Forecasting Models for Marketing Decisions
- 4.3
-
![]()
![]()
![]()
![]()
Course Summary
Learn how to use forecasting models to make better marketing decisions in this course. You will gain a deep understanding of different forecasting techniques and how to implement them to improve your marketing strategies.Key Learning Points
- Understand the importance of forecasting in marketing decision-making
- Learn different forecasting techniques and their applications
- Explore real-world case studies and examples
Related Topics for further study
- Forecasting techniques
- Marketing decision-making
- Real-world case studies
- Marketing analytics
- Data analysis
Learning Outcomes
- Apply forecasting techniques to improve marketing decisions
- Design and implement a forecasting model
- Evaluate the effectiveness of forecasting models for marketing
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics and data analysis
- Familiarity with Excel or a similar software program
Course Difficulty Level
IntermediateCourse Format
- Online self-paced
- Video lectures
- Real-world case studies
Similar Courses
- Marketing Analytics
- Data Analysis and Presentation Skills: the PwC Approach
- Marketing Mix Implementation
Related Education Paths
Notable People in This Field
- Neil Patel
- Avi Goldfarb
Related Books
Description
How will customers act in the future? What will demand for our products and services be? How much inventory should we order for the next season? Beyond simply forecasting what customers will do, marketers need to understand how their actions can shape future behavior. In Developing Forecasting Tools with Excel, learners will develop an understanding of the basic components of a forecasting model, how to build their own forecasting models, and how to evaluate the performance of forecasting models. All of this is done using Microsoft Excel, ensuring that learners can take their skills and apply them to their own business problems.
Outline
- Basics of Forecasting Models
- Approaches to Forecasting
- Regression - Based Modeling
- Examining the Residuals
- Assessing Forecasting Performance
- Simple Forecasting Model Assignment
- A Predictive Analytics Primer
- Nowcasting: A Model for the Future of Marketing
- Module 1
- Customer Analytics: Predicting Individual Customer Behavior
- How to Use Customer Centric Analytics
- Business Decisions Drive Customer Choices
- Illustrating Customer Acquisition in Excel
- Timing Models in Marketing
- Model for Retention Excel Demonstration
- Kiwi Bubbles Exercise Excel Demonstration
- Read This First
- Leveraging Customer Analytics: The Insurance Industry
- Companies still struggle to unlock customer data analytics insight
- Retention Exercise Instructions
- Kiwi Bubbles Instructions
- Module 2
- Managing Customer Equity: Linking Customer Analytics to Customer Value
- Managing Customer Equity
- Acquisition, Retention, & Market Value
- Customer Valuation
- Marketing to New & Current Customers
- What You Should Know About Customer Success Technology
- Online Communities Foster Customer Loyalty
- Marketing Mix Modeling
- Marketing Mix Modeling
- Instructions for Exercise
- Instructions for Exercise
- Instructions for Exercise
- Conducting Exploratory Analysis Quiz
- Building a Marketing Mix Model Quiz
Summary of User Reviews
This course on Forecasting Models for Marketing Decisions has received positive reviews from many users. They have praised its content and found it to be informative and engaging. One key aspect that users thought was good is the practicality of the course material.Pros from User Reviews
- The course material is informative and engaging.
- The instructors are knowledgeable and provide practical insights.
- The course provides hands-on experience with forecasting models.
- The course material is well-organized and easy to follow.
- The course covers a variety of forecasting models that are useful for marketing decisions.
Cons from User Reviews
- Some users found the course to be too basic.
- The course could benefit from more advanced topics.
- The course lacks depth in some areas.
- Some users found the course to be too theoretical.
- The course could benefit from more real-world examples.
David Schweidel
4.3 Raiting
Introduction to Time Series Analysis and Forecasting in R
- 4.5
-
![]()
![]()
![]()
![]()
![]()
Work with time series and all sorts of time related data in R - Forecasting, Time Series Analysis, Predictive Analytics Understand the Now – Predict the Future!...
Mastering Data Science and Machine Learning Fundamentals
- 4.2
-
![]()
![]()
![]()
![]()
![]()
A Beginner Course in Data Science, Machine Learning, Regression, Classification and Clustering in 2020 [THEORY ONLY] A comprehensive course that will teach you how Data Science and Machine Learning Work....
Python and Machine Learning for Asset Management
- 3
-
![]()
![]()
![]()
![]()
![]()
This course will enable you mastering machine-learning approaches in the area of investment management. Introducing the fundamentals of machine learning Welcome to the Python Machine-Learning for Investment management course...
Strategic Innovation: Building and Sustaining Innovative Organizations
- 4.8
-
![]()
![]()
![]()
![]()
![]()
Innovation strategy is about creating unique value for consumers by delivering a great product that satisfies their needs. You will be able to:...
