Whitepages Network

Monthly Uniques
N/A US N/A Global

Whitepages Mobile App

1.3M US 1.3M Global


Updated Jul 31, 2015 • Next: Aug 1, 2015 by 9AM PDT
Last Month
For Jul 1, 2015 - Jul 30, 2015
Uniques Visits Installs Upgrades
Whitepages 2.9.4 (iOS) 860,588 3,425,774 87,102 135,630
Whitepages 2.8.1 (Android) 298,719 1,229,281 66,769 19,312
Whitepages 2.9.2 (iOS) 20,392 77,274 241 2,877
Whitepages 2.8.1 (iOS) 17,799 82,936 1,511 257
Whitepages 1.2.177 (Android) 13,676 26,480 10,662 3,029
See all 38 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  82
Female
 
 
117
 
 
 
< 18
 
  58
18-24
 
  43
25-34
 
  62
35-44
 
  94
45-54
 
 
134
55-64
 
 
196
65+
 
226
 
 
 
No Kids
 
 
121
Has Kids
 
  78
 
US Average
Index
 
 
$0-50k
 
  81
$50-100k
 
 
116
$100-150k
 
 
124
$150k+
 
 
122
 
 
 
No College
 
  87
College
 
 
108
Grad School
 
 
118
 
 
 
Caucasian
 
 
114
African American
 
  73
Asian
 
  37
Hispanic
 
  44
Other
 
  91
 
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   155,327
2-3   85,862
4-7   48,853
8-15   29,006
16-31   16,733
32-63   8,548
64-127   3,888
128-255   1,612
256-511   561
512+   184
1   509,018
2-3   256,558
4-7   141,984
8-15   84,494
16-31   46,429
32-63   22,476
64-127   9,200
128-255   3,267
256-511   1,030
512+   231

Top Countries

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

countries Visits % Of Total
1.
United States
5,070,248
99%
2.
Canada
24,464
<1%
3.
Jamaica
10,449
<1%
4.
United Kingdom
4,649
<1%
5.
Australia
2,890
<1%
6.
Mexico
1,265
<1%
7.
Puerto Rico
1,147
<1%
8.
India
928
<1%
9.
China
615
<1%
10.
France
491
<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
229,338
18%
2.
iPhone 5S
182,436
14%
3.
iPhone 6 Plus
106,665
8%
4.
iPhone 5
102,435
8%
5.
iPhone 4S
74,804
6%
6.
iPhone 5C
72,088
6%
7.
iPhone 4
36,756
3%
8.
iPad 2
32,283
3%
9.
iPad Air
21,908
2%
10.
iPad 4th Gen
18,519
1%
11.
SM-G900V
17,839
1%
12.
iPad mini
15,252
1%
13.
iPad 3rd Gen
14,384
1%
14.
SAMSUNG-SM-G900A
13,792
1%
15.
SCH-I545
13,583
1%
16.
iPad Air 2
10,476
1%
17.
SAMSUNG-SGH-I337
9,213
1%
18.
SM-G925T
8,849
1%
19.
XT1080
8,720
1%
20.
SM-G920T
7,996
1%
21.
SM-G900P
7,465
1%
22.
SM-N910V
7,023
1%
23.
SAMSUNG-SM-N910A
6,716
1%
24.
SAMSUNG-SM-N900A
6,409
1%
25.
SM-N900V
6,322
<1%
26.
SCH-I535
6,319
<1%
27.
iPad mini with Retina display
5,860
<1%
28.
SM-G900T
5,601
<1%
29.
SAMSUNG-SM-G870A
5,432
<1%
30.
XT1254
5,387
<1%
31.
SM-N910T
4,601
<1%
32.
iPod touch
4,485
<1%
33.
SM-N900T
4,068
<1%
34.
SAMSUNG-SGH-I747
4,054
<1%
35.
SPH-L710
3,967
<1%
36.
SM-G920V
3,945
<1%
37.
SM-N910P
3,945
<1%
38.
LG-H631
3,672
<1%
39.
LG-H345
3,551
<1%
40.
SPH-L720
3,486
<1%
41.
SGH-M919
3,443
<1%
42.
SM-N900P
3,296
<1%
43.
VS985 4G
2,763
<1%
44.
Z970
2,698
<1%
45.
iPhone 3GS
2,587
<1%
46.
SAMSUNG-SGH-I537
2,381
<1%
47.
SCH-I605
2,355
<1%
48.
5042T
2,336
<1%
49.
SM-G920P
2,298
<1%
50.
SAMSUNG-SM-G920A
2,142
<1%
51.
LG-D850
2,091
<1%
52.
iPad
1,936
<1%
53.
SCH-R970
1,920
<1%
54.
SPH-L720T
1,834
<1%
55.
VS980 4G
1,833
<1%
56.
SCH-S968C
1,768
<1%
57.
HTC One_M8
1,727
<1%
58.
LG-H811
1,695
<1%
59.
SM-G900R4
1,683
<1%
60.
LG-D415
1,599
<1%
61.
XT907
1,570
<1%
62.
SM-G386T
1,528
<1%
63.
SAMSUNG-SGH-I317
1,490
<1%
64.
XT1031
1,419
<1%
65.
SGH-T999
1,414
<1%
66.
SAMSUNG-SGH-I527
1,394
<1%
67.
LGLS740
1,392
<1%
68.
SM-G386T1
1,338
<1%
69.
XT1030
1,313
<1%
70.
LGLS990
1,288
<1%
71.
HTC One
1,276
<1%
72.
HTC Desire 510
1,266
<1%
73.
SAMSUNG-SM-G925A
1,265
<1%
74.
DROID RAZR HD
1,253
<1%
75.
LGMS323
1,239
<1%
76.
HTC6525LVW
1,212
<1%
77.
LGL34C
1,181
<1%
78.
7040N
1,111
<1%
79.
SPH-L900
1,111
<1%
80.
LG-E980
1,110
<1%
81.
SM-G925V
1,110
<1%
82.
HTCONE
1,103
<1%
83.
LG-D851
1,056
<1%
84.
SGH-T889
1,041
<1%
See all 84 device models

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

connections Visits % Of Total
1.
WiFi
2,459,771
49%
2.
Cellular Data
2,424,226
48%
3.
No Internet Connection
186,251
4%

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

carriers Visits % Of Total
1.
WiFi
2,459,771
49%
2.
AT&T
1,136,148
22%
3.
Verizon Wireless
725,557
14%
4.
Sprintcom Inc
234,078
5%
5.
T-Mobile USA
217,362
4%
6.
Disconnected
186,251
4%
7.
Unspecified US Carrier
39,422
1%
8.
US Cellular
21,972
<1%
9.
Unrecognized Carrier
19,647
<1%
10.
Cellular South Inc
19,585
<1%
11.
nTELOS Communications Inc (Virginia PCS Alliance LC)
2,648
<1%
12.
Tracfone Wireless
2,497
<1%
13.
North East Cellular Inc.
699
<1%
14.
Bluegrass Cellular LLC
563
<1%
15.
Virgin Mobile
539
<1%
16.
GCI Communications Corp.
491
<1%
17.
Iowa Wireless Services LLC
343
<1%
18.
Celcom (Malaysia) Berhad
318
<1%
19.
Cricket Communications
257
<1%
20.
Carolina West Wireless
238
<1%
21.
Union Telephone Company
200
<1%
22.
Cellular Properties Inc.
194
<1%
23.
West Central Wireless
181
<1%
24.
MTPCS LLC
165
<1%
25.
Not Reported
110
<1%
26.
New Mexico RSA 4 East Ltd. Partnership
84
<1%
27.
United Wireless Inc
81
<1%
28.
Sl Wireless LLC
64
<1%
29.
Illinois Valley Cellular
60
<1%
30.
Mossel (Jamaica) Ltd.
42
<1%
31.
Pine Telephone Company dba Pine Cellular
42
<1%
32.
Advantage Cellular Systems, Inc.
39
<1%
33.
MTN Nigeria Communications
36
<1%
34.
New Cell Inc. dba Cellcom
36
<1%
35.
Telcel
33
<1%
36.
NetAmerica Alliance LLC
32
<1%
37.
EMTS
31
<1%
38.
Smith Bagley Inc, dba Cellular One
30
<1%
39.
Commnet Wireless LLC
27
<1%
40.
Telus Mobility
19
<1%
41.
Northeast Wireless Networks LLC
19
<1%
42.
T-Mobile Deutschland GmbH
19
<1%
43.
Chariton Valley Communications Corp., Inc.
17
<1%
44.
Rogers Wireless
16
<1%
45.
Bug Tussel Wireless LLC
15
<1%
46.
Econet Wireless Nigeria Ltd.
14
<1%
47.
Indigo Wireless, Inc.
11
<1%
48.
Thumb Cellular LLC
10
<1%
49.
Metro PCS Wireless Inc
10
<1%
50.
Bell Mobility
10
<1%
51.
Wireless Communications Venture
9
<1%
52.
Choice Phone LLC
9
<1%
53.
Inland Cellular Telephone Company
9
<1%
54.
CTC Telecom Inc
8
<1%
55.
UBET Wireless
7
<1%
56.
Consolidated Telcom
7
<1%
57.
Vodafone Libertel N.V.
6
<1%
58.
Cellular Network Partnership dba Pioneer Cellular
6
<1%
59.
Etihad Etisalat Company (Mobily)
6
<1%
60.
Spacefon
6
<1%
61.
Bouygues Telecom
5
<1%
62.
Ghana Telecom Mobile
5
<1%
63.
Globacom
5
<1%
64.
Mobile Telesystems
5
<1%
65.
Orange France
5
<1%
66.
Cablevision Systems Corporation
4
<1%
67.
China Unicom
4
<1%
68.
Alaska Communications
4
<1%
69.
Movistar
4
<1%
70.
Nextel Communications Inc
4
<1%
71.
Omnitel
4
<1%
72.
Orange Dominicana, S.A.
4
<1%
73.
SETEL GSM
4
<1%
74.
Telefónica Móviles Colombia S.A.
3
<1%
75.
Omnitel Pronto Italia (OPI)
3
<1%
76.
Otecel S.A. - Bellsouth
3
<1%
77.
Partner Communications Co. Ltd.
3
<1%
78.
Smart Communications, Inc
3
<1%
79.
T-Mobile UK
3
<1%
80.
Telenor Norge AS
2
<1%
81.
Vodafone
2
<1%
82.
Vodafone Ltd.
2
<1%
83.
Wilkes Cellular Inc.
2
<1%
84.
3 Ireland
2
<1%
85.
CentennialDominicana
2
<1%
86.
CMPak
2
<1%
87.
Cosmote
2
<1%
88.
East Kentucky Network LLC dba Appalachian Wireless
2
<1%
89.
Golan Telecom Ltd
2
<1%
90.
H3G
2
<1%
91.
Hutchison 3G UK Ltd.
2
<1%
92.
Mobitel
2
<1%
93.
Nep Cellcorp Inc.
2
<1%
94.
O2 UK Ltd.
2
<1%
95.
STC Bahrain
2
<1%
96.
Telefónica Móviles España, SAU
1
<1%
97.
Telenor Sverige AB
1
<1%
98.
Bharti Airtel Ltd, UP (East)
1
<1%
99.
Vodafone Czech Republic a.s.
1
<1%
100.
Vodafone D2 GmbH
1
<1%
See top 100 carriers

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

OS versions Uniques % Of Total
1.
iOS / 8.4
484,995
38%
2.
iOS / 8.3
313,484
25%
3.
Android / 4.4.2
80,747
6%
4.
iOS / 7.1.2
69,217
5%
5.
Android / 5.0
57,174
5%
6.
Android / 5.0.1
51,924
4%
7.
Android / 4.4.4
44,582
4%
8.
iOS / 8.2
30,227
2%
9.
iOS / 8.1.3
28,961
2%
10.
Android / 5.0.2
27,464
2%
11.
iOS / 8.1.2
24,240
2%
12.
iOS / 7.1.1
17,534
1%
13.
Android / LRX22G
15,541
1%
14.
Android / 4.1.2
14,287
1%
15.
iOS / 8.1
12,038
1%
16.
iOS / 8.1.1
9,775
1%
17.
iOS / 7.0.4
9,307
1%
18.
Android / 4.3
8,977
1%
19.
iOS / 7.1
8,391
1%
20.
Android / 5.1.1
8,235
1%
21.
iOS / 6.1.3
7,711
1%
22.
iOS / 8.0.2
7,573
1%
23.
Android / 5.1
7,253
1%
24.
Android / LMY47X
7,002
1%
25.
iOS / 7.0.6
4,558
<1%
26.
Android / 4.2.2
4,144
<1%
27.
iOS / 8.0
3,779
<1%
28.
iOS / 6.1.6
3,467
<1%
29.
Android / 4.0.4
3,256
<1%
30.
iOS / 5.1.1
3,021
<1%
31.
iOS / 7.0.3
2,334
<1%
32.
Android / KTU84P
2,317
<1%
33.
iOS / 7.0.2
2,178
<1%
34.
iOS / 7.0
1,969
<1%
35.
iOS / 9.0
1,942
<1%
36.
iOS / 6.1.4
1,609
<1%
37.
Android / LMY47D
1,403
<1%
38.
Android / 2.3.6
1,366
<1%
39.
Android / 4.4
1,287
<1%
40.
Android / 4.1.1
1,278
<1%
41.
Android / LMY47V
1,190
<1%
42.
iOS / 6.0.1
1,108
<1%
43.
Android / 4.4.3
788
<1%
44.
iOS / 6.1.2
684
<1%
45.
Android / 23.1.C.0.385
628
<1%
46.
iOS / 6.0
526
<1%
47.
Android / 2.3.5
520
<1%
48.
iOS / 6.1
478
<1%
49.
Android / 4.0.3
417
<1%
50.
Android / KOT49H
396
<1%
51.
Android / 2.3.4
332
<1%
52.
Android / 4.2.1
304
<1%
53.
Android / LMY47O
275
<1%
54.
Android / JZO54K
242
<1%
55.
iOS / 5.0.1
184
<1%
56.
iOS / 5.1
160
<1%
57.
Android / M
142
<1%
58.
iOS / 6.0.2
132
<1%
59.
Android / FROYO
129
<1%
60.
Android / IMM76D
126
<1%
61.
Android / LRX22C
126
<1%
62.
Android / 2.3.7
103
<1%
63.
Android / 2.3.3
99
<1%
64.
Android / JSS15J
90
<1%
65.
Android / GINGERBREAD
89
<1%
66.
Android / 23.0.D.1.123
86
<1%
67.
iOS / 7.0.1
83
<1%
68.
Android / JDQ39
66
<1%
69.
Android / SU6-7.2
63
<1%
70.
Android / 9.8.2O-72_VZW-16-5
57
<1%
71.
Android / FRG83G
53
<1%
72.
Android / IMM76I
47
<1%
73.
Android / LRX21V
44
<1%
74.
iOS / 6.1.1
43
<1%
75.
Android / KDA20.62-15
40
<1%
76.
Android / KDA20.62-15.1
36
<1%
77.
iOS / 5.0
34
<1%
78.
Android / LRX21T
28
<1%
79.
iOS / 6.1.5
28
<1%
80.
Android / 4.3.1
25
<1%
81.
Android / IML74K
22
<1%
82.
Android / GRK39F
20
<1%
83.
Android / FRG83
19
<1%
84.
Android / IMM76L
18
<1%
85.
Android / 3.2.1
16
<1%
86.
Android / IML77
16
<1%
87.
Android / GRJ22
14
<1%
88.
Android / JRO03C
14
<1%
89.
Android / 3.2
13
<1%
90.
Android / HuaweiU8800-51
13
<1%
91.
Android / KXB21.14-L1.57
11
<1%
92.
Android / FRK76
10
<1%
93.
Android / GRI40
10
<1%
94.
Android / GRJ90
9
<1%
95.
Android / KOT49I.E98020h
9
<1%
96.
Android / HuaweiU8665B037
8
<1%
97.
Android / 3.4.2-125_KOB_CCI-6
7
<1%
98.
Android / HuaweiH881C
7
<1%
99.
Android / C771M150
6
<1%
100.
Android / 4.5.1_57_DX9-10
5
<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 Whitepages by version in the past 30 days.

Mobile Apps | Versions of Whitepages
Whitepages   46%
Mr. Number - Block calls, texts.   36%
Metro   19%
Cricket   <1%
2.9.4 (iOS)   68%
2.8.1 (Android)   24%
2.8.1 (iOS)   2%
2.9.2 (iOS)   2%
1.1 (iOS)   1%
2.8 (Android)   1%
2.7.3 (iOS)   1%
1.2.177 (Android)   1%
2.9.1 (iOS)   <1%
2.8 (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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Create a Network

If you have multiple Websites or Mobile Apps, you can create a network to aggregate all of your data under a single property. This name will be publicly viewable.