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How to Run an A/B Test in Google Analytics - Kissmetrics

How to Run an A/B Test in Google Analytics - Kissmetrics | The MarTech Digest | Scoop.it
Landing page optimization and split testing techniques can get extremely confident and require special tools that only CRO professionals can navigate. However Google Analytics includes their own simple split testing option in Content Experiments.

Assuming you already have the new page variations created and you’re comfortable editing your site’s code, they literally only take a few seconds to get up-and-running. And they can enable anyone in your organization to go from research to action by the end of the day.
Joemktg's insight:

Brilliant. CT for the step by step instructions.

 

Email your comments to joe_rizzo@marketingIO.com. I’ll publish it here. marketingIO: One Source for All Marketing Technology Challenges. See our solutions.  

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How to Segment in Google Analytics to Generate Better Results - CrazyEgg

How to Segment in Google Analytics to Generate Better Results - CrazyEgg | The MarTech Digest | Scoop.it

"For those who are just starting to use segmentation in Google Analytics for A/B testing, I suggest you focus on these few key types of segments:

  • Traffic source
  • Location/geography
  • Visitor type
  • Landing page type
  • Action taken
  • Content viewed
  • Engagement – Different pages in your website may have varying levels of customer engagement. Creating a segment type based on engagement helps you make improvements to pages that produce less engagement.
  • Demographics
  • Technology platform
  • Value – One of the classic segmentation techniques is to segment your visitors based on their value. You can then identify the source of these visitors and their journey towards your conversion goals."
Joemktg's insight:

And how to AB test when you CT.

 

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A Guide to AB Testing with Google Analytics Content Experiments » Conversion Optimization Blog - A/B Testing Software

A Guide to AB Testing with Google Analytics Content Experiments » Conversion Optimization Blog - A/B Testing Software | The MarTech Digest | Scoop.it
There are a lot of paid tools that you can use for A/B testing. But Google Analytics is one of the best free tools which you can use for running A/B testing experiments. It’s readily available for anyone. In this post I will be taking a critical view at Google Analytics’ split testing abilities and try to answer if it’s the right tool for you to be using. In Google Analytics, A/B testing is referred to as a content experiment.


Dark marketing clouds ahead? Let marketingIO help you see clearly. 

Joemktg's insight:

Click through for details, as it is a complete step by step primer. It's hard...very hard...so I could see many not bothering and moving towards a standalone AB Testing tool.

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