St.com Traffic and Demographic Statistics by Quantcast

 

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st.com

Monthly Uniques 37.7K US
  •  

  • Not Quantified

    Data is estimated

Produces a diverse range of devices, ranging from single transistors to microprocessors. [Description from dmoz]

STMicroelectronics (ST) is one of the world's largest and most respected semiconductor companies; it competes with Texas Instruments to be the top maker of analog chips. ST makes many types of discrete devices (such as transistors and diodes) and integrated circuits (ICs), including microcontrollers, memory chips, and application-specific ICs. It sells to manufacturers in the telecommunications, computer, consumer electronics, industrial, and automotive markets. Clients include Alcatel-Lucent, Bosch, Hewlett-Packard, and Nokia (more than 17% of sales). STMicroelectronics gets more than two-thirds of its sales outside Europe. [Description from Hoover's]

This site reaches approximately 37,658 U.S. monthly people.


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This publisher has not implemented Quantcast Measurement. Data is estimated and not verified by Quantcast. Get Quantified!™

Updated May 2013 • Next: Jun 2013

US Web Demographics

See More Details     Gender   ||   Age   ||   Children   ||   Income   ||   Education   ||   Ethnicity
index
 
 
 Male
 
 
148
Female
 
  54
 
 
 
 < 18
 
  37
18-24
 
  53
25-34
 
  97
35-44
 
 
107
45-54
 
 
153
55-64
 
 
158
65+
 
 
128
 
 
 
 No Kids
 
 
137
Has Kids
 
  62
 
internet average
index
 
 
 $0-50k
 
 
112
$50-100k
 
  87
$100-150k
 
  88
$150k+
 
 
117
 
 
 
 No College
 
  72
College
 
 
106
Grad School
 
 
171
 
 
 
 Caucasian
 
 
102
African American
 
  63
Asian
 
 
133
Hispanic
 
 
102
Other
 
 
102
 
internet average

Updated May 2013 • Next: Jun 2013

Audience Also Likes

This list shows other sites an audience frequents, which can reveal brand preferences and other lifestyle traits. The Audience Also Likes section of a site's profile shows other sites that the audience is likely to visit, and the affinity indicates how much more likely than average. For example, if the profile for wsj.com listed barrons.com with an affinity of 10x, a randomly chosen visitor to wsj.com is ten times likelier to visit barrons.com than the average internet user.

Demographic Index

Index represents how a site's audience compares to the online internet population as a whole. An index of 100 indicates a site's audience is at parity with the total internet population.

Affinity

The affinity numbers represent how likely a given visitor is to visit one of the listed sites or categories compared to the internet average. For example, an affinity number of 10.2 would say that a user on "X" website is 10.2 times more likely than the average internet visitor to visit the other site or category that is provided.

Directly Measured

This website is Quantified, and the data displayed here is directly measured by Quantcast.

Addicts

Addicts are the hardcore segment of a site's audience, who have 30 or more visits to that site in a month.

Regulars

Regulars refers to a segment of a site's audience that frequent a site more than once per month but not as much as addicts who frequent a site 30 or more times per month.

Passers-By

Passers-by have a single visit over the course of a month.


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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

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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 to the entire Internet population. The higher the index number, the more concentrated a site is in a particular demographic.

As an example, if a site 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 to the entire Internet population. The higher the index number, the more concentrated a site is in a particular demographic.

As an example, if a site 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 site divided by the average of the same segment on the entire Internet.

Example:
80% female segment on site ÷ 32% female internet average = 2.5x

This chart breaks down the site's audience for a demographic. All the segments collectively equal 100%.

As an example, if a site 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.


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