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Not Your Regular Google Analytics:  Level Up in Your Analysis
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Not Your Regular Google Analytics: Level Up in Your Analysis

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You’ve covered the basics. You know all about Bounce Rate and Goal Conversions, but want to go deeper. This presentation explores some new tactics to help you reach the next level in your data …

You’ve covered the basics. You know all about Bounce Rate and Goal Conversions, but want to go deeper. This presentation explores some new tactics to help you reach the next level in your data analysis. You learn about advanced demographics, content calendar planning with data, and predictive analysis with time series data from Google Analytics.

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  • 1. Not Your Regular Google Analytics
 Level Up in Your Analysis" Joshua Dodson" @joshuaddodson"
  • 2. Advanced Demographics"
  • 3. Apply the target segment! Audience > Demographics > Overview + Advanced Segment!
  • 4. Are these your intended results?! Audience > Demographics > Overview + Advanced Segment!
  • 5. Create a new segment ! Apply the segment to key reports ! (Site Content, Acquisition, etc.)!
  • 6. •  Consider who your target audience might be! •  Compare it to the actual results! •  Do changes need to be made to better reach your target audience?! •  Note: This is connected to Google’s ad networks and does not represent all of your site traffic ! Tips"
  • 7. " " "Alexa"
  • 8. Content Calendar Planning"
  • 9. Segment the data! Choose your metric. ! What are you trying to achieve?!
  • 10. Export the timeline data! as a CSV file!
  • 11. Add the column! for day of the week!
  • 12. Set up the Pivot Table!
  • 13. Look at the sum for ! each day!
  • 14. Visualize the data ! with a chart!
  • 15. Use the data"
  • 16. •  Segment! •  Export and use the metric you want to influence! – If you want more Visits, use Visits. If you want more Inquiry Form Submissions, use Inquiry Form Submission Goal Completions! •  Test the top days! Tips"
  • 17. To compare two segments, 
 apply them both and export once!
  • 18. " Google Trends"
  • 19. Forecasting"
  • 20. Segment the data! Will this represent your efforts?!
  • 21. Export the timeline data! as a CSV file!
  • 22. http://www.r-project.org/"
  • 23. Load the data!
  • 24. View the data!
  • 25. Load the library!
  • 26. Plot the data!
  • 27. Plot the ! forecast!
  • 28. •  Look at the trend and the possible values! •  This is not a certain future! •  Is this the direction you want?! •  Should you change something?! Tips"
  • 29. Google Webmaster Tools"
  • 30. Plot the impressions! Forecast!
  • 31. Compare your target 
 audience and your 
 actual visitors!
  • 32. Consider the best days for posting content to reach your objectives! !
  • 33. Project what response you might see if you continue doing the same thing!
  • 34. Make changes as needed !
  • 35. Thanks!" " @joshuaddodson"
  • 36. Image Sources! 1, 36: http://www.flickr.com/photos/pixelhut/4867082962/sizes/l/! 2: http://www.flickr.com/photos/frerieke/3860242900/sizes/s/
 http://www.flickr.com/photos/gregpc/3533372643/sizes/s/
 http://www.flickr.com/photos/18378305@N00/9053039024/sizes/s/
 http://www.flickr.com/photos/nathanoliverphotography/8137171070/sizes/n/
 http://www.flickr.com/photos/alexmasters/2449716886/sizes/s/
 http://www.flickr.com/photos/78428166@N00/5913546677/sizes/s/
 http://www.flickr.com/photos/seandreilinger/2370976649/sizes/s/
 http://www.flickr.com/photos/stroganov/2686652482/sizes/s/
 http://www.flickr.com/photos/kam/2523145385/sizes/s/! 6, 16, 29: http://www.flickr.com/photos/davedugdale/5025601209/sizes/l/! 7,18,30: http://www.flickr.com/photos/zigazou76/8522717632/sizes/l/! 8:, 15: http://www.flickr.com/photos/joelanman/366190064/sizes/l/! 19: http://www.flickr.com/photos/centralasian/5558265437/sizes/o/! 32-35: http://www.flickr.com/photos/nubui/9550939064/sizes/l/!