AI for Data-Driven Marketing Strategy and Operations
Build marketing data foundations, interpret predictive churn/CLV/propensity models, design experiments and incrementality tests, connect scores to lifecycle journeys and govern optimization decisions
Build marketing data foundations, interpret predictive churn/CLV/propensity models, design experiments and incrementality tests, connect scores to lifecycle journeys and govern optimization decisions
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Recorded Udemy course advertised with a public course preview. Exact lesson count may be unknown. Purchase or organization-subscription terms and current availability require checking
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Marketing analytics applies causal analysis and AI/ML predictive models to customer behavior, text/sentiment/topic/network analyses to user, firm and AI-generated content, and conjoint analysis to preference, examples address CLV, churn…
Four modules and five assignments. Intermediate. Coursera estimates two weeks at ten hours per weekCheck current priceEnglish