A rate of action by itself doesn’t tell you if it is good or bad. Most rates of action are used in correlative data sets and lead to poor recommendations.
In this video, I will show you a common example of how rates of action are used improperly. We will also discuss the two things needed to make your rates of action actionable.
- Comparable data sets
- Causal data
Testing Theory is where professional testers turn to do better A/B testing and get more conversions.