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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 Apr 26, 2015 • Next: Apr 27, 2015 by 9AM PDT
Last Month
For Mar 27, 2015 - Apr 25, 2015
Uniques Visits Installs Upgrades
Whitepages 2.9.4 (iOS) 819,714 3,155,765 166,153 276,919
Whitepages 2.8.1 (Android) 293,524 1,179,719 76,434 81,128
Whitepages 2.9.2 (iOS) 51,093 187,244 7,579 4,120
Whitepages 2.8 (Android) 29,588 125,102 556 735
Whitepages 2.8.1 (iOS) 26,414 123,304 3,735 496
See all 33 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  79
Female
 
 
120
 
 
 
< 18
 
  70
18-24
 
  54
25-34
 
  65
35-44
 
 
101
45-54
 
 
122
55-64
 
 
177
65+
 
 
198
 
 
 
No Kids
 
 
117
Has Kids
 
  82
 
US Average
Index
 
 
$0-50k
 
  81
$50-100k
 
 
117
$100-150k
 
 
125
$150k+
 
 
121
 
 
 
No College
 
  89
College
 
 
107
Grad School
 
 
112
 
 
 
Caucasian
 
 
114
African American
 
  71
Asian
 
  33
Hispanic
 
  49
Other
 
  88
 
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   145,517
2-3   84,478
4-7   49,557
8-15   30,321
16-31   17,703
32-63   9,007
64-127   4,088
128-255   1,708
256-511   547
512+   166
1   518,418
2-3   264,069
4-7   144,056
8-15   83,760
16-31   45,565
32-63   21,069
64-127   8,500
128-255   3,019
256-511   791
512+   176

Top Countries

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

countries Visits % Of Total
1.
United States
5,034,809
99%
2.
Canada
22,658
<1%
3.
Jamaica
11,086
<1%
4.
Australia
3,590
<1%
5.
United Kingdom
2,060
<1%
6.
Mexico
1,785
<1%
7.
India
917
<1%
8.
Brazil
895
<1%
9.
Puerto Rico
843
<1%
10.
Dominican Republic
597
<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
191,937
15%
2.
iPhone 6
185,150
15%
3.
iPhone 5
127,768
10%
4.
iPhone 4S
96,464
8%
5.
iPhone 6 Plus
85,869
7%
6.
iPhone 5C
76,095
6%
7.
iPhone 4
48,362
4%
8.
iPad 2
36,152
3%
9.
iPad Air
22,135
2%
10.
iPad 4th Gen
20,137
2%
11.
SM-G900V
18,584
1%
12.
iPad mini
16,479
1%
13.
SCH-I545
16,320
1%
14.
iPad 3rd Gen
16,123
1%
15.
SAMSUNG-SM-G900A
13,701
1%
16.
SAMSUNG-SGH-I337
11,576
1%
17.
SCH-I535
8,884
1%
18.
XT1080
8,732
1%
19.
iPad Air 2
8,251
1%
20.
SM-G900P
7,693
1%
21.
SAMSUNG-SM-N900A
7,372
1%
22.
SM-N900V
7,203
1%
23.
SM-G900T
6,003
<1%
24.
iPad mini with Retina display
5,770
<1%
25.
SM-N910V
5,747
<1%
26.
SAMSUNG-SM-N910A
5,740
<1%
27.
SPH-L710
5,497
<1%
28.
SAMSUNG-SGH-I747
5,480
<1%
29.
SAMSUNG-SM-G870A
5,429
<1%
30.
iPod touch
5,136
<1%
31.
SM-G925T
4,908
<1%
32.
SPH-L720
4,765
<1%
33.
SM-N900T
4,535
<1%
34.
SGH-M919
4,157
<1%
35.
SM-N910T
3,870
<1%
36.
SM-N900P
3,806
<1%
37.
SM-G920T
3,762
<1%
38.
iPhone 3GS
3,593
<1%
39.
XT1254
3,570
<1%
40.
SM-N910P
3,096
<1%
41.
SAMSUNG-SGH-I537
3,049
<1%
42.
SCH-I605
2,953
<1%
43.
VS985 4G
2,871
<1%
44.
XT907
2,413
<1%
45.
iPad
2,385
<1%
46.
VS980 4G
2,323
<1%
47.
SCH-R970
2,279
<1%
48.
SPH-L720T
2,273
<1%
49.
Z970
2,146
<1%
50.
DROID RAZR HD
2,042
<1%
51.
LG-D850
1,978
<1%
52.
HTC One_M8
1,958
<1%
53.
SAMSUNG-SGH-I317
1,906
<1%
54.
LG-D415
1,889
<1%
55.
XT1031
1,778
<1%
56.
SGH-T999
1,762
<1%
57.
LGMS323
1,745
<1%
58.
SCH-S968C
1,725
<1%
59.
SM-G900R4
1,682
<1%
60.
SAMSUNG-SGH-I527
1,670
<1%
61.
HTC One
1,599
<1%
62.
DROID RAZR
1,498
<1%
63.
SPH-L900
1,492
<1%
64.
LGL34C
1,473
<1%
65.
HTCONE
1,452
<1%
66.
XT1030
1,452
<1%
67.
LG-E980
1,420
<1%
68.
HTC6525LVW
1,364
<1%
69.
LG-LS980
1,302
<1%
70.
SM-G386T
1,294
<1%
71.
SM-G386T1
1,291
<1%
72.
SGH-T889
1,259
<1%
73.
LGLS990
1,248
<1%
74.
LGLS740
1,225
<1%
75.
HTC Desire 510
1,169
<1%
76.
7040N
1,164
<1%
77.
SGH-T999L
1,149
<1%
78.
LG-D800
1,147
<1%
79.
Nexus 5
1,136
<1%
80.
LG-D851
1,122
<1%
81.
D6616
1,117
<1%
82.
XT1028
1,104
<1%
83.
SCH-S738C
1,098
<1%
84.
831C
1,055
<1%
See all 84 device models

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

connections Visits % Of Total
1.
WiFi
2,408,413
48%
2.
Cellular Data
2,376,849
47%
3.
No Internet Connection
249,547
5%

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

carriers Visits % Of Total
1.
WiFi
2,408,413
48%
2.
AT&T
1,124,628
22%
3.
Verizon Wireless
700,770
14%
4.
Disconnected
249,547
5%
5.
Sprintcom Inc
238,896
5%
6.
T-Mobile USA
188,191
4%
7.
Unspecified US Carrier
47,806
1%
8.
US Cellular
22,039
<1%
9.
Unrecognized Carrier
21,898
<1%
10.
Cellular South Inc
18,795
<1%
11.
nTELOS Communications Inc (Virginia PCS Alliance LC)
2,891
<1%
12.
Tracfone Wireless
2,771
<1%
13.
Metro PCS Wireless Inc
1,687
<1%
14.
Cricket Communications
1,043
<1%
15.
Bluegrass Cellular LLC
746
<1%
16.
North East Cellular Inc.
722
<1%
17.
Virgin Mobile
682
<1%
18.
GCI Communications Corp.
463
<1%
19.
Celcom (Malaysia) Berhad
394
<1%
20.
Iowa Wireless Services LLC
312
<1%
21.
Union Telephone Company
234
<1%
22.
MTPCS LLC
193
<1%
23.
Cellular Properties Inc.
184
<1%
24.
West Central Wireless
176
<1%
25.
Carolina West Wireless
176
<1%
26.
Not Reported
161
<1%
27.
NetAmerica Alliance LLC
82
<1%
28.
New Mexico RSA 4 East Ltd. Partnership
81
<1%
29.
Nextel Communications Inc
79
<1%
30.
United Wireless Inc
70
<1%
31.
Smith Bagley Inc, dba Cellular One
57
<1%
32.
Sl Wireless LLC
50
<1%
33.
Pine Telephone Company dba Pine Cellular
47
<1%
34.
New Cell Inc. dba Cellcom
42
<1%
35.
Advantage Cellular Systems, Inc.
36
<1%
36.
Chariton Valley Communications Corp., Inc.
29
<1%
37.
MTN Nigeria Communications
29
<1%
38.
T-Mobile Deutschland GmbH
23
<1%
39.
Commnet Wireless LLC
22
<1%
40.
Illinois Valley Cellular
21
<1%
41.
Spacefon
21
<1%
42.
Vodafone Libertel N.V.
17
<1%
43.
Turkcell
16
<1%
44.
Thumb Cellular LLC
15
<1%
45.
Choice Phone LLC
15
<1%
46.
Wireless Communications Venture
10
<1%
47.
Inland Cellular Telephone Company
10
<1%
48.
Movistar
10
<1%
49.
Bug Tussel Wireless LLC
9
<1%
50.
Cablevision Systems Corporation
9
<1%
51.
Consolidated Telcom
9
<1%
52.
Orange Dominicana, S.A.
9
<1%
53.
Indigo Wireless, Inc.
8
<1%
54.
Bell Mobility
8
<1%
55.
Telcel
8
<1%
56.
Mossel (Jamaica) Ltd.
7
<1%
57.
Northwest Missouri Cellular Limited Partnership
6
<1%
58.
Rogers Wireless
6
<1%
59.
Saudi Telecom
6
<1%
60.
Belize Telecommunications Ltd., GSM 1900
6
<1%
61.
Ghana Telecom Mobile
5
<1%
62.
Globacom
5
<1%
63.
Partner Communications Co. Ltd.
5
<1%
64.
Telecom Italia Mobile (TIM)
4
<1%
65.
Telus Mobility
4
<1%
66.
Viva
4
<1%
67.
East Kentucky Network LLC dba Appalachian Wireless
4
<1%
68.
Vodafone Ireland Plc
3
<1%
69.
CTC Telecom Inc
3
<1%
70.
Etisalat
3
<1%
71.
Globe Telecom
3
<1%
72.
LongLines Wireless
3
<1%
73.
Mobile Telesystems
3
<1%
74.
Northeast Wireless Networks LLC
3
<1%
75.
Smart Communications, Inc
3
<1%
76.
Telecom New Zealand - UMTS Ntework
2
<1%
77.
Telefónica Móviles España, SAU
2
<1%
78.
UBET Wireless
2
<1%
79.
WIND
2
<1%
80.
Iusacell / Unefon
2
<1%
81.
China Unicom
2
<1%
82.
Econet Wireless Nigeria Ltd.
2
<1%
83.
EMTS
2
<1%
84.
ERA GSM (Polska Telefonia Cyfrowa Sp. Z.o.o.)
2
<1%
85.
Etihad Etisalat Company (Mobily)
2
<1%
86.
Alaska Communications
2
<1%
87.
GTA Wireless LLC
2
<1%
88.
Nep Cellcorp Inc.
2
<1%
89.
O2 UK Ltd.
2
<1%
90.
PetroCom LLC
2
<1%
91.
Telefónica O2 Czech Republic a.s.
1
<1%
92.
Telesc Cel
1
<1%
93.
Telstra Corporation Ltd.
1
<1%
94.
Tess
1
<1%
95.
Bharti Airtel Ltd., Delhi
1
<1%
96.
Verizon Dominicana S.A.
1
<1%
97.
Vodafone Ltd.
1
<1%
98.
Vodafone New Zealand GSM Network
1
<1%
99.
Warid Telecom
1
<1%
100.
Wataniya Telecom
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 / 8.2
405,930
32%
2.
iOS / 8.3
325,737
26%
3.
Android / 4.4.2
130,764
10%
4.
iOS / 8.1.3
103,057
8%
5.
iOS / 7.1.2
100,766
8%
6.
Android / 4.4.4
90,712
7%
7.
iOS / 8.1.2
52,392
4%
8.
Android / 5.0
32,434
3%
9.
iOS / 7.1.1
25,886
2%
10.
iOS / 8.1
21,511
2%
11.
Android / 5.0.1
20,597
2%
12.
Android / 4.1.2
19,835
2%
13.
iOS / 8.1.1
19,050
1%
14.
iOS / 8.0.2
14,153
1%
15.
iOS / 7.0.4
13,371
1%
16.
iOS / 7.1
12,088
1%
17.
iOS / 6.1.3
11,424
1%
18.
Android / 4.3
10,407
1%
19.
Android / 5.0.2
9,124
1%
20.
Android / LRX22G
8,609
1%
21.
iOS / 8.0
6,888
1%
22.
iOS / 7.0.6
6,843
1%
23.
Android / 4.2.2
5,724
<1%
24.
Android / 4.0.4
5,526
<1%
25.
iOS / 6.1.6
4,634
<1%
26.
iOS / 5.1.1
3,931
<1%
27.
iOS / 7.0.3
3,383
<1%
28.
iOS / 7.0.2
3,271
<1%
29.
iOS / 7.0
2,960
<1%
30.
iOS / 6.1.4
2,612
<1%
31.
Android / 2.3.6
2,098
<1%
32.
Android / 5.1
2,064
<1%
33.
Android / 4.1.1
1,954
<1%
34.
iOS / 6.0.1
1,717
<1%
35.
Android / 4.4.3
1,651
<1%
36.
Android / 4.4
1,606
<1%
37.
iOS / 6.1.2
1,056
<1%
38.
Android / 23.0.D.1.123
911
<1%
39.
Android / KOT49H
766
<1%
40.
iOS / 6.0
766
<1%
41.
Android / 2.3.5
705
<1%
42.
iOS / 6.1
693
<1%
43.
Android / 4.0.3
595
<1%
44.
Android / 2.3.4
567
<1%
45.
Android / JZO54K
427
<1%
46.
Android / 4.2.1
414
<1%
47.
iOS / 5.0.1
257
<1%
48.
Android / KTU84P
243
<1%
49.
Android / IMM76D
232
<1%
50.
iOS / 5.1
225
<1%
51.
iOS / 6.0.2
216
<1%
52.
Android / FROYO
196
<1%
53.
Android / 2.3.7
176
<1%
54.
Android / 2.3.3
162
<1%
55.
Android / JSS15J
137
<1%
56.
Android / GINGERBREAD
130
<1%
57.
iOS / 7.0.1
116
<1%
58.
Android / IMM76I
113
<1%
59.
Android / JDQ39
102
<1%
60.
Android / SU6-7
81
<1%
61.
iOS / 5.0
78
<1%
62.
Android / 9.8.2O-72_VZW-16-5
75
<1%
63.
iOS / 6.1.1
75
<1%
64.
Android / KDA20.62-15
71
<1%
65.
Android / MNC
69
<1%
66.
Android / FRG83G
66
<1%
67.
Android / KDA20.62-15.1
54
<1%
68.
iOS / 8.4
50
<1%
69.
Android / 5.1.1
41
<1%
70.
Android / IML74K
41
<1%
71.
Android / JRO03C
41
<1%
72.
Android / FRG83
35
<1%
73.
Android / IML77
35
<1%
74.
Android / LRX21V
34
<1%
75.
iOS / 6.1.5
34
<1%
76.
Android / 4.3.1
32
<1%
77.
Android / LRX22C
30
<1%
78.
Android / GRJ22
29
<1%
79.
Android / IMM76L
29
<1%
80.
Android / LMY47I
27
<1%
81.
Android / 3.2.1
25
<1%
82.
Android / GRK39F
23
<1%
83.
Android / LMY47D
23
<1%
84.
Android / HuaweiH881C
17
<1%
85.
Android / 3.2
16
<1%
86.
Android / HuaweiU8800-51
15
<1%
87.
Android / GRI40
14
<1%
88.
Android / HuaweiU8665B037
14
<1%
89.
Android / 4.5.1_57_DX9-10
13
<1%
90.
Android / C811M070
13
<1%
91.
Android / GRJ90
13
<1%
92.
Android / KXB21.14-L1.57
13
<1%
93.
Android / KTU84L
12
<1%
94.
Android / 3.1
11
<1%
95.
Android / LRX21T
11
<1%
96.
Android / FRK76
10
<1%
97.
Android / 3.4.2-125_KOB_CCI-6
9
<1%
98.
Android / 9.8.0Q-97_MB886_FFW-28
9
<1%
99.
Android / 9.8.2O-72_VZW-22
9
<1%
100.
Android / C771M150
9
<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   43%
Mr. Number - Block calls, texts.   41%
Metro   15%
Cricket   <1%
2.9.4 (iOS)   63%
2.8.1 (Android)   23%
2.9.2 (iOS)   4%
2.8 (Android)   2%
2.8.1 (iOS)   2%
2.7.3 (iOS)   1%
2.9.3 (iOS)   1%
2.9.1 (iOS)   1%
2.8 (iOS)   1%
1.1 (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.