Embark on an exciting journey to master CRO: each lesson is a step towards your success!
This first course aims to introduce you to CRO in a simple way. You will learn the basics of CRO, the necessary people, the implementation process, and how to launch a first AB test.
But what is CRO actually? We will start with a definition.
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Nothing beats a little masterclass to get a complete view of CRO (Conversion Rate Optimization) and experimentation in general. The Ah Ah moment that will change your perception!
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We will see examples of tests to concretely materialize the application of CRO in real use cases. Theory is good, practice is better!
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A/B Test, A/B/n Test, Multivariate Test, Bandit Test, A/A Test... Wait, what are all these tests? Don't worry, we will explain it all to you ;)
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Alone we go faster, together we go further... Well, that's a bit how it is in CRO. In itself, it takes a lot of different skills to implement effective experimentation processes.
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Yes, you thought you wouldn't have to get your hands dirty... Well, not here. You will have to do your first test! Learning by doing!
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Now, we learn how to analyze test results in a simple way in the AB testing tool. The idea is to make you autonomous as quickly as possible!
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Oh, it's already the end of the stage... Let's summarize your learning and provide feedback to improve this course.
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Once you have a global vision, we will start getting serious with the course on Learning the Basics of CRO.
This course is specially designed to guide you through the intricacies of CRO, provide you with proven strategies, and help you understand how to effectively use these techniques to improve your business.
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What do we base our decisions on; intuition or data? And what if neither is the best approach.
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There are so many myths surrounding experimentation, it's time to clarify it all!
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Don't let chance choose for you. There is a much more effective process than simply taking risks.β οΈ
Experimentation is a tool π οΈ, and like any tool, it cannot solve all types of problems.
Experimenting without a real strategy is a waste of time and money.
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Understanding how your business generates growth and profit to continue growing and expanding.
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To generate more growth, we will need to identify customer problems to find improvement opportunities.
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To understand the outcome of an improvement, we must first identify its measures and their contribution to the business objectives.
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To prioritize problems, we define a prioritization grid in line with our quarterly or annual business objectives.
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There are several ways to find solution hypotheses to identified problems, but we need to be careful with HIPPOs.
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There are many prioritization models, here we cover the two most well-known for experimentation.
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Finding solutions to problems is not easy. In this lesson, we detail all the axes for identifying solutions to test.
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Some solutions can be implemented immediately, while others need to be A/B tested.
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There are three considerations to prioritize the order of tests based on ROI; the cost of the test, the expected gain, and time.
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How to prioritize our tests based on their potential profitability? What is the ROI or ROTI for each test?
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Should we launch tests simultaneously or sequentially? And at the variation level, what about testing?
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The quality of a brief defines the quality of the final output. So, let's see how to create a detailed brief for necessary designs for tests.
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A test plan should detail all the elements of the test; the hypothesis, the source of the hypothesis, the problem we are addressing...
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The responsibility for proper development according to the brief lies with the technical team, while the PM or CRO manager validates the implementation.
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Statistical significance, or significance level, refers to the threshold at which the results of a test are considered reliable.
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An A/B test is designed to determine which variant (A or B) performs better in achieving a specific goal, but it's not that simple.
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Should we use the frequentist method or Bayesianism? In this lesson, we will discover both methods to determine which one to use.
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Do you know what an A/A test is? Should you conduct an A/A test? Let's find out together.
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Do you know the steps to launch a test? It's time to discover all of that.
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We will learn how to analyze tests. Test analysis is a crucial step to understand the obtained results and draw relevant conclusions.
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Launching tests is good, but understanding the true return on investment (ROI) of those tests is better.
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And now, we reach the end of the journey where we have the opportunity to present the detailed results of the tests we have conducted.
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Je te contacterai dès que tout est aux petits oignons ;)