Pepboys.com Traffic and Demographic Statistics by Quantcast

 

Log in

Forgot Password?

Rankings

pepboys.com

Monthly Uniques 1.4M US 1.5M Global
  •  

  • Quantified

    Directly Measured Data

Operates stores in 36 states, selling brand-name and private-label automotive parts and offering on-site service facilities. (NYSE:PBY). [Description from dmoz]

Still an automotive paradise for do-it-yourselfers, The Pep Boys - Manny, Moe & Jack now hears increasing cries of "Do it for me!" The company operates about 560 stores in 35 states and Puerto Rico, selling brand-name and private-label automotive parts and offering on-site service facilities. Pep Boys stores stock about 22,000 car parts and accessories, including tires, and combined operate some 5,845 service bays for parts installation, repair, and vehicle inspection. The company serves four segments of the automotive aftermarket: do-it-yourself, do-it-for-me (service), buy-for-resale (sales to professional garages), and tire sales. Pep Boys sales have lost their pep, and the firm is cutting expenses. [Description from Hoover's]

This site reaches over 1.5 million monthly people, of which 1.3 million (95%) are in the U.S.The typical visitor visits harborfreight.com and shops at Home Depot.


Related Links

US States

The volume of traffic originating from individual US States in a 30 day period. Indexes are calculated by comparing the percentage of a site's traffic from a given US state to the pattern of all Internet traffic measured by Quantcast - e.g, an index of 500 indicates that the site gets five times as much of its traffic from the given US state than the average Internet site.

state Graph
State Uniques (Cookies) Uniques % Uniques Index Impressions % Impressions Index
California 223,618 18.51 115 17.82 130
Pennsylvania 101,082 8.37 190 10.11 243
Florida 96,608 8.00 143 7.83 125
New York 81,150 6.72 117 7.19 102
Texas 76,274 6.31 102 6.23 88
New Jersey 72,432 6.00 192 6.79 209
Illinois 47,874 3.96 91 3.94 96
Georgia 41,816 3.46 110 3.32 102
Virginia 39,300 3.25 88 3.19 122
Maryland 35,367 2.93 175 3.14 159
Unknown 31,059 2.57 55 2.36 134
Arizona 30,414 2.52 172 2.68 149
Ohio 27,019 2.24 61 2.08 58
North Carolina 25,883 2.14 74 1.94 64
Massachusetts 21,540 1.78 85 1.76 75
Michigan 18,135 1.50 59 1.29 45
Updated May 2013 • Next: Jun 2013

Request Access

Quantified Publishers can hide some or all of their profile data from public view. Clicking this link will send a request to the profile owner to grant you full visibility. If you are granted access you will be notified via email and a home page notification.

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.


Facebook Twitter LinkedIn YouTube
©2013 Quantcast Corporation

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 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.


xCreate a Network

Note: The name you enter here will be publicly viewable.

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 publically viewable.