Marketing Funnel Optimization and Experimentation Questions

Using data and controlled experimentation to improve conversion across marketing funnels. Subjects include mapping the funnel and instrumenting events and metrics for each stage, identifying bottlenecks, framing hypotheses and prioritizing experiments by impact, designing and running A B tests and controlled experiments with appropriate sample size considerations, segment and personalization strategies, post experiment analysis including effect size and significance interpretation, attribution considerations, and implementing technical or workflow changes to capture gains. Candidates should be able to describe concrete experiments, metric definitions, and how findings influenced product or marketing decisions.