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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 Mar 28, 2015 • Next: Mar 29, 2015 by 9AM PDT
Last Month
For Feb 26, 2015 - Mar 27, 2015
Uniques Visits Installs Upgrades
Whitepages 2.9.4 (iOS) 610,738 1,770,366 192,336 455,098
Whitepages 2.9.3 (iOS) 442,618 1,014,422 98,223 358,293
Whitepages 2.9.2 (iOS) 277,394 615,791 54,193 6,647
Whitepages 2.8 (Android) 217,011 685,701 38,223 3,451
Whitepages 2.8.1 (Android) 205,706 649,608 55,351 155,272
See all 35 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  86
Female
 
 
113
 
 
 
< 18
 
  65
18-24
 
  43
25-34
 
  67
35-44
 
  98
45-54
 
 
133
55-64
 
 
187
65+
 
 
195
 
 
 
No Kids
 
 
115
Has Kids
 
  84
 
US Average
Index
 
 
$0-50k
 
  83
$50-100k
 
 
114
$100-150k
 
 
120
$150k+
 
 
124
 
 
 
No College
 
  82
College
 
 
112
Grad School
 
 
122
 
 
 
Caucasian
 
 
114
African American
 
  69
Asian
 
  35
Hispanic
 
  48
Other
 
  90
 
US Average


Updated Mar 22, 2015 • Next: Apr 1, 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 Mar 22, 2015 • Next: Apr 1, 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   128,701
2-3   91,433
4-7   56,905
8-15   32,848
16-31   17,693
32-63   8,704
64-127   3,836
128-255   1,415
256-511   415
512+   114
1   473,452
2-3   288,135
4-7   165,915
8-15   89,739
16-31   41,671
32-63   16,904
64-127   5,864
128-255   1,725
256-511   451
512+   67

Top Countries

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

countries Visits % Of Total
1.
United States
5,085,611
99%
2.
Canada
20,662
<1%
3.
Jamaica
11,476
<1%
4.
Australia
4,108
<1%
5.
India
3,120
<1%
6.
United Kingdom
2,045
<1%
7.
Mexico
1,768
<1%
8.
China
1,284
<1%
9.
Puerto Rico
1,030
<1%
10.
Dominican Republic
628
<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
190,342
15%
2.
iPhone 6
171,230
13%
3.
iPhone 5
137,628
11%
4.
iPhone 4S
104,951
8%
5.
iPhone 6 Plus
80,123
6%
6.
iPhone 5C
76,768
6%
7.
iPhone 4
53,795
4%
8.
iPad 2
39,301
3%
9.
iPad Air
23,252
2%
10.
iPad 4th Gen
21,751
2%
11.
SM-G900V
18,662
1%
12.
iPad mini
17,937
1%
13.
iPad 3rd Gen
17,718
1%
14.
SCH-I545
16,856
1%
15.
SAMSUNG-SM-G900A
13,401
1%
16.
SAMSUNG-SGH-I337
12,068
1%
17.
SCH-I535
9,727
1%
18.
XT1080
8,961
1%
19.
iPad Air 2
7,983
1%
20.
SM-G900P
7,788
1%
21.
SAMSUNG-SM-N900A
7,778
1%
22.
SM-N900V
7,387
1%
23.
SM-G900T
6,185
<1%
24.
iPad mini with Retina display
6,146
<1%
25.
SPH-L710
6,042
<1%
26.
SAMSUNG-SGH-I747
5,979
<1%
27.
iPod touch
5,466
<1%
28.
SAMSUNG-SM-N910A
5,374
<1%
29.
SPH-L720
5,258
<1%
30.
SM-N910V
5,173
<1%
31.
SAMSUNG-SM-G870A
5,150
<1%
32.
SM-N900T
4,854
<1%
33.
SGH-M919
4,428
<1%
34.
SM-N900P
3,955
<1%
35.
iPhone 3GS
3,939
<1%
36.
SM-N910T
3,565
<1%
37.
SAMSUNG-SGH-I537
3,224
<1%
38.
SCH-I605
3,213
<1%
39.
XT1254
3,085
<1%
40.
SM-N910P
2,850
<1%
41.
XT907
2,779
<1%
42.
VS985 4G
2,745
<1%
43.
iPad
2,572
<1%
44.
VS980 4G
2,489
<1%
45.
DROID RAZR HD
2,413
<1%
46.
SCH-R970
2,359
<1%
47.
SPH-L720T
2,259
<1%
48.
SAMSUNG-SGH-I317
2,061
<1%
49.
HTC One_M8
2,019
<1%
50.
SGH-T999
1,985
<1%
51.
LG-D415
1,911
<1%
52.
Z970
1,906
<1%
53.
XT1031
1,867
<1%
54.
DROID RAZR
1,836
<1%
55.
LGMS323
1,831
<1%
56.
LG-D850
1,823
<1%
57.
SAMSUNG-SGH-I527
1,770
<1%
58.
HTC One
1,733
<1%
59.
SCH-S968C
1,733
<1%
60.
SPH-L900
1,617
<1%
61.
SM-G900R4
1,596
<1%
62.
HTCONE
1,555
<1%
63.
XT1030
1,531
<1%
64.
LG-E980
1,521
<1%
65.
LGL34C
1,447
<1%
66.
SGH-T889
1,428
<1%
67.
HTC6525LVW
1,403
<1%
68.
LG-LS980
1,379
<1%
69.
SCH-S738C
1,285
<1%
70.
SGH-T999L
1,257
<1%
71.
SM-G386T
1,232
<1%
72.
LGLS990
1,226
<1%
73.
LGLS740
1,214
<1%
74.
LG-D800
1,199
<1%
75.
Nexus 7
1,199
<1%
76.
Nexus 5
1,174
<1%
77.
SM-G386T1
1,159
<1%
78.
XT1028
1,157
<1%
79.
7040N
1,151
<1%
80.
HTC Desire 510
1,125
<1%
81.
D6616
1,104
<1%
82.
0PCV1
1,070
<1%
83.
LG-D851
1,063
<1%
84.
831C
1,058
<1%
See all 84 device models

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

connections Visits % Of Total
1.
WiFi
2,455,957
48%
2.
Cellular Data
2,352,929
46%
3.
No Internet Connection
276,725
5%

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

carriers Visits % Of Total
1.
WiFi
2,455,957
48%
2.
AT&T
1,105,649
22%
3.
Verizon Wireless
693,926
14%
4.
Disconnected
276,725
5%
5.
Sprintcom Inc
239,773
5%
6.
T-Mobile USA
185,111
4%
7.
Unspecified US Carrier
50,340
1%
8.
Unrecognized Carrier
22,240
<1%
9.
US Cellular
21,601
<1%
10.
Cellular South Inc
18,717
<1%
11.
nTELOS Communications Inc (Virginia PCS Alliance LC)
3,050
<1%
12.
Tracfone Wireless
2,890
<1%
13.
Metro PCS Wireless Inc
2,187
<1%
14.
Cricket Communications
1,736
<1%
15.
Virgin Mobile
821
<1%
16.
North East Cellular Inc.
807
<1%
17.
Bluegrass Cellular LLC
760
<1%
18.
GCI Communications Corp.
478
<1%
19.
Celcom (Malaysia) Berhad
344
<1%
20.
Iowa Wireless Services LLC
343
<1%
21.
Union Telephone Company
242
<1%
22.
Not Reported
225
<1%
23.
MTPCS LLC
205
<1%
24.
West Central Wireless
169
<1%
25.
Cellular Properties Inc.
143
<1%
26.
Carolina West Wireless
139
<1%
27.
New Mexico RSA 4 East Ltd. Partnership
113
<1%
28.
NetAmerica Alliance LLC
95
<1%
29.
Nextel Communications Inc
52
<1%
30.
Smith Bagley Inc, dba Cellular One
48
<1%
31.
MTN Nigeria Communications
47
<1%
32.
United Wireless Inc
43
<1%
33.
Sl Wireless LLC
43
<1%
34.
Pine Telephone Company dba Pine Cellular
42
<1%
35.
New Cell Inc. dba Cellcom
38
<1%
36.
Turkcell
35
<1%
37.
T-Mobile Deutschland GmbH
33
<1%
38.
Chariton Valley Communications Corp., Inc.
26
<1%
39.
Advantage Cellular Systems, Inc.
25
<1%
40.
Vodafone Libertel N.V.
23
<1%
41.
Bug Tussel Wireless LLC
21
<1%
42.
Commnet Wireless LLC
20
<1%
43.
Telus Mobility
19
<1%
44.
Movistar
18
<1%
45.
Ghana Telecom Mobile
16
<1%
46.
Illinois Valley Cellular
16
<1%
47.
Thumb Cellular LLC
15
<1%
48.
Mobilink
14
<1%
49.
Rogers Wireless
12
<1%
50.
East Kentucky Network LLC dba Appalachian Wireless
11
<1%
51.
UBET Wireless
10
<1%
52.
Consolidated Telcom
10
<1%
53.
Cablevision Systems Corporation
9
<1%
54.
Choice Phone LLC
9
<1%
55.
Econet Wireless Nigeria Ltd.
8
<1%
56.
Telcel
8
<1%
57.
Indigo Wireless, Inc.
7
<1%
58.
Optus Mobile Pty. Ltd.
7
<1%
59.
Saudi Telecom
7
<1%
60.
Spacefon
7
<1%
61.
LongLines Wireless
6
<1%
62.
Mossel (Jamaica) Ltd.
6
<1%
63.
Northeast Wireless Networks LLC
6
<1%
64.
China Mobile
5
<1%
65.
Inland Cellular Telephone Company
5
<1%
66.
Cincinnati Bell Wireless LLC
4
<1%
67.
EMTS
4
<1%
68.
Etihad Etisalat Company (Mobily)
4
<1%
69.
Wireless Communications Venture
3
<1%
70.
Fido Solutions
3
<1%
71.
Du
3
<1%
72.
CTC Telecom Inc
3
<1%
73.
Fastlink
3
<1%
74.
Hutchison 3G Austria GmbH
3
<1%
75.
RSA 1 Limited Partnership dba Cellular 29 Plus
3
<1%
76.
Telecom New Zealand - UMTS Ntework
2
<1%
77.
California RSA No3 Ltd Partnership dba Golden State Cellular
2
<1%
78.
Cellular Network Partnership dba Pioneer Cellular
2
<1%
79.
China Unicom
2
<1%
80.
CT GSM
2
<1%
81.
Alaska Communications
2
<1%
82.
Asia Cell
2
<1%
83.
Nep Cellcorp Inc.
2
<1%
84.
Nex-Tech Wireless LLC
2
<1%
85.
Northwest Missouri Cellular Limited Partnership
2
<1%
86.
O2 (Germany) GmbH & Co. OHG
2
<1%
87.
Omnitel Pronto Italia (OPI)
2
<1%
88.
Partner Communications Co. Ltd.
2
<1%
89.
SD Mobitel
2
<1%
90.
Telecom Italia Mobile (TIM)
1
<1%
91.
Telecommunication Company of Iran (TCI)
1
<1%
92.
Telefónica O2 Czech Republic a.s.
1
<1%
93.
Telkomsel
1
<1%
94.
Bharti Airtel Ltd., Delhi
1
<1%
95.
Verizon Dominicana S.A.
1
<1%
96.
VM Sarl
1
<1%
97.
Vodacom (Pty) Ltd.
1
<1%
98.
Vodafone Ltd.
1
<1%
99.
Vodafone New Zealand GSM Network
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 / 8.1.3
450,108
35%
2.
iOS / 8.2
318,372
25%
3.
Android / 4.4.2
144,180
11%
4.
iOS / 7.1.2
117,142
9%
5.
Android / 4.4.4
102,651
8%
6.
iOS / 8.1.2
78,422
6%
7.
iOS / 7.1.1
29,427
2%
8.
iOS / 8.1
26,776
2%
9.
iOS / 8.1.1
25,101
2%
10.
Android / 4.1.2
22,644
2%
11.
iOS / 8.0.2
17,660
1%
12.
Android / 5.0
15,820
1%
13.
iOS / 7.0.4
15,230
1%
14.
iOS / 7.1
13,764
1%
15.
iOS / 6.1.3
13,062
1%
16.
Android / 4.3
11,624
1%
17.
iOS / 8.0
8,534
1%
18.
Android / 5.0.1
8,226
1%
19.
iOS / 7.0.6
7,779
1%
20.
Android / 4.2.2
6,413
<1%
21.
Android / 4.0.4
6,401
<1%
22.
iOS / 6.1.6
5,120
<1%
23.
iOS / 5.1.1
4,261
<1%
24.
iOS / 7.0.3
3,850
<1%
25.
iOS / 7.0.2
3,760
<1%
26.
iOS / 7.0
3,410
<1%
27.
iOS / 6.1.4
2,961
<1%
28.
Android / 5.0.2
2,828
<1%
29.
Android / 2.3.6
2,450
<1%
30.
Android / 4.1.1
2,274
<1%
31.
iOS / 6.0.1
1,864
<1%
32.
Android / 4.4.3
1,835
<1%
33.
Android / 4.4
1,579
<1%
34.
iOS / 6.1.2
1,170
<1%
35.
Android / KOT49H
909
<1%
36.
iOS / 6.0
897
<1%
37.
Android / 23.0.D.1.123
887
<1%
38.
iOS / 6.1
799
<1%
39.
Android / 2.3.5
793
<1%
40.
Android / 5.1
759
<1%
41.
Android / 4.0.3
704
<1%
42.
Android / 2.3.4
598
<1%
43.
Android / JZO54K
500
<1%
44.
Android / 4.2.1
447
<1%
45.
Android / KTU84P
305
<1%
46.
Android / IMM76D
293
<1%
47.
iOS / 5.0.1
272
<1%
48.
iOS / 5.1
258
<1%
49.
iOS / 6.0.2
228
<1%
50.
iOS / 8.3
218
<1%
51.
Android / 2.3.7
204
<1%
52.
Android / JSS15J
201
<1%
53.
Android / FROYO
200
<1%
54.
Android / 2.3.3
180
<1%
55.
Android / GINGERBREAD
170
<1%
56.
Android / IMM76I
144
<1%
57.
iOS / 7.0.1
131
<1%
58.
Android / LRX22G
116
<1%
59.
Android / JDQ39
111
<1%
60.
Android / 9.8.2O-72_VZW-16-5
100
<1%
61.
iOS / 6.1.1
89
<1%
62.
Android / SU6-7
88
<1%
63.
Android / KDA20.62-15
84
<1%
64.
iOS / 5.0
75
<1%
65.
Android / KDA20.62-15.1
68
<1%
66.
Android / FRG83G
67
<1%
67.
Android / IML74K
61
<1%
68.
Android / JRO03C
51
<1%
69.
Android / IML77
43
<1%
70.
iOS / 6.1.5
42
<1%
71.
Android / MNC
41
<1%
72.
Android / GRK39F
39
<1%
73.
Android / IMM76L
39
<1%
74.
Android / GRJ22
37
<1%
75.
Android / FRG83
32
<1%
76.
Android / 3.2.1
30
<1%
77.
Android / 4.3.1
29
<1%
78.
Android / HuaweiH881C
21
<1%
79.
Android / HuaweiU8800-51
20
<1%
80.
Android / GRJ90
19
<1%
81.
Android / 3.2
18
<1%
82.
Android / C771M150
16
<1%
83.
Android / C811M070
16
<1%
84.
Android / GRI40
16
<1%
85.
Android / HuaweiU8665B037
15
<1%
86.
Android / KXB21.14-L1.57
15
<1%
87.
Android / 3.1
14
<1%
88.
Android / 9.8.0Q-97_MB886_FFW-28
14
<1%
89.
Android / 4.5.1_57_DX9-10
12
<1%
90.
Android / HuaweiY301A1
12
<1%
91.
Android / KOT49I.VS98027A
12
<1%
92.
Android / LRX22C
12
<1%
93.
Android / 3.4.2-125_KOB_CCI-6
11
<1%
94.
Android / 9.8.2O-72_VZW-18-9
11
<1%
95.
Android / FRK76
11
<1%
96.
Android / HuaweiU8730
11
<1%
97.
Android / KTU84L
11
<1%
98.
Android / 9.8.2O-72_VZW-22
10
<1%
99.
Android / LRX21T
10
<1%
100.
Android / ZV5.GWK74
10
<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.   40%
Metro   16%
Cricket   <1%
2.9.4 (iOS)   35%
2.9.3 (iOS)   20%
2.8 (Android)   13%
2.8.1 (Android)   13%
2.9.2 (iOS)   12%
2.8.1 (iOS)   3%
2.7.3 (iOS)   1%
2.9.1 (iOS)   1%
2.8 (iOS)   1%
2.7.2 (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.