
HTC One
140
<1%
28.
SCH-I605
103
<1%
29.
Galaxy Nexus
98
<1%
30.
HTC6435LVW
95
<1%
31.
SM-N900V
91
<1%
32.
SAMSUNG-SGH-I537
84
<1%
33.
HTCONE
83
<1%
34.
DROID4
79
<1%
35.
SGH-T989
78
<1%
36.
HTC One X
77
<1%
37.
SPH-D710
77
<1%
38.
SAMSUNG-SGH-I317
76
<1%
39.
Nexus 5
73
<1%
40.
Nexus 4
72
<1%
41.
SAMSUNG-SM-N900A
72
<1%
42.
VS980 4G
71
<1%
43.
EVO
70
<1%
44.
XT1080
64
<1%
45.
HTC6500LVW
61
<1%
46.
MB886
55
<1%
47.
GT-P3113
50
<1%
48.
Kindle Fire
50
<1%
49.
VS840 4G
47
<1%
50.
SPH-L900
46
<1%
51.
KFTT
45
<1%
52.
DROID BIONIC
42
<1%
53.
SCH-R530U
41
<1%
54.
LG-LS970
40
<1%
55.
LG-LS980
40
<1%
56.
XT1060
40
<1%
57.
SGH-T769
39
<1%
58.
SGH-T999L
39
<1%
59.
SM-N900P
38
<1%
60.
LG-MS770
37
<1%
61.
SAMSUNG-SGH-I727
36
<1%
62.
SCH-R970
36
<1%
63.
SM-N900T
34
<1%
64.
ADR6410LVW
33
<1%
65.
SCH-I200
32
<1%
66.
VS870 4G
32
<1%
67.
LG-P769
31
<1%
68.
SCH-S738C
31
<1%
69.
SGH-T889
31
<1%
70.
LG-E980
30
<1%
71.
XT901
30
<1%
72.
HTC VLE_U
29
<1%
73.
LG-E970
29
<1%
74.
SAMSUNG-SGH-I437
27
<1%
75.
XT1058
27
<1%
76.
VS930 4G
25
<1%
77.
XT1030
25
<1%
78.
LG-D801
24
<1%
79.
C6606
23
<1%
80.
HTCEVOV4G
23
<1%
81.
SCH-I435
23
<1%
82.
SPH-D710VMUB
23
<1%
83.
C5155
21
<1%
See all 83 device models

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

connections Visits % Of Total
1.
WiFi
1,955,523
75%
2.
Cellular Data
610,686
24%
3.
No Internet Connection
30,617
1%

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

carriers Visits % Of Total
1.
WiFi
1,955,523
75%
2.
AT&T
276,008
11%
3.
Verizon Wireless
211,971
8%
4.
Sprintcom Inc
65,888
3%
5.
T-Mobile USA
31,704
1%
6.
Disconnected
30,617
1%
7.
Unspecified US Carrier
8,479
<1%
8.
Unrecognized Carrier
4,382
<1%
9.
Cellular South Inc
2,328
<1%
10.
US Cellular
1,880
<1%
11.
Virgin Mobile
1,533
<1%
12.
Tracfone Wireless
1,243
<1%
13.
T-Mobile Deutschland GmbH
1,172
<1%
14.
Cricket Communications
984
<1%
15.
nTELOS Communications Inc (Virginia PCS Alliance LC)
922
<1%
16.
Metro PCS Wireless Inc
727
<1%
17.
GCI Communications Corp.
580
<1%
18.
Not Reported
141
<1%
19.
Celcom (Malaysia) Berhad
127
<1%
20.
Iowa Wireless Services LLC
83
<1%
21.
North East Cellular Inc.
81
<1%
22.
Bluegrass Cellular LLC
70
<1%
23.
Union Telephone Company
65
<1%
24.
Smith Bagley Inc, dba Cellular One
44
<1%
25.
West Central Wireless
41
<1%
26.
Cincinnati Bell Wireless LLC
26
<1%
27.
MTPCS LLC
24
<1%
28.
Vodafone Libertel N.V.
21
<1%
29.
Bell Mobility
19
<1%
30.
Nextel Communications Inc
18
<1%
31.
Carolina West Wireless
13
<1%
32.
Advantage Cellular Systems, Inc.
12
<1%
33.
Telus Mobility
10
<1%
34.
AWCC
10
<1%
35.
Movistar
9
<1%
36.
Mobile Telesystems
8
<1%
37.
Orange
8
<1%
38.
Pine Telephone Company dba Pine Cellular
8
<1%
39.
Rogers Wireless
7
<1%
40.
Cellular Properties Inc.
6
<1%
41.
Choice Phone LLC
6
<1%
42.
New Mexico RSA 4 East Ltd. Partnership
6
<1%
43.
O2 UK Ltd.
5
<1%
44.
China Unicom
4
<1%
45.
T-Mobile UK
4
<1%
46.
Fido Solutions
2
<1%
47.
Azules y Platas S.A.
2
<1%
48.
Commnet Wireless LLC
1
<1%
49.
E-Plus Mobilfunk GmbH & Co. KG
1
<1%
50.
Hutchison 3G UK Ltd.
1
<1%
51.
KPN Mobile The Netherlands B.V.
1
<1%
52.
NTT DoCoMo Hokuriku Inc.
1
<1%
See all 52 carriers

The number of unique users per operating system over the last 30 days.

OS versions Uniques % Of Total
1.
iOS / 7.1
53,609
53%
2.
iOS / 7.0.6
16,018
16%
3.
iOS / 7.0.4
14,622
14%
4.
iOS / 6.1.3
4,064
4%
5.
iOS / 6.1.6
3,435
3%
6.
iOS / 7.0.3
2,715
3%
7.
Android / JSS15J
2,713
3%
8.
iOS / 7.0.2
2,516
2%
9.
iOS / 7.0
2,480
2%
10.
Android / JZO54K
1,073
1%
11.
Android / KOT49H
989
1%
12.
iOS / 5.1.1
941
1%
13.
iOS / 6.1.5
869
1%
14.
Android / JDQ39
624
1%
15.
iOS / 6.1.4
612
1%
16.
iOS / 6.1.2
433
<1%
17.
iOS / 6.0.1
368
<1%
18.
iOS / 6.1
328
<1%
19.
Android / IMM76D
316
<1%
20.
Android / 9.8.1Q-94
283
<1%
21.
Android / 9.8.2O-72_VZW-16-5
266
<1%
22.
Android / GINGERBREAD
215
<1%
23.
Android / IML74K
195
<1%
24.
Android / JRO03C
179
<1%
25.
Android / 9.8.1Q-94-1
164
<1%
26.
Android / IMM76I
161
<1%
27.
Android / JDQ39B
131
<1%
28.
iOS / 6.0
127
<1%
29.
Android / SU2-3
89
<1%
30.
iOS / 5.0.1
73
<1%
31.
iOS / 5.1
70
<1%
32.
Android / IMM76L
56
<1%
33.
Android / 9.8.0Q-97_MB886_FFW-20
53
<1%
34.
Android / 9.8.2O-72_VZW-18-9
52
<1%
35.
iOS / 7.0.1
52
<1%
36.
Android / IML77
40
<1%
37.
Android / 9.8.2O-72_VZW-22
38
<1%
38.
Android / KXA20.16-1.25.2
36
<1%
39.
Android / GRJ22
34
<1%
40.
iOS / 6.1.1
30
<1%
41.
Android / 9.8.2O-72_VZW-18-8
27
<1%
42.
iOS / 6.0.2
25
<1%
43.
Android / 9.8.2Q-50_SLS-13
24
<1%
44.
Android / 10.3.1.E.0.191
23
<1%
45.
Android / 13.11.1Q2.X-69-3
23
<1%
46.
Android / KOT49I.D80120a
20
<1%
47.
Android / GRJ90
19
<1%
48.
Android / JRO03L
19
<1%
49.
Android / KXA20.16-1.31.1
19
<1%
50.
Android / GRK39F
18
<1%
51.
Android / JOP40D
18
<1%
52.
Android / JWR67B
18
<1%
53.
Android / 14.2.C.0.159
16
<1%
54.
Android / FROYO
16
<1%
55.
Android / KOT49I.D80020c
15
<1%
56.
Android / 9.1.F.1.120
14
<1%
57.
Android / C811M040
14
<1%
58.
Android / JWR66Y
14
<1%
59.
Android / HuaweiM931
12
<1%
60.
Android / JDQ39E
12
<1%
61.
Android / KXA20.16-1.32
12
<1%
62.
Android / 4.5.1A-DTN-200-18
11
<1%
63.
Android / ZVK.IMM76D
11
<1%
64.
Android / 6.1.C.1.111
10
<1%
65.
Android / 9.8.2O-72_VZW-16
10
<1%
66.
Android / KOT49I.LS980ZVC
10
<1%
67.
Android / KVT49L
10
<1%
68.
Android / 6.7.2-226-EDICS-10
9
<1%
69.
Android / GRI40
9
<1%
70.
Android / 4.5.1A-1_SUN-254_13
8
<1%
71.
Android / 5.5.1_84_D3G-66_M2-10
8
<1%
72.
Android / 9.8.2Q-122_XT897_FFW-5
8
<1%
73.
Android / 4.5.1_57_DX9-10
7
<1%
74.
Android / 9.8.2Q-122_XT897_FFW-8
7
<1%
75.
Android / C771M150
7
<1%
76.
Android / HuaweiY301A1
7
<1%
77.
Android / JRO03H
7
<1%
78.
Android / JSS15Q
7
<1%
79.
Android / ZV5.GWK74
7
<1%
80.
iOS / 7.0.5
7
<1%
81.
Android / 9.8.2Q-50_SLS-14
6
<1%
82.
Android / JLS36I
6
<1%
83.
Android / KOT49H.H1
6
<1%
84.
Android / 13.9.0Q2.X-178-RW-17
5
<1%
85.
Android / HuaweiH881C
5
<1%
86.
Android / HuaweiU8730
5
<1%
87.
Android / KXB20.9-1.10-1.24-1.1
5
<1%
88.
Android / 6.7.2-223_DBN_M4-23
4
<1%
89.
Android / HuaweiU8680
4
<1%
90.
Android / JRO03R
4
<1%
91.
Android / KXA20.16-1.27
4
<1%
92.
Android / V1.65K
4
<1%
93.
iOS / 8.0
4
<1%
94.
Android / 4.5.1A_SUN_USC_19.0
3
<1%
95.
Android / 6.0.C.1.257
3
<1%
96.
Android / C811M050
3
<1%
97.
Android / HuaweiU8665B037
3
<1%
98.
Android / HuaweiU8686
3
<1%
99.
Android / KXA20.16-1.25
3
<1%
100.
iOS / 5.0
3
<1%
See top 100 OS versions

Visit Sources

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

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

| Versions of Cheezburger Ap…
Cheezburger App   100%
1.2.11 (iOS)   83%
1.2.10 (iOS)   4%
1.2.9 (iOS)   4%
1.0.12 (Android)   3%
1.0.11 (Android)   3%
1.2.4 (iOS)   2%
1.0.9 (Android)   <1%
1.0.5 (Android)   <1%
1.2.8 (iOS)   <1%
1.0.4 (Android)   <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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