Market Segmentation
- Credits: 4
- Ending: Examination
- Range: 2C
- Semester: summer
- Year: 3
- Faculty of Commerce
Teachers
Included in study programs
Teaching results
By completing the course, students will gain knowledge about the importance of market segmentation for the successful activities of the company in the market. They will learn about the process of segmentation and the types of segmentation variables that can serve as a basis for segmentation. They will get acquainted with typologies and the process of their creation. They will learn how to use multidimensional statistical methods suitable for creating segments and for identifying differences between selected groups.
After completing the course, students will be able to define the nature of the data needed to create segments. They will learn to process the data collected in the statistical program and analyze them by various statistical methods. They will understand different clustering methods in cluster analysis and will learn to interpret the outputs of the statistical methods used. They will be able to create a profile of each segment and design appropriate marketing activities to address selected target groups.
Graduates of the course will acquire competencies in analyzing and solving problems and tasks of marketing management, especially in the field of creating segments, deciding on the selection of target groups and designing market coverage strategies. Upon successful completion of the course, students will be able to formulate requirements for information necessary for decision-making, will be able to process data into a form suitable for analysis, as well as select appropriate statistical methods taking into account the purpose of analysis and types of input data.
Indicative content
Introduction to market segmentation and its position within the main principles of marketing. The process of market segmentation from the creation of segments, through the selection of target groups to the design of a market position. Market coverage strategies and criteria for selecting suitable segments. Demographic, geographical, economic, psychographic and behavioral segmentation variables. Segmentation base and segment profile. Geo-demographic segmentation systems. Psychographic segmentation as a means of creating a typology of consumers. Segmentation by values and value systems according to the approaches of different authors. A-a priori segmentation and statistical methods aimed at detecting differences. Post-hoc segmentation, cluster analysis and clustering methods. Interpretation of results of statistical methods.
Support literature
1. Vokounová, D. 2006. Segmentácia trhu. Bratislava: Ekonóm.
2. Lesáková, D., Hanuláková, E., Vokounová, D. 2010. Marketingové analýzy. Bratislava: Daniel Netri.
3. Kotler, P., Keller, K.L. 2013. Marketing management. Praha: Grada Publishing.
Syllabus
1. Segmentation as one of the basic principles of marketing. Market segmentation process. Segment creation, target group selection, positioning. 2. Ways of market coverage. Criteria for successful segmentation. 3. Classification of segmentation variables. Measurable and non-measurable variables, demographic, psychographic and product-related variables. 4. Variables as a segmentation base and to create a segment profile. Selection of suitable variables. Creating a questionnaire. 5. Geo-demographic segmentation. Geo-demographic segmentation systems. Case study. 6. Psychographic segmentation and typology of consumers. Approaches to creating typologies. Case study. 7. Segmentation based on values. Value systems according to various authors (Rokeach, Kahle, Herche, Schwartz). 8. Statistical methods for detecting differences. 9. A-priori segmentation. Selection of an appropriate statistical method for detecting differences between selected groups. 10. Analysis and interpretation of a-a priori segmentation results. 11. Cluster analysis. Clustering methods in cluster analysis. 12. Post-hoc segmentation using cluster analysis. Selection of a suitable clustering method. 13. Analysis and interpretation of post-hoc segmentation results.
Requirements to complete the course
40 % continuous semester assessment
60 % written exam
Student workload
Workload: 104 hrs
Attendance at lectures: 0 hrs
Attendance at seminars: 26 hrs
Preparation for seminars: 39 hrs
Elaboration of a semester project: 0 hrs
Preparation for written verification of knowledge: 0 hrs
Preparation for the exam: 39 hrs
Language whose command is required to complete the course
Slovak
Date of approval: 06.03.2024
Date of the latest change: 13.01.2022