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Split Testing

Categories: Business, Marketing
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About Course


In the ever-evolving landscape of digital marketing, mastering the art of split testing is not just advantageous; it’s imperative for staying ahead of the competition. Welcome to the Australian Institute of Training and Career Development’s (AITCD) comprehensive “Split Testing” course, where we delve deep into this crucial facet of marketing strategy. Whether you’re a seasoned marketer looking to refine your skills or a newcomer eager to grasp the fundamentals, our course offers a thorough exploration of split testing methodologies, equipping you with the tools to make data-driven decisions and boost conversion rates.

Split testing, also known as A/B testing, is a technique used to compare two versions of a webpage, email, or advertisement to determine which performs better in terms of conversion metrics. The process involves dividing your audience into two groups and presenting each group with a different version, then analysing the results to identify the most effective approach. Through a series of engaging modules, our course covers everything from the basics of split testing to advanced strategies for optimisation. Participants will learn how to design experiments, interpret results, and implement iterative improvements, all while gaining practical experience through hands-on exercises and real-world case studies.

At AITCD, we understand that successful marketing hinges on the ability to harness data effectively. That’s why our Split Testing course goes beyond surface-level insights to provide a comprehensive understanding of the underlying principles and methodologies. From hypothesis formulation to statistical analysis, we guide you through every step of the process, ensuring you emerge with the confidence and expertise to drive tangible results for your business or clients.

Our course begins with an introduction to the principles of split testing, including the importance of hypothesis formulation and the key metrics to track. We then delve into the practical aspects of experiment design, exploring different testing methodologies, sample size calculations, and best practices for implementation. Participants will learn how to set up experiments using popular testing platforms, such as Google Optimize and Optimizely, and gain hands-on experience in crafting effective variations.

As the course progresses, we shift our focus to result interpretation and actionable insights. Participants will learn how to analyse split testing data using statistical techniques such as t-tests and chi-square tests, as well as how to draw meaningful conclusions from their findings. Through interactive discussions and group exercises, we explore real-world case studies and examine the impact of split testing on various marketing channels, from email campaigns to landing pages.

By the end of the course, participants will emerge with a comprehensive understanding of split testing methodologies and the confidence to apply them in diverse marketing scenarios. Whether you’re looking to optimise your website for higher conversions, refine your email marketing strategy, or enhance your advertising campaigns, our Split Testing course provides the knowledge and skills you need to succeed in today’s competitive landscape.

Join us at AITCD and take your marketing strategies to the next level with our Split Testing course. Enrol today and unlock the power of data-driven decision-making to drive measurable results for your business or clients.



Participants who successfully complete the “Split Testing” course will be awarded a Certificate of Completion which will can be verified online by prospective employers if required.

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What Will You Learn?

  • Understand the principles and methodologies of split testing (A/B testing).
  • Learn to design split testing experiments effectively.
  • Gain proficiency in interpreting split testing results and deriving actionable insights.
  • Develop skills in implementing iterative improvements based on split testing outcomes.
  • Acquire practical experience through real-world case studies and exercises.

Course Content

Course Contents

  • Introduction
  • Common Elements
  • Test Variations
  • Analysing Results

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