Topics
CUPED is an incredibly powerful technique to speed up your tests, if you have pre-experiment data on returning visitors.
In this webinar, you will:
Visualize the relationship between power, variance, and sample size.Understand how CUPED reduces the variance in your target metric.Observe the simulational proof of CUPED reducing variance in data.See what you need to apply CUPED in your own A/B tests.Audience
This talk is for you if:
You have been hearing about CUPED but never fully understood what it is about.You are dealing with metrics like revenue that have a high variance, leading to large sample sizes.More often than not, your tests are underpowered and do not reach significance.You are curious about understanding advanced statistical techniques through interesting analogies.After this talk, you will have the relevant intuition to decide if you can use CUPED for boosting power in your tests or not.
Hi! I am a statistician, a teacher and the founder of Thinking Bell.
I am known for simplifying experimentation with analogies, doodles, and games that make decisions sharper and science practical.
I have led data science research at VWO and recently taught 60 leaders at The Economist. I have authored the VWO Stats Blog and have delivered 15+ talks for experimenters.
Join me to master experimentation with clarity, depth, and fun.
Stat-Talk #9
Reduce Variance with CUPED
Run Faster Tests on Revenue Metrics
Curious to Dive Deeper?
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Join the 30-student cohort and master A/B testing stats through live classes, games, and community.