In this episode of Golden Nuggets for Experimentation, I'm talking about Minimum Detectable Effect (MDE), a key concept in conversion optimization. MDE is a way of measuring the smallest change in conversion rate that you're willing to detect in an experiment. It's important to set a realistic MDE for your experiments, because if you set it too low, your experiment might not have enough statistical power to detect a real difference.
In this episode, I'll explain what MDE is, how to calculate it, and how to use it to design and run more effective experiments. I'll also share some tips for setting a realistic MDE for your specific goals and resources.
If you're interested in learning more about MDE and how to use it to improve your conversion rates, then I encourage you to listen to this episode.
Here are some of the things you'll learn in this episode:
What is MDE and how do you calculate it?
Why is it important to set a realistic MDE?
How to use MDE to design and run more effective experiments
Tips for setting a realistic MDE for your specific goals and resources
I hope you'll listen to this episode and learn more about how to use MDE to improve your conversion rates.
Thanks, Sander
P.S. If you enjoyed this episode, please subscribe to the show and leave a review. You can also find more information about me and my work at gnexperimentation.substack.com and sandervolbeda.com.
