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Build a comprehensive analytics framework that identifies growth opportunities and drives revenue optimization across all channels.
Build machine learning models to predict customer churn, identify at-risk accounts, and deploy proactive retention strategies that protect revenue.
Deploy dynamic pricing algorithms using machine learning to optimize prices in real-time, balancing revenue goals with demand elasticity and competition.
Build accurate CLV prediction models using machine learning to optimize customer acquisition spend, prioritize retention, and maximize long-term profitability.
Implement sophisticated attribution models to accurately measure marketing channel ROI, optimize budget allocation, and understand customer journey impact.
Apply rigorous experimentation frameworks, statistical testing, and behavioral analytics to systematically improve conversion rates and revenue per visitor.