Marketing Analytics (B-KUL-HMA90A)

6 ECTSEnglish39 First termCannot be taken as part of an examination contract
OC Business Administration FEB Campus Brussel

The Marketing Analytics course aims to familiarize students with advanced research methods that are indispensable in today’s marketing environment. Increasing levels of digitization offers an abundance of data about customers, brands and markets to marketing managers. These data allow the marketing managers to develop, evaluate and/or adjust their marketing strategy.

 

In this course, students will be introduced to recent quantitative research methods in the marketing arena, be offered insights into how these methods work, and how these methods can be applied to marketing problems using appropriate software.

 

The abundance of data also creates growing concerns about the responsible use of these data. Hence, we will discuss issues about privacy and corporate digital responsibility.

Students following this course should understand the basics of statistics. They should be familiar with statistical techniques like correlation analysis, linear regression analysis, and analysis of variance, among others. Preferably, students have followed the courses Research Methods 3, Statistics for Business 2, and Mathematics for Business B. In addition, students should have followed an introduction to marketing course and master the basics of marketing.

Activities

6 ects. Marketing Analytics (B-KUL-HMA90a)

6 ECTSEnglishFormat: Lecture39 First term
OC Business Administration FEB Campus Brussel

The course will cover several Marketing Analytics topics, such as:

- Introduction to marketing analytics

- Market segmentation

- Customer analytics

- Marketing experiments

- Analysis of unstructured data in marketing

- Privacy and corporate digital responsibility

The topics can vary from year to year, depending on recent advancements in marketing analytics.

  • Slides,
  • Scientific articles
  • Datasets will be posted on Toledo

Computer session - Group assignment - Traditional lecture

The course will consist of a number of lectures in which the different techniques are presented, as well as material that should be processed before the start of a lecture.

A number of sessions will be held in a computer room, during which the students can learn how to work with the various techniques.

Evaluation

Evaluation: Marketing Analytics (B-KUL-H75923)

Type : Partial or continuous assessment with (final) exam during the examination period
Description of evaluation : Written, Paper/Project
Type of questions : Open questions
Learning material : None


Evaluation caracteristics

  • Written exam with open questions (closed book)
  • Paper about marketing analytics project (group project)

 

Determination final result

Written exam: 60%

Group project: 40%

The features of the evaluation and determination of grades are identical to those of the first examination opportunity. Students only need to retake those parts of the evaluation criteria for which they failed initially.