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Cheezburger Network

Monthly Uniques
7.2M US 13.8M Global

Cheezburger App Mobile App

42.6K US 64.4K Global
  •  
  • Quantified

    Directly Measured Data

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Updated Feb 26, 2015 • Next: Feb 27, 2015 by 9AM PST
Last Month
For Jan 27, 2015 - Feb 25, 2015
Uniques Visits Installs Upgrades
Cheezburger App 2.2.1 (iOS) 28,265 137,227 22,902 6,022
Cheezburger App 1.0.21 (Android) 6,261 154,213 732 1,683
Cheezburger App 1.2.15 (iOS) 2,763 49,494 1,228 49
Cheezburger App 1.2.14 (iOS) 2,205 48,803 1,263 30
Cheezburger App 1.0.19 (Android) 764 15,034 80 16
See all 38 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
 
140
Female
 
  62
 
 
 
< 18
 
 
127
18-24
 
213
25-34
 
 
128
35-44
 
  71
45-54
 
  54
55-64
 
  37
65+
 
  27
 
 
 
No Kids
 
 
106
Has Kids
 
  94
 
US Average
Index
 
 
$0-50k
 
 
122
$50-100k
 
  82
$100-150k
 
  76
$150k+
 
  65
 
 
 
No College
 
 
109
College
 
 
101
Grad School
 
  68
 
 
 
Caucasian
 
 
106
African American
 
  48
Asian
 
  88
Hispanic
 
 
112
Other
 
  98
 
US Average


Updated Feb 20, 2015 • Next: Mar 4, 2015 by 9AM PST

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.

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Updated Feb 20, 2015 • Next: Mar 4, 2015 by 9AM PST

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 not been shared by the publisher.

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   5,505
2-3   2,798
4-7   2,301
8-15   2,889
16-31   3,539
32-63   2,453
64-127   914
128-255   640
256-511   449
512+   436
1   7,282
2-3   5,832
4-7   4,547
8-15   3,501
16-31   2,517
32-63   1,277
64-127   211
128-255   3
256-511   1
512+   0

Top Countries

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

countries Visits % Of Total
1.
United States
456,132
68%
2.
United Kingdom
61,366
9%
3.
Canada
59,121
9%
4.
Australia
33,434
5%
5.
Germany
9,091
1%
6.
Netherlands
7,142
1%
7.
Sweden
4,735
1%
8.
New Zealand
3,642
1%
9.
Denmark
2,822
<1%
10.
France
2,718
<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
7,013
16%
2.
iPhone 6
5,109
12%
3.
iPhone 5
4,216
10%
4.
iPhone 4S
3,293
8%
5.
iPhone 5C
3,067
7%
6.
iPod touch
2,168
5%
7.
iPhone 6 Plus
1,954
5%
8.
iPhone 4
1,632
4%
9.
iPad 2
1,451
3%
10.
iPad mini
1,149
3%
11.
iPad 4th Gen
921
2%
12.
iPad Air
915
2%
13.
iPad 3rd Gen
666
2%
14.
SM-G900V
620
1%
15.
SCH-I545
603
1%
16.
iPad mini with Retina display
420
1%
17.
SAMSUNG-SGH-I337
351
1%
18.
iPad Air 2
350
1%
19.
SAMSUNG-SM-G900A
288
1%
20.
SCH-I535
287
1%
21.
SM-G900P
193
<1%
22.
iPhone 3GS
175
<1%
23.
XT1080
169
<1%
24.
SPH-L710
162
<1%
25.
SAMSUNG-SGH-I747
160
<1%
26.
SPH-L720
158
<1%
27.
SM-G900T
154
<1%
28.
SGH-M919
148
<1%
29.
SAMSUNG-SM-G870A
144
<1%
30.
SM-N900V
134
<1%
31.
XT907
122
<1%
32.
Nexus 5
113
<1%
33.
HTC One_M8
102
<1%
34.
Nexus 7
98
<1%
35.
SAMSUNG-SM-N900A
98
<1%
36.
HTC6525LVW
96
<1%
37.
SAMSUNG-SGH-I537
90
<1%
38.
iPad
90
<1%
39.
DROID RAZR HD
86
<1%
40.
SM-N910V
82
<1%
41.
VS980 4G
77
<1%
42.
VS985 4G
76
<1%
43.
SM-N900T
72
<1%
44.
SGH-T999
68
<1%
45.
SAMSUNG-SM-N910A
65
<1%
46.
LG-LS980
63
<1%
47.
XT1254
62
<1%
48.
HTC One
61
<1%
49.
XT1060
60
<1%
50.
HTCONE
57
<1%
51.
HTC6500LVW
56
<1%
52.
SCH-I605
55
<1%
53.
SPH-L720T
54
<1%
54.
SM-N900P
51
<1%
55.
XT1030
48
<1%
56.
LG-D415
45
<1%
57.
HTC6435LVW
44
<1%
58.
SCH-I435
42
<1%
59.
DROID RAZR
41
<1%
60.
iPad Mini 3
40
<1%
61.
831C
38
<1%
62.
LG-D800
37
<1%
63.
LG-D850
35
<1%
64.
SAMSUNG-SGH-I317
35
<1%
65.
SM-N910P
35
<1%
66.
SCH-R970
34
<1%
67.
SM-N910T
34
<1%
68.
XT1058
33
<1%
69.
KFTT
31
<1%
70.
LG-D851
31
<1%
71.
Nexus 4
31
<1%
72.
SM-G386T
30
<1%
73.
LGLS990
28
<1%
74.
XT1031
28
<1%
75.
LG-D801
27
<1%
76.
SPH-L900
27
<1%
77.
SGH-T989
26
<1%
78.
LGLS740
25
<1%
79.
SGH-T889
25
<1%
80.
SM-G900R4
25
<1%
81.
SGH-T399
22
<1%
82.
SM-T210R
22
<1%
83.
LG-E980
20
<1%
See all 83 device models

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

connections Visits % Of Total
1.
WiFi
333,127
73%
2.
Cellular Data
116,664
26%
3.
No Internet Connection
6,341
1%

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

carriers Visits % Of Total
1.
WiFi
333,127
73%
2.
AT&T
43,720
10%
3.
Verizon Wireless
37,577
8%
4.
Sprintcom Inc
15,263
3%
5.
T-Mobile USA
13,349
3%
6.
Disconnected
6,341
1%
7.
Unspecified US Carrier
2,862
1%
8.
Unrecognized Carrier
1,939
<1%
9.
US Cellular
816
<1%
10.
T-Mobile Deutschland GmbH
273
<1%
11.
Cellular South Inc
262
<1%
12.
Virgin Mobile
185
<1%
13.
GCI Communications Corp.
86
<1%
14.
Tracfone Wireless
69
<1%
15.
Metro PCS Wireless Inc
57
<1%
16.
Cricket Communications
55
<1%
17.
nTELOS Communications Inc (Virginia PCS Alliance LC)
49
<1%
18.
North East Cellular Inc.
24
<1%
19.
Smith Bagley Inc, dba Cellular One
22
<1%
20.
East Kentucky Network LLC dba Appalachian Wireless
8
<1%
21.
Iowa Wireless Services LLC
7
<1%
22.
Not Reported
6
<1%
23.
Union Telephone Company
6
<1%
24.
NTT DoCoMo Hokuriku Inc.
6
<1%
25.
O2 UK Ltd.
5
<1%
26.
Vodafone Libertel N.V.
4
<1%
27.
Bluegrass Cellular LLC
4
<1%
28.
Mobistar
2
<1%
29.
United Wireless Inc
1
<1%
30.
West Central Wireless
1
<1%
31.
China Unicom
1
<1%
32.
Commnet Wireless LLC
1
<1%
33.
CTC Telecom Inc
1
<1%
34.
Nextel Communications Inc
1
<1%
35.
T-Mobile UK
1
<1%
36.
Telcel
1
<1%
See all 36 carriers

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

OS versions Uniques % Of Total
1.
iOS / 8.1.3
17,820
42%
2.
iOS / 8.1.2
4,219
10%
3.
iOS / 7.1.2
3,399
8%
4.
Android / KOT49H
2,918
7%
5.
Android / KTU84P
2,075
5%
6.
iOS / 8.1
1,492
4%
7.
iOS / 8.1.1
1,329
3%
8.
iOS / 6.1.6
1,158
3%
9.
iOS / 7.1.1
1,086
3%
10.
iOS / 8.0.2
966
2%
11.
iOS / 7.0.4
850
2%
12.
iOS / 6.1.3
596
1%
13.
iOS / 8.0
549
1%
14.
iOS / 7.1
500
1%
15.
Android / JZO54K
335
1%
16.
iOS / 7.0.6
326
1%
17.
Android / SU6-7
210
<1%
18.
iOS / 7.0
198
<1%
19.
Android / LRX22C
190
<1%
20.
iOS / 7.0.2
188
<1%
21.
iOS / 7.0.3
186
<1%
22.
Android / JDQ39
148
<1%
23.
Android / JSS15J
148
<1%
24.
iOS / 5.1.1
125
<1%
25.
Android / KDA20.62-15.1
115
<1%
26.
Android / KDA20.62-15
92
<1%
27.
Android / KXA21.12-L1.26
92
<1%
28.
Android / LRX22G
90
<1%
29.
iOS / 6.1.4
90
<1%
30.
Android / LRX21T
83
<1%
31.
Android / KOT49I.VS98027A
75
<1%
32.
Android / KVT49L.VS98512B
75
<1%
33.
Android / KTU84L
70
<1%
34.
Android / IMM76D
68
<1%
35.
iOS / 6.1.2
68
<1%
36.
iOS / 6.1.5
66
<1%
37.
Android / KDF21.196-8
62
<1%
38.
Android / IML74K
56
<1%
39.
iOS / 6.1
55
<1%
40.
Android / KOT49I.LS980ZVE
54
<1%
41.
Android / 9.8.2O-72_VZW-16-5
40
<1%
42.
Android / KTU84M
40
<1%
43.
Android / KVT49L
40
<1%
44.
Android / GINGERBREAD
39
<1%
45.
Android / JRO03C
39
<1%
46.
Android / KOT49I.D41510e
39
<1%
47.
Android / KOT49I.D80020y
37
<1%
48.
Android / IMM76I
36
<1%
49.
Android / KVT49L.D85010f
30
<1%
50.
Android / KVT49L.D85110r
30
<1%
51.
iOS / 6.0.1
29
<1%
52.
Android / KVT49L.LS990ZV6
27
<1%
53.
Android / LRX22F
26
<1%
54.
Android / KOT49I.LS740ZV5
25
<1%
55.
Android / KOT49I.D80120g
24
<1%
56.
Android / KTU84Q
22
<1%
57.
Android / JLS36C
20
<1%
58.
Android / 14.4.B.0.56
18
<1%
59.
Android / KXB21.14-L2.4
17
<1%
60.
Android / 23.0.D.1.123
16
<1%
61.
Android / KOT49I.E98020h
16
<1%
62.
Android / KXA21.12-L1.28
16
<1%
63.
Android / KOT49I.LS995ZV9
15
<1%
64.
Android / KXA20.16-1.24-1.12
14
<1%
65.
Android / LXE22.46-11
14
<1%
66.
Android / 10.4.C.0.814
13
<1%
67.
Android / 9.8.0Q-97_MB886_FFW-28
13
<1%
68.
Android / LRX21Y
13
<1%
69.
Android / 9.8.2O-72_VZW-18-9
11
<1%
70.
Android / KXB21.14-L1.41
11
<1%
71.
Android / KXB21.14-L1.57
11
<1%
72.
Android / IMM76L
10
<1%
73.
Android / KRT16S.L34CV10c
9
<1%
74.
Android / KXB21.14-L1.61
9
<1%
75.
iOS / 6.0
9
<1%
76.
iOS / 8.2
9
<1%
77.
iOS / 8.3
9
<1%
78.
Android / C811M070
8
<1%
79.
Android / JWR67B
8
<1%
80.
Android / KOT49I.MS32310b
8
<1%
81.
Android / KOT49I.MS32310c
8
<1%
82.
Android / KOT49I.VS89022A
8
<1%
83.
Android / 9.8.2O-72_VZW-18-8
7
<1%
84.
Android / GRJ90
7
<1%
85.
Android / JOP40D
7
<1%
86.
Android / KOT49I.D95020f
7
<1%
87.
Android / KXB20.9-1.10-1.9
7
<1%
88.
Android / KOT49I.D41510c
6
<1%
89.
Android / KOT49I.LS885ZV4
6
<1%
90.
Android / KXB21.14-L1.45
6
<1%
91.
Android / 23.0.E.1.44
5
<1%
92.
Android / GRJ22
5
<1%
93.
Android / JDQ39B
5
<1%
94.
Android / KOT49I.VS450PP1
5
<1%
95.
Android / KXC21.5-40
5
<1%
96.
Android / LXB22.46-28
5
<1%
97.
Android / SU5-24
5
<1%
98.
iOS / 5.0.1
5
<1%
99.
Android / 9.8.2O-72_VZW-22
4
<1%
100.
Android / 9.8.2Q-50_SLS-13
4
<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%
1.0.21 (Android)   34%
2.2.1 (iOS)   30%
1.2.15 (iOS)   11%
1.2.14 (iOS)   11%
1.0.19 (Android)   3%
1.0.13 (Android)   3%
1.2.13 (iOS)   2%
1.2.12 (iOS)   2%
1.2.11 (iOS)   1%
1.2.4 (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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