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Combined Topix Sites Network

Monthly Uniques
18.9M US 23.4M Global

Topix Mobile App

31.7K US 32.7K Global
  •  
  • Quantified

    Directly Measured Data

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Updated May 22, 2015 • Next: May 23, 2015 by 9AM PDT
Last Month
For Apr 22, 2015 - May 21, 2015
Uniques Visits Installs Upgrades
Topix 1.2.7 (iOS) 23,768 417,935 2,258 190
Topix 1.2.8 (iOS) 23,747 510,161 2,846 20,889
Topix 1.2.2 (iOS) 592 15,371 42 1
Topix 1.1.9 (iOS) 191 4,145 18 0
Topix 1.1.8 (iOS) 78 823 21 0
See all 11 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  97
Female
 
 
102
 
 
 
< 18
 
  96
18-24
 
  87
25-34
 
  99
35-44
 
 
112
45-54
 
 
110
55-64
 
  96
65+
 
  77
 
 
 
No Kids
 
  81
Has Kids
 
 
119
 
US Average
Index
 
 
$0-50k
 
 
103
$50-100k
 
 
103
$100-150k
 
  94
$150k+
 
  80
 
 
 
No College
 
 
102
College
 
 
105
Grad School
 
  79
 
 
 
Caucasian
 
 
114
African American
 
  54
Asian
 
  43
Hispanic
 
  61
Other
 
  88
 
US Average


Updated May 17, 2015 • Next: May 27, 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 May 17, 2015 • Next: May 27, 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.

Date of Installation Install Day +2 Days +3 Days +1 Week +2 Weeks +1 Month +3 Months +6 Months
Average Day
833 days total
548,689 installs
100%
61%
52%
41%
35%
29%
18%
10%
6 months ago
November 22, 2014
663 installs
100%
53%
42%
30%
24%
20%
11%
3 months ago
February 22, 2015
807 installs
100%
50%
38%
24%
18%
13%
1 month ago
April 22, 2015
829 installs
100%
46%
36%
21%
18%
2 weeks ago
May 8, 2015
785 installs
100%
44%
33%
18%
1 week ago
May 15, 2015
735 installs
100%
44%
30%

Visit Frequency

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

Visits Uniques
1   13,172
2-3   8,292
4-7   5,496
8-15   4,150
16-31   3,357
32-63   2,886
64-127   2,590
128-255   2,390
256-511   2,129
512+   3,408

Top Countries

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

countries Visits % Of Total
1.
United States
951,599
98%
2.
United Kingdom
9,111
1%
3.
Australia
2,961
<1%
4.
Canada
1,285
<1%
5.
Afghanistan
482
<1%
6.
Ireland
266
<1%
7.
Mexico
170
<1%
8.
Romania
147
<1%
9.
Belgium
118
<1%
10.
Saudi Arabia
111
<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
6,747
21%
2.
iPhone 6
6,565
21%
3.
iPhone 6 Plus
4,046
13%
4.
iPhone 5
3,983
13%
5.
iPhone 5C
2,966
9%
6.
iPhone 4S
2,795
9%
7.
iPhone 4
1,838
6%
8.
iPad 2
828
3%
9.
iPad mini
458
1%
10.
iPad Air
314
1%
11.
iPad 3rd Gen
280
1%
12.
iPad 4th Gen
278
1%
13.
iPod touch
268
1%
14.
iPhone 3GS
102
<1%
15.
iPad Air 2
95
<1%
16.
iPad mini with Retina display
95
<1%
17.
iPad
70
<1%
18.
iPad Mini 3
11
<1%
See all 18 device models

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

connections Visits % Of Total
1.
WiFi
552,913
58%
2.
Cellular Data
370,716
39%
3.
No Internet Connection
27,970
3%

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

carriers Visits % Of Total
1.
WiFi
552,913
58%
2.
AT&T
274,391
29%
3.
Verizon Wireless
74,376
8%
4.
Disconnected
27,970
3%
5.
Sprintcom Inc
13,172
1%
6.
nTELOS Communications Inc (Virginia PCS Alliance LC)
2,823
<1%
7.
Cellular South Inc
2,129
<1%
8.
T-Mobile USA
1,354
<1%
9.
Tracfone Wireless
792
<1%
10.
US Cellular
683
<1%
11.
Unrecognized Carrier
456
<1%
12.
Bluegrass Cellular LLC
310
<1%
13.
Virgin Mobile
134
<1%
14.
Sl Wireless LLC
45
<1%
15.
West Central Wireless
20
<1%
16.
Cricket Communications
13
<1%
17.
Vodafone Ltd.
4
<1%
18.
GCI Communications Corp.
4
<1%
19.
Not Reported
3
<1%
20.
Vodafone Libertel N.V.
3
<1%
21.
T-Mobile Deutschland GmbH
3
<1%
22.
Zain Bahrain
1
<1%
See all 22 carriers

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

OS versions Uniques % Of Total
1.
iOS / 8.3
18,319
58%
2.
iOS / 7.1.2
3,115
10%
3.
iOS / 8.2
2,811
9%
4.
iOS / 8.1.3
2,210
7%
5.
iOS / 8.1.2
1,652
5%
6.
iOS / 7.1.1
916
3%
7.
iOS / 8.1
791
2%
8.
iOS / 8.1.1
595
2%
9.
iOS / 7.0.4
553
2%
10.
iOS / 8.0.2
461
1%
11.
iOS / 7.1
382
1%
12.
iOS / 8.0
309
1%
13.
iOS / 6.1.3
254
1%
14.
iOS / 7.0.6
232
1%
15.
iOS / 6.1.6
162
1%
16.
iOS / 7.0.3
150
<1%
17.
iOS / 7.0
136
<1%
18.
iOS / 5.1.1
115
<1%
19.
iOS / 7.0.2
108
<1%
20.
iOS / 6.1.2
43
<1%
21.
iOS / 6.1.4
43
<1%
22.
iOS / 6.0.1
35
<1%
23.
iOS / 6.0
24
<1%
24.
iOS / 6.1
23
<1%
25.
iOS / 4.3.3
13
<1%
26.
iOS / 4.3.5
11
<1%
27.
iOS / 5.1
9
<1%
28.
iOS / 8.4
8
<1%
29.
iOS / 6.0.2
7
<1%
30.
iOS / 4.3.2
5
<1%
31.
iOS / 7.0.1
4
<1%
32.
iOS / 4.3
3
<1%
33.
iOS / 5.0.1
3
<1%
34.
iOS / 6.1.5
3
<1%
35.
iOS / 4.3.1
2
<1%
36.
iOS / 5.0
2
<1%
37.
iOS / 4.3.4
1
<1%
See all 37 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%
1.2.8 (iOS)   54%
1.2.7 (iOS)   44%
1.2.2 (iOS)   2%
1.1.9 (iOS)   <1%
1.2.5 (iOS)   <1%
1.1.8 (iOS)   <1%
1.2.6 (iOS)   <1%
1.2 (iOS)   <1%
1.2.4 (iOS)   <1%
1.2.3 (iOS)   <1%

Request Access

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Access Pending

You have sent a request to this profile's owner to be able to see all hidden data on this profile. You will be notified via email when access has been granted.

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Getting Quantified

Getting Quantified means you get free, directly measured and reliable audience and traffic data for the web properties you manage. Non-Quantified sites are still listed, but the data shown is estimated.

Request Site Get Quantified

You can send a request to this publisher asking them to join the Quantcast Publisher Program. The publisher will be notified of your request via email. If and when the publisher decides to join, you will receive an email notification.

Request for Quantification Pending

You have sent a request to this site's owner to get quantified. You will be notified via email when this site becomes quantified.

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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