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10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages
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Data-Driven Marketing
( 24 Modules )

Module #1
Introduction to Data-Driven Marketing
Overview of data-driven marketing, its importance, and benefits
Module #2
Understanding Customer Data
Types of customer data, data collection methods, and data quality
Module #3
Data Analysis Fundamentals
Introduction to data analysis, data visualization, and statistical concepts
Module #4
Marketing Analytics Tools
Overview of popular marketing analytics tools, such as Google Analytics, Mixpanel, and Adobe Analytics
Module #5
Segmentation, Targeting, and Positioning (STP)
Understanding STP framework and how to apply it in data-driven marketing
Module #6
Customer Journey Mapping
Creating customer journey maps to understand customer behavior and pain points
Module #7
A/B Testing and Experimentation
Introduction to A/B testing, experimentation, and how to measure results
Module #8
Predictive Analytics
Introduction to predictive analytics, models, and algorithms
Module #9
Customer Lifetime Value (CLV) Analysis
Understanding CLV, calculating CLV, and its applications
Module #10
Marketing Mix Modeling
Introduction to marketing mix modeling, and how to optimize marketing spend
Module #11
Data-Driven Customer Acquisition
Using data to optimize customer acquisition strategies
Module #12
Data-Driven Customer Retention
Using data to optimize customer retention strategies
Module #13
Personalization and Recommendation Systems
Introduction to personalization, recommendation systems, and their applications
Module #14
Content Marketing Analytics
Measuring the effectiveness of content marketing strategies
Module #15
Social Media Analytics
Measuring the effectiveness of social media marketing strategies
Module #16
Email Marketing Analytics
Measuring the effectiveness of email marketing strategies
Module #17
Search Engine Optimization (SEO) Analytics
Measuring the effectiveness of SEO strategies
Module #18
Paid Advertising Analytics
Measuring the effectiveness of paid advertising strategies
Module #19
Data-Driven Storytelling
Using data to tell compelling stories and communicate insights
Module #20
Data Governance and Ethics
Importance of data governance, ethics, and privacy in data-driven marketing
Module #21
Agile Marketing and Iteration
Applying agile principles to data-driven marketing and iteration
Module #22
Marketing Attribution Modeling
Introduction to marketing attribution modeling and its applications
Module #23
Data-Driven Marketing Automation
Using data to automate marketing processes and workflows
Module #24
Course Wrap-Up & Conclusion
Planning next steps in Data-Driven Marketing career


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