Rajat Raj. I guide people aspiring for data analytics and BI roles.
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Metric drop investigation — segmentation before hypothesis
Feature adoption vs. retention — selection bias and matched cohorts
A/B test peeking and proxy metric failure — statistical validity
Cohort retention and LTV compression — acquisition quality divergence
Pricing elasticity — break-even modeling before experimentation