By the end of this course, learners will be able to analyze real marketing data, apply structured decision frameworks, build and interpret predictive models, and evaluate customer targeting strategies using analytics-driven insights.
This course equips learners with practical marketing analytics skills required to make informed, data-driven marketing decisions in modern organizations. Learners will progress from understanding CRM and marketing decision frameworks to working with real-world marketing data, generating actionable insights, and applying predictive models such as logit models for retention and targeting. The course emphasizes how data analysis translates into meaningful marketing implications—focusing on who to target, how to engage customers, and how to allocate resources effectively.
Learners will benefit by developing analytical thinking, improving their ability to interpret marketing data, and gaining hands-on exposure to models widely used in industry. What makes this course unique is its strong integration of decision frameworks, real marketing datasets, and predictive modeling, ensuring learners not only understand analytics concepts but also know how to apply them in practical marketing contexts. This course is ideal for professionals and students seeking to strengthen their data-driven marketing decision-making capabilities.
This module introduces learners to the foundations of marketing analytics by explaining how customer data, analytical frameworks, and real-world datasets are used to structure marketing problems, generate insights, and support data-driven decision-making.
涵盖的内容
8个视频4个作业
显示有关单元内容的信息
8个视频•总计63分钟
Introduction to CRM and Marketing Analytics•2分钟
Marketing Problems and CCMF•7分钟
Real Marketing Data•7分钟
How CCM Decision Made Differently•10分钟
Log Linear Data•7分钟
Data Analysis•8分钟
DSA-Initial Marketing Insights•10分钟
Summary Output•11分钟
4个作业•总计60分钟
Marketing Analytics & Decision Frameworks•10分钟
Working with Real Marketing Data•10分钟
From Data to Initial Insights•10分钟
Foundations of Marketing Analytics & Data Thinking•30分钟
Modeling, Prediction & Targeted Marketing
第 2 单元•小时 后完成
单元详情
This module focuses on predictive modeling techniques used in marketing analytics, including logit models, utility theory, likelihood estimation, and targeting strategies to support retention analysis and high-impact marketing decisions.
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