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Marketing Analytics

Chapters

11. Introduction to Marketing Analytics

22. Data Collection & Tracking

33. Data Management & Engineering

44. Exploratory Data Analysis & Visualization

55. Digital Analytics: Web, Social & Mobile

66. Customer Analytics & Segmentation

Customer Lifetime Value (CLV) Fundamentals Recency, Frequency, Monetary (RFM) Segmentation Behavioral and Psychographic Segmentation Churn Detection and Retention Metrics Propensity Modeling Basics Customer Journey Stages and Mapping Value-Based Segmentation for Targeting Lookalike and Audience Modeling Segmentation Maintenance and Automation Measuring Segment Lift and Performance

Courses/Marketing Analytics/6. Customer Analytics & Segmentation

6. Customer Analytics & Segmentation

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Understanding customer behavior through segmentation, lifetime value, churn analysis, and lifecycle modeling.

Content

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Churn Detection and Retention Metrics

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