March 5, 2026
Why experimentation is becoming an operating model for smart organizations
A conversation with Valentin Radu, founder of Omniconvert, on experimentation as an operating model, AI and sustainable digital growth. Read more
Data collection has become much easier since the advent of the Internet. Every action and click of a user on a website is measured and can therefore be analyzed. Super interesting when you are looking for optimization opportunities for your website. But when you have all that data at your disposal, where do you start your search and where do you end?
Large amounts of data unfortunately do not automatically lead to interesting, reliable and valid insights. In fact, it is often more difficult to gather actionable insights as the amount of data increases. A clear goal and well-structured approach is therefore crucial.
Conversion optimization is an interdisciplinary field. Areas of expertise such as process, data, psychology and UX design are combined to structurally optimize the online dialogue with the user. As a conversion specialist, you must therefore have knowledge of all these disciplines if you want to guide a successful optimization program.
In the conversion specialist course Learn the ins and outs of conversion optimization in four mornings. During day one you will focus on process and method, while during day two you will dive into the world of data. In one morning you will learn what to look for in the data and which questions to ask to ensure the quality of the data analysis.
We start the day with data quality. Not the sexiest topic, but very important to perform reliable analysis. Topics covered are the analytics check, checks with back end systems and setting up additional measurements. Because a good analysis stands or falls with the quality of your data.
Next, we dive deeper into analysis. What do you look at when you have a whole mountain of data at your disposal? Where do you start? But more importantly, when do you stop? How do you avoid staring blindly at a small segment while ignoring the big mountain? How do you combine different data sources so that together they tell a story? And how do you turn this mountain of data into insights you can really use?
We continue the morning with a brief introduction to statistics. And yes, this is difficult, and no, you will not be an experienced statistician after this introduction. But within the field of CRO, at a minimum, you should have knowledge of the basics of statistics. Normal distributions, false positives and false negatives, terms you will all hear during the course. We will also dive deeper into the world of power analysis and prioritization. You'll learn how to calculate the correct sample size and how to figure out where your optimizations will have the most impact.
We end the morning with a practical guide to analyzing an experiment. What should you pay attention to and what are the pitfalls? But above all, what do you learn from an experiment? And how can we take the insights into the whole picture?
After attending the data day of conversion specialist training, you will be more aware of the pitfalls of data analysis and know exactly how to turn that bin of data into the actionable insights you need to increase the impact of your optimizations.
Want to know how to grow conversion rate effectively? What your data is trying to tell you? How your customers think? And what steps you need to fulfill if you want to optimize structurally? Then sign up for the conversion specialist course!
“The training gives a lot of insight into the how and why of CRO and helps to structure it. What research is needed to create good hypotheses, so you don't just haphazardly start testing something. Analyzing more on behavior, because this is broader than just some graphs. After all, if you understand your customer you can do a lot more with this.”