Emusic.com Traffic and Demographic Statistics by Quantcast

 

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Rankings

emusic.com

Monthly Uniques 215.9K US
  •  

  • Not Quantified

    Data is estimated

Sells downloadable tracks and full albums compatible with the iPod or MP3 players. [Description from dmoz]

eMusic.com previously wanted the whole world in its hands. Now it's focusing on the corner market. eMusic is one of the oldest digital music subscription services in operation, allowing consumers to download music legally. However, after business suffered as customers turned to newer services from Apple and RealNetworks, eMusic repositioned itself as "the Internet's corner music store", providing music from independent labels, as well as editorial content and social networking services geared toward music lovers. Former chairman Bob Kohn and ex-CEO Gene Hoffman founded eMusic in 1998. The company is owned by Dimensional Associates, the private equity arm of JDS Capital Management. [Description from Hoover's]

This site reaches over 216K U.S. monthly people.The typical visitor visits gamefly.com and plays games on pogo.com.


Related Links
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
 
  92
Female
 
 
108
 
 
 
 < 18
 
 
166
18-24
 
 
122
25-34
 
  96
35-44
 
  94
45-54
 
  74
55-64
 
  51
65+
 
  37
 
 
 
 No Kids
 
  70
Has Kids
 
 
131
 
internet average
index
 
 
 $0-50k
 
 
101
$50-100k
 
 
102
$100-150k
 
 
101
$150k+
 
  96
 
 
 
 No College
 
 
111
College
 
  94
Grad School
 
  83
 
 
 
 Caucasian
 
  88
African American
 
 
184
Asian
 
  71
Hispanic
 
 
126
Other
 
  98
 
internet average

Updated Feb 2013 • Delayed - Next: May 2013

Audience Also Likes

Data Source: United States

The people who visit emusic.com are also likely to visit these categories and sites:

Affinity Music/Radio
6.3x Rhapsody
1.9x allmusic.com
Affinity Gaming Information
4.0x gamefly.com
3.6x ign.com
Affinity Games - Online Play
2.9x pogo.com
2.3x gamehouse.com
See More

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

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.

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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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