Tim Wilson explains how to define success through hypothesis-driven testing and moving from vague ideas to specific, measurable initiatives in the analytics space.
Tim Wilson explains how to define success through hypothesis-driven testing and moving from vague ideas to specific, measurable initiatives in the analytics space.
This episode covers the practical application of incrementality testing, explaining how to measure the true impact of ads through controlled experiments.
Sean Frank and Austin Harrison challenge common advice on e-commerce measurement, focusing on experimental design and the nuances of long-term vs. short-term testing.