Third installment of a nine part series we will post on Saturdays.
Dimensions vs. Metrics and how they live cooperatively within Google Analytics.
Taught by Massimo Paolini at the October 2010 Silicon Valley Code Camp.
Third installment of a nine part series we will post on Saturdays.
Dimensions vs. Metrics and how they live cooperatively within Google Analytics.
Taught by Massimo Paolini at the October 2010 Silicon Valley Code Camp.
Landing Page Optimization – part 2 – is our topic today. Practical examples of how to optimize a page and make it “Focused.” Remember your home page should focus only on your company name.
The Google Analytics series thus far has covered the basics on reports from understanding the difference between Dimensions and Metrics, through selecting a date range, a chart option, or a secondary dimension. We then covered in detail how to setup an account, create profiles, add the Async code, and lately we explored eCommerce. Lately we covered goals and funnels, the meat and potatoes of Web Analytic. See the full list below and at the bottom of every educational post.
Landing Page Optimization is our topic today and because I always say that every page on your site should be a Landing Page, this applies to you. Oh, and your “static” home page is a poor landing page for anything other than your company name.
The Google Analytics series thus far has covered the basics on reports from understanding the difference between Dimensions and Metrics, through selecting a date range, a chart option, or a secondary dimension. We then covered in detail how to setup an account, create profiles, add the Async code, and lately we explored eCommerce. Lately we covered goals and funnels, the meat and potatoes of Web Analytic. See the full list below and at the bottom of every educational post.
Second installment of a nine part series we will post on Saturdays.
The last coding necessary when setting up your GA account: Asynchronous Code.
Taught by Massimo Paolini at the October 2010 Silicon Valley Code Camp.
Now that you’ve learned how to read the data from site search, let’s use that information to optimize the site.
The Google Analytics series thus far has covered the basics on reports from understanding the difference between Dimensions and Metrics, through selecting a date range, a chart option, or a secondary dimension. We then covered in detail how to setup an account, create profiles, add the Async code, and lately we explored eCommerce. Lately we covered goals and funnels, the meat and potatoes of Web Analytic. See the full list below and at the bottom of every educational post.
Next in our practical section we cover Site Search. We show you how to configure search in the “Initial Account Configuration” video, then in this video we show you how to understand your site search results.
The Google Analytics series thus far has covered the basics on reports from understanding the difference between Dimensions and Metrics, through selecting a date range, a chart option, or a secondary dimension. We then covered in detail how to setup an account, create profiles, add the Async code, and lately we explored eCommerce. Lately we covered goals and funnels, the meat and potatoes of Web Analytic. See the full list below and at the bottom of every educational post.
Second installment of our practical section. How do I use all this stuff in a real life situation? We go into more details on page optimization, utilizing page value and bounce rate.
The Google Analytics series thus far has covered the basics on reports from understanding the difference between Dimensions and Metrics, through selecting a date range, a chart option, or a secondary dimension. We then covered in detail how to setup an account, create profiles, add the Async code, and lately we explored eCommerce. Lately we covered goals and funnels, the meat and potatoes of Web Analytic. See the full list below and at the bottom of every educational post.
New section starting today. How do I use all this stuff in a real life situation? We have an actual example! Watch and learn…
The Google Analytics series thus far has covered the basics on reports from understanding the difference between Dimensions and Metrics, through selecting a date range, a chart option, or a secondary dimension. We then covered in detail how to setup an account, create profiles, add the Async code, and lately we explored eCommerce. Lately we covered goals and funnels, the meat and potatoes of Web Analytic. See the full list below and at the bottom of every educational post.
Our second installment for segmentation covers advanced segments. This feature allows you to use some predefined segments or create your own and then implement them on the fly to a report or the whole analytical session.
The Google Analytics series thus far has covered the basics on reports from understanding the difference between Dimensions and Metrics, through selecting a date range, a chart option, or a secondary dimension. We then covered in detail how to setup an account, create profiles, add the Async code, and lately we explored eCommerce. Lately we covered goals and funnels, the meat and potatoes of Web Analytic. See the full list below and at the bottom of every educational post.
Continuing our discussion on segmentation by showing you how to create a filter for segmenting your data.
The Google Analytics series thus far has covered the basics on reports from understanding the difference between Dimensions and Metrics, through selecting a date range, a chart option, or a secondary dimension. We then covered in detail how to setup an account, create profiles, add the Async code, and lately we explored eCommerce. Lately we covered goals and funnels, the meat and potatoes of Web Analytic. See the full list below and at the bottom of every educational post.