1572 Customer Relationship Management
Univ.Prof. Dr. Thomas Reutterer, Filipe Sengo Furtado, MSc (WU)
  • LV-Typ
  • Semesterstunden
  • Unterrichtssprache
11.09.2018 bis 21.09.2018
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Bachelor
Wochentag Datum Uhrzeit Raum
Dienstag 27.11.2018 08:45 - 12:00 TC.4.18
Dienstag 27.11.2018 12:45 - 17:30 TC.4.17
Mittwoch 28.11.2018 09:00 - 13:00 TC.3.12
Mittwoch 28.11.2018 13:45 - 19:45 TC.4.14
Donnerstag 29.11.2018 13:00 - 18:00 D2.2.487
Freitag 30.11.2018 10:00 - 15:00 D2.2.487
Dienstag 04.12.2018 09:00 - 12:00 D1.1.074

Inhalte der LV

Important notice: Please read the syllabus carefully before enrolling and/or contacting the instructors. E-mails that can be answered by reading the syllabus will not receive a response.

For many companies, the growing importance of "customer relationship management" (CRM) entailed a shift from a product-centric firm strategy towards focusing on the individual customer as the most critical unit of marketing decision making. Such customer-centric view sees customers as intangible assets of a firm, which need to be valued and managed carefully. CRM has therefore become a crucial focus for many companies as it promises to be a key determinant of future profitability.

In this course we address the strategic and operational principles that are at the heart of every successful CRM implementation. We will develop an understanding of concepts such as customer centricity, customer lifetime value, customer equity, or customer retention, and discuss how data-rich environments and data science (will) impact marketing practice. CRM strategy implementation in the areas of loyalty programs, services, and complaint management will be examined. The course will expose participants to an integrated view of CRM theory and practice, with case study analyses and corporate experience constituting a major course element.

When discussing marketing metrics relevant for customer valuation, some of the course content will be rigorous but not excessively analytic. Throughout the course we will focus on “real world” practical examples covering a broad range of industries/applications, but also tie them back to relevant academic work.

Lernergebnisse (Learning Outcomes)

The aim of this course is to develop an understanding of a customer-centric view of the firm and implications for CRM applications. More specifically, the course will provide students with insights on:

  • What are the fundamental differences between product- and customer-centricity?
  • What is the idea and the specific managerial value of building and sustaining long term customer relationships?
  • How can CRM enhance organizational performance?
  • What is the role of measuring and managing customer satisfaction, customer loyalty, customer profitability, and lifetime value?
  • What is the strategic importance of CRM, and how are CRM strategies implemented?

Regelung zur Anwesenheit

Due to the blocked structure of the course, students must attend every session. 


The course integrates various teaching methods such as interactive lectures, class discussions, case analyses, and group work. Substantial classroom discussion is encouraged and expected. Attendance and participation in class discussions is critical to the success of the course and will be part of your grading. Classes will begin on time so do not arrive late. Students are required to turn in assignments at their scheduled times.

Course materials:

  • To get prepared for in-class case discussions a case study package will be provided.
  • Daily student packages including reading assignments, course slides, datasets, case questions for the respective day will be provided via the learn@wu platform in due course. 

Leistung(en) für eine Beurteilung

Grading will be based on a ranking approach. For each and every component, the best student(s) will be awarded full points and the remaining students will be graded in proportion to their performance in comparison to the best student. Grading will be based on the following components:

  • In-class participation (10%)
  • Case Study 1 (20%)
  • Case Study 2 (20%)
  • Final project (50%)


Due to the intensive nature of the course, full attendance is required. 

Students who do not attend at least 80% of the hours will automatically fail the course. 


In-class participation (10%)

Case Studies (20% + 20%)

Both case studies should be solved in groups. Further details will be provided.

Final project (50%)

The group project will focus on the presentation, analysis, and critical reflection of state of the art examples of contemporary CRM applications in practice. Students are expected to present their findings in 15 minutes during the last session. In addition to the group presentation, the groups are required to hand in a write-up of their group project analysis which should also address specific issues raised during the presentation and in-class discussion of their case.

Peer evaluation

Students will be asked to assess their colleagues’ performance by assigning 100 points among all the group members (including themselves). The distribution of the points will determine the proportion of the points awarded to the respective group members. This means that the peer evaluation can affect a student’s performance both positively and negatively.

If there is an unequal distribution of the points in a group, the group members will be asked to write an exposé stating their reasons for agreeing or disagreeing with the final distribution of the points. If at least one of the members disagrees with the final distribution of the points, all the students will be subjected to an individual oral exam which will replace the entire grading on their group performance.

Class attendance

To benefit most from the course, active participation in class discussions and group work are a very important ingredient. Because of the blocked format it is absolutely necessary to attend all sessions. Exceptions will not be tolerated and limited to medical reasons.

Plagiarism policy

Fraud and plagiarism will be punished by failing the course.

Teilnahmevoraussetzung(en) und Vergabe von Wartelistenplätzen

Good analytical skills; some background knowledge in basic concepts of management accounting is of advantage.

Empfohlene inhaltliche Vorkenntnisse

Students should have a basic understanding of at least one analytical tool (Excel, SPSS, R, etc.).
Zuletzt bearbeitet: 20.06.2018