MKT 619: Customer (Lifecycle) Management
Contents
This course provides an in-depth understanding of customer lifecycle management, covering the processes of acquiring, developing, retaining, and reactivating customers. It focuses on how firms can manage customer relationships strategically across different lifecycle stages to maximize customer lifetime value. Students will explore key concepts such as customer journey mapping, segmentation, personalization, CRM systems, and data-driven decision-making. The course combines conceptual foundations with practical applications, including case studies and tools used in modern customer management. Special emphasis is placed on digital channels, automation, and AI-driven customer engagement.
Learning outcomes
Upon successful completion of this course, students:
- are able to analyze and design customer lifecycle strategies across acquisition, retention, and development phases.
- understand the role of customer data, analytics, and CRM systems in managing customer relationships effectively.
- are able to evaluate and optimize customer journeys and touchpoints using relevant frameworks and metrics (e.g., CLV, churn, conversion rates).
Necessary prerequisites
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Recommended prerequisites
Bachelor-level knowledge of marketing and/
| Forms of teaching and learning | Contact hours | Independent study time |
|---|---|---|
| Lecture | 1 SWS | 5 SWS |
| ECTS credits | 2 |
| Graded | yes |
| Workload | 60h |
| Language | English |
| Form of assessment | Case study analysis (40%) / Group presentation (30%) Only one examination date per semester! |
| Restricted admission | yes |
| Further information | Student Portal |
Examiner Performing lecturer | ![]() | Prof. Dr. Florian Stahl Dr. Philipp Schmitt |
| Frequency of offering | Spring semester & fall semester |
| Duration of module | 1 semester |
| Range of application | M.Sc. MMM, M.Sc. WiPäd, M.Sc. VWL, MAKUWI, M.Sc. MMOSCM |
| Preliminary course work | – |
| Program-specific Competency Goals | CG 1, CG 2, CG 3 |
| Literature |
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| Course outline |
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