Cheezburger Network

Monthly Uniques
6.1M US 12.3M Global

Cheezburger App Mobile App

53.7K US 81.8K Global


Updated Jul 28, 2015 • Next: Jul 29, 2015 by 9AM PDT
Last Month
For Jun 28, 2015 - Jul 27, 2015
Uniques Visits Installs Upgrades
Cheezburger App 2.4.0 (iOS) 47,387 825,483 5,800 12,230
Cheezburger App 2.3.1 (iOS) 1,775 21,008 7 377
Cheezburger App 1.0.21 (Android) 1,262 26,987 0 0
Cheezburger App 1.2.15 (iOS) 1,111 16,981 23 115
Cheezburger App 1.2.14 (iOS) 858 13,917 148 13
See all 34 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
 
145
Female
 
  57
 
 
 
< 18
 
 
115
18-24
 
218
25-34
 
 
130
35-44
 
  76
45-54
 
  54
55-64
 
  39
65+
 
  29
 
 
 
No Kids
 
 
121
Has Kids
 
  79
 
US Average
Index
 
 
$0-50k
 
 
119
$50-100k
 
  88
$100-150k
 
  75
$150k+
 
  66
 
 
 
No College
 
 
106
College
 
 
103
Grad School
 
  73
 
 
 
Caucasian
 
 
104
African American
 
  52
Asian
 
 
121
Hispanic
 
 
109
Other
 
 
102
 
US Average


Updated Jul 26, 2015 • Next: Aug 5, 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 Jul 26, 2015 • Next: Aug 5, 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   9,975
2-3   3,598
4-7   2,146
8-15   1,833
16-31   1,714
32-63   1,340
64-127   965
128-255   710
256-511   521
512+   417
1   11,898
2-3   9,420
4-7   5,632
8-15   4,233
16-31   3,617
32-63   3,498
64-127   3,018
128-255   2,813
256-511   2,374
512+   2,542

Top Countries

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

countries Visits % Of Total
1.
United States
936,723
69%
2.
United Kingdom
127,164
9%
3.
Canada
104,432
8%
4.
Australia
66,307
5%
5.
Germany
16,381
1%
6.
Netherlands
12,416
1%
7.
Sweden
10,349
1%
8.
Mexico
7,528
1%
9.
New Zealand
6,757
<1%
10.
France
5,913
<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
11,603
22%
2.
iPhone 5S
10,386
19%
3.
iPhone 5
4,916
9%
4.
iPhone 6 Plus
4,356
8%
5.
iPhone 5C
4,139
8%
6.
iPhone 4S
3,436
6%
7.
iPod touch
2,034
4%
8.
iPad 2
1,951
4%
9.
iPad mini
1,629
3%
10.
iPad Air
1,554
3%
11.
iPhone 4
1,464
3%
12.
iPad 4th Gen
1,344
3%
13.
iPad 3rd Gen
993
2%
14.
iPad Air 2
883
2%
15.
iPad mini with Retina display
765
1%
16.
iPad Mini 3
174
<1%
17.
SCH-I545
146
<1%
18.
SM-G900V
109
<1%
19.
iPhone 3GS
91
<1%
20.
SAMSUNG-SGH-I337
81
<1%
21.
SAMSUNG-SM-G900A
80
<1%
22.
SCH-I535
63
<1%
23.
iPad
57
<1%
24.
XT1080
49
<1%
25.
SM-G900T
41
<1%
26.
SGH-M919
37
<1%
27.
SPH-L710
37
<1%
28.
SAMSUNG-SGH-I747
35
<1%
29.
SM-G900P
35
<1%
30.
XT907
33
<1%
31.
SPH-L720
32
<1%
32.
SAMSUNG-SM-G870A
31
<1%
33.
SM-N900V
29
<1%
34.
XT1254
27
<1%
35.
SAMSUNG-SM-N900A
23
<1%
36.
SAMSUNG-SGH-I537
22
<1%
37.
SM-N910V
21
<1%
38.
KFTT
20
<1%
39.
SD4930UR
20
<1%
40.
SAMSUNG-SM-N910A
19
<1%
41.
SCH-I435
18
<1%
42.
Nexus 7
16
<1%
43.
XT1030
16
<1%
44.
KFSOWI
15
<1%
45.
KFTHWI
15
<1%
46.
SCH-R970
14
<1%
47.
SGH-T999
14
<1%
48.
SCH-I605
11
<1%
49.
SM-N910P
11
<1%
50.
SM-N910T
11
<1%
51.
VS985 4G
11
<1%
52.
XT1060
11
<1%
53.
DROID RAZR
10
<1%
54.
HTC One
10
<1%
55.
LG-D415
10
<1%
56.
VS980 4G
10
<1%
57.
HTC6525LVW
9
<1%
58.
Kindle Fire
9
<1%
59.
Nexus 5
9
<1%
60.
SM-G386T
9
<1%
61.
SPH-L720T
9
<1%
62.
XT1058
9
<1%
63.
DROID RAZR HD
8
<1%
64.
HTC One_M8
8
<1%
65.
HTC6435LVW
8
<1%
66.
HTC6500LVW
8
<1%
67.
KFJWI
8
<1%
68.
SAMSUNG-SGH-I257
8
<1%
69.
SM-G860P
8
<1%
70.
SM-T230NU
8
<1%
71.
LG-D800
7
<1%
72.
LG-D850
7
<1%
73.
LG-E980
7
<1%
74.
LG-LS980
7
<1%
75.
SM-N900T
7
<1%
76.
D6708
6
<1%
77.
HTCONE
6
<1%
78.
KFOT
6
<1%
79.
LG-D801
6
<1%
80.
SAMSUNG-SGH-I317
6
<1%
See all 80 device models

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

connections Visits % Of Total
1.
WiFi
706,218
75%
2.
Cellular Data
223,987
24%
3.
No Internet Connection
6,518
1%

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

carriers Visits % Of Total
1.
WiFi
706,218
75%
2.
AT&T
106,432
11%
3.
Verizon Wireless
73,171
8%
4.
Sprintcom Inc
26,680
3%
5.
T-Mobile USA
13,240
1%
6.
Disconnected
6,518
1%
7.
US Cellular
865
<1%
8.
T-Mobile Deutschland GmbH
785
<1%
9.
Cellular South Inc
771
<1%
10.
Unspecified US Carrier
619
<1%
11.
Unrecognized Carrier
444
<1%
12.
GCI Communications Corp.
266
<1%
13.
Tracfone Wireless
232
<1%
14.
Virgin Mobile
226
<1%
15.
nTELOS Communications Inc (Virginia PCS Alliance LC)
88
<1%
16.
Smith Bagley Inc, dba Cellular One
35
<1%
17.
North East Cellular Inc.
32
<1%
18.
Telstra Corporation Ltd.
31
<1%
19.
Wireless Communications Venture
15
<1%
20.
olleh Mobile
14
<1%
21.
Telus Mobility
7
<1%
22.
China Unicom
6
<1%
23.
Cricket Communications
6
<1%
24.
MTPCS LLC
4
<1%
25.
Rogers Wireless
3
<1%
26.
Union Telephone Company
2
<1%
27.
WIND
2
<1%
28.
Du
2
<1%
29.
Advantage Cellular Systems, Inc.
2
<1%
30.
Not Reported
1
<1%
31.
Telecom Italia Mobile (TIM)
1
<1%
32.
Videotron
1
<1%
33.
Bluegrass Cellular LLC
1
<1%
34.
Commnet Wireless LLC
1
<1%
35.
Mobilkom Austria Aktiengesellschaft
1
<1%
36.
T-Mobile UK
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 / 8.3
26,654
50%
2.
iOS / 8.4
24,998
47%
3.
iOS / 7.1.2
2,826
5%
4.
iOS / 8.2
1,962
4%
5.
iOS / 8.1.3
1,900
4%
6.
iOS / 8.1.2
1,583
3%
7.
iOS / 7.1.1
871
2%
8.
iOS / 8.1
809
2%
9.
iOS / 8.1.1
709
1%
10.
iOS / 6.1.6
646
1%
11.
iOS / 7.0.4
488
1%
12.
iOS / 8.0.2
472
1%
13.
Android / KOT49H
425
1%
14.
iOS / 7.1
423
1%
15.
iOS / 9.0
393
1%
16.
iOS / 6.1.3
243
<1%
17.
iOS / 8.0
242
<1%
18.
Android / LRX22C
232
<1%
19.
Android / KTU84P
202
<1%
20.
iOS / 7.0.6
202
<1%
21.
Android / LRX21T
190
<1%
22.
iOS / 7.0
118
<1%
23.
iOS / 7.0.2
118
<1%
24.
iOS / 7.0.3
94
<1%
25.
Android / LRX22G
76
<1%
26.
iOS / 5.1.1
71
<1%
27.
Android / JZO54K
66
<1%
28.
Android / SU6-7.2
63
<1%
29.
iOS / 6.1.4
59
<1%
30.
Android / LRX21V
49
<1%
31.
Android / KTU84M
41
<1%
32.
Android / IML74K
31
<1%
33.
iOS / 6.1.2
30
<1%
34.
Android / JDQ39
28
<1%
35.
Android / JSS15J
28
<1%
36.
Android / KDA20.62-15.1
25
<1%
37.
Android / LRX21Y
24
<1%
38.
Android / SU2-12
22
<1%
39.
iOS / 6.1.5
21
<1%
40.
Android / IMM76D
19
<1%
41.
iOS / 6.1
19
<1%
42.
Android / GINGERBREAD
17
<1%
43.
iOS / 6.0.1
16
<1%
44.
Android / KDA20.62-15
14
<1%
45.
Android / KXA21.12-L1.26-3
11
<1%
46.
Android / 9.8.2O-72_VZW-16-5
10
<1%
47.
Android / SU3TL-38
10
<1%
48.
Android / KXA21.12-L1.26
9
<1%
49.
Android / LMY47V
9
<1%
50.
Android / KOT49I.D41510e
8
<1%
51.
Android / KVT49L
8
<1%
52.
Android / LMY48B
8
<1%
53.
Android / IMM76L
7
<1%
54.
Android / KOT49I.E98020h
7
<1%
55.
Android / KTU84L
7
<1%
56.
Android / 23.0.E.1.44
6
<1%
57.
Android / KOT49I.LS740ZV5
5
<1%
58.
Android / LMY47X
5
<1%
59.
iOS / 6.0
5
<1%
60.
Android / 10.4.C.0.814
4
<1%
61.
Android / JLS36C
4
<1%
62.
Android / JRO03C
4
<1%
63.
Android / LMY48G
4
<1%
64.
iOS / 5.1
4
<1%
65.
Android / 9.1.F.1.120
3
<1%
66.
Android / GRJ22
3
<1%
67.
Android / IMM76I
3
<1%
68.
Android / KOT49I.D95920s
3
<1%
69.
Android / KOT49I.L41CV10a
3
<1%
70.
Android / KOT49I.LS885ZV5
3
<1%
71.
Android / KOT49I.V41010d
3
<1%
72.
Android / KOT49I.VS89022A
3
<1%
73.
Android / KXA21.12-L1.28
3
<1%
74.
Android / SU3TL-39
3
<1%
75.
iOS / 5.0.1
3
<1%
76.
Android / 6.0.C.1.257
2
<1%
77.
Android / GRI40
2
<1%
78.
Android / GRJ90
2
<1%
79.
Android / HuaweiH881C
2
<1%
80.
Android / IML77
2
<1%
81.
Android / KOT49I.D95020f
2
<1%
82.
Android / KOT49I.L31L10d
2
<1%
83.
Android / KOT49I.MS32310c
2
<1%
84.
Android / KVT49L.D85110r
2
<1%
85.
Android / KVT49L.LS990ZV6
2
<1%
86.
Android / KXA20.16-1.27
2
<1%
87.
Android / KXB20.9-1.10-1.9
2
<1%
88.
Android / KXB21.14-L1.41
2
<1%
89.
Android / KXB21.14-L1.57
2
<1%
90.
Android / KXB21.14-L2.4
2
<1%
91.
Android / LXE22.46-33
2
<1%
92.
iOS / 6.1.1
2
<1%
93.
iOS / 8.4.1
2
<1%
94.
Android / 10.5.1.A.0.283
1
<1%
95.
Android / 14.5.B.0.236
1
<1%
96.
Android / 23.1.A.1.28
1
<1%
97.
Android / 23.1.C.0.385
1
<1%
98.
Android / 3.0.1.B.0.285
1
<1%
99.
Android / 4.5.1_57_DR2-31
1
<1%
100.
Android / 4.5.1_57_DX9-10
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)   88%
1.0.21 (Android)   3%
2.3.1 (iOS)   2%
1.2.15 (iOS)   2%
1.2.14 (iOS)   1%
2.2.1 (iOS)   1%
1.0.19 (Android)   <1%
2.3.0 (iOS)   <1%
1.0.13 (Android)   <1%
1.2.13 (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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