Take 10: How to Use Google Analytics Filters to Clean up Your Data
- Justin Cutroni
- Fri., Oct. 29, 2010, 11am ET (8am PT)
- 10 minutes
Did you know that there are little things—like the use of both upper and lower case letters in your tracking URLs—that may be affecting the quality of your Google Analytics data? Or, that you may be over- or under- valuing a campaign due to duplicate data, or traffic from internal sources?
Not to worry, there are simple fixes that can be completed within a matter of minutes to improve the quality of your numbers and make them easier to analyze. Google Analytics specialist Justin Cutroni is here to show you how.
Justin Cutroni is Director of Digital Intelligence for Webshare and a respected leader in the Web analytics industry who helps organizations integrate Web analytics into their decision-making processes. Justin commonly interacts with senior-level management to drive the strategic use of Web data, and he collaborates with marketing and IT teams to develop implementation plans and processes needed to generate actionable data and business insights. An active participant in the Web analytics community, Justin speaks at various industry events with a strong passion for sharing knowledge and advancing the analytics industry.
Justin is authorized by Google to teach Google Analytics Seminars for Success and has conducted numerous training events in the U.S. and Europe. He is author of Google Analytics, published in 2010 by O'Reilly Media, Inc. and co-author of Performance Marketing with Google Analytics, published in 2010 by Wiley.
Who Should Attend?
This PRO webcast is for time-pressed marketers. If you don’t like taking notes, you’ll love the checklist. And if you want to learn during your commute (or at the gym, at a coffee shop, at the airport, or while walking your dog), even better. This Take 10 is portable.
What Will You Learn?
- Key steps for improving the quality of your Google Analytics data.
- How to create systems that automatically normalize your data.
- The two data filters that every company should implement.
- A critical task that should always be performed before applying data filters.
About our Take 10 Program
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