Tilburg University (UVT) • Marketing Management

Comprehensive end-term summary covering Topics 1–9! This summary includes all key slides, detailed notes, illustrative figures, and real-world examples discussed in class, helping you fully grasp each concept. Each topic concludes with practical questions to test your understanding and prepare you for success. Additionaly, at page 70 you will find extra questions & solutions.

This document includes a summary of required articles that need to be read for the course pricing and monetization strategies. These articles are required to be studied for the exam of pricing and monetization strategies.

This document provides all four necessary team assignments that count for the final grade of pricing and monetization strategies. Assignment 1 is about Conjoint Analysis, Assignment 2 is about Simple Profit Maximisation, Assignment 3 is about Bundling, and Assignment 4 is about Customer Lifetime Value (CLV). These assignments can be practiced for the exam since exam questions will look very familiar to the assignment questions/cases.

This summary of Marketing Communications includes all notes from lectures as well as input from the interactive lectures which can be used as best practice examples. All these slides from the lectures with the notes form an extensive summary including many practical examples from the interactive lectures. However, this is not a summary of the book!

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All lecture notes of the course brand management, year .

Summary of all mandatory articles for the exam of the course brand management, of the master's program Marketing Management.

This is a summary of all lectures including class notes for strategic marketing. For instance it covers the following topics discussed in class: game theory, decision making, biases in marketing, innovation, incremental and radical innovations, adoption, pricing strategies, price elasticity, sustainability in marketing, CSR, and Customer Experience.

This document includes all the necessary codes to pass the assignments for R for the course Introduction to Research in Marketing. Each week the assignments differ in different versions, however only small indicated changes need to be made in the coding in the first few steps to cover the different versions of the assignment or only a different number needs to be read from the output.

This summary of Introduction to Research in Marketing includes all lectures with notes as well as a practice exam at the end of all the notes and lectures. - lecture 1: exploratory data analysis, sampling, framework errors - lecture 2: ANOVA - lecture 3 & 4: Linear Regression - lecture 5: Logistic Regression - lecture 6: Factor Analysis - lecture 7: Cluster Analysis - Practice Exam, including answers