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Cheezburger Network

Monthly Uniques
7.1M US 14.3M Global

Cheezburger App Mobile App

57.4K US 88.4K Global
  •  
  • Quantified

    Directly Measured Data

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Updated May 28, 2015 • Next: May 29, 2015 by 9AM PDT
Last Month
For Apr 28, 2015 - May 27, 2015
Uniques Visits Installs Upgrades
Cheezburger App 2.3.1 (iOS) 48,581 883,961 5,851 20,452
Cheezburger App 2.3.0 (iOS) 2,734 27,013 33 566
Cheezburger App 1.0.21 (Android) 2,302 50,636 0 1
Cheezburger App 2.2.1 (iOS) 2,010 24,699 17 366
Cheezburger App 1.2.15 (iOS) 1,506 26,938 36 116
See all 39 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
 
141
Female
 
  61
 
 
 
< 18
 
 
120
18-24
 
208
25-34
 
 
138
35-44
 
  76
45-54
 
  51
55-64
 
  37
65+
 
  20
 
 
 
No Kids
 
 
116
Has Kids
 
  84
 
US Average
Index
 
 
$0-50k
 
 
118
$50-100k
 
  88
$100-150k
 
  76
$150k+
 
  67
 
 
 
No College
 
  99
College
 
 
107
Grad School
 
  84
 
 
 
Caucasian
 
 
103
African American
 
  54
Asian
 
 
126
Hispanic
 
 
106
Other
 
 
103
 
US Average


Updated May 24, 2015 • Next: Jun 3, 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 May 24, 2015 • Next: Jun 3, 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   10,415
2-3   3,716
4-7   2,208
8-15   2,250
16-31   2,164
32-63   1,747
64-127   972
128-255   745
256-511   582
512+   460
1   13,729
2-3   8,506
4-7   5,221
8-15   4,239
16-31   3,931
32-63   3,583
64-127   3,352
128-255   3,137
256-511   2,542
512+   2,649

Top Countries

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

countries Visits % Of Total
1.
United States
1,069,844
68%
2.
United Kingdom
145,965
9%
3.
Canada
127,662
8%
4.
Australia
76,504
5%
5.
Germany
19,096
1%
6.
Netherlands
14,672
1%
7.
Sweden
13,300
1%
8.
Mexico
8,080
1%
9.
New Zealand
7,962
1%
10.
France
6,813
<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
11,014
19%
2.
iPhone 6
10,579
18%
3.
iPhone 5
5,861
10%
4.
iPhone 5C
4,525
8%
5.
iPhone 4S
4,146
7%
6.
iPhone 6 Plus
4,013
7%
7.
iPod touch
2,415
4%
8.
iPad 2
2,183
4%
9.
iPhone 4
1,880
3%
10.
iPad mini
1,845
3%
11.
iPad Air
1,710
3%
12.
iPad 4th Gen
1,517
3%
13.
iPad 3rd Gen
1,105
2%
14.
iPad mini with Retina display
837
1%
15.
iPad Air 2
779
1%
16.
SCH-I545
265
<1%
17.
SM-G900V
201
<1%
18.
SAMSUNG-SGH-I337
149
<1%
19.
iPad Mini 3
147
<1%
20.
SAMSUNG-SM-G900A
144
<1%
21.
iPhone 3GS
122
<1%
22.
SCH-I535
99
<1%
23.
XT1080
77
<1%
24.
SAMSUNG-SGH-I747
68
<1%
25.
SM-G900P
66
<1%
26.
iPad
66
<1%
27.
SGH-M919
63
<1%
28.
SAMSUNG-SM-G870A
60
<1%
29.
SM-G900T
57
<1%
30.
SPH-L710
56
<1%
31.
XT907
54
<1%
32.
SPH-L720
52
<1%
33.
SM-N900V
46
<1%
34.
SAMSUNG-SGH-I537
41
<1%
35.
XT1254
35
<1%
36.
SAMSUNG-SM-N910A
33
<1%
37.
SAMSUNG-SM-N900A
30
<1%
38.
SM-N910V
29
<1%
39.
Nexus 7
27
<1%
40.
SCH-I435
27
<1%
41.
HTC One_M8
25
<1%
42.
SPH-L720T
25
<1%
43.
XT1030
25
<1%
44.
DROID RAZR HD
24
<1%
45.
KFTT
24
<1%
46.
SCH-I605
24
<1%
47.
SGH-T999
24
<1%
48.
VS980 4G
24
<1%
49.
HTC6500LVW
22
<1%
50.
VS985 4G
21
<1%
51.
LG-LS980
20
<1%
52.
SCH-R970
20
<1%
53.
HTC One
19
<1%
54.
SM-N900T
18
<1%
55.
DROID RAZR
17
<1%
56.
LG-D415
17
<1%
57.
SM-N910T
17
<1%
58.
XT1060
17
<1%
59.
iOS Simulator
17
<1%
60.
KFTHWI
16
<1%
61.
XT1058
16
<1%
62.
SM-G386T
15
<1%
63.
HTCONE
14
<1%
64.
LG-D801
14
<1%
65.
GT-P3113
13
<1%
66.
SAMSUNG-SGH-I257
13
<1%
67.
LG-E980
12
<1%
68.
SGH-T989
12
<1%
69.
SM-N900P
12
<1%
70.
SM-N910P
12
<1%
71.
KFSOWI
11
<1%
72.
Kindle Fire
11
<1%
73.
LG-D850
11
<1%
74.
Nexus 5
11
<1%
75.
HTC One X
10
<1%
76.
LG-D800
10
<1%
77.
SCH-S968C
10
<1%
78.
SD4930UR
10
<1%
79.
SM-G860P
10
<1%
80.
XT1031
10
<1%
See all 80 device models

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

connections Visits % Of Total
1.
WiFi
796,731
74%
2.
Cellular Data
265,066
25%
3.
No Internet Connection
8,047
1%

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

carriers Visits % Of Total
1.
WiFi
796,731
74%
2.
AT&T
126,079
12%
3.
Verizon Wireless
85,530
8%
4.
Sprintcom Inc
30,880
3%
5.
T-Mobile USA
16,148
2%
6.
Disconnected
8,047
1%
7.
US Cellular
1,107
<1%
8.
Cellular South Inc
1,074
<1%
9.
Unspecified US Carrier
1,053
<1%
10.
T-Mobile Deutschland GmbH
958
<1%
11.
Unrecognized Carrier
714
<1%
12.
GCI Communications Corp.
362
<1%
13.
Tracfone Wireless
337
<1%
14.
Virgin Mobile
324
<1%
15.
nTELOS Communications Inc (Virginia PCS Alliance LC)
180
<1%
16.
North East Cellular Inc.
78
<1%
17.
Cricket Communications
68
<1%
18.
Smith Bagley Inc, dba Cellular One
68
<1%
19.
Union Telephone Company
36
<1%
20.
New Mexico RSA 4 East Ltd. Partnership
10
<1%
21.
Wireless Communications Venture
7
<1%
22.
Not Reported
6
<1%
23.
Wataniya Telecom
5
<1%
24.
Hutchison 3G UK Ltd.
5
<1%
25.
Iowa Wireless Services LLC
5
<1%
26.
Bell Mobility
5
<1%
27.
Vodafone Ltd.
4
<1%
28.
China Unicom
3
<1%
29.
MTPCS LLC
3
<1%
30.
Rogers Wireless
3
<1%
31.
Swisscom Mobile AG
3
<1%
32.
Advantage Cellular Systems, Inc.
2
<1%
33.
Etisalat
2
<1%
34.
Metro PCS Wireless Inc
2
<1%
35.
United Wireless Inc
1
<1%
36.
Du
1
<1%
37.
Cablevision Systems Corporation
1
<1%
38.
China Mobile
1
<1%
39.
Telcel
1
<1%
See all 39 carriers

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

OS versions Uniques % Of Total
1.
iOS / 8.3
33,830
59%
2.
iOS / 8.2
4,488
8%
3.
iOS / 7.1.2
3,927
7%
4.
iOS / 8.1.3
3,586
6%
5.
iOS / 8.1.2
2,721
5%
6.
iOS / 8.1
1,305
2%
7.
iOS / 7.1.1
1,161
2%
8.
iOS / 8.1.1
1,081
2%
9.
Android / KOT49H
937
2%
10.
iOS / 6.1.6
857
1%
11.
iOS / 8.0.2
759
1%
12.
iOS / 7.0.4
704
1%
13.
iOS / 7.1
557
1%
14.
iOS / 8.0
445
1%
15.
Android / KTU84P
409
1%
16.
iOS / 6.1.3
349
1%
17.
Android / LRX21T
312
1%
18.
iOS / 7.0.6
309
1%
19.
Android / LRX22C
253
<1%
20.
iOS / 7.0.2
203
<1%
21.
iOS / 7.0.3
160
<1%
22.
Android / JZO54K
138
<1%
23.
iOS / 7.0
138
<1%
24.
Android / SU6-7
100
<1%
25.
Android / LRX22G
97
<1%
26.
iOS / 5.1.1
92
<1%
27.
Android / LRX21V
70
<1%
28.
Android / JDQ39
66
<1%
29.
iOS / 6.1.4
63
<1%
30.
Android / JSS15J
59
<1%
31.
iOS / 8.4
56
<1%
32.
Android / KDA20.62-15.1
50
<1%
33.
iOS / 6.1.2
43
<1%
34.
Android / KTU84M
40
<1%
35.
Android / LRX21Y
40
<1%
36.
Android / IML74K
35
<1%
37.
Android / IMM76D
35
<1%
38.
Android / SU2-12
35
<1%
39.
iOS / 6.1.5
33
<1%
40.
Android / KXA21.12-L1.26
32
<1%
41.
iOS / 6.1
29
<1%
42.
Android / GINGERBREAD
28
<1%
43.
Android / KTU84L
25
<1%
44.
Android / KDA20.62-15
24
<1%
45.
Android / JRO03C
23
<1%
46.
Android / KOT49I.LS980ZVE
19
<1%
47.
Android / 9.8.2O-72_VZW-16-5
17
<1%
48.
Android / LMY47D
16
<1%
49.
Android / KVT49L
15
<1%
50.
Android / KOT49I.D41510e
14
<1%
51.
iOS / 6.0.1
14
<1%
52.
Android / JLS36C
11
<1%
53.
Android / KOT49I.E98020h
10
<1%
54.
Android / LMY47V
10
<1%
55.
Android / IMM76I
8
<1%
56.
Android / IMM76L
8
<1%
57.
Android / LMY47O
8
<1%
58.
Android / KOT49I.D80120g
7
<1%
59.
iOS / 6.0
7
<1%
60.
iOS / 9.0
7
<1%
61.
Android / 23.0.E.1.44
6
<1%
62.
Android / GRJ90
6
<1%
63.
Android / KOT49I.LS995ZVA
6
<1%
64.
Android / KXB21.14-L2.4
6
<1%
65.
Android / IML77
5
<1%
66.
Android / KOT49I.LS740ZV5
5
<1%
67.
Android / KRT16S.L34CV10c
5
<1%
68.
Android / KXB21.14-L1.41
5
<1%
69.
Android / 10.4.C.0.814
4
<1%
70.
Android / 9.8.0Q-97_MB886_FFW-28
4
<1%
71.
Android / 9.8.2O-72_VZW-18-8
4
<1%
72.
Android / KOT49I.D80020y
4
<1%
73.
Android / KOT49I.D95920s
4
<1%
74.
Android / KOT49I.LS660ZV5
4
<1%
75.
Android / KOT49I.VS88012A
4
<1%
76.
Android / KOT49I.VS89022A
4
<1%
77.
Android / KXA20.16-1.27
4
<1%
78.
Android / KXA21.12-L2.7
4
<1%
79.
Android / KXB21.14-L1.45
4
<1%
80.
Android / KXB21.14-L1.57
4
<1%
81.
Android / 14.4.B.0.56
3
<1%
82.
Android / 23.0.D.1.123
3
<1%
83.
Android / 9.1.F.1.120
3
<1%
84.
Android / 9.8.1Q-94-1
3
<1%
85.
Android / 9.8.2O-72_VZW-22
3
<1%
86.
Android / C811M070
3
<1%
87.
Android / JWR66Y
3
<1%
88.
Android / KOT49I.D41510c
3
<1%
89.
Android / KOT49I.D95020f
3
<1%
90.
Android / KOT49I.MS32310c
3
<1%
91.
Android / KOT49I.VS98028A
3
<1%
92.
Android / KTU84Q
3
<1%
93.
iOS / 5.0.1
3
<1%
94.
Android / 5.5.1_84_D3G-66_M2-10
2
<1%
95.
Android / 9.8.2Q-122_XT897_FFW-8
2
<1%
96.
Android / JWR67B
2
<1%
97.
Android / KOT49I.D32110c
2
<1%
98.
Android / KOT49I.D72510d
2
<1%
99.
Android / KOT49I.D80120e
2
<1%
100.
Android / KOT49I.L41CV10a
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%
2.3.1 (iOS)   83%
1.0.21 (Android)   5%
2.3.0 (iOS)   3%
1.2.15 (iOS)   3%
2.2.1 (iOS)   2%
1.2.14 (iOS)   2%
1.0.19 (Android)   1%
1.2.13 (iOS)   <1%
1.0.13 (Android)   <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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