WhitePages Mobile App Traffic and Demographic Statistics by Quantcast

 

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Rankings

WhitePages Network

Monthly Uniques
35.5M US 38.7M Global

WhitePages Mobile App

1.4M US 1.4M Global
  •  
  • Quantified

    Directly Measured Data

Related Links


Updated Apr 24, 2014 • Next: Apr 25, 2014 by 9AM PDT
Last Month
For Mar 25, 2014 - Apr 23, 2014
Uniques Visits Installs Upgrades
WhitePages 2.8 (iOS) 903,456 3,857,970 255,066 297,706
WhitePages 2.6 (Android) 362,359 2,008,147 162,256 0
WhitePages 2.7.3 (iOS) 116,904 477,822 24,661 4,425
WhitePages 2.7.2 (iOS) 28,276 122,753 7,233 162
WhitePages 2.7.1 (iOS) 6,494 28,377 1,640 5
See all 17 versions

US Demographics:   [ Mobile App ]

See All
Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
index
 
 
Male
 
  95
Female
 
 
104
 
 
 
< 18
 
  69
18-24
 
  91
25-34
 
  97
35-44
 
 
117
45-54
 
 
109
55-64
 
 
120
65+
 
 
109
 
 
 
No Kids
 
 
136
Has Kids
 
  63
 
US average
index
 
 
$0-50k
 
  98
$50-100k
 
 
108
$100-150k
 
  98
$150k+
 
  90
 
 
 
No College
 
  82
College
 
 
119
Grad School
 
 
102
 
 
 
Caucasian
 
 
107
African American
 
  98
Asian
 
  62
Hispanic
 
  67
Other
 
  96
 
US average


Updated Apr 23, 2014 • Next: Apr 30, 2014 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 been hidden by the owner.

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   143,254
2-3   94,026
4-7   55,593
8-15   36,206
16-31   22,913
32-63   13,366
64-127   7,005
128-255   3,381
256-511   1,428
512+   917
1   447,025
2-3   273,484
4-7   159,163
8-15   101,360
16-31   60,934
32-63   31,717
64-127   14,206
128-255   5,328
256-511   1,609
512+   498

Top Countries

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

countries Visits % Of Total
1.
United States
6,497,183
99%
2.
Canada
23,411
<1%
3.
Jamaica
12,346
<1%
4.
India
6,224
<1%
5.
Australia
3,889
<1%
6.
Saudi Arabia
2,159
<1%
7.
Mexico
2,005
<1%
8.
United Kingdom
1,349
<1%
9.
Puerto Rico
1,334
<1%
10.
Japan
1,171
<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 5
271,399
20%
2.
iPhone 4S
252,239
18%
3.
iPhone 5S
153,998
11%
4.
iPhone 4
143,726
10%
5.
iPhone 5C
57,224
4%
6.
iPad 2
47,312
3%
7.
iPad 4th Gen
20,778
2%
8.
iPad 3rd Gen
20,440
1%
9.
SCH-I535
19,927
1%
10.
SCH-I545
16,719
1%
11.
iPad mini
16,401
1%
12.
SAMSUNG-SGH-I337
15,996
1%
13.
SPH-L710
15,778
1%
14.
iPhone 3GS
14,423
1%
15.
SAMSUNG-SGH-I747
13,936
1%
16.
iPad Air
13,637
1%
17.
iPod touch
11,060
1%
18.
DROID RAZR
9,842
1%
19.
SPH-L720
9,364
1%
20.
SAMSUNG-SM-N900A
8,186
1%
21.
SGH-M919
7,998
1%
22.
SM-N900V
6,690
<1%
23.
XT907
6,010
<1%
24.
iPad
5,984
<1%
25.
XT1080
5,865
<1%
26.
SGH-T999
5,677
<1%
27.
SM-N900T
5,619
<1%
28.
SCH-I605
5,608
<1%
29.
DROID RAZR HD
5,060
<1%
30.
SAMSUNG-SGH-I537
4,833
<1%
31.
SAMSUNG-SGH-I317
4,501
<1%
32.
SCH-S738C
4,427
<1%
33.
SM-N900P
4,151
<1%
34.
SPH-L900
3,609
<1%
35.
SGH-T989
3,607
<1%
36.
LG-MS770
3,434
<1%
37.
iPad mini with Retina display
3,241
<1%
38.
SPH-D710
3,221
<1%
39.
HTC One
3,098
<1%
40.
SGH-T599N
2,936
<1%
41.
ALCATEL ONE TOUCH Fierce
2,853
<1%
42.
SGH-T889
2,819
<1%
43.
SCH-R970
2,692
<1%
44.
HTCONE
2,582
<1%
45.
SGH-T999L
2,399
<1%
46.
SCH-R530U
2,121
<1%
47.
C5170
2,063
<1%
48.
LG-E980
2,063
<1%
49.
LG-LS980
2,036
<1%
50.
Galaxy Nexus
2,017
<1%
51.
VS980 4G
1,919
<1%
52.
SCH-R740C
1,898
<1%
53.
SAMSUNG-SGH-I527
1,878
<1%
54.
Nexus 5
1,606
<1%
55.
SPH-M830
1,574
<1%
56.
VS840 4G
1,556
<1%
57.
HTC6435LVW
1,554
<1%
58.
LG-P769
1,547
<1%
59.
SAMSUNG-SGH-I727
1,530
<1%
60.
SPH-D710BST
1,530
<1%
61.
DROID4
1,502
<1%
62.
EVO
1,413
<1%
63.
SPH-M840
1,406
<1%
64.
LG-VS410PP
1,391
<1%
65.
Huawei Y301A1
1,387
<1%
66.
DROID BIONIC
1,384
<1%
67.
SCH-S720C
1,364
<1%
68.
MB886
1,340
<1%
69.
Z796C
1,286
<1%
70.
HTC6500LVW
1,285
<1%
71.
HTC One X
1,257
<1%
72.
XT1030
1,242
<1%
73.
ZTE_N9511
1,232
<1%
74.
SAMSUNG-SM-G900A
1,227
<1%
75.
SAMSUNG-SGH-I717
1,178
<1%
76.
LGMS769
1,177
<1%
77.
SAMSUNG-SM-G730A
1,168
<1%
78.
Nexus 4
1,110
<1%
79.
LG-D800
1,103
<1%
80.
LG-LG730
1,083
<1%
81.
LG-D801
1,058
<1%
82.
XT1031
1,047
<1%
83.
LG-L38C
982
<1%
84.
LG-LS970
982
<1%
85.
N861
945
<1%
See all 85 device models

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

connections Visits % Of Total
1.
Cellular Data
3,497,255
54%
2.
WiFi
2,910,745
45%
3.
No Internet Connection
89,183
1%

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

carriers Visits % Of Total
1.
WiFi
2,910,745
45%
2.
AT&T
1,554,228
24%
3.
Verizon Wireless
907,751
14%
4.
Sprintcom Inc
403,768
6%
5.
T-Mobile USA
250,373
4%
6.
Unspecified US Carrier
177,286
3%
7.
Disconnected
89,183
1%
8.
Metro PCS Wireless Inc
55,338
1%
9.
Unrecognized Carrier
50,938
1%
10.
Cricket Communications
25,152
<1%
11.
Cellular South Inc
23,852
<1%
12.
US Cellular
23,441
<1%
13.
Tracfone Wireless
5,563
<1%
14.
nTELOS Communications Inc (Virginia PCS Alliance LC)
3,847
<1%
15.
Not Reported
3,102
<1%
16.
Bluegrass Cellular LLC
2,456
<1%
17.
Virgin Mobile
1,849
<1%
18.
Celcom (Malaysia) Berhad
1,220
<1%
19.
North East Cellular Inc.
1,013
<1%
20.
Cincinnati Bell Wireless LLC
860
<1%
21.
AWCC
655
<1%
22.
GCI Communications Corp.
625
<1%
23.
Iowa Wireless Services LLC
481
<1%
24.
MTPCS LLC
424
<1%
25.
Cellular Properties Inc.
313
<1%
26.
West Central Wireless
294
<1%
27.
Union Telephone Company
282
<1%
28.
Carolina West Wireless
250
<1%
29.
Nextel Communications Inc
238
<1%
30.
New Mexico RSA 4 East Ltd. Partnership
157
<1%
31.
Pine Telephone Company dba Pine Cellular
137
<1%
32.
Chariton Valley Communications Corp., Inc.
96
<1%
33.
East Kentucky Network LLC dba Appalachian Wireless
90
<1%
34.
Vodafone Libertel N.V.
82
<1%
35.
New Cell Inc. dba Cellcom
75
<1%
36.
Saudi Telecom
72
<1%
37.
T-Mobile Deutschland GmbH
64
<1%
38.
Kaplan Telephone Company Inc.
54
<1%
39.
Smith Bagley Inc, dba Cellular One
46
<1%
40.
Illinois Valley Cellular
42
<1%
41.
Rogers Wireless
40
<1%
42.
Choice Phone LLC
38
<1%
43.
Advantage Cellular Systems, Inc.
35
<1%
44.
Commnet Wireless LLC
34
<1%
45.
Inland Cellular Telephone Company
30
<1%
46.
Nex-Tech Wireless LLC
27
<1%
47.
Cellular Network Partnership dba Pioneer Cellular
26
<1%
48.
Consolidated Telcom
24
<1%
49.
Alltel
23
<1%
50.
Northwest Missouri Cellular Limited Partnership
23
<1%
51.
Bug Tussel Wireless LLC
21
<1%
52.
United Wireless Inc
19
<1%
53.
Thumb Cellular LLC
15
<1%
54.
Telecom Italia Mobile (TIM)
14
<1%
55.
Wisconsin RSA#7 Ltd Patnership
13
<1%
56.
SD Mobitel
13
<1%
57.
Etihad Etisalat Company (Mobily)
12
<1%
58.
T-Mobile Austria GmbH
12
<1%
59.
UBET Wireless
11
<1%
60.
Telcel
11
<1%
61.
Movistar
10
<1%
62.
Viva
9
<1%
63.
Indigo Wireless, Inc.
9
<1%
64.
Jasper Wireless Inc.
9
<1%
65.
TotalSolutions Telecom LLC
8
<1%
66.
Alaska Communications
8
<1%
67.
Verizon Dominicana S.A.
7
<1%
68.
Airadigm Communications
7
<1%
69.
Digicel Ltd
7
<1%
70.
LongLines Wireless
7
<1%
71.
MTA Communications dba MTA Wireless
7
<1%
72.
RSA 1 Limited Partnership dba Cellular 29 Plus
7
<1%
73.
Rural Cellular Corporation
7
<1%
74.
Keystane Wireless LLC
6
<1%
75.
Areeba-Sudan
6
<1%
76.
Aria
6
<1%
77.
Meteor Mobile Communications Ltd.
6
<1%
78.
MTN Nigeria Communications
6
<1%
79.
Tunisie Telecom
5
<1%
80.
Vodafone Ltd.
5
<1%
81.
Econet Wireless Nigeria Ltd.
5
<1%
82.
Bell Mobility
5
<1%
83.
Telecommunication Company of Iran (TCI)
4
<1%
84.
Telenor Pakistan
4
<1%
85.
Telsim GSM
4
<1%
86.
Telus Mobility
4
<1%
87.
Warid Telecom
4
<1%
88.
Chungwa Telecom
4
<1%
89.
Three
4
<1%
90.
Corr Wireless Communications LLC
4
<1%
91.
CTC Telecom Inc
4
<1%
92.
T-Mobile UK
4
<1%
93.
Telkomsel
3
<1%
94.
Wireless Communications Venture
3
<1%
95.
Du
3
<1%
96.
California RSA No3 Ltd Partnership dba Golden State Cellular
3
<1%
97.
Cellcom Israel Ltd.
3
<1%
98.
China Mobile
3
<1%
99.
ETEX Communications dba ETEX Wireless
3
<1%
100.
Etisalat
3
<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 / 7.1
659,266
48%
2.
Android / JSS15J
117,361
8%
3.
iOS / 7.0.4
107,962
8%
4.
iOS / 7.0.6
100,580
7%
5.
iOS / 6.1.3
64,094
5%
6.
Android / JZO54K
58,964
4%
7.
Android / KOT49H
40,559
3%
8.
Android / JDQ39
24,461
2%
9.
iOS / 7.0.3
20,722
2%
10.
iOS / 7.0.2
19,639
1%
11.
iOS / 7.0
17,104
1%
12.
iOS / 6.1.4
15,578
1%
13.
iOS / 6.1.6
14,636
1%
14.
Android / IMM76D
14,539
1%
15.
iOS / 5.1.1
13,020
1%
16.
Android / GINGERBREAD
11,920
1%
17.
iOS / 7.1.1
11,629
1%
18.
Android / IMM76I
10,875
1%
19.
Android / 9.8.2O-72_VZW-16-5
9,521
1%
20.
iOS / 6.0.1
7,900
1%
21.
Android / SU2-3
7,073
1%
22.
Android / 9.8.1Q-94
6,079
<1%
23.
iOS / 6.1.2
5,584
<1%
24.
Android / JRO03C
4,874
<1%
25.
Android / 9.8.1Q-94-1
4,827
<1%
26.
Android / JDQ39B
4,611
<1%
27.
Android / GRK39F
4,321
<1%
28.
iOS / 6.0
4,023
<1%
29.
Android / IML77
3,669
<1%
30.
Android / IML74K
3,324
<1%
31.
iOS / 6.1
3,272
<1%
32.
Android / GRJ22
2,828
<1%
33.
Android / IMM76L
1,732
<1%
34.
Android / GRJ90
1,593
<1%
35.
Android / JRO03L
1,566
<1%
36.
iOS / 5.0.1
1,411
<1%
37.
Android / HuaweiY301A1
1,387
<1%
38.
Android / 9.8.2O-72_VZW-22
1,314
<1%
39.
Android / 9.8.0Q-97_MB886_FFW-20
1,278
<1%
40.
Android / KOT49I.LS980ZVC
1,153
<1%
41.
iOS / 5.1
1,100
<1%
42.
iOS / 6.0.2
1,035
<1%
43.
Android / 9.8.2O-72_VZW-18-9
952
<1%
44.
Android / FROYO
909
<1%
45.
Android / KOT49I.D80120a
908
<1%
46.
Android / KXA20.16-1.25.2
807
<1%
47.
Android / KXA20.16-1.31.1
777
<1%
48.
Android / GRI40
764
<1%
49.
Android / KOT49I.D80020c
725
<1%
50.
iOS / 6.1.5
680
<1%
51.
Android / 9.8.2Q-50_SLS-13
658
<1%
52.
Android / JOP40D
636
<1%
53.
Android / HuaweiM931
630
<1%
54.
Android / 4.5.1_57_DX9-10
627
<1%
55.
Android / HuaweiU8665B037
623
<1%
56.
Android / HuaweiU8686
615
<1%
57.
Android / C811M050
595
<1%
58.
Android / HuaweiY301A2
578
<1%
59.
Android / 10.3.1.E.0.191
560
<1%
60.
Android / KXB20.9-1.10-1.20
559
<1%
61.
Android / KXB20.9-1.10-1.18-1.1
555
<1%
62.
Android / 4.5.1A-DTN-200-18
529
<1%
63.
Android / 6.7.2-226-EDICS-10
526
<1%
64.
Android / HuaweiH881C
525
<1%
65.
Android / 9.8.2O-72_VZW-18-8
499
<1%
66.
Android / C811M040
479
<1%
67.
Android / 14.2.C.0.159
454
<1%
68.
iOS / 7.0.1
454
<1%
69.
iOS / 6.1.1
429
<1%
70.
Android / KVT49L
425
<1%
71.
Android / KXA20.16-1.27
423
<1%
72.
Android / 4.5.1A-1_SUN-254_13
419
<1%
73.
Android / KXB20.9-1.10-1.18
415
<1%
74.
Android / ZV5.GWK74
403
<1%
75.
Android / KXA20.16-1.32
399
<1%
76.
Android / JWR67B
353
<1%
77.
Android / KOT49I.D80020k
347
<1%
78.
Android / ZVK.IMM76D
330
<1%
79.
Android / FRG83G
324
<1%
80.
Android / HuaweiU8730
323
<1%
81.
Android / 13.9.0Q2.X-178-RW-17
274
<1%
82.
iOS / 5.0
272
<1%
83.
Android / 9.8.2O-72_VZW-16
267
<1%
84.
Android / 14.10.0Q3.X-84-9
262
<1%
85.
Android / KOT49I.VS98024A
248
<1%
86.
Android / C771M150
245
<1%
87.
Android / 9.8.2Q-50_SLS-14
243
<1%
88.
Android / 4.5.1A_SUN_USC_19.0
241
<1%
89.
Android / 9.8.2Q-122_XT897_FFW-5
238
<1%
90.
Android / GWK74
233
<1%
91.
Android / 5.5.1_84_D3G-66_M2-10
229
<1%
92.
Android / HuaweiU8680
228
<1%
93.
Android / HuaweiH866C
216
<1%
94.
Android / FRG83
212
<1%
95.
Android / KXB20.9-1.10-1.9
181
<1%
96.
Android / 4.5.1A-129_OLY-145
155
<1%
97.
Android / HuaweiM886
153
<1%
98.
Android / 9.1.F.1.120
150
<1%
99.
Android / 13.11.1Q2.X-69-3
147
<1%
100.
Android / HuaweiH868C
146
<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   100%
Metro   <1%
Cricket   <1%
2.8 (iOS)   59%
2.6 (Android)   31%
2.7.3 (iOS)   7%
2.7.2 (iOS)   2%
2.7.1 (iOS)   <1%
2.7 (iOS)   <1%
2.7 (Android)   <1%
1.0.45 (Android)   <1%
1.0.41 (Android)   <1%
1.0.47 (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.