Conduct deep-dive analyses on retention, repeat rate, churn, cohorts, LTV, and lifecycle KPIs

Analyze customer behavior across the funnel (first purchase → repeat → loyal customer)

Perform exploratory data analysis (EDA) to answer ad-hoc retention and lifecycle questions

Identify drivers of churn and loyalty, delivering root-cause analysis with actionable recommendations

Build and maintain cohort-based and predictive models (churn prediction, LTV forecasting)

Design and analyze A/B tests and lifecycle experiments (email, SMS, loyalty, offers, timing)

Support incrementality measurement for retention initiatives and CRM campaigns

Apply regression and time-series models to forecast retention and repeat revenue trends