Cheezburger Network

Monthly Uniques
6.8M US 12.9M Global

Cheezburger App Mobile App

50.7K US 76.4K Global


Updated Aug 29, 2015 • Next: Aug 30, 2015 by 9AM PDT
Last Month
For Jul 30, 2015 - Aug 28, 2015
Uniques Visits Installs Upgrades
Cheezburger App 2.4.0 (iOS) 46,051 804,631 5,434 8,119
Cheezburger App 1.0.21 (Android) 986 20,728 0 0
Cheezburger App 2.3.1 (iOS) 924 11,013 10 199
Cheezburger App 1.2.15 (iOS) 924 13,812 20 110
Cheezburger App 1.2.14 (iOS) 604 9,869 84 9
See all 33 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
 
147
Female
 
  55
 
 
 
< 18
 
 
127
18-24
 
213
25-34
 
 
125
35-44
 
  71
45-54
 
  54
55-64
 
  41
65+
 
  28
 
 
 
No Kids
 
 
120
Has Kids
 
  80
 
US Average
Index
 
 
$0-50k
 
 
121
$50-100k
 
  86
$100-150k
 
  70
$150k+
 
  65
 
 
 
No College
 
 
108
College
 
 
100
Grad School
 
  76
 
 
 
Caucasian
 
 
105
African American
 
  49
Asian
 
 
118
Hispanic
 
 
100
Other
 
  99
 
US Average


Updated Aug 24, 2015 • Next: Sep 2, 2015 by 9AM PDT

Audience Interests


Top Interests

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Interests

These content topics represent the interests of a property's users based on their browsing behavior.

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

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

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 Aug 24, 2015 • Next: Sep 2, 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.

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   9,076
2-3   3,249
4-7   1,922
8-15   1,704
16-31   1,536
32-63   1,256
64-127   866
128-255   627
256-511   481
512+   399
1   11,896
2-3   8,290
4-7   5,031
8-15   3,922
16-31   3,546
32-63   3,280
64-127   2,977
128-255   2,640
256-511   2,185
512+   2,466

Top Countries

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

countries Visits % Of Total
1.
United States
884,063
69%
2.
United Kingdom
118,390
9%
3.
Canada
96,651
8%
4.
Australia
61,977
5%
5.
Germany
14,460
1%
6.
Netherlands
11,244
1%
7.
Sweden
10,334
1%
8.
Mexico
6,593
1%
9.
New Zealand
6,167
<1%
10.
France
5,739
<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 6
11,517
23%
2.
iPhone 5S
9,766
19%
3.
iPhone 5
4,394
9%
4.
iPhone 6 Plus
4,302
8%
5.
iPhone 5C
3,855
8%
6.
iPhone 4S
2,947
6%
7.
iPod touch
1,849
4%
8.
iPad 2
1,826
4%
9.
iPad mini
1,532
3%
10.
iPad Air
1,525
3%
11.
iPhone 4
1,292
3%
12.
iPad 4th Gen
1,279
3%
13.
iPad Air 2
960
2%
14.
iPad 3rd Gen
944
2%
15.
iPad mini with Retina display
761
2%
16.
iPad Mini 3
193
<1%
17.
SM-G900V
112
<1%
18.
SCH-I545
104
<1%
19.
iPhone 3GS
71
<1%
20.
SAMSUNG-SGH-I337
63
<1%
21.
SAMSUNG-SM-G900A
60
<1%
22.
iPad
54
<1%
23.
SCH-I535
39
<1%
24.
SAMSUNG-SGH-I747
38
<1%
25.
iPod7,1
38
<1%
26.
XT1080
36
<1%
27.
SGH-M919
31
<1%
28.
SAMSUNG-SM-G870A
30
<1%
29.
SM-G900T
28
<1%
30.
SM-G900P
26
<1%
31.
SPH-L720
20
<1%
32.
SAMSUNG-SM-N910A
19
<1%
33.
SPH-L720T
19
<1%
34.
XT907
19
<1%
35.
KFTT
18
<1%
36.
SM-N900V
18
<1%
37.
SAMSUNG-SGH-I537
17
<1%
38.
SPH-L710
17
<1%
39.
KFTHWI
16
<1%
40.
HTC6500LVW
15
<1%
41.
SM-N910V
15
<1%
42.
XT1030
15
<1%
43.
XT1254
15
<1%
44.
HTC One_M8
13
<1%
45.
KFASWI
13
<1%
46.
KFSOWI
11
<1%
47.
SAMSUNG-SM-N900A
11
<1%
48.
SM-N910T
11
<1%
49.
SCH-I605
10
<1%
50.
HTC One
9
<1%
51.
Kindle Fire
9
<1%
52.
Nexus 7
9
<1%
53.
SCH-I435
9
<1%
54.
SD4930UR
9
<1%
55.
SGH-T999
9
<1%
56.
SM-G900R4
9
<1%
57.
SAMSUNG-SGH-I317
8
<1%
58.
SM-N900T
8
<1%
59.
VS980 4G
8
<1%
60.
XT1058
8
<1%
61.
LG-E980
7
<1%
62.
VS985 4G
7
<1%
63.
XT1060
7
<1%
64.
DROID RAZR HD
6
<1%
65.
HTCONE
6
<1%
66.
LG-D415
6
<1%
67.
Nexus 5
6
<1%
68.
SCH-R530U
6
<1%
69.
SCH-R970
6
<1%
70.
SM-G386T
6
<1%
71.
SM-N900P
6
<1%
72.
0PCV1
5
<1%
73.
831C
5
<1%
74.
KFJWI
5
<1%
75.
LG-D851
5
<1%
76.
LGLS990
5
<1%
77.
SGH-T769
5
<1%
78.
SM-S765C
5
<1%
79.
SPH-L900
5
<1%
80.
VS870 4G
5
<1%
See all 80 device models

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

connections Visits % Of Total
1.
WiFi
663,867
75%
2.
Cellular Data
214,443
24%
3.
No Internet Connection
5,753
1%

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

carriers Visits % Of Total
1.
WiFi
663,867
75%
2.
AT&T
100,813
11%
3.
Verizon Wireless
70,155
8%
4.
Sprintcom Inc
26,245
3%
5.
T-Mobile USA
12,959
1%
6.
Disconnected
5,753
1%
7.
US Cellular
886
<1%
8.
Cellular South Inc
858
<1%
9.
T-Mobile Deutschland GmbH
744
<1%
10.
Unspecified US Carrier
401
<1%
11.
Unrecognized Carrier
321
<1%
12.
Tracfone Wireless
280
<1%
13.
Virgin Mobile
254
<1%
14.
GCI Communications Corp.
205
<1%
15.
nTELOS Communications Inc (Virginia PCS Alliance LC)
93
<1%
16.
North East Cellular Inc.
40
<1%
17.
NTT DoCoMo Hokuriku Inc.
29
<1%
18.
Carolina West Wireless
21
<1%
19.
Smith Bagley Inc, dba Cellular One
20
<1%
20.
Telstra Corporation Ltd.
18
<1%
21.
China Unicom
18
<1%
22.
olleh Mobile
12
<1%
23.
Hutchison 3G UK Ltd.
12
<1%
24.
WIND
9
<1%
25.
Cricket Communications
7
<1%
26.
Nextel Communications Inc
7
<1%
27.
Not Reported
6
<1%
28.
Bluegrass Cellular LLC
6
<1%
29.
Fido Solutions
3
<1%
30.
Pine Telephone Company dba Pine Cellular
3
<1%
31.
Bell Mobility
3
<1%
32.
Union Telephone Company
2
<1%
33.
Digicel Ltd
2
<1%
34.
MTPCS LLC
2
<1%
35.
Rogers Wireless
2
<1%
36.
Vodafone Network Pty. Ltd.
1
<1%
37.
Wireless Communications Venture
1
<1%
38.
Commnet Wireless LLC
1
<1%
39.
Northeast Wireless Networks LLC
1
<1%
40.
O2 UK Ltd.
1
<1%
41.
Omnitel Pronto Italia (OPI)
1
<1%
42.
Telcel
1
<1%
See all 42 carriers

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

OS versions Uniques % Of Total
1.
iOS / 8.4
26,363
52%
2.
iOS / 8.4.1
15,109
30%
3.
iOS / 8.3
8,531
17%
4.
iOS / 7.1.2
2,439
5%
5.
iOS / 8.2
1,374
3%
6.
iOS / 8.1.3
1,327
3%
7.
iOS / 8.1.2
1,256
2%
8.
iOS / 7.1.1
728
1%
9.
iOS / 8.1
692
1%
10.
iOS / 6.1.6
553
1%
11.
iOS / 8.1.1
514
1%
12.
iOS / 9.0
469
1%
13.
iOS / 7.0.4
406
1%
14.
iOS / 8.0.2
357
1%
15.
iOS / 7.1
348
1%
16.
Android / KOT49H
304
1%
17.
iOS / 8.0
203
<1%
18.
iOS / 6.1.3
197
<1%
19.
iOS / 7.0.6
194
<1%
20.
Android / LRX21T
186
<1%
21.
Android / LRX22C
184
<1%
22.
Android / KTU84P
139
<1%
23.
iOS / 7.0
111
<1%
24.
iOS / 7.0.2
97
<1%
25.
iOS / 7.0.3
88
<1%
26.
Android / LRX22G
70
<1%
27.
iOS / 5.1.1
67
<1%
28.
Android / JZO54K
56
<1%
29.
iOS / 6.1.4
55
<1%
30.
Android / SU6-7.2
50
<1%
31.
Android / KTU84M
44
<1%
32.
iOS / 6.1.2
31
<1%
33.
Android / LRX21V
29
<1%
34.
Android / GINGERBREAD
25
<1%
35.
Android / JDQ39
25
<1%
36.
Android / IML74K
24
<1%
37.
Android / JSS15J
22
<1%
38.
Android / LRX21Y
20
<1%
39.
Android / IMM76D
17
<1%
40.
iOS / 6.1
16
<1%
41.
iOS / 6.1.5
16
<1%
42.
Android / KDA20.62-15
12
<1%
43.
Android / KDA20.62-15.1
12
<1%
44.
Android / LMY47X
12
<1%
45.
Android / SU3TL-39
12
<1%
46.
iOS / 6.0.1
12
<1%
47.
Android / JLS36C
9
<1%
48.
Android / JRO03C
9
<1%
49.
Android / KXA21.12-L1.26-3
7
<1%
50.
Android / LMY48B
6
<1%
51.
Android / LPA23.12-21.1
6
<1%
52.
Android / IMM76I
5
<1%
53.
Android / KOT49I.E98020h
5
<1%
54.
Android / KVT49L
5
<1%
55.
iOS / 6.0
5
<1%
56.
Android / 23.0.E.1.44
4
<1%
57.
Android / 9.8.2O-72_VZW-16-5
4
<1%
58.
Android / KOT49I.D41510e
4
<1%
59.
Android / LMY47V
4
<1%
60.
Android / LMY48G
4
<1%
61.
Android / LMY48I
4
<1%
62.
Android / 9.8.2Q-122_XT897_FFW-5
3
<1%
63.
Android / IML77
3
<1%
64.
Android / KOT49I.D95020f
3
<1%
65.
Android / KRT16S.L34CV10c
3
<1%
66.
Android / KXB21.14-L2.4
3
<1%
67.
Android / SU2-12
3
<1%
68.
Android / 10.3.2.110
2
<1%
69.
Android / 10.4.C.0.814
2
<1%
70.
Android / 5.5.1_84_D3G-66_M2-10
2
<1%
71.
Android / 9.8.0Q-97_MB886_FFW-28
2
<1%
72.
Android / 9.8.2O-72_VZW-18-9
2
<1%
73.
Android / JDQ39B
2
<1%
74.
Android / KOT49I.D95920s
2
<1%
75.
Android / KOT49I.L31L10d
2
<1%
76.
Android / KOT49I.LS885ZV5
2
<1%
77.
Android / KOT49I.MS32310c
2
<1%
78.
Android / KTU84Q
2
<1%
79.
Android / KXA21.12-L1.26
2
<1%
80.
Android / KXB21.14-L1.41
2
<1%
81.
Android / KXB21.14-L1.57
2
<1%
82.
Android / KXB21.14-L1.63
2
<1%
83.
iOS / 5.0.1
2
<1%
84.
iOS / 9.1
2
<1%
85.
Android / 10.5.1.A.0.283
1
<1%
86.
Android / 10.6.A.0.454
1
<1%
87.
Android / 14.5.A.0.283
1
<1%
88.
Android / 14.5.B.0.236
1
<1%
89.
Android / 23.1.C.0.385
1
<1%
90.
Android / 4.5.1_57_D2GA-59
1
<1%
91.
Android / 9.1.F.1.120
1
<1%
92.
Android / 9.8.1Q-94-1
1
<1%
93.
Android / 9.8.2O-72_VZW-18-8
1
<1%
94.
Android / C811M070
1
<1%
95.
Android / FRG83G
1
<1%
96.
Android / FROYO
1
<1%
97.
Android / HuaweiH867G
1
<1%
98.
Android / IMM76L
1
<1%
99.
Android / JRO03L
1
<1%
100.
Android / JZO54M
1
<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.

Mobile Apps | Versions of Cheezburger Ap…
Cheezburger App   100%
Loquillo App   <1%
2.4.0 (iOS)   91%
1.0.21 (Android)   2%
1.2.15 (iOS)   2%
2.3.1 (iOS)   1%
1.2.14 (iOS)   1%
2.2.1 (iOS)   <1%
1.0.19 (Android)   <1%
1.2.12 (iOS)   <1%
1.0.13 (Android)   <1%
2.3.0 (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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