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Cheezburger Network

Monthly Uniques
7.2M US 14.2M Global

Cheezburger App Mobile App

63.7K US 97.0K Global
  •  
  • Quantified

    Directly Measured Data

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Updated Apr 26, 2015 • Next: Apr 27, 2015 by 9AM PDT
Last Month
For Mar 27, 2015 - Apr 25, 2015
Uniques Visits Installs Upgrades
Cheezburger App 2.2.1 (iOS) 41,314 468,733 9,676 2,128
Cheezburger App 2.3.0 (iOS) 39,234 434,432 4,331 34,281
Cheezburger App 2.3.1 (iOS) 19,404 66,705 608 18,633
Cheezburger App 1.0.21 (Android) 3,299 73,664 166 172
Cheezburger App 1.2.15 (iOS) 1,829 34,712 309 88
See all 51 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
 
140
Female
 
  62
 
 
 
< 18
 
 
116
18-24
 
205
25-34
 
 
142
35-44
 
  76
45-54
 
  52
55-64
 
  37
65+
 
  28
 
 
 
No Kids
 
 
115
Has Kids
 
  85
 
US Average
Index
 
 
$0-50k
 
 
118
$50-100k
 
  88
$100-150k
 
  75
$150k+
 
  69
 
 
 
No College
 
 
103
College
 
 
103
Grad School
 
  82
 
 
 
Caucasian
 
 
103
African American
 
  59
Asian
 
 
117
Hispanic
 
 
111
Other
 
 
102
 
US Average


Updated Apr 26, 2015 • Next: May 6, 2015 by 9AM PDT

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 Apr 26, 2015 • Next: May 6, 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   11,112
2-3   4,372
4-7   2,577
8-15   2,502
16-31   2,728
32-63   2,124
64-127   1,079
128-255   815
256-511   564
512+   451
1   15,826
2-3   10,246
4-7   6,560
8-15   4,926
16-31   4,337
32-63   4,210
64-127   3,749
128-255   3,183
256-511   2,702
512+   2,158

Top Countries

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

countries Visits % Of Total
1.
United States
1,148,928
69%
2.
United Kingdom
152,549
9%
3.
Canada
138,748
8%
4.
Australia
81,671
5%
5.
Germany
20,384
1%
6.
Netherlands
16,030
1%
7.
Sweden
13,313
1%
8.
New Zealand
8,454
1%
9.
Mexico
8,319
<1%
10.
France
7,200
<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
12,367
19%
2.
iPhone 6
10,499
16%
3.
iPhone 5
6,538
10%
4.
iPhone 5C
5,088
8%
5.
iPhone 4S
4,719
7%
6.
iPhone 6 Plus
4,036
6%
7.
iPod touch
2,649
4%
8.
iPad 2
2,381
4%
9.
iPhone 4
2,178
3%
10.
iPad mini
2,081
3%
11.
iPad Air
1,779
3%
12.
iPad 4th Gen
1,608
3%
13.
iPad 3rd Gen
1,230
2%
14.
iPad mini with Retina display
911
1%
15.
iPad Air 2
785
1%
16.
SCH-I545
378
1%
17.
SM-G900V
284
<1%
18.
SAMSUNG-SGH-I337
202
<1%
19.
SAMSUNG-SM-G900A
191
<1%
20.
SCH-I535
164
<1%
21.
iPad Mini 3
149
<1%
22.
iPhone 3GS
148
<1%
23.
SGH-M919
89
<1%
24.
SPH-L720
89
<1%
25.
SAMSUNG-SGH-I747
88
<1%
26.
XT1080
85
<1%
27.
Nexus 7
81
<1%
28.
SAMSUNG-SM-G870A
80
<1%
29.
SM-G900P
80
<1%
30.
SM-N900V
71
<1%
31.
SM-G900T
70
<1%
32.
SPH-L710
70
<1%
33.
XT907
69
<1%
34.
iPad
68
<1%
35.
SAMSUNG-SGH-I537
54
<1%
36.
SAMSUNG-SM-N900A
52
<1%
37.
SM-N910V
47
<1%
38.
XT1254
44
<1%
39.
VS980 4G
40
<1%
40.
SAMSUNG-SM-N910A
39
<1%
41.
DROID RAZR HD
36
<1%
42.
HTC One
35
<1%
43.
HTC6500LVW
33
<1%
44.
VS985 4G
33
<1%
45.
SPH-L720T
31
<1%
46.
HTC6525LVW
29
<1%
47.
XT1030
29
<1%
48.
HTC One_M8
28
<1%
49.
KFTT
28
<1%
50.
SCH-I435
28
<1%
51.
SCH-I605
28
<1%
52.
SM-N910T
28
<1%
53.
LG-D851
26
<1%
54.
SGH-T999
26
<1%
55.
SM-N900T
26
<1%
56.
DROID RAZR
24
<1%
57.
SCH-R970
23
<1%
58.
LG-D415
22
<1%
59.
LGLS990
20
<1%
60.
XT1031
20
<1%
61.
XT1058
20
<1%
62.
LG-LS980
19
<1%
63.
SM-G386T
19
<1%
64.
SM-N900P
19
<1%
65.
HTCONE
18
<1%
66.
LG-D800
17
<1%
67.
XT1060
17
<1%
68.
KFSOWI
16
<1%
69.
SAMSUNG-SGH-I317
16
<1%
70.
SGH-T999L
16
<1%
71.
SM-G860P
16
<1%
72.
SAMSUNG-SGH-I257
15
<1%
73.
SPH-L900
15
<1%
74.
KFTHWI
14
<1%
75.
LG-D850
14
<1%
76.
LG-E980
14
<1%
77.
LGLS740
14
<1%
78.
Nexus 5
14
<1%
79.
SD4930UR
14
<1%
80.
SGH-T399
14
<1%
81.
SM-G900R4
14
<1%
82.
SPH-L520
14
<1%
See all 82 device models

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

connections Visits % Of Total
1.
WiFi
860,579
75%
2.
Cellular Data
280,182
24%
3.
No Internet Connection
8,167
1%

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

carriers Visits % Of Total
1.
WiFi
860,579
75%
2.
AT&T
130,085
11%
3.
Verizon Wireless
90,706
8%
4.
Sprintcom Inc
33,454
3%
5.
T-Mobile USA
18,669
2%
6.
Disconnected
8,167
1%
7.
Unspecified US Carrier
1,476
<1%
8.
US Cellular
1,235
<1%
9.
Cellular South Inc
1,009
<1%
10.
T-Mobile Deutschland GmbH
895
<1%
11.
Unrecognized Carrier
893
<1%
12.
Tracfone Wireless
455
<1%
13.
Virgin Mobile
432
<1%
14.
GCI Communications Corp.
319
<1%
15.
nTELOS Communications Inc (Virginia PCS Alliance LC)
105
<1%
16.
Cricket Communications
94
<1%
17.
North East Cellular Inc.
91
<1%
18.
Smith Bagley Inc, dba Cellular One
86
<1%
19.
Metro PCS Wireless Inc
39
<1%
20.
Union Telephone Company
38
<1%
21.
Wireless Communications Venture
18
<1%
22.
China Unicom
12
<1%
23.
Nextel Communications Inc
12
<1%
24.
Not Reported
10
<1%
25.
New Mexico RSA 4 East Ltd. Partnership
8
<1%
26.
Carolina West Wireless
6
<1%
27.
Telstra Corporation Ltd.
5
<1%
28.
Vodafone Ltd.
4
<1%
29.
Celcom (Malaysia) Berhad
4
<1%
30.
NetAmerica Alliance LLC
4
<1%
31.
West Central Wireless
3
<1%
32.
olleh Mobile
3
<1%
33.
Rogers Wireless
3
<1%
34.
Hutchison 3G UK Ltd.
2
<1%
35.
Telemóvil El Salvador, S.A.
1
<1%
36.
United Wireless Inc
1
<1%
37.
Bluegrass Cellular LLC
1
<1%
38.
Commnet Wireless LLC
1
<1%
39.
Northeast Wireless Networks LLC
1
<1%
40.
O2 UK Ltd.
1
<1%
41.
T-Mobile UK
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 / 8.2
25,854
41%
2.
iOS / 8.3
23,140
36%
3.
iOS / 8.1.3
7,886
12%
4.
iOS / 7.1.2
4,804
8%
5.
iOS / 8.1.2
4,365
7%
6.
iOS / 8.1
1,922
3%
7.
iOS / 8.1.1
1,672
3%
8.
iOS / 7.1.1
1,466
2%
9.
Android / KOT49H
1,405
2%
10.
iOS / 8.0.2
1,169
2%
11.
Android / KTU84P
949
1%
12.
iOS / 6.1.6
945
1%
13.
iOS / 7.0.4
872
1%
14.
iOS / 8.0
705
1%
15.
iOS / 7.1
657
1%
16.
iOS / 6.1.3
445
1%
17.
iOS / 7.0.6
338
1%
18.
Android / LRX21T
251
<1%
19.
iOS / 7.0.2
209
<1%
20.
Android / JZO54K
197
<1%
21.
iOS / 7.0.3
197
<1%
22.
iOS / 7.0
178
<1%
23.
Android / LRX22C
116
<1%
24.
Android / SU6-7
112
<1%
25.
iOS / 5.1.1
105
<1%
26.
Android / LRX22G
104
<1%
27.
Android / JDQ39
89
<1%
28.
Android / JSS15J
77
<1%
29.
iOS / 6.1.4
69
<1%
30.
Android / KDA20.62-15.1
64
<1%
31.
iOS / 6.1
45
<1%
32.
iOS / 6.1.2
44
<1%
33.
Android / IML74K
43
<1%
34.
Android / IMM76D
43
<1%
35.
Android / KTU84M
43
<1%
36.
Android / KTU84L
42
<1%
37.
Android / SU2-12
42
<1%
38.
iOS / 6.1.5
41
<1%
39.
Android / LRX21V
40
<1%
40.
Android / KDA20.62-15
38
<1%
41.
Android / KXA21.12-L1.26
37
<1%
42.
Android / LRX21Y
37
<1%
43.
Android / LMY47D
35
<1%
44.
Android / GINGERBREAD
34
<1%
45.
Android / KVT49L.VS98512B
31
<1%
46.
Android / JRO03C
29
<1%
47.
Android / KOT49I.VS98027A
28
<1%
48.
Android / KVT49L.D85110r
24
<1%
49.
Android / 9.8.2O-72_VZW-16-5
23
<1%
50.
Android / KVT49L
21
<1%
51.
Android / KOT49I.D41510e
20
<1%
52.
iOS / 6.0.1
20
<1%
53.
iOS / 8.4
18
<1%
54.
Android / KOT49I.D80020y
17
<1%
55.
Android / KOT49I.LS980ZVE
16
<1%
56.
Android / IMM76I
13
<1%
57.
Android / KOT49I.LS740ZV5
13
<1%
58.
Android / KXB21.14-L2.4
13
<1%
59.
Android / KOT49I.E98020h
11
<1%
60.
Android / KOT49I.D80120g
10
<1%
61.
iOS / 6.0
10
<1%
62.
Android / KOT49I.VS98028A
9
<1%
63.
Android / IML77
8
<1%
64.
Android / IMM76L
8
<1%
65.
Android / JLS36C
8
<1%
66.
Android / 14.4.B.0.56
7
<1%
67.
Android / KXB21.14-L1.41
7
<1%
68.
Android / LRX22F
7
<1%
69.
Android / 23.0.D.1.123
6
<1%
70.
Android / KOT49I.MS32310c
6
<1%
71.
Android / KXB21.14-L1.57
6
<1%
72.
Android / 9.8.0Q-97_MB886_FFW-28
5
<1%
73.
Android / C811M070
5
<1%
74.
Android / KOT49I.L31L10d
5
<1%
75.
Android / KRT16S.L34CV10c
5
<1%
76.
Android / KTU84Q
5
<1%
77.
Android / 10.4.C.0.814
4
<1%
78.
Android / 23.0.E.1.44
4
<1%
79.
Android / 9.8.2O-72_VZW-18-8
4
<1%
80.
Android / 9.8.2O-72_VZW-22
4
<1%
81.
Android / GRJ22
4
<1%
82.
Android / GRJ90
4
<1%
83.
Android / GRK39F
4
<1%
84.
Android / JWR67B
4
<1%
85.
Android / KOT49I.L41CV10a
4
<1%
86.
Android / KOT49I.LS885ZV5
4
<1%
87.
Android / KOT49I.LS995ZVA
4
<1%
88.
Android / KOT49I.MS39510d
4
<1%
89.
Android / KOT49I.VS89022A
4
<1%
90.
Android / KXA21.12-L1.28
4
<1%
91.
Android / KXB21.14-L1.63
4
<1%
92.
iOS / 7.0.1
4
<1%
93.
Android / 5.5.1_84_D3G-66_M2-10
3
<1%
94.
Android / JOP40D
3
<1%
95.
Android / KDF21.196-8
3
<1%
96.
Android / KOT49I.D95020f
3
<1%
97.
Android / KOT49I.D95920s
3
<1%
98.
Android / KOT49I.LS620ZV3
3
<1%
99.
Android / KOT49I.LS660ZV5
3
<1%
100.
Android / KOT49I.MS32310b
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.

Mobile Apps | Versions of Cheezburger Ap…
Cheezburger App   100%
Loquillo App   <1%
2.2.1 (iOS)   41%
2.3.0 (iOS)   38%
1.0.21 (Android)   6%
2.3.1 (iOS)   6%
1.2.15 (iOS)   3%
1.2.14 (iOS)   3%
1.0.19 (Android)   1%
1.0.13 (Android)   1%
1.2.13 (iOS)   1%
1.2.12 (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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