What does the Unlocking ROI course cover?
Unlocking ROI is covered here in 7 modules: Introduction to Marketing Mix Modelling: History and evolution of MMM, Data Preparation and Analysis: Handling missing data and outliers, Statistical Modelling: Handling multicollinearity and overfitting and 4 more. The outline lists 35 specific topics, opening with Defining Marketing Mix Modelling (MMM) and closing with future directions and trends in MMM.
How do you approach Unlocking ROI step by step?
The work is sequenced in 7 stages. It starts with Introduction to Marketing Mix Modelling: History and evolution of MMM, moves through Data Preparation and Analysis: Handling missing data and outliers and Statistical Modelling: Handling multicollinearity and overfitting, and ends at Advanced Topics in MMM: Future directions and trends in MMM.
What is in Module 1 of the Unlocking ROI course?
Module 1 is Introduction to Marketing Mix Modelling: History and evolution of MMM. It works through Defining Marketing Mix Modelling (MMM), history and evolution of MMM, key components of MMM: data, models, and metrics and 2 more. It sets the vocabulary the remaining 6 modules build on.
How is the Unlocking ROI course delivered?
The Unlocking ROI course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Unlocking ROI course cost?
The Unlocking ROI course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Marketing Mix Modeling, Marketing Mix Optimization, Unlocking Marketing Mix Modelling, Marketing Mix Modelling to Future-Proof Your Career.
More answers: what you get with every course, refund policy, all help answers.
Unlocking ROI: Mastering Marketing Mix Modelling for Data-Driven Decision Making
Course Overview
In this comprehensive course, you will learn the fundamentals of Marketing Mix Modelling (MMM) and how to apply it to drive business growth and maximize ROI. Through interactive lessons, hands-on projects, and real-world applications, you will gain the skills and knowledge needed to make data-driven decisions and stay ahead of the competition.Course Objectives
- Understand the principles of Marketing Mix Modelling (MMM) and its importance in marketing analytics
- Learn how to design, implement, and evaluate effective marketing mix models
- Develop skills in data analysis, statistical modeling, and data visualization
- Apply MMM to real-world business problems and case studies
- Gain expertise in using MMM to measure and optimize marketing ROI
Course Outline
Module 1. Introduction to Marketing Mix Modelling: History and evolution of MMM
- Defining Marketing Mix Modelling (MMM)
- History and evolution of MMM
- Key components of MMM: data, models, and metrics
- Benefits and limitations of MMM
- Real-world applications of MMM
Module 2. Data Preparation and Analysis: Handling missing data and outliers
- Data sources and collection methods
- Data cleaning, transformation, and preprocessing
- Exploratory data analysis (EDA) and data visualization
- Correlation analysis and feature selection
- Handling missing data and outliers
Module 3. Statistical Modelling: Handling multicollinearity and overfitting
- Introduction to statistical modeling: linear regression, logistic regression, and decision trees
- Model evaluation metrics: R-squared, mean squared error (MSE), and mean absolute error (MAE)
- Model selection and validation: cross-validation and bootstrapping
- Handling multicollinearity and overfitting
- Using regularization techniques: Lasso and Ridge regression
Module 4. Marketing Mix Modelling Techniques: Linear regression-based MMM
- Linear regression-based MMM
- Non-linear regression-based MMM: logistic regression and probit models
- Time-series analysis and forecasting: ARIMA and exponential smoothing
- Panel data analysis: fixed effects and random effects models
- Using machine learning algorithms: decision trees, random forests, and neural networks
Module 5. Model Evaluation and Validation: Communicating model results to stakeholders
- Evaluating model performance: metrics and benchmarks
- Model validation techniques: cross-validation and walk-forward optimization
- Handling model uncertainty: confidence intervals and prediction intervals
- Using sensitivity analysis and scenario planning
- Communicating model results to stakeholders
Module 6. Case Studies and Applications: Best practices for implementing MMM in your organization
- Real-world case studies: CPG, finance, and pharmaceutical industries
- Applying MMM to business problems: customer acquisition, retention, and churn
- Using MMM for marketing mix optimization and resource allocation
- Integrating MMM with other analytics techniques: customer segmentation and clustering
- Best practices for implementing MMM in your organization
Module 7. Advanced Topics in MMM: Future directions and trends in MMM
- Using big data and cloud computing for MMM
- Integrating MMM with machine learning and AI
- Using MMM for real-time decision-making and personalization
- Addressing data quality and data governance issues
- Future directions and trends in MMM
Course Features
- Interactive and engaging: hands-on projects, case studies, and real-world applications
- Comprehensive and up-to-date: covering the latest techniques and best practices in MMM
- Personalized learning: tailored to your needs and goals
- Expert instructors: seasoned professionals with extensive experience in MMM
- Certification: receive a certificate upon completion, issued by The Art of Service
- Flexible learning: self-paced, online, and accessible on any device
- User-friendly interface: easy to navigate and use
- Mobile-accessible: learn on-the-go, anytime, anywhere
- Community-driven: connect with peers and instructors through discussion forums and live webinars
- Actionable insights: apply MMM to real-world business problems and case studies
- Hands-on projects: practice and reinforce your skills through guided projects
- Bite-sized lessons: learn in manageable chunks, at your own pace
- Lifetime access: revisit and review course materials at any time
- Gamification: engage with the course through interactive quizzes, games, and challenges
- Progress tracking: monitor your progress and stay motivated