If you're a digital marketer looking to enhance your campaigns, then this course is for you. In this course, digital marketing consultant Adriaan Brits shows you—with real-world examples in Google Analytics—how to optimize your campaigns by segmenting and testing them, and then how to analyze your results.
- [Instructor] Segmentation and testing with analytics is a crucial part of managing the digital marketing in any business. My name's Adriann Brits and I'm a marketing consultant. In this course I'm going to provide you with a good overview and some practical tips on segmentation and testing in Google Analytics. Let me walk you through the topics that we're going to cover. During the introduction you will see exactly what segmentation and testing is, and why we use it as digital marketers. I'm going to show you the difference between planned and retroactive segmentation in analytics and how you can use this to organize your workflow more efficiently.
In setting up segments for testing, I'm going to share with you live examples covering about six bases for segmentation, being technological, demographic, behavioral, campaign type, social and email. Now, mastering these examples will then enable you to replicate the techniques on many other bases of segmentation, provided that it's supported by analytics. In the Tips and Ideas for Testing with Analytics section, you will learn the difference between multivariate and A/B testing and then, through a practical challenge and solution, I'm going to share with you a few tips on how you can apply a combination of the things that we learned in the course.
So, I'd like to invite you to join me on the course, after which you will be better equipped to use segmentation and testing as a vital part of your analytics.
- Define planned and retroactive segmentation.
- Examine planned versus retroactive segmentation.
- Identify the elements of social segmentation for channel testing.
- Determine the fundamentals of conversion segments and conversion path data.
- Recognize the steps for testing content for different audiences.