WhitePages Mobile App Traffic and Demographic Statistics by Quantcast

 

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Rankings

WhitePages Network

Monthly Uniques
36.0M US 39.6M Global

WhitePages Mobile App

1.4M US 1.4M Global
  •  
  • Quantified

    Directly Measured Data

Related Links


Updated Apr 17, 2014 • Next: Apr 18, 2014 by 9AM PDT
Last Month
For Mar 18, 2014 - Apr 16, 2014
Uniques Visits Installs Upgrades
WhitePages 2.8 (iOS) 888,656 3,762,942 252,888 413,992
WhitePages 2.6 (Android) 360,280 2,029,918 162,808 0
WhitePages 2.7.3 (iOS) 144,844 569,215 29,197 5,741
WhitePages 2.7.2 (iOS) 30,001 129,446 7,589 161
WhitePages 2.7.1 (iOS) 6,785 29,530 1,746 5
See all 15 versions

US Demographics:   [ Mobile App ]

See All
Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
index
 
 
Male
 
  92
Female
 
 
108
 
 
 
< 18
 
  89
18-24
 
  83
25-34
 
 
102
35-44
 
 
113
45-54
 
 
107
55-64
 
 
106
65+
 
  92
 
 
 
No Kids
 
 
136
Has Kids
 
  63
 
US average
index
 
 
$0-50k
 
 
100
$50-100k
 
 
100
$100-150k
 
  99
$150k+
 
 
100
 
 
 
No College
 
  79
College
 
 
114
Grad School
 
 
126
 
 
 
Caucasian
 
 
110
African American
 
  90
Asian
 
  55
Hispanic
 
  52
Other
 
  98
 
US average


Updated Apr 12, 2014 • Next: Apr 23, 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   141,890
2-3   93,254
4-7   54,991
8-15   35,711
16-31   22,496
32-63   13,333
64-127   6,937
128-255   3,334
256-511   1,394
512+   898
1   450,741
2-3   276,212
4-7   160,821
8-15   101,754
16-31   60,062
32-63   30,510
64-127   13,454
128-255   4,790
256-511   1,430
512+   437

Top Countries

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

countries Visits % Of Total
1.
United States
6,523,013
99%
2.
Canada
23,680
<1%
3.
Jamaica
12,019
<1%
4.
India
6,603
<1%
5.
Australia
3,830
<1%
6.
Saudi Arabia
2,082
<1%
7.
Mexico
1,881
<1%
8.
United Kingdom
1,297
<1%
9.
Puerto Rico
1,246
<1%
10.
Islamic Republic of Iran
707
<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
272,055
20%
2.
iPhone 4S
255,924
18%
3.
iPhone 5S
151,563
11%
4.
iPhone 4
145,915
10%
5.
iPhone 5C
55,744
4%
6.
iPad 2
48,435
3%
7.
iPad 4th Gen
21,123
2%
8.
iPad 3rd Gen
21,058
2%
9.
SCH-I535
19,867
1%
10.
iPad mini
16,703
1%
11.
SCH-I545
16,335
1%
12.
SPH-L710
15,825
1%
13.
SAMSUNG-SGH-I337
15,792
1%
14.
iPhone 3GS
14,713
1%
15.
SAMSUNG-SGH-I747
13,957
1%
16.
iPad Air
13,679
1%
17.
iPod touch
11,276
1%
18.
DROID RAZR
9,931
1%
19.
SPH-L720
9,400
1%
20.
SGH-M919
7,967
1%
21.
SAMSUNG-SM-N900A
7,933
1%
22.
SM-N900V
6,445
<1%
23.
iPad
6,171
<1%
24.
XT907
6,072
<1%
25.
SGH-T999
5,771
<1%
26.
XT1080
5,628
<1%
27.
SM-N900T
5,566
<1%
28.
SCH-I605
5,519
<1%
29.
DROID RAZR HD
5,102
<1%
30.
SAMSUNG-SGH-I537
4,721
<1%
31.
SAMSUNG-SGH-I317
4,513
<1%
32.
SCH-S738C
4,338
<1%
33.
SM-N900P
4,057
<1%
34.
SGH-T989
3,674
<1%
35.
SPH-L900
3,563
<1%
36.
LG-MS770
3,535
<1%
37.
SPH-D710
3,309
<1%
38.
iPad mini with Retina display
3,231
<1%
39.
HTC One
3,118
<1%
40.
SGH-T599N
2,951
<1%
41.
SGH-T889
2,859
<1%
42.
ALCATEL ONE TOUCH Fierce
2,759
<1%
43.
SCH-R970
2,669
<1%
44.
HTCONE
2,581
<1%
45.
SGH-T999L
2,394
<1%
46.
C5170
2,121
<1%
47.
SCH-R530U
2,070
<1%
48.
LG-E980
2,043
<1%
49.
Galaxy Nexus
2,023
<1%
50.
LG-LS980
1,992
<1%
51.
SCH-R740C
1,904
<1%
52.
VS980 4G
1,833
<1%
53.
SAMSUNG-SGH-I527
1,800
<1%
54.
VS840 4G
1,592
<1%
55.
SPH-M830
1,589
<1%
56.
LG-P769
1,580
<1%
57.
SPH-D710BST
1,576
<1%
58.
HTC6435LVW
1,547
<1%
59.
DROID4
1,546
<1%
60.
Nexus 5
1,533
<1%
61.
SAMSUNG-SGH-I727
1,532
<1%
62.
SPH-M840
1,408
<1%
63.
DROID BIONIC
1,401
<1%
64.
EVO
1,401
<1%
65.
SCH-S720C
1,382
<1%
66.
LG-VS410PP
1,375
<1%
67.
Huawei Y301A1
1,342
<1%
68.
MB886
1,336
<1%
69.
HTC6500LVW
1,275
<1%
70.
HTC One X
1,264
<1%
71.
Z796C
1,257
<1%
72.
XT1030
1,244
<1%
73.
SAMSUNG-SGH-I717
1,214
<1%
74.
LGMS769
1,180
<1%
75.
ZTE_N9511
1,151
<1%
76.
Nexus 4
1,144
<1%
77.
SAMSUNG-SM-G730A
1,121
<1%
78.
LG-LG730
1,098
<1%
79.
LG-D800
1,032
<1%
80.
LG-D801
1,024
<1%
81.
XT1031
993
<1%
82.
LG-LS970
980
<1%
83.
ZTE N9120
958
<1%
84.
N861
955
<1%
85.
LG-L38C
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
3,518,888
54%
2.
WiFi
2,915,230
45%
3.
No Internet Connection
88,895
1%

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

carriers Visits % Of Total
1.
WiFi
2,915,230
45%
2.
AT&T
1,555,726
24%
3.
Verizon Wireless
905,594
14%
4.
Sprintcom Inc
409,180
6%
5.
T-Mobile USA
245,321
4%
6.
Unspecified US Carrier
177,123
3%
7.
Disconnected
88,895
1%
8.
Metro PCS Wireless Inc
75,808
1%
9.
Unrecognized Carrier
51,086
1%
10.
Cricket Communications
27,072
<1%
11.
Cellular South Inc
23,843
<1%
12.
US Cellular
22,918
<1%
13.
Tracfone Wireless
5,512
<1%
14.
nTELOS Communications Inc (Virginia PCS Alliance LC)
3,939
<1%
15.
Not Reported
3,136
<1%
16.
Bluegrass Cellular LLC
2,481
<1%
17.
Virgin Mobile
1,859
<1%
18.
Celcom (Malaysia) Berhad
1,209
<1%
19.
North East Cellular Inc.
971
<1%
20.
Cincinnati Bell Wireless LLC
897
<1%
21.
AWCC
625
<1%
22.
GCI Communications Corp.
614
<1%
23.
Iowa Wireless Services LLC
471
<1%
24.
MTPCS LLC
379
<1%
25.
Carolina West Wireless
341
<1%
26.
Cellular Properties Inc.
312
<1%
27.
West Central Wireless
287
<1%
28.
Union Telephone Company
269
<1%
29.
Nextel Communications Inc
243
<1%
30.
Pine Telephone Company dba Pine Cellular
147
<1%
31.
New Mexico RSA 4 East Ltd. Partnership
143
<1%
32.
East Kentucky Network LLC dba Appalachian Wireless
101
<1%
33.
Chariton Valley Communications Corp., Inc.
99
<1%
34.
Vodafone Libertel N.V.
84
<1%
35.
Saudi Telecom
82
<1%
36.
New Cell Inc. dba Cellcom
71
<1%
37.
T-Mobile Deutschland GmbH
66
<1%
38.
Kaplan Telephone Company Inc.
54
<1%
39.
Smith Bagley Inc, dba Cellular One
48
<1%
40.
Commnet Wireless LLC
38
<1%
41.
Rogers Wireless
38
<1%
42.
Choice Phone LLC
37
<1%
43.
Inland Cellular Telephone Company
37
<1%
44.
Illinois Valley Cellular
34
<1%
45.
Advantage Cellular Systems, Inc.
33
<1%
46.
Cellular Network Partnership dba Pioneer Cellular
27
<1%
47.
Northwest Missouri Cellular Limited Partnership
27
<1%
48.
Alltel
25
<1%
49.
Consolidated Telcom
25
<1%
50.
Nex-Tech Wireless LLC
21
<1%
51.
Bug Tussel Wireless LLC
19
<1%
52.
Thumb Cellular LLC
18
<1%
53.
United Wireless Inc
15
<1%
54.
TotalSolutions Telecom LLC
14
<1%
55.
UBET Wireless
12
<1%
56.
Movistar
12
<1%
57.
T-Mobile Austria GmbH
12
<1%
58.
Jasper Wireless Inc.
10
<1%
59.
Wisconsin RSA#7 Ltd Patnership
9
<1%
60.
Etihad Etisalat Company (Mobily)
9
<1%
61.
Rural Cellular Corporation
9
<1%
62.
Telcel
9
<1%
63.
Viva
8
<1%
64.
Etisalat
8
<1%
65.
MTN Nigeria Communications
8
<1%
66.
SD Mobitel
8
<1%
67.
Telecom Italia Mobile (TIM)
7
<1%
68.
EMTS
7
<1%
69.
Alaska Communications
7
<1%
70.
Indigo Wireless, Inc.
7
<1%
71.
Keystane Wireless LLC
7
<1%
72.
LongLines Wireless
7
<1%
73.
RSA 1 Limited Partnership dba Cellular 29 Plus
7
<1%
74.
Bell Mobility
7
<1%
75.
Verizon Dominicana S.A.
6
<1%
76.
Airadigm Communications
6
<1%
77.
Econet Wireless Nigeria Ltd.
6
<1%
78.
Areeba-Sudan
6
<1%
79.
Meteor Mobile Communications Ltd.
6
<1%
80.
Telenor Pakistan
5
<1%
81.
Tunisie Telecom
5
<1%
82.
Wireless Communications Venture
5
<1%
83.
Cellcom Israel Ltd.
5
<1%
84.
Digicel Ltd
5
<1%
85.
Elkhart Telephone Co. Inc. dba Epic Touch Co.
5
<1%
86.
Mobile Telesystems
5
<1%
87.
Telsim GSM
4
<1%
88.
Telus Mobility
4
<1%
89.
Warid Telecom
4
<1%
90.
Three
4
<1%
91.
Aria
4
<1%
92.
S.F.R.
4
<1%
93.
T-Mobile UK
4
<1%
94.
Telecommunication Company of Iran (TCI)
3
<1%
95.
Turkcell
3
<1%
96.
Vodafone
3
<1%
97.
Vodafone Ltd.
3
<1%
98.
Chungwa Telecom
3
<1%
99.
California RSA No3 Ltd Partnership dba Golden State Cellular
3
<1%
100.
China Mobile
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
638,283
46%
2.
iOS / 7.0.6
136,800
10%
3.
iOS / 7.0.4
118,715
9%
4.
Android / JSS15J
117,424
8%
5.
iOS / 6.1.3
66,129
5%
6.
Android / JZO54K
58,792
4%
7.
Android / KOT49H
36,172
3%
8.
Android / JDQ39
24,376
2%
9.
iOS / 7.0.3
22,011
2%
10.
iOS / 7.0.2
20,525
1%
11.
iOS / 7.0
17,709
1%
12.
iOS / 6.1.4
16,036
1%
13.
iOS / 6.1.6
14,721
1%
14.
Android / IMM76D
14,662
1%
15.
iOS / 5.1.1
13,409
1%
16.
Android / GINGERBREAD
12,153
1%
17.
Android / IMM76I
11,085
1%
18.
Android / 9.8.2O-72_VZW-16-5
9,605
1%
19.
iOS / 6.0.1
8,118
1%
20.
Android / SU2-3
6,841
<1%
21.
Android / 9.8.1Q-94
6,146
<1%
22.
iOS / 6.1.2
5,707
<1%
23.
Android / JDQ39B
5,015
<1%
24.
Android / 9.8.1Q-94-1
4,861
<1%
25.
Android / JRO03C
4,830
<1%
26.
Android / GRK39F
4,297
<1%
27.
iOS / 6.0
4,042
<1%
28.
Android / IML77
3,751
<1%
29.
Android / IML74K
3,421
<1%
30.
iOS / 6.1
3,377
<1%
31.
Android / GRJ22
2,883
<1%
32.
Android / IMM76L
1,733
<1%
33.
Android / GRJ90
1,697
<1%
34.
Android / JRO03L
1,645
<1%
35.
iOS / 5.0.1
1,451
<1%
36.
Android / HuaweiY301A1
1,342
<1%
37.
Android / 9.8.2O-72_VZW-22
1,326
<1%
38.
Android / 9.8.0Q-97_MB886_FFW-20
1,272
<1%
39.
iOS / 5.1
1,143
<1%
40.
iOS / 6.0.2
1,047
<1%
41.
Android / 9.8.2O-72_VZW-18-9
984
<1%
42.
Android / FROYO
921
<1%
43.
Android / KOT49I.D80120a
827
<1%
44.
Android / KXA20.16-1.25.2
777
<1%
45.
Android / GRI40
775
<1%
46.
iOS / 6.1.5
771
<1%
47.
Android / KOT49I.LS980ZVC
766
<1%
48.
Android / KOT49I.D80020c
711
<1%
49.
Android / KXA20.16-1.31.1
678
<1%
50.
Android / 4.5.1_57_DX9-10
657
<1%
51.
Android / 9.8.2Q-50_SLS-13
649
<1%
52.
Android / HuaweiM931
649
<1%
53.
Android / HuaweiU8665B037
634
<1%
54.
Android / HuaweiU8686
627
<1%
55.
Android / JOP40D
614
<1%
56.
Android / C811M040
599
<1%
57.
Android / HuaweiY301A2
591
<1%
58.
Android / 10.3.1.E.0.191
574
<1%
59.
Android / 4.5.1A-DTN-200-18
550
<1%
60.
Android / 6.7.2-226-EDICS-10
535
<1%
61.
Android / KXB20.9-1.10-1.20
528
<1%
62.
Android / 9.8.2O-72_VZW-18-8
509
<1%
63.
Android / HuaweiH881C
509
<1%
64.
Android / KXB20.9-1.10-1.18
495
<1%
65.
Android / C811M050
475
<1%
66.
iOS / 7.0.1
446
<1%
67.
Android / 14.2.C.0.159
445
<1%
68.
Android / 4.5.1A-1_SUN-254_13
441
<1%
69.
Android / 13.11.1Q2.X-69-3
418
<1%
70.
iOS / 6.1.1
410
<1%
71.
Android / ZV5.GWK74
406
<1%
72.
Android / KXA20.16-1.27
404
<1%
73.
Android / KVT49L
385
<1%
74.
Android / KXA20.16-1.32
374
<1%
75.
Android / KXB20.9-1.10-1.18-1.1
365
<1%
76.
Android / JWR67B
351
<1%
77.
Android / FRG83G
345
<1%
78.
Android / ZVK.IMM76D
330
<1%
79.
Android / HuaweiU8730
322
<1%
80.
Android / 13.9.0Q2.X-178-RW-17
289
<1%
81.
iOS / 5.0
275
<1%
82.
Android / 9.8.2O-72_VZW-16
265
<1%
83.
Android / 14.10.0Q3.X-84-9
259
<1%
84.
Android / C771M150
255
<1%
85.
Android / 4.5.1A_SUN_USC_19.0
250
<1%
86.
Android / 9.8.2Q-50_SLS-14
247
<1%
87.
Android / HuaweiU8680
242
<1%
88.
Android / 9.8.2Q-122_XT897_FFW-5
239
<1%
89.
Android / GWK74
234
<1%
90.
Android / 5.5.1_84_D3G-66_M2-10
230
<1%
91.
Android / HuaweiH866C
229
<1%
92.
Android / FRG83
218
<1%
93.
Android / KOT49I.D80020k
211
<1%
94.
Android / 4.5.1A-129_OLY-145
172
<1%
95.
Android / KXB20.9-1.10-1.9
165
<1%
96.
Android / HuaweiM886
151
<1%
97.
Android / 9.1.F.1.120
147
<1%
98.
Android / JLS36I
146
<1%
99.
Android / 6.1.C.1.111
141
<1%
100.
Android / HuaweiH868C
140
<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)   58%
2.6 (Android)   31%
2.7.3 (iOS)   9%
2.7.2 (iOS)   2%
2.7.1 (iOS)   <1%
2.7 (iOS)   <1%
1.0.41 (Android)   <1%
1.0.45 (Android)   <1%
1.0.31 (Android)   <1%
2.7 (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.