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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 Feb 26, 2015 • Next: Feb 27, 2015 by 9AM PST
Last Month
For Jan 27, 2015 - Feb 25, 2015
Uniques Visits Installs Upgrades
Whitepages 2.9.2 (iOS) 855,369 3,259,537 304,257 37,321
Whitepages 2.8 (Android) 315,734 1,313,817 93,387 8,455
Whitepages 2.8.1 (iOS) 34,612 158,983 10,513 735
Whitepages 2.9.1 (iOS) 14,554 55,800 5,728 518
Whitepages 2.7.3 (iOS) 14,364 58,114 4,294 111
See all 33 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  82
Female
 
 
117
 
 
 
< 18
 
  62
18-24
 
  56
25-34
 
  71
35-44
 
 
103
45-54
 
 
134
55-64
 
 
170
65+
 
 
171
 
 
 
No Kids
 
 
112
Has Kids
 
  88
 
US Average
Index
 
 
$0-50k
 
  85
$50-100k
 
 
111
$100-150k
 
 
121
$150k+
 
 
118
 
 
 
No College
 
  84
College
 
 
111
Grad School
 
 
117
 
 
 
Caucasian
 
 
114
African American
 
  55
Asian
 
  45
Hispanic
 
  61
Other
 
  91
 
US Average


Updated Feb 20, 2015 • Next: Mar 4, 2015 by 9AM PST

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 Feb 20, 2015 • Next: Mar 4, 2015 by 9AM PST

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   140,561
2-3   84,455
4-7   50,201
8-15   30,741
16-31   17,637
32-63   9,341
64-127   4,308
128-255   1,681
256-511   590
512+   174
1   482,173
2-3   252,386
4-7   140,706
8-15   83,203
16-31   45,160
32-63   21,310
64-127   8,415
128-255   2,909
256-511   781
512+   192

Top Countries

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

countries Visits % Of Total
1.
United States
4,979,168
99%
2.
Canada
19,245
<1%
3.
Jamaica
10,695
<1%
4.
Australia
3,524
<1%
5.
India
3,273
<1%
6.
United Kingdom
1,913
<1%
7.
Mexico
1,560
<1%
8.
Puerto Rico
1,061
<1%
9.
China
926
<1%
10.
Saudi Arabia
675
<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
188,106
15%
2.
iPhone 6
148,986
12%
3.
iPhone 5
140,717
11%
4.
iPhone 4S
110,854
9%
5.
iPhone 5C
75,122
6%
6.
iPhone 6 Plus
68,847
5%
7.
iPhone 4
56,564
4%
8.
iPad 2
39,367
3%
9.
iPad Air
22,853
2%
10.
iPad 4th Gen
21,307
2%
11.
SM-G900V
17,993
1%
12.
iPad mini
17,788
1%
13.
iPad 3rd Gen
17,287
1%
14.
SCH-I545
16,772
1%
15.
SAMSUNG-SM-G900A
13,138
1%
16.
SAMSUNG-SGH-I337
12,552
1%
17.
SCH-I535
10,113
1%
18.
XT1080
8,680
1%
19.
SAMSUNG-SM-N900A
8,055
1%
20.
SM-N900V
7,468
1%
21.
SM-G900P
7,402
1%
22.
iPad Air 2
6,827
1%
23.
SPH-L710
6,622
1%
24.
SAMSUNG-SGH-I747
6,455
1%
25.
SM-G900T
5,977
<1%
26.
iPad mini with Retina display
5,896
<1%
27.
iPod touch
5,516
<1%
28.
SPH-L720
5,459
<1%
29.
SM-N900T
4,928
<1%
30.
SAMSUNG-SM-G870A
4,905
<1%
31.
SGH-M919
4,621
<1%
32.
SAMSUNG-SM-N910A
4,531
<1%
33.
SM-N910V
4,454
<1%
34.
iPhone 3GS
4,350
<1%
35.
SM-N900P
3,966
<1%
36.
SCH-I605
3,418
<1%
37.
SAMSUNG-SGH-I537
3,376
<1%
38.
XT907
2,992
<1%
39.
SM-N910T
2,964
<1%
40.
iPad
2,714
<1%
41.
DROID RAZR HD
2,616
<1%
42.
VS980 4G
2,560
<1%
43.
XT1254
2,533
<1%
44.
SCH-R970
2,343
<1%
45.
SM-N910P
2,292
<1%
46.
SPH-L720T
2,270
<1%
47.
SAMSUNG-SGH-I317
2,268
<1%
48.
VS985 4G
2,265
<1%
49.
SGH-T999
2,226
<1%
50.
DROID RAZR
2,096
<1%
51.
XT1031
2,001
<1%
52.
HTC One_M8
1,971
<1%
53.
SAMSUNG-SGH-I527
1,813
<1%
54.
HTC One
1,809
<1%
55.
SPH-L900
1,776
<1%
56.
LG-D415
1,736
<1%
57.
LGMS323
1,730
<1%
58.
SCH-S968C
1,723
<1%
59.
LG-D850
1,668
<1%
60.
HTCONE
1,645
<1%
61.
XT1030
1,591
<1%
62.
LG-E980
1,587
<1%
63.
SCH-S738C
1,583
<1%
64.
SM-G900R4
1,547
<1%
65.
SGH-T889
1,535
<1%
66.
LG-LS980
1,463
<1%
67.
LGL34C
1,389
<1%
68.
HTC6525LVW
1,349
<1%
69.
SGH-T999L
1,337
<1%
70.
Z970
1,283
<1%
71.
Nexus 7
1,223
<1%
72.
LG-D800
1,197
<1%
73.
Nexus 5
1,172
<1%
74.
LGLS740
1,165
<1%
75.
7040N
1,153
<1%
76.
XT1028
1,150
<1%
77.
LGLS990
1,059
<1%
78.
SCH-I435
1,049
<1%
79.
831C
1,039
<1%
80.
HTC6500LVW
1,025
<1%
81.
C6730
1,022
<1%
82.
SGH-T599N
1,020
<1%
83.
HTC Desire 510
1,018
<1%
84.
SGH-T989
1,017
<1%
See all 84 device models

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

connections Visits % Of Total
1.
WiFi
2,419,626
49%
2.
Cellular Data
2,250,633
45%
3.
No Internet Connection
308,909
6%

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

carriers Visits % Of Total
1.
WiFi
2,419,626
49%
2.
AT&T
1,055,125
21%
3.
Verizon Wireless
656,123
13%
4.
Disconnected
308,909
6%
5.
Sprintcom Inc
233,794
5%
6.
T-Mobile USA
175,687
4%
7.
Unspecified US Carrier
52,300
1%
8.
Unrecognized Carrier
22,243
<1%
9.
US Cellular
20,403
<1%
10.
Cellular South Inc
17,789
<1%
11.
nTELOS Communications Inc (Virginia PCS Alliance LC)
3,044
<1%
12.
Tracfone Wireless
2,956
<1%
13.
Metro PCS Wireless Inc
2,749
<1%
14.
Cricket Communications
2,665
<1%
15.
Virgin Mobile
864
<1%
16.
Bluegrass Cellular LLC
843
<1%
17.
North East Cellular Inc.
697
<1%
18.
GCI Communications Corp.
512
<1%
19.
Celcom (Malaysia) Berhad
393
<1%
20.
Iowa Wireless Services LLC
294
<1%
21.
Union Telephone Company
230
<1%
22.
Cellular Properties Inc.
202
<1%
23.
MTPCS LLC
189
<1%
24.
West Central Wireless
175
<1%
25.
New Mexico RSA 4 East Ltd. Partnership
173
<1%
26.
Not Reported
155
<1%
27.
Carolina West Wireless
126
<1%
28.
NetAmerica Alliance LLC
68
<1%
29.
Nextel Communications Inc
64
<1%
30.
Pine Telephone Company dba Pine Cellular
57
<1%
31.
New Cell Inc. dba Cellcom
53
<1%
32.
United Wireless Inc
47
<1%
33.
Cincinnati Bell Wireless LLC
47
<1%
34.
Chariton Valley Communications Corp., Inc.
46
<1%
35.
Smith Bagley Inc, dba Cellular One
45
<1%
36.
Advantage Cellular Systems, Inc.
36
<1%
37.
Sl Wireless LLC
31
<1%
38.
Vodafone Libertel N.V.
24
<1%
39.
Mobilink
21
<1%
40.
MTN Nigeria Communications
21
<1%
41.
UBET Wireless
17
<1%
42.
Rogers Wireless
16
<1%
43.
Telus Mobility
15
<1%
44.
Commnet Wireless LLC
13
<1%
45.
Illinois Valley Cellular
13
<1%
46.
Choice Phone LLC
11
<1%
47.
Movistar
11
<1%
48.
T-Mobile Deutschland GmbH
11
<1%
49.
Du
10
<1%
50.
Consolidated Telcom
9
<1%
51.
Saudi Telecom
9
<1%
52.
California RSA No3 Ltd Partnership dba Golden State Cellular
8
<1%
53.
Northeast Wireless Networks LLC
8
<1%
54.
RSA 1 Limited Partnership dba Cellular 29 Plus
8
<1%
55.
Thumb Cellular LLC
7
<1%
56.
CTC Telecom Inc
7
<1%
57.
Inland Cellular Telephone Company
7
<1%
58.
LongLines Wireless
7
<1%
59.
Northwest Missouri Cellular Limited Partnership
7
<1%
60.
Bell Mobility
7
<1%
61.
China Mobile
6
<1%
62.
China Unicom
6
<1%
63.
Orange Dominicana, S.A.
6
<1%
64.
Telcel
6
<1%
65.
Indigo Wireless, Inc.
5
<1%
66.
Wireless Communications Venture
4
<1%
67.
Bug Tussel Wireless LLC
4
<1%
68.
Econet Wireless Nigeria Ltd.
4
<1%
69.
EMTS
4
<1%
70.
Fascel Ltd., Gujarat
4
<1%
71.
AWCC
4
<1%
72.
Pelephone Communications Ltd.
4
<1%
73.
Telecom Italia Mobile (TIM)
3
<1%
74.
Telecommunication Company of Iran (TCI)
3
<1%
75.
Wataniya Telecom
3
<1%
76.
Bharti Airtel Ltd., Punjab
3
<1%
77.
Leaco Rural Telephone Company Inc
3
<1%
78.
Mobile Telesystems
3
<1%
79.
MTA Communications dba MTA Wireless
3
<1%
80.
PetroCom LLC
3
<1%
81.
Vodafone D2 GmbH
2
<1%
82.
Vodafone España, SAU
2
<1%
83.
WIND
2
<1%
84.
Iusacell / Unefon
2
<1%
85.
Cablevision Systems Corporation
2
<1%
86.
Globacom
2
<1%
87.
Alaska Communications
2
<1%
88.
Mobitel
2
<1%
89.
Mobitel (Cam GSM)
2
<1%
90.
Nex-Tech Wireless LLC
2
<1%
91.
Omnitel Pronto Italia (OPI)
2
<1%
92.
QATARNET
2
<1%
93.
SETEL GSM
2
<1%
94.
Spacefon
2
<1%
95.
Telcel, C.A.
2
<1%
96.
Telefónica Móviles Panamá S.A.
1
<1%
97.
Vodafone Ltd.
1
<1%
98.
Vodafone Network Pty. Ltd.
1
<1%
99.
Taiwan Mobile
1
<1%
100.
Fido Solutions
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 / 8.1.3
451,757
36%
2.
iOS / 8.1.2
249,387
20%
3.
Android / 4.4.2
155,922
12%
4.
iOS / 7.1.2
136,082
11%
5.
Android / 4.4.4
102,605
8%
6.
iOS / 8.1.1
36,003
3%
7.
iOS / 8.1
35,052
3%
8.
iOS / 7.1.1
33,641
3%
9.
Android / 4.1.2
25,121
2%
10.
iOS / 8.0.2
23,069
2%
11.
iOS / 7.0.4
17,445
1%
12.
iOS / 7.1
15,536
1%
13.
iOS / 6.1.3
14,727
1%
14.
Android / 4.3
12,075
1%
15.
iOS / 8.0
10,485
1%
16.
iOS / 7.0.6
8,868
1%
17.
Android / 4.2.2
7,544
1%
18.
Android / 4.0.4
7,523
1%
19.
iOS / 6.1.6
5,578
<1%
20.
Android / 5.0
4,705
<1%
21.
iOS / 5.1.1
4,579
<1%
22.
iOS / 7.0.3
4,353
<1%
23.
iOS / 7.0.2
4,116
<1%
24.
Android / 5.0.1
3,843
<1%
25.
iOS / 7.0
3,842
<1%
26.
iOS / 6.1.4
3,351
<1%
27.
Android / 2.3.6
2,808
<1%
28.
Android / 4.1.1
2,622
<1%
29.
Android / 5.0.2
2,301
<1%
30.
iOS / 6.0.1
2,073
<1%
31.
Android / 4.4.3
1,827
<1%
32.
Android / 4.4
1,509
<1%
33.
iOS / 6.1.2
1,368
<1%
34.
Android / KOT49H
1,027
<1%
35.
iOS / 6.0
1,012
<1%
36.
Android / 2.3.5
928
<1%
37.
iOS / 6.1
899
<1%
38.
Android / 4.0.3
785
<1%
39.
Android / 23.0.D.1.123
774
<1%
40.
Android / 2.3.4
677
<1%
41.
Android / JZO54K
642
<1%
42.
Android / 4.2.1
493
<1%
43.
iOS / 5.0.1
345
<1%
44.
Android / IMM76D
343
<1%
45.
Android / KTU84P
320
<1%
46.
iOS / 6.0.2
266
<1%
47.
iOS / 5.1
258
<1%
48.
Android / JSS15J
257
<1%
49.
Android / 2.3.7
236
<1%
50.
Android / FROYO
214
<1%
51.
Android / 2.3.3
201
<1%
52.
Android / GINGERBREAD
201
<1%
53.
Android / IMM76I
173
<1%
54.
iOS / 7.0.1
142
<1%
55.
Android / JDQ39
134
<1%
56.
Android / 9.8.2O-72_VZW-16-5
116
<1%
57.
iOS / 6.1.1
103
<1%
58.
Android / KDA20.62-15
102
<1%
59.
Android / SU6-7
101
<1%
60.
Android / LRX22G
87
<1%
61.
iOS / 5.0
83
<1%
62.
Android / KDA20.62-15.1
77
<1%
63.
Android / FRG83G
74
<1%
64.
Android / IML74K
66
<1%
65.
iOS / 8.2
62
<1%
66.
Android / IML77
61
<1%
67.
iOS / 8.3
58
<1%
68.
Android / GRJ22
53
<1%
69.
Android / GRK39F
49
<1%
70.
Android / IMM76L
46
<1%
71.
Android / JRO03C
45
<1%
72.
Android / FRG83
44
<1%
73.
iOS / 6.1.5
39
<1%
74.
Android / 3.2
29
<1%
75.
Android / 3.2.1
26
<1%
76.
Android / 4.3.1
26
<1%
77.
Android / GRJ90
24
<1%
78.
Android / HuaweiH881C
24
<1%
79.
Android / HuaweiU8800-51
22
<1%
80.
Android / GRI40
19
<1%
81.
Android / HuaweiU8665B037
18
<1%
82.
Android / KXB21.14-L1.57
18
<1%
83.
Android / 4.5.1_57_DX9-10
16
<1%
84.
Android / JRO03L
16
<1%
85.
Android / 9.8.2O-72_VZW-18-9
14
<1%
86.
Android / 9.8.2O-72_VZW-22
14
<1%
87.
Android / C771M150
13
<1%
88.
Android / C811M070
13
<1%
89.
Android / HuaweiU8730
13
<1%
90.
Android / KTU84L
13
<1%
91.
Android / KOT49I.VS98027A
12
<1%
92.
Android / HuaweiY301A1
11
<1%
93.
Android / 4.5.1A-DTN-200-18
10
<1%
94.
Android / 9.8.0Q-97_MB886_FFW-28
10
<1%
95.
Android / 9.8.2O-72_VZW-18-8
10
<1%
96.
Android / FRK76
10
<1%
97.
Android / HWU8800B635
10
<1%
98.
Android / LRX22C
10
<1%
99.
Android / 4.5.1A_SUN_USC_19.0
9
<1%
100.
Android / HuaweiM931
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   45%
Mr. Number - Block calls, texts.   41%
Metro   14%
2.9.2 (iOS)   65%
2.8 (Android)   26%
2.8.1 (iOS)   3%
2.7.3 (iOS)   1%
2.9.1 (iOS)   1%
2.8 (iOS)   1%
2.6 (Android)   1%
2.7.2 (iOS)   1%
2.7 (Android)   <1%
2.7.1 (Android)   <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.