Whitepages Network

Monthly Uniques
N/A US N/A Global

Whitepages Mobile App

1.3M US 1.3M Global


Updated Sep 5, 2015 • Next: Sep 6, 2015 by 9AM PDT
Last Month
For Aug 6, 2015 - Sep 4, 2015
Uniques Visits Installs Upgrades
Whitepages 2.9.4 (iOS) 833,693 3,365,376 65,605 116,082
Whitepages 2.8.1 (Android) 296,054 1,222,923 65,852 14,637
Whitepages 1.2.177 (Android) 23,545 43,191 18,204 2,473
Whitepages 2.9.2 (iOS) 16,310 61,600 180 2,172
Whitepages 2.8.1 (iOS) 15,420 70,871 1,352 167
See all 34 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  79
Female
 
 
120
 
 
 
< 18
 
  60
18-24
 
  44
25-34
 
  63
35-44
 
  95
45-54
 
 
134
55-64
 
 
195
65+
 
210
 
 
 
No Kids
 
 
116
Has Kids
 
  84
 
US Average
Index
 
 
$0-50k
 
  81
$50-100k
 
 
114
$100-150k
 
 
125
$150k+
 
 
129
 
 
 
No College
 
  85
College
 
 
109
Grad School
 
 
121
 
 
 
Caucasian
 
 
115
African American
 
  66
Asian
 
  36
Hispanic
 
  46
Other
 
  88
 
US Average


Updated Aug 30, 2015 • Next: Sep 9, 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 Aug 30, 2015 • Next: Sep 9, 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   169,546
2-3   89,035
4-7   48,482
8-15   28,960
16-31   16,516
32-63   8,665
64-127   3,858
128-255   1,579
256-511   559
512+   198
1   488,271
2-3   247,651
4-7   138,689
8-15   82,377
16-31   45,751
32-63   22,006
64-127   9,032
128-255   3,175
256-511   988
512+   228

Top Countries

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

countries Visits % Of Total
1.
United States
4,981,302
99%
2.
Canada
22,120
<1%
3.
Jamaica
8,389
<1%
4.
United Kingdom
3,636
<1%
5.
Australia
2,371
<1%
6.
Mexico
1,157
<1%
7.
India
1,150
<1%
8.
Puerto Rico
1,025
<1%
9.
Germany
406
<1%
10.
Dominican Republic
405
<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
234,916
19%
2.
iPhone 5S
172,001
14%
3.
iPhone 6 Plus
109,570
9%
4.
iPhone 5
92,815
7%
5.
iPhone 5C
67,496
5%
6.
iPhone 4S
67,470
5%
7.
iPhone 4
32,300
3%
8.
iPad 2
30,409
2%
9.
iPad Air
21,335
2%
10.
iPad 4th Gen
17,863
1%
11.
SM-G900V
17,533
1%
12.
iPad mini
14,499
1%
13.
SAMSUNG-SM-G900A
13,490
1%
14.
iPad 3rd Gen
13,478
1%
15.
SCH-I545
12,683
1%
16.
iPad Air 2
10,869
1%
17.
SM-G925T
8,940
1%
18.
SM-G920T
8,666
1%
19.
SAMSUNG-SGH-I337
8,456
1%
20.
XT1080
8,395
1%
21.
SM-N910V
7,353
1%
22.
SM-G900P
7,223
1%
23.
SAMSUNG-SM-N910A
6,902
1%
24.
SM-N900V
6,072
<1%
25.
SAMSUNG-SM-N900A
6,062
<1%
26.
SM-G530T
5,948
<1%
27.
XT1254
5,912
<1%
28.
iPad mini with Retina display
5,870
<1%
29.
SM-G360T
5,636
<1%
30.
SCH-I535
5,629
<1%
31.
SM-G900T
5,305
<1%
32.
SAMSUNG-SM-G870A
5,216
<1%
33.
SM-N920T
5,004
<1%
34.
SM-G920V
5,001
<1%
35.
SM-N910T
4,642
<1%
36.
iPod touch
3,988
<1%
37.
SM-N900T
3,935
<1%
38.
SM-N910P
3,847
<1%
39.
LG-H345
3,664
<1%
40.
SAMSUNG-SGH-I747
3,631
<1%
41.
SM-G928T
3,601
<1%
42.
LG-H631
3,537
<1%
43.
SPH-L710
3,447
<1%
44.
SGH-M919
3,073
<1%
45.
SM-N900P
3,053
<1%
46.
SPH-L720
3,052
<1%
47.
SM-G920P
2,928
<1%
48.
Z970
2,781
<1%
49.
VS985 4G
2,709
<1%
50.
5042T
2,630
<1%
51.
SAMSUNG-SM-G920A
2,615
<1%
52.
LG-H811
2,510
<1%
53.
iPhone 3GS
2,400
<1%
54.
SAMSUNG-SGH-I537
2,142
<1%
55.
SCH-I605
2,120
<1%
56.
LG-D850
2,085
<1%
57.
SCH-S968C
1,796
<1%
58.
SM-G900R4
1,776
<1%
59.
iPad
1,762
<1%
60.
SCH-R970
1,751
<1%
61.
SPH-L720T
1,751
<1%
62.
VS980 4G
1,687
<1%
63.
HTC One_M8
1,650
<1%
64.
SM-G386T
1,497
<1%
65.
HTC Desire 626s
1,439
<1%
66.
LG-D415
1,408
<1%
67.
SAMSUNG-SM-G925A
1,379
<1%
68.
XT907
1,342
<1%
69.
SAMSUNG-SGH-I317
1,340
<1%
70.
SM-G925V
1,338
<1%
71.
HTC Desire 510
1,331
<1%
72.
LGLS740
1,305
<1%
73.
SAMSUNG-SGH-I527
1,276
<1%
74.
XT1030
1,270
<1%
75.
SM-G386T1
1,256
<1%
76.
LGLS990
1,231
<1%
77.
SAMSUNG-SM-G890A
1,223
<1%
78.
XT1031
1,213
<1%
79.
LGMS345
1,206
<1%
80.
SGH-T999
1,196
<1%
81.
HTC6525LVW
1,154
<1%
82.
HTC One M9
1,110
<1%
83.
HTC One
1,078
<1%
84.
LG-E980
1,071
<1%
See all 84 device models

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

connections Visits % Of Total
1.
WiFi
2,428,138
49%
2.
Cellular Data
2,389,272
48%
3.
No Internet Connection
163,892
3%

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

carriers Visits % Of Total
1.
WiFi
2,428,138
49%
2.
AT&T
1,108,853
22%
3.
Verizon Wireless
707,675
14%
4.
T-Mobile USA
245,001
5%
5.
Sprintcom Inc
226,822
5%
6.
Disconnected
163,892
3%
7.
Unspecified US Carrier
32,844
1%
8.
US Cellular
21,233
<1%
9.
Cellular South Inc
18,654
<1%
10.
Unrecognized Carrier
18,342
<1%
11.
nTELOS Communications Inc (Virginia PCS Alliance LC)
2,515
<1%
12.
Tracfone Wireless
2,370
<1%
13.
North East Cellular Inc.
701
<1%
14.
Bluegrass Cellular LLC
610
<1%
15.
Virgin Mobile
538
<1%
16.
GCI Communications Corp.
459
<1%
17.
Celcom (Malaysia) Berhad
348
<1%
18.
Carolina West Wireless
231
<1%
19.
Iowa Wireless Services LLC
218
<1%
20.
Union Telephone Company
177
<1%
21.
West Central Wireless
167
<1%
22.
MTPCS LLC
167
<1%
23.
Cellular Properties Inc.
141
<1%
24.
Not Reported
87
<1%
25.
Cricket Communications
85
<1%
26.
Telcel
78
<1%
27.
NetAmerica Alliance LLC
72
<1%
28.
Illinois Valley Cellular
59
<1%
29.
New Mexico RSA 4 East Ltd. Partnership
57
<1%
30.
United Wireless Inc
55
<1%
31.
Sl Wireless LLC
53
<1%
32.
MTN Nigeria Communications
50
<1%
33.
Mossel (Jamaica) Ltd.
44
<1%
34.
Advantage Cellular Systems, Inc.
39
<1%
35.
New Cell Inc. dba Cellcom
36
<1%
36.
Smith Bagley Inc, dba Cellular One
32
<1%
37.
Bell Mobility
32
<1%
38.
Pine Telephone Company dba Pine Cellular
29
<1%
39.
EMTS
23
<1%
40.
T-Mobile Deutschland GmbH
21
<1%
41.
Commnet Wireless LLC
17
<1%
42.
Rogers Wireless
16
<1%
43.
Telus Mobility
15
<1%
44.
Northeast Wireless Networks LLC
15
<1%
45.
Bug Tussel Wireless LLC
14
<1%
46.
Chariton Valley Communications Corp., Inc.
14
<1%
47.
Consolidated Telcom
13
<1%
48.
CTC Telecom Inc
13
<1%
49.
Movistar
10
<1%
50.
Choice Phone LLC
9
<1%
51.
Thumb Cellular LLC
8
<1%
52.
olleh Mobile
7
<1%
53.
Cablevision Systems Corporation
7
<1%
54.
Celtel
7
<1%
55.
Econet Wireless Nigeria Ltd.
7
<1%
56.
Ghana Telecom Mobile
7
<1%
57.
Nextel Communications Inc
7
<1%
58.
Spacefon
7
<1%
59.
Nep Cellcorp Inc.
6
<1%
60.
Wireless Communications Venture
5
<1%
61.
Indigo Wireless, Inc.
5
<1%
62.
Inland Cellular Telephone Company
5
<1%
63.
Telefónica O2 Czech Republic a.s.
4
<1%
64.
Vodafone
4
<1%
65.
Vodafone España, SAU
4
<1%
66.
Digicel Ltd
4
<1%
67.
Globacom
4
<1%
68.
Orange Dominicana, S.A.
4
<1%
69.
Telefónica Móviles Colombia S.A.
3
<1%
70.
UBET Wireless
3
<1%
71.
Verizon Dominicana S.A.
3
<1%
72.
Cellcom Israel Ltd.
3
<1%
73.
East Kentucky Network LLC dba Appalachian Wireless
3
<1%
74.
Hutchison 3G Austria GmbH
3
<1%
75.
Hutchison 3G UK Ltd.
3
<1%
76.
MTA Communications dba MTA Wireless
3
<1%
77.
New Cingular Wireless PCS, LLC
3
<1%
78.
Orange France
3
<1%
79.
RSA 1 Limited Partnership dba Cellular 29 Plus
3
<1%
80.
Saudi Telecom
3
<1%
81.
Telefónica Móviles España, SAU
2
<1%
82.
Vodafone Ireland Plc
2
<1%
83.
Vodafone Libertel N.V.
2
<1%
84.
WIND
2
<1%
85.
Total Access Communications Co (DTAC)
2
<1%
86.
Bouygues Telecom
2
<1%
87.
China Mobile
2
<1%
88.
Aircell Cellular Ltd, Chennai
2
<1%
89.
Cosmote
2
<1%
90.
Digicel, S.A. de C.V.
2
<1%
91.
Etisalat
2
<1%
92.
H3G
2
<1%
93.
Idea (Polska Telefonia Komórkowa Centertel Sp. Z.o.o)
2
<1%
94.
Kyivstar GSM
2
<1%
95.
Metro PCS Wireless Inc
2
<1%
96.
Mobile Telesystems
2
<1%
97.
Mobilkom Austria Aktiengesellschaft
2
<1%
98.
Northwest Missouri Cellular Limited Partnership
2
<1%
99.
O2 (Germany) GmbH & Co. OHG
2
<1%
100.
O2 UK Ltd.
2
<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
400,803
32%
2.
iOS / 8.4.1
361,988
29%
3.
iOS / 8.3
121,684
10%
4.
Android / 4.4.2
70,159
6%
5.
iOS / 7.1.2
59,829
5%
6.
Android / 5.0
56,899
5%
7.
Android / 5.0.1
51,750
4%
8.
Android / 4.4.4
38,675
3%
9.
Android / LMY47X
31,262
2%
10.
Android / 5.0.2
24,919
2%
11.
Android / 5.1.1
23,318
2%
12.
iOS / 8.1.3
22,415
2%
13.
iOS / 8.2
21,192
2%
14.
iOS / 8.1.2
19,266
2%
15.
iOS / 7.1.1
14,888
1%
16.
Android / 4.1.2
12,509
1%
17.
Android / 5.1
12,314
1%
18.
iOS / 8.1
9,956
1%
19.
Android / 4.3
8,198
1%
20.
iOS / 8.1.1
8,071
1%
21.
iOS / 7.0.4
8,044
1%
22.
iOS / 7.1
7,064
1%
23.
iOS / 6.1.3
6,560
1%
24.
iOS / 8.0.2
6,123
<1%
25.
Android / LRX22G
5,537
<1%
26.
Android / LMY47V
4,768
<1%
27.
iOS / 7.0.6
3,976
<1%
28.
Android / 4.2.2
3,653
<1%
29.
iOS / 6.1.6
3,243
<1%
30.
iOS / 8.0
3,131
<1%
31.
iOS / 5.1.1
2,792
<1%
32.
Android / 4.0.4
2,699
<1%
33.
iOS / 9.0
2,671
<1%
34.
Android / KTU84P
2,578
<1%
35.
Android / LMY47O
2,274
<1%
36.
Android / LMY47D
2,123
<1%
37.
iOS / 7.0.3
2,020
<1%
38.
iOS / 7.0.2
1,802
<1%
39.
iOS / 7.0
1,718
<1%
40.
iOS / 6.1.4
1,355
<1%
41.
Android / 2.3.6
1,191
<1%
42.
Android / 4.1.1
1,080
<1%
43.
Android / 4.4
1,068
<1%
44.
iOS / 6.0.1
958
<1%
45.
Android / 4.4.3
800
<1%
46.
iOS / 6.1.2
613
<1%
47.
Android / 23.1.C.0.385
558
<1%
48.
iOS / 6.0
464
<1%
49.
Android / 2.3.5
436
<1%
50.
iOS / 6.1
406
<1%
51.
Android / 4.0.3
344
<1%
52.
Android / KOT49H
312
<1%
53.
Android / 2.3.4
305
<1%
54.
Android / 4.2.1
251
<1%
55.
Android / JZO54K
196
<1%
56.
iOS / 5.0.1
167
<1%
57.
Android / 6.0
155
<1%
58.
iOS / 5.1
149
<1%
59.
Android / FROYO
124
<1%
60.
Android / LRX22C
118
<1%
61.
iOS / 6.0.2
111
<1%
62.
Android / IMM76D
105
<1%
63.
Android / 2.3.3
93
<1%
64.
Android / 2.3.7
86
<1%
65.
iOS / 7.0.1
73
<1%
66.
Android / JSS15J
64
<1%
67.
Android / GINGERBREAD
59
<1%
68.
Android / SU6-7.2
50
<1%
69.
Android / JDQ39
46
<1%
70.
iOS / 6.1.1
43
<1%
71.
Android / 9.8.2O-72_VZW-16-5
42
<1%
72.
Android / IMM76I
41
<1%
73.
Android / LRX21V
41
<1%
74.
Android / KDA20.62-15.1
39
<1%
75.
Android / FRG83G
37
<1%
76.
Android / KDA20.62-15
33
<1%
77.
iOS / 5.0
33
<1%
78.
Android / LRX21T
25
<1%
79.
iOS / 6.1.5
25
<1%
80.
Android / IML74K
20
<1%
81.
Android / IML77
16
<1%
82.
Android / FRG83
14
<1%
83.
Android / GRJ22
14
<1%
84.
Android / 3.2.1
13
<1%
85.
Android / IMM76L
13
<1%
86.
Android / 4.3.1
12
<1%
87.
Android / JRO03C
12
<1%
88.
Android / GRK39F
11
<1%
89.
Android / KOT49I.E98020h
11
<1%
90.
Android / 23.0.D.1.123
10
<1%
91.
Android / 3.2
10
<1%
92.
Android / GRJ90
10
<1%
93.
Android / M
10
<1%
94.
Android / HuaweiU8800-51
9
<1%
95.
Android / FRK76
7
<1%
96.
Android / GRI40
7
<1%
97.
Android / 3.4.2-125_KOB_CCI-6
6
<1%
98.
Android / 9.8.2O-72_VZW-18-9
6
<1%
99.
Android / HWU8800B635
6
<1%
100.
Android / KXB21.14-L1.57
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   44%
Mr. Number - Block calls, texts.   36%
Metro   20%
2.9.4 (iOS)   68%
2.8.1 (Android)   25%
2.8.1 (iOS)   1%
2.9.2 (iOS)   1%
1.2.177 (Android)   1%
1.1 (iOS)   1%
2.7.3 (iOS)   1%
2.8 (Android)   1%
1.2.164 (Android)   <1%
2.9.1 (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.