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Whitepages Network

Monthly Uniques
N/A US N/A Global

Whitepages Mobile App

1.3M US 1.3M Global
  •  
  • Quantified

    Directly Measured Data

Related Links


Updated May 22, 2015 • Next: May 23, 2015 by 9AM PDT
Last Month
For Apr 22, 2015 - May 21, 2015
Uniques Visits Installs Upgrades
Whitepages 2.9.4 (iOS) 839,761 3,344,678 82,339 212,439
Whitepages 2.8.1 (Android) 294,343 1,243,244 69,069 46,003
Whitepages 2.9.2 (iOS) 36,387 139,187 438 5,295
Whitepages 2.8.1 (iOS) 23,623 112,309 1,876 384
Whitepages 2.8 (Android) 18,389 79,599 68 532
See all 38 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  87
Female
 
 
113
 
 
 
< 18
 
  66
18-24
 
  52
25-34
 
  67
35-44
 
  90
45-54
 
 
128
55-64
 
 
187
65+
 
210
 
 
 
No Kids
 
 
119
Has Kids
 
  81
 
US Average
Index
 
 
$0-50k
 
  84
$50-100k
 
 
112
$100-150k
 
 
123
$150k+
 
 
122
 
 
 
No College
 
  88
College
 
 
108
Grad School
 
 
116
 
 
 
Caucasian
 
 
114
African American
 
  64
Asian
 
  42
Hispanic
 
  49
Other
 
  89
 
US Average


Updated May 17, 2015 • Next: May 27, 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 17, 2015 • Next: May 27, 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   147,409
2-3   84,721
4-7   49,603
8-15   30,494
16-31   17,782
32-63   9,199
64-127   4,239
128-255   1,707
256-511   605
512+   204
1   494,297
2-3   256,201
4-7   144,516
8-15   86,067
16-31   47,772
32-63   22,866
64-127   9,498
128-255   3,298
256-511   997
512+   225

Top Countries

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

countries Visits % Of Total
1.
United States
5,165,188
99%
2.
Canada
23,067
<1%
3.
Jamaica
13,753
<1%
4.
Australia
4,015
<1%
5.
United Kingdom
2,615
<1%
6.
Mexico
1,437
<1%
7.
India
883
<1%
8.
Puerto Rico
849
<1%
9.
Brazil
772
<1%
10.
Republic of Korea
743
<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
196,795
16%
2.
iPhone 5S
190,253
15%
3.
iPhone 5
120,218
9%
4.
iPhone 6 Plus
91,223
7%
5.
iPhone 4S
90,473
7%
6.
iPhone 5C
75,364
6%
7.
iPhone 4
45,059
4%
8.
iPad 2
34,554
3%
9.
iPad Air
21,851
2%
10.
iPad 4th Gen
19,484
2%
11.
SM-G900V
18,436
1%
12.
iPad mini
16,107
1%
13.
SCH-I545
16,062
1%
14.
iPad 3rd Gen
15,452
1%
15.
SAMSUNG-SM-G900A
13,611
1%
16.
SAMSUNG-SGH-I337
11,023
1%
17.
iPad Air 2
8,823
1%
18.
XT1080
8,774
1%
19.
SCH-I535
8,136
1%
20.
SM-G900P
7,702
1%
21.
SAMSUNG-SM-N900A
7,165
1%
22.
SM-N900V
7,105
1%
23.
SM-G920T
6,927
1%
24.
SM-G925T
6,841
1%
25.
SAMSUNG-SM-N910A
6,133
<1%
26.
SM-N910V
6,126
<1%
27.
SM-G900T
5,898
<1%
28.
iPad mini with Retina display
5,797
<1%
29.
SAMSUNG-SM-G870A
5,533
<1%
30.
SAMSUNG-SGH-I747
5,032
<1%
31.
SPH-L710
4,976
<1%
32.
iPod touch
4,785
<1%
33.
SPH-L720
4,370
<1%
34.
SM-N900T
4,296
<1%
35.
SM-N910T
4,180
<1%
36.
SGH-M919
3,909
<1%
37.
XT1254
3,872
<1%
38.
SM-N900P
3,653
<1%
39.
iPhone 3GS
3,353
<1%
40.
SM-N910P
3,287
<1%
41.
SAMSUNG-SGH-I537
2,854
<1%
42.
VS985 4G
2,836
<1%
43.
SCH-I605
2,783
<1%
44.
SCH-R970
2,260
<1%
45.
Z970
2,227
<1%
46.
iPad
2,206
<1%
47.
XT907
2,172
<1%
48.
VS980 4G
2,155
<1%
49.
SPH-L720T
2,130
<1%
50.
LG-D850
2,019
<1%
51.
HTC One_M8
1,877
<1%
52.
LG-D415
1,872
<1%
53.
SAMSUNG-SGH-I317
1,837
<1%
54.
DROID RAZR HD
1,813
<1%
55.
SCH-S968C
1,810
<1%
56.
SM-G920V
1,775
<1%
57.
LGMS323
1,717
<1%
58.
SM-G900R4
1,676
<1%
59.
XT1031
1,651
<1%
60.
SGH-T999
1,633
<1%
61.
SAMSUNG-SGH-I527
1,610
<1%
62.
HTC One
1,532
<1%
63.
LGL34C
1,495
<1%
64.
SM-G386T
1,477
<1%
65.
XT1030
1,449
<1%
66.
SM-G386T1
1,400
<1%
67.
DROID RAZR
1,390
<1%
68.
LG-E980
1,380
<1%
69.
HTCONE
1,377
<1%
70.
SPH-L900
1,336
<1%
71.
HTC6525LVW
1,315
<1%
72.
LGLS740
1,258
<1%
73.
7040N
1,238
<1%
74.
HTC Desire 510
1,223
<1%
75.
LGLS990
1,221
<1%
76.
LG-LS980
1,198
<1%
77.
SGH-T889
1,186
<1%
78.
LG-D851
1,124
<1%
79.
LG-D800
1,087
<1%
80.
Nexus 5
1,067
<1%
81.
SM-G920P
1,065
<1%
82.
SGH-T999L
1,051
<1%
83.
XT1028
1,034
<1%
84.
831C
1,024
<1%
See all 84 device models

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

connections Visits % Of Total
1.
Cellular Data
2,479,997
48%
2.
WiFi
2,451,036
47%
3.
No Internet Connection
234,155
5%

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

carriers Visits % Of Total
1.
WiFi
2,451,036
47%
2.
AT&T
1,173,338
23%
3.
Verizon Wireless
736,842
14%
4.
Sprintcom Inc
244,987
5%
5.
Disconnected
234,155
5%
6.
T-Mobile USA
198,267
4%
7.
Unspecified US Carrier
47,950
1%
8.
US Cellular
23,024
<1%
9.
Unrecognized Carrier
22,732
<1%
10.
Cellular South Inc
19,376
<1%
11.
nTELOS Communications Inc (Virginia PCS Alliance LC)
2,965
<1%
12.
Tracfone Wireless
2,751
<1%
13.
Metro PCS Wireless Inc
1,559
<1%
14.
North East Cellular Inc.
793
<1%
15.
Cricket Communications
752
<1%
16.
Virgin Mobile
668
<1%
17.
Bluegrass Cellular LLC
663
<1%
18.
GCI Communications Corp.
479
<1%
19.
Celcom (Malaysia) Berhad
431
<1%
20.
Iowa Wireless Services LLC
271
<1%
21.
Union Telephone Company
212
<1%
22.
Carolina West Wireless
186
<1%
23.
MTPCS LLC
184
<1%
24.
Cellular Properties Inc.
170
<1%
25.
West Central Wireless
167
<1%
26.
Not Reported
107
<1%
27.
New Mexico RSA 4 East Ltd. Partnership
100
<1%
28.
NetAmerica Alliance LLC
95
<1%
29.
United Wireless Inc
69
<1%
30.
Smith Bagley Inc, dba Cellular One
68
<1%
31.
Mossel (Jamaica) Ltd.
60
<1%
32.
New Cell Inc. dba Cellcom
47
<1%
33.
Nextel Communications Inc
43
<1%
34.
Sl Wireless LLC
42
<1%
35.
MTN Nigeria Communications
40
<1%
36.
Chariton Valley Communications Corp., Inc.
37
<1%
37.
Advantage Cellular Systems, Inc.
36
<1%
38.
Globacom
34
<1%
39.
Choice Phone LLC
30
<1%
40.
Commnet Wireless LLC
28
<1%
41.
Pine Telephone Company dba Pine Cellular
24
<1%
42.
Spacefon
24
<1%
43.
Movistar
22
<1%
44.
T-Mobile Deutschland GmbH
16
<1%
45.
Illinois Valley Cellular
15
<1%
46.
Telcel
15
<1%
47.
Cablevision Systems Corporation
13
<1%
48.
Orange Dominicana, S.A.
13
<1%
49.
Thumb Cellular LLC
12
<1%
50.
Wireless Communications Venture
12
<1%
51.
Consolidated Telcom
12
<1%
52.
Bug Tussel Wireless LLC
11
<1%
53.
Bell Mobility
11
<1%
54.
Vodafone Libertel N.V.
10
<1%
55.
Telus Mobility
9
<1%
56.
China Unicom
9
<1%
57.
East Kentucky Network LLC dba Appalachian Wireless
9
<1%
58.
LongLines Wireless
9
<1%
59.
Mobitel
8
<1%
60.
Vodafone
7
<1%
61.
Rogers Wireless
7
<1%
62.
Inland Cellular Telephone Company
6
<1%
63.
Turkcell
5
<1%
64.
EMTS
5
<1%
65.
UBET Wireless
4
<1%
66.
3 Ireland
4
<1%
67.
Etisalat
4
<1%
68.
Ghana Telecom Mobile
4
<1%
69.
Northeast Wireless Networks LLC
4
<1%
70.
Saudi Telecom
4
<1%
71.
Smart Communications, Inc
4
<1%
72.
Cellular Network Partnership dba Pioneer Cellular
3
<1%
73.
Indigo Wireless, Inc.
3
<1%
74.
Instituto Costarricense de Electricidad - ICE
3
<1%
75.
James Valley Wireless LLC
3
<1%
76.
Omnitel Pronto Italia (OPI)
3
<1%
77.
Telecom Italia Mobile (TIM)
2
<1%
78.
Telefónica Móviles España, SAU
2
<1%
79.
Tess
2
<1%
80.
Vodafone D2 GmbH
2
<1%
81.
Vodafone Ireland Plc
2
<1%
82.
Vodafone Ltd.
2
<1%
83.
Fido Solutions
2
<1%
84.
Du
2
<1%
85.
Bouygues Telecom
2
<1%
86.
Cosmote
2
<1%
87.
CTC Telecom Inc
2
<1%
88.
Econet Wireless Nigeria Ltd.
2
<1%
89.
Etihad Etisalat Company (Mobily)
2
<1%
90.
Meteor Mobile Communications Ltd.
2
<1%
91.
Nep Cellcorp Inc.
2
<1%
92.
NTT DoCoMo Hokuriku Inc.
2
<1%
93.
O2 UK Ltd.
2
<1%
94.
Orange France
2
<1%
95.
Partner Communications Co. Ltd.
2
<1%
96.
Servicios de Comunicaciones Personales Inalámbricas, S.A.
2
<1%
97.
SETEL GSM
2
<1%
98.
Telecommunication Company of Iran (TCI)
1
<1%
99.
Telenor Norge AS
1
<1%
100.
Telkomsel
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 / 8.3
560,675
44%
2.
Android / 4.4.2
113,633
9%
3.
iOS / 7.1.2
89,031
7%
4.
iOS / 8.2
81,160
6%
5.
Android / 4.4.4
59,664
5%
6.
iOS / 8.1.3
58,987
5%
7.
Android / 5.0
51,919
4%
8.
iOS / 8.1.2
39,075
3%
9.
Android / 5.0.1
37,001
3%
10.
iOS / 7.1.1
22,931
2%
11.
Android / 4.1.2
18,504
1%
12.
iOS / 8.1
17,660
1%
13.
Android / 5.0.2
16,689
1%
14.
iOS / 8.1.1
14,984
1%
15.
Android / LRX22G
13,349
1%
16.
iOS / 7.0.4
12,368
1%
17.
iOS / 8.0.2
11,479
1%
18.
iOS / 7.1
10,822
1%
19.
iOS / 6.1.3
10,205
1%
20.
Android / 4.3
9,986
1%
21.
iOS / 7.0.6
6,007
<1%
22.
iOS / 8.0
5,456
<1%
23.
Android / 4.2.2
5,310
<1%
24.
Android / 4.0.4
4,861
<1%
25.
iOS / 6.1.6
4,309
<1%
26.
iOS / 5.1.1
3,617
<1%
27.
iOS / 7.0.3
3,112
<1%
28.
iOS / 7.0.2
2,948
<1%
29.
iOS / 7.0
2,671
<1%
30.
Android / 5.1
2,372
<1%
31.
iOS / 6.1.4
2,256
<1%
32.
Android / 2.3.6
1,905
<1%
33.
Android / 4.1.1
1,671
<1%
34.
Android / 4.4
1,624
<1%
35.
Android / 4.4.3
1,557
<1%
36.
iOS / 6.0.1
1,476
<1%
37.
iOS / 6.1.2
906
<1%
38.
Android / 23.0.D.1.123
785
<1%
39.
iOS / 6.0
714
<1%
40.
Android / KOT49H
671
<1%
41.
Android / 2.3.5
645
<1%
42.
iOS / 6.1
629
<1%
43.
Android / 4.0.3
566
<1%
44.
Android / 5.1.1
555
<1%
45.
Android / 2.3.4
506
<1%
46.
Android / KTU84P
441
<1%
47.
Android / 4.2.1
365
<1%
48.
Android / JZO54K
356
<1%
49.
iOS / 5.0.1
252
<1%
50.
iOS / 8.4
246
<1%
51.
iOS / 5.1
223
<1%
52.
Android / IMM76D
204
<1%
53.
iOS / 6.0.2
184
<1%
54.
Android / FROYO
175
<1%
55.
Android / 2.3.7
170
<1%
56.
Android / 2.3.3
147
<1%
57.
Android / JSS15J
134
<1%
58.
iOS / 7.0.1
116
<1%
59.
Android / GINGERBREAD
115
<1%
60.
Android / JDQ39
86
<1%
61.
Android / IMM76I
77
<1%
62.
Android / LRX22C
73
<1%
63.
Android / 9.8.2O-72_VZW-16-5
72
<1%
64.
iOS / 6.1.1
72
<1%
65.
Android / LMY47V
71
<1%
66.
iOS / 5.0
71
<1%
67.
Android / SU6-7
68
<1%
68.
Android / FRG83G
62
<1%
69.
Android / KDA20.62-15
61
<1%
70.
Android / MNC
61
<1%
71.
Android / LRX21V
58
<1%
72.
Android / KDA20.62-15.1
50
<1%
73.
Android / IML74K
43
<1%
74.
Android / 3.2.1
36
<1%
75.
Android / IML77
36
<1%
76.
Android / LMY47D
31
<1%
77.
Android / GRJ22
30
<1%
78.
Android / JRO03C
30
<1%
79.
Android / GRK39F
29
<1%
80.
Android / LRX21T
29
<1%
81.
Android / LMY47O
28
<1%
82.
iOS / 6.1.5
27
<1%
83.
Android / IMM76L
26
<1%
84.
Android / FRG83
24
<1%
85.
Android / 4.3.1
20
<1%
86.
Android / M
19
<1%
87.
Android / KXB21.14-L1.57
15
<1%
88.
Android / LMY47I
14
<1%
89.
Android / 3.2
13
<1%
90.
Android / GRJ90
13
<1%
91.
Android / HuaweiU8800-51
13
<1%
92.
Android / 3.4.2-125_KOB_CCI-6
12
<1%
93.
Android / HuaweiH881C
12
<1%
94.
Android / HuaweiU8665B037
12
<1%
95.
Android / 3.1
10
<1%
96.
Android / 4.5.1_57_DX9-10
10
<1%
97.
Android / C771M150
10
<1%
98.
Android / GRI40
10
<1%
99.
Android / KTU84L
9
<1%
100.
Android / HuaweiU8730
8
<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   45%
Mr. Number - Block calls, texts.   38%
Metro   17%
Cricket   <1%
2.9.4 (iOS)   65%
2.8.1 (Android)   24%
2.9.2 (iOS)   3%
2.8.1 (iOS)   2%
2.8 (Android)   2%
2.7.3 (iOS)   1%
1.1 (iOS)   1%
2.9.1 (iOS)   1%
2.8 (iOS)   1%
2.9.3 (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.