Topix Mobile App Traffic and Demographic Statistics by Quantcast

 

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Rankings

Combined Topix Sites Network

Monthly Uniques
15.9M US 22.9M Global

Topix Mobile App

42.4K US 43.2K Global
  •  
  • Quantified

    Directly Measured Data

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Updated Apr 19, 2014 • Next: Apr 20, 2014 by 9AM PDT
Last Month
For Mar 20, 2014 - Apr 18, 2014
Uniques Visits Installs Upgrades
Topix 1.2.7 (iOS) 35,401 1,174,012 13,771 2,245
Topix 1.2.2 (iOS) 3,634 113,010 1,505 17
Topix 1.1.9 (iOS) 1,106 27,903 338 2
Topix 1.2.5 (iOS) 986 22,472 276 13
Topix 1.2.6 (iOS) 750 17,894 158 23
See all 10 versions

US Demographics:   [ Mobile App ]

See All
Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
index
 
 
Male
 
 
109
Female
 
  92
 
 
 
< 18
 
  86
18-24
 
  98
25-34
 
 
123
35-44
 
 
115
45-54
 
  99
55-64
 
  80
65+
 
  66
 
 
 
No Kids
 
 
119
Has Kids
 
  81
 
US average
index
 
 
$0-50k
 
 
109
$50-100k
 
  94
$100-150k
 
  87
$150k+
 
  81
 
 
 
No College
 
  83
College
 
 
116
Grad School
 
 
106
 
 
 
Caucasian
 
 
117
African American
 
  53
Asian
 
  36
Hispanic
 
  36
Other
 
  93
 
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.

Date of Installation Install Day +2 Days +3 Days +1 Week +2 Weeks +1 Month +3 Months +6 Months
Average Day
436 days total
261,317 installs
100%
70%
63%
54%
48%
40%
25%
14%
6 months ago
October 20, 2013
525 installs
100%
65%
59%
49%
43%
37%
24%
3 months ago
January 20, 2014
658 installs
100%
61%
51%
38%
32%
23%
1 month ago
March 20, 2014
576 installs
100%
61%
49%
38%
29%
2 weeks ago
April 6, 2014
515 installs
100%
56%
46%
32%
1 week ago
April 13, 2014
588 installs
100%
49%
41%

Visit Frequency

The number of unique users grouped by their return visit counts over the last 30 days.

Visits Uniques
1   10,191
2-3   7,267
4-7   5,287
8-15   4,490
16-31   4,025
32-63   3,655
64-127   3,399
128-255   3,275
256-511   3,090
512+   6,262

Top Countries

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

countries Visits % Of Total
1.
United States
1,382,537
99%
2.
United Kingdom
7,487
1%
3.
Australia
2,504
<1%
4.
Canada
2,043
<1%
5.
Ireland
362
<1%
6.
Romania
243
<1%
7.
Bangladesh
241
<1%
8.
Spain
233
<1%
9.
India
181
<1%
10.
South Africa
174
<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
11,476
27%
2.
iPhone 4S
9,604
23%
3.
iPhone 4
6,987
16%
4.
iPhone 5S
6,455
15%
5.
iPhone 5C
2,898
7%
6.
iPad 2
1,557
4%
7.
iPhone 3GS
603
1%
8.
iPod touch
582
1%
9.
iPad mini
527
1%
10.
iPad 3rd Gen
524
1%
11.
iPad 4th Gen
448
1%
12.
iPad Air
239
1%
13.
iPad
187
<1%
14.
iPad mini with Retina display
57
<1%
See all 14 device models

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

connections Visits % Of Total
1.
WiFi
790,378
57%
2.
Cellular Data
578,622
42%
3.
No Internet Connection
13,537
1%

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

carriers Visits % Of Total
1.
WiFi
790,378
57%
2.
AT&T
438,035
32%
3.
Verizon Wireless
106,356
8%
4.
Sprintcom Inc
17,234
1%
5.
Disconnected
13,537
1%
6.
nTELOS Communications Inc (Virginia PCS Alliance LC)
4,844
<1%
7.
Bluegrass Cellular LLC
2,833
<1%
8.
Unrecognized Carrier
2,602
<1%
9.
Cellular South Inc
2,314
<1%
10.
Tracfone Wireless
2,114
<1%
11.
T-Mobile USA
1,079
<1%
12.
Cricket Communications
614
<1%
13.
US Cellular
308
<1%
14.
Virgin Mobile
162
<1%
15.
Pine Telephone Company dba Pine Cellular
53
<1%
16.
Nextel Communications Inc
19
<1%
17.
MTPCS LLC
18
<1%
18.
West Central Wireless
17
<1%
19.
3 Ireland
6
<1%
20.
Chungwa Telecom
3
<1%
21.
T-Mobile Deutschland GmbH
3
<1%
22.
Celcom (Malaysia) Berhad
2
<1%
23.
Etihad Etisalat Company (Mobily)
2
<1%
24.
Oman Mobile Telecommunications Company (Oman Mobile)
2
<1%
25.
Kaplan Telephone Company Inc.
1
<1%
26.
New Mexico RSA 4 East Ltd. Partnership
1
<1%
See all 26 carriers

The number of unique users per operating system over the last 30 days.

OS versions Uniques % Of Total
1.
iOS / 7.1
25,109
59%
2.
iOS / 7.0.4
6,386
15%
3.
iOS / 7.0.6
6,037
14%
4.
iOS / 6.1.3
1,896
4%
5.
iOS / 7.0
1,344
3%
6.
iOS / 7.0.3
1,325
3%
7.
iOS / 7.0.2
1,209
3%
8.
iOS / 6.1.6
543
1%
9.
iOS / 5.1.1
463
1%
10.
iOS / 6.1.4
407
1%
11.
iOS / 6.0.1
292
1%
12.
iOS / 6.0
234
1%
13.
iOS / 6.1.2
214
1%
14.
iOS / 6.1
156
<1%
15.
iOS / 5.1
84
<1%
16.
iOS / 5.0.1
64
<1%
17.
iOS / 6.1.5
54
<1%
18.
iOS / 4.3.3
53
<1%
19.
iOS / 4.3.5
38
<1%
20.
iOS / 6.0.2
36
<1%
21.
iOS / 7.0.1
33
<1%
22.
iOS / 6.1.1
14
<1%
23.
iOS / 4.3.2
12
<1%
24.
iOS / 4.3.1
11
<1%
25.
iOS / 5.0
7
<1%
26.
iOS / 4.3
6
<1%
27.
iOS / 4.3.4
5
<1%
See all 27 OS versions

Visit Sources

The percentage of visits from all apps in this network in the past 30 days.

The percentage of visits to Topix by version in the past 30 days.

| Versions of Topix
Topix   100%
1.2.7 (iOS)   85%
1.2.2 (iOS)   8%
1.1.9 (iOS)   2%
1.2.5 (iOS)   2%
1.2.6 (iOS)   1%
1.2.4 (iOS)   1%
1.1.8 (iOS)   1%
1.2 (iOS)   <1%
1.2.3 (iOS)   <1%
1.1.7 (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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