Cheezburger Network

Monthly Uniques
6.5M US 13.1M Global

Cheezburger App Mobile App

55.9K US 85.5K Global


Updated Jul 3, 2015 • Next: Jul 4, 2015 by 9AM PDT
Last Month
For Jun 3, 2015 - Jul 2, 2015
Uniques Visits Installs Upgrades
Cheezburger App 2.4.0 (iOS) 44,844 726,404 5,347 38,976
Cheezburger App 2.3.1 (iOS) 25,339 148,364 613 2,064
Cheezburger App 1.0.21 (Android) 1,561 34,016 0 0
Cheezburger App 1.2.15 (iOS) 1,293 21,959 26 144
Cheezburger App 1.2.14 (iOS) 973 18,856 163 11
See all 35 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
 
144
Female
 
  58
 
 
 
< 18
 
 
121
18-24
 
216
25-34
 
 
132
35-44
 
  72
45-54
 
  50
55-64
 
  38
65+
 
  33
 
 
 
No Kids
 
 
121
Has Kids
 
  78
 
US Average
Index
 
 
$0-50k
 
 
123
$50-100k
 
  85
$100-150k
 
  71
$150k+
 
  59
 
 
 
No College
 
 
101
College
 
 
106
Grad School
 
  81
 
 
 
Caucasian
 
 
103
African American
 
  51
Asian
 
 
105
Hispanic
 
 
118
Other
 
 
101
 
US Average


Updated Jun 28, 2015 • Next: Jul 8, 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 Jun 28, 2015 • Next: Jul 8, 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   10,382
2-3   3,807
4-7   2,251
8-15   1,905
16-31   1,916
32-63   1,547
64-127   1,003
128-255   698
256-511   531
512+   408
1   11,947
2-3   9,714
4-7   6,014
8-15   4,648
16-31   3,925
32-63   3,610
64-127   3,252
128-255   2,983
256-511   2,397
512+   2,023

Top Countries

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

countries Visits % Of Total
1.
United States
994,421
68%
2.
United Kingdom
138,558
10%
3.
Canada
115,220
8%
4.
Australia
71,184
5%
5.
Germany
17,868
1%
6.
Netherlands
13,630
1%
7.
Sweden
11,646
1%
8.
Mexico
7,525
1%
9.
New Zealand
7,072
<1%
10.
France
6,403
<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
11,372
20%
2.
iPhone 5S
11,011
20%
3.
iPhone 5
5,296
9%
4.
iPhone 5C
4,489
8%
5.
iPhone 6 Plus
4,246
8%
6.
iPhone 4S
3,744
7%
7.
iPod touch
2,213
4%
8.
iPad 2
1,997
4%
9.
iPad mini
1,757
3%
10.
iPhone 4
1,664
3%
11.
iPad Air
1,597
3%
12.
iPad 4th Gen
1,346
2%
13.
iPad 3rd Gen
1,049
2%
14.
iPad Air 2
885
2%
15.
iPad mini with Retina display
818
1%
16.
SCH-I545
196
<1%
17.
SM-G900V
149
<1%
18.
iPad Mini 3
143
<1%
19.
iPhone 3GS
110
<1%
20.
SAMSUNG-SGH-I337
105
<1%
21.
SAMSUNG-SM-G900A
95
<1%
22.
SCH-I535
82
<1%
23.
iPad
64
<1%
24.
SM-G900T
54
<1%
25.
SAMSUNG-SM-G870A
51
<1%
26.
SAMSUNG-SGH-I747
48
<1%
27.
XT1080
46
<1%
28.
SPH-L710
44
<1%
29.
SM-G900P
39
<1%
30.
SGH-M919
38
<1%
31.
XT907
37
<1%
32.
SPH-L720
35
<1%
33.
SAMSUNG-SGH-I537
26
<1%
34.
SM-N900V
24
<1%
35.
XT1254
24
<1%
36.
KFTHWI
23
<1%
37.
SAMSUNG-SM-N900A
23
<1%
38.
KFSOWI
21
<1%
39.
KFTT
21
<1%
40.
SAMSUNG-SM-N910A
21
<1%
41.
SM-N910V
21
<1%
42.
SCH-I605
19
<1%
43.
XT1030
19
<1%
44.
Nexus 7
18
<1%
45.
DROID RAZR HD
17
<1%
46.
SPH-L720T
16
<1%
47.
HTC One
15
<1%
48.
HTC6500LVW
15
<1%
49.
LG-D415
15
<1%
50.
LG-LS980
15
<1%
51.
SM-N900P
15
<1%
52.
SM-N910T
15
<1%
53.
SCH-I435
14
<1%
54.
VS980 4G
13
<1%
55.
KFASWI
12
<1%
56.
Kindle Fire
12
<1%
57.
SCH-R970
12
<1%
58.
XT1060
12
<1%
59.
HTC One_M8
11
<1%
60.
HTC6525LVW
11
<1%
61.
LG-E980
11
<1%
62.
DROID RAZR
10
<1%
63.
SD4930UR
10
<1%
64.
SGH-T999
10
<1%
65.
XT1058
10
<1%
66.
Nexus 5
9
<1%
67.
SAMSUNG-SM-G730A
9
<1%
68.
SM-G386T
9
<1%
69.
HTCONE
8
<1%
70.
LG-D850
8
<1%
71.
SGH-T769
8
<1%
72.
SM-G860P
8
<1%
73.
SM-N900T
8
<1%
74.
SM-N910P
8
<1%
75.
HTC6435LVW
7
<1%
76.
KFJWI
7
<1%
77.
LG-D800
7
<1%
78.
SAMSUNG-SGH-I317
7
<1%
79.
SM-G386T1
7
<1%
80.
SM-G900R4
7
<1%
See all 80 device models

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

connections Visits % Of Total
1.
WiFi
742,836
75%
2.
Cellular Data
244,249
25%
3.
No Internet Connection
7,336
1%

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

carriers Visits % Of Total
1.
WiFi
742,836
75%
2.
AT&T
115,710
12%
3.
Verizon Wireless
79,925
8%
4.
Sprintcom Inc
29,147
3%
5.
T-Mobile USA
14,201
1%
6.
Disconnected
7,336
1%
7.
US Cellular
1,074
<1%
8.
T-Mobile Deutschland GmbH
950
<1%
9.
Cellular South Inc
907
<1%
10.
Unspecified US Carrier
835
<1%
11.
Unrecognized Carrier
387
<1%
12.
Tracfone Wireless
309
<1%
13.
Virgin Mobile
264
<1%
14.
GCI Communications Corp.
238
<1%
15.
nTELOS Communications Inc (Virginia PCS Alliance LC)
140
<1%
16.
Cricket Communications
35
<1%
17.
North East Cellular Inc.
29
<1%
18.
Telstra Corporation Ltd.
13
<1%
19.
China Unicom
13
<1%
20.
Smith Bagley Inc, dba Cellular One
11
<1%
21.
Wireless Communications Venture
9
<1%
22.
Bluegrass Cellular LLC
7
<1%
23.
Mobilkom Austria Aktiengesellschaft
7
<1%
24.
New Mexico RSA 4 East Ltd. Partnership
7
<1%
25.
Rogers Wireless
5
<1%
26.
MTPCS LLC
4
<1%
27.
Union Telephone Company
3
<1%
28.
Best Spain Telecom, SL
3
<1%
29.
Du
2
<1%
30.
Advantage Cellular Systems, Inc.
2
<1%
31.
Bell Mobility
2
<1%
32.
Not Reported
1
<1%
33.
United Wireless Inc
1
<1%
34.
West Central Wireless
1
<1%
35.
olleh Mobile
1
<1%
36.
Cablevision Systems Corporation
1
<1%
37.
KDDI Corporation
1
<1%
38.
New Cingular Wireless PCS, LLC
1
<1%
39.
O2 UK Ltd.
1
<1%
40.
SK Telecom
1
<1%
41.
Beeline
1
<1%
See all 41 carriers

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

OS versions Uniques % Of Total
1.
iOS / 8.3
37,360
67%
2.
iOS / 7.1.2
3,374
6%
3.
iOS / 8.4
3,374
6%
4.
iOS / 8.2
2,663
5%
5.
iOS / 8.1.3
2,373
4%
6.
iOS / 8.1.2
2,062
4%
7.
iOS / 8.1
1,018
2%
8.
iOS / 7.1.1
1,004
2%
9.
iOS / 8.1.1
893
2%
10.
iOS / 6.1.6
739
1%
11.
iOS / 7.0.4
595
1%
12.
iOS / 8.0.2
581
1%
13.
Android / KOT49H
518
1%
14.
iOS / 7.1
465
1%
15.
iOS / 8.0
325
1%
16.
iOS / 6.1.3
282
1%
17.
Android / LRX22C
280
1%
18.
iOS / 7.0.6
259
<1%
19.
Android / LRX21T
247
<1%
20.
Android / KTU84P
233
<1%
21.
iOS / 7.0.2
138
<1%
22.
iOS / 7.0
118
<1%
23.
iOS / 7.0.3
118
<1%
24.
Android / LRX22G
101
<1%
25.
Android / JZO54K
89
<1%
26.
iOS / 9.0
84
<1%
27.
iOS / 5.1.1
80
<1%
28.
iOS / 6.1.4
78
<1%
29.
Android / SU6-7.2
63
<1%
30.
Android / KTU84M
62
<1%
31.
Android / LRX21V
60
<1%
32.
Android / JDQ39
42
<1%
33.
Android / JSS15J
40
<1%
34.
iOS / 6.1.2
35
<1%
35.
Android / KDA20.62-15.1
33
<1%
36.
Android / IML74K
31
<1%
37.
Android / GINGERBREAD
28
<1%
38.
iOS / 6.1
25
<1%
39.
Android / SU2-12
24
<1%
40.
iOS / 6.1.5
23
<1%
41.
Android / LRX21Y
21
<1%
42.
Android / IMM76D
20
<1%
43.
Android / KDA20.62-15
19
<1%
44.
Android / JRO03C
14
<1%
45.
Android / KXA21.12-L1.26
14
<1%
46.
Android / LMY47V
14
<1%
47.
Android / KVT49L
13
<1%
48.
Android / KOT49I.D41510e
11
<1%
49.
Android / KXA21.12-L1.26-3
11
<1%
50.
iOS / 6.0.1
11
<1%
51.
Android / 9.8.2O-72_VZW-16-5
9
<1%
52.
Android / KTU84L
8
<1%
53.
Android / LMY48B
8
<1%
54.
Android / IMM76I
7
<1%
55.
Android / KOT49I.E98020h
7
<1%
56.
Android / JLS36C
6
<1%
57.
Android / SU6-7
6
<1%
58.
Android / GRJ22
5
<1%
59.
Android / KOT49I.D95020f
5
<1%
60.
iOS / 6.0
5
<1%
61.
Android / 23.1.C.0.385
4
<1%
62.
Android / 5.5.1_84_D3G-66_M2-10
4
<1%
63.
Android / IMM76L
4
<1%
64.
Android / KOT49I.LS740ZV5
4
<1%
65.
Android / KOT49I.LS995ZVA
4
<1%
66.
Android / KOT49I.VS89022A
4
<1%
67.
Android / KXB21.14-L1.57
4
<1%
68.
Android / 23.0.D.1.123
3
<1%
69.
Android / C811M070
3
<1%
70.
Android / IML77
3
<1%
71.
Android / KOT49I.D32110c
3
<1%
72.
Android / KOT49I.D41510c
3
<1%
73.
Android / KOT49I.D63110b
3
<1%
74.
Android / KOT49I.L31L10d
3
<1%
75.
Android / KXA20.16-1.27
3
<1%
76.
Android / KXA21.12-L1.28
3
<1%
77.
Android / KXB21.14-L2.4
3
<1%
78.
Android / LMY47D
3
<1%
79.
iOS / 5.1
3
<1%
80.
Android / 10.3.2.110
2
<1%
81.
Android / 10.4.C.0.814
2
<1%
82.
Android / 14.5.B.0.236
2
<1%
83.
Android / 23.0.E.1.44
2
<1%
84.
Android / 9.1.F.1.120
2
<1%
85.
Android / 9.8.0Q-97_MB886_FFW-28
2
<1%
86.
Android / 9.8.2Q-122_XT897_FFW-5
2
<1%
87.
Android / GRJ90
2
<1%
88.
Android / JDQ39B
2
<1%
89.
Android / JWR67B
2
<1%
90.
Android / KOT49I.D80020y
2
<1%
91.
Android / KOT49I.D95920s
2
<1%
92.
Android / KOT49I.E98020g
2
<1%
93.
Android / KOT49I.LS660ZV5
2
<1%
94.
Android / KOT49I.MS32310c
2
<1%
95.
Android / KOT49I.VK81024A
2
<1%
96.
Android / KOT49I.VS450PP1
2
<1%
97.
Android / KOT49I.VS88012A
2
<1%
98.
Android / KRT16S.L34CV10c
2
<1%
99.
Android / KVT49L.LS990ZV6
2
<1%
100.
Android / KVT49L.US99010c
2
<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)   73%
2.3.1 (iOS)   15%
1.0.21 (Android)   3%
1.2.15 (iOS)   2%
1.2.14 (iOS)   2%
2.2.1 (iOS)   1%
2.3.0 (iOS)   1%
1.0.19 (Android)   1%
1.2.12 (iOS)   <1%
1.0.13 (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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