Forecasting Models for Marketing Decisions
Master Excel-based forecasting techniques to predict customer behavior and optimize marketing decisions.
Master Excel-based forecasting techniques to predict customer behavior and optimize marketing decisions.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Foundations of Marketing Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.4
(77 ratings)
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Develop Excel-based forecasting models
Analyze customer behavior patterns
Create marketing mix optimization models
Evaluate forecasting model performance
Implement customer equity analysis
Skills you'll gain
This course includes:
3 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course teaches students how to develop and use forecasting models for marketing decisions using Microsoft Excel. The curriculum covers fundamental forecasting components, regression-based modeling, and marketing mix analysis. Students learn to predict customer behavior, evaluate model performance, and assess marketing action effectiveness. Through practical exercises, participants develop skills in customer analytics, retention modeling, and marketing mix optimization.
Basics of Forecasting Models
Module 1 · 2 Hours to complete
Customer Analytics: Predicting Individual Customer Behavior
Module 2 · 4 Hours to complete
Managing Customer Equity: Linking Customer Analytics to Customer Value
Module 3 · 1 Hours to complete
Marketing Mix Modeling
Module 4 · 3 Hours to complete
Fee Structure
Instructor
Expert in Marketing and Consumer Analytics
David A. Schweidel is an Associate Professor of Marketing at Emory University, focusing on customer relationship management and social media analytics. He has published extensively and authored two books on leveraging consumer data for marketing.
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4.4 course rating
77 ratings
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