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Google Analytics Essential Training (2010)
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How does Google Analytics work?


From:

Google Analytics Essential Training (2010)

with Corey Koberg

Video: How does Google Analytics work?

In order to understand how to install Google Analytics, and to interpret what our reports are showing us, it's important to talk about the basics of how Google Analytics works. Let's look at a typical Web site visit. Let's say a person is here on their laptop, and they want to visit your site, so they open their Web browser. Now, your Web site files are hosted on a standard Web server, just waiting for a browser to request them, and when the browser makes this request, that request is logged to the server logs. When Web analytics was born, it was exclusively with software that lived here at the datacenter, and processed those request logs from the server.
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  1. 6m 2s
    1. Welcome
      1m 13s
    2. How to get the most from this course
      3m 11s
    3. What's new in this update?
      1m 38s
  2. 5m 19s
    1. The pitfalls of hit counting and turning data into information
      3m 6s
    2. Web analytics: A tool and a process
      2m 13s
  3. 15m 30s
    1. Defining goals and conversions: Why do you have a web site?
      5m 40s
    2. Understanding data: Averages, segments, trends, and context
      1m 51s
    3. Introducing segments
      2m 38s
    4. Understanding trends and context
      5m 21s
  4. 11m 25s
    1. How does Google Analytics work?
      2m 18s
    2. Setting up an account
      2m 49s
    3. Installing tracking code on a site
      6m 18s
  5. 24m 20s
    1. Understanding accounts and profile administration
      6m 59s
    2. Navigating the reports and the Data Over Time chart
      4m 45s
    3. Selecting and comparing date ranges
      6m 50s
    4. Using annotations to make notes in data
      2m 30s
    5. Using the help tools
      3m 16s
  6. 24m 20s
    1. Viewing data in different formats (overview, tabular, pie, bar, compare to site)
      6m 10s
    2. Navigating data with site usage, goals, and e-commerce metrics
      9m 20s
    3. Sorting data with inline and advanced filters
      8m 50s
  7. 10m 26s
    1. Understanding the importance of segmentation in data analysis
      4m 40s
    2. Slicing data with dimensions
      5m 46s
  8. 7m 38s
    1. Why share data?
      1m 10s
    2. Managing user accounts and profiles
      4m 8s
    3. Emailing reports
      2m 20s
  9. 29m 12s
    1. Understanding who is visiting a site
      1m 20s
    2. Analyzing location data
      4m 52s
    3. Using language identification to segment users
      1m 35s
    4. Differentiating new users from returning users
      2m 1s
    5. Understanding visitor loyalty vs. recency
      4m 25s
    6. Comparing data according to visits, visitors, and page views
      2m 10s
    7. Sorting data by browser capabilities
      3m 56s
    8. Analyzing data from mobile browsers
      2m 34s
    9. Using flow visualization to see common paths
      6m 19s
  10. 23m 50s
    1. Linking an AdWords account to Google Analytics
      2m 46s
    2. Identifying campaigns and segmentation options
      5m 55s
    3. Using keyword reports
      1m 31s
    4. Fine-tuning your match type with the Matched Search Queries report
      3m 44s
    5. Optimizing traffic by time of day
      1m 37s
    6. Using the Destination URL report to identify landing pages
      1m 45s
    7. Identifying the best placement options for ads
      2m 0s
    8. Keyword positions
      4m 32s
  11. 40m 3s
    1. Understanding where site visitors come from
      2m 32s
    2. Analyzing the All Traffic Sources report
      2m 4s
    3. Identifying direct traffic
      2m 20s
    4. Identifying users who were referred to your site
      3m 9s
    5. Viewing search engine reports (overview, organic, and paid)
      4m 52s
    6. Introducing campaign tracking
      11m 17s
    7. Planning, creating, and logging a tracking strategy
      2m 58s
    8. Tracking offline campaigns
      7m 11s
    9. Finding data in a Campaign report
      3m 40s
  12. 36m 43s
    1. Analyzing top content by metrics and the navigation summary
      3m 29s
    2. Sorting top content according to page title
      3m 57s
    3. Understanding when to use content drilldown
      2m 25s
    4. Measuring the importance of top landing and top exit pages
      3m 41s
    5. Identifying slow-performing pages with the Site Speed report
      4m 6s
    6. Understanding the Site Search and Usage report
      3m 29s
    7. Analyzing the Search Terms and Search Term Refinement reports
      4m 12s
    8. Using the Site Search Pages report to understand how users search
      5m 19s
    9. Configuring Site Search
      6m 5s
  13. 33m 49s
    1. Understanding the Goal reports
      4m 24s
    2. Configuring goals
      9m 55s
    3. Understanding funnel visualization
      9m 48s
    4. Identifying value through E-commerce reports
      4m 35s
    5. Using goal flow to find detailed insights
      5m 7s
  14. 24m 25s
    1. Real-time data for time-sensitive analysis
      4m 21s
    2. Using intelligence alerts to flag important events
      8m 59s
    3. Creating custom intelligence alerts
      5m 48s
    4. Creating and customizing dashboards
      5m 17s
  15. 43s
    1. Goodbye
      43s

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Google Analytics Essential Training (2010)
4h 53m Beginner Oct 08, 2010 Updated Dec 20, 2011

Viewers: in countries Watching now:

In Google Analytics Essential Training, Corey Koberg shows how to use the Google web analytics platform to generate and evaluate information about the visitors to a web site, including data on site traffic, user behavior, and marketing effectiveness. This course covers the out-of-the-box functionality, from account creation to reporting fundamentals, and explains how to glean insights from the vast array of data available.

Topics include:
  • Setting up an account
  • Installing tracking code on a site
  • Reading the dashboard and understanding high-level metrics
  • Understanding how visitors use and navigate web site content
  • Analyzing visitor and traffic source reports
  • Tracking AdWords and other marketing campaigns
  • Planning and configuring goals
  • Utilizing segmentation for deeper analysis
  • Understanding the raw data and how it's collected
  • Selecting and comparing date ranges
  • Using flow visualization to see how visitors navigate through a site
  • Identifying slow-performing pages
  • Performing real-time analysis
  • Using annotations and other best practices
  • Configuring and analyzing internal site search
  • Determining the best report view to use
  • Navigating reports with tabs
  • Cleaning up data with inline filters
  • Sharing data and reports
Subjects:
Business Online Marketing Web Data Analysis Web Analytics SEO
Software:
Google Analytics
Author:
Corey Koberg

How does Google Analytics work?

In order to understand how to install Google Analytics, and to interpret what our reports are showing us, it's important to talk about the basics of how Google Analytics works. Let's look at a typical Web site visit. Let's say a person is here on their laptop, and they want to visit your site, so they open their Web browser. Now, your Web site files are hosted on a standard Web server, just waiting for a browser to request them, and when the browser makes this request, that request is logged to the server logs. When Web analytics was born, it was exclusively with software that lived here at the datacenter, and processed those request logs from the server.

There are a lot of problems with running your own analytics servers. You need the servers themselves, databases, datacenter space, and highly skilled admins to run it all and keep things secure, which can be very costly and time consuming. The way Google Analytics works is based on the current generation of Web analytics tools, and has a small but important difference from the older log file based systems. When the Web server returns the page back to your browser, it has some embedded JavaScript, which is actually the code that runs Google Analytics. That Google Analytics code snippet collects information from your browser, and sends it directly to the databases in Google's powerful datacenters.

So when you and I go to log into the Google Analytics, we open up the reporting interface that is connected to those databases. It actually has almost nothing to do with your Web server that hosts your Web site, other than the fact that your pages have that JavaScript snippet included. It takes about three hours from the time a visitor sees the Web page until the data from that visit shows up in our reports. Although lately, Google has made great strides here. It's actually not uncommon to see the data show up in under an hour. There are three main advantages to a system like this. First is accuracy; utilizing features on the browser like cookies makes it much more accurate.

The second is cost. All of the cost of maintaining the hardware, databases, bandwidth, datacenters, and IT resources is handled and paid for by Google, which is nice, considering they give it all way for free. The third is the globally distributed infrastructure. This helps your page load faster, but also brings the reliability of Google's network to the product. After all, how many times have you gone to google.com and had it not load? Overall, this is a great step forward from the old days of Web analytics in that it's far easier, we get more accuracy, and all for far less cost.

Find answers to the most frequently asked questions about Google Analytics Essential Training (2010).


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Q: The course was updated on 12/19/11. Can you tell me what's changed?
A: Many movies were updated to reflect the changes in the Google Analytics user interface and new movies were added to the course as well, with topics including using flow visualization to see common paths, identifying slow-performing pages with the Site Speed Report, using goal flow to find detailed insights on funnels and conversion paths, analyzing real-time data for time-sensitive analysis, and fine-tuning match types with the Matched Search Queries report.
Q: Where can I learn more about internet marketing?
A: Discover more on this topic by visiting internet marketing on lynda.com.
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Google Analytics Essential Training (2010) will be retired from the lynda.com library on May 14, 2014. Training videos will no longer be available, but the course will still appear in your course history and certificates of completion. For updated training, check out the all new Google Analytics Essential Training coming soon to the lynda.com Online Training Library.


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