Programs

Digital Marketing

Digital data in marketing

  • Class 30
  • Practice 30
  • Independent work 90
Total 150

Course title

Digital data in marketing

Lecture type

Obligatory

Course code

20-04-004

Semester

1

ECTS

5

Lecturers and associates

Course objectives

The objective of the course is to develop students' awareness about the approach to analysis, structuring, recording, use and business interpretation of digital data from various sources for business and marketing purposes together with the acceptance of changes occurring in technology and society, especially in communications and communicating. The importance of this approach is based on the evident ongoing shift in market paradigm through globalization, new technologies and positions of all participants in the market. The premises of the course aim to explain students why and how they can manage digital data in marketing, how to monitor customer journey, how the ways of accessing data changed over time (and are still changing) and how to develop marketing message relevance based on data. In addition to practical concepts, students are introduced to modern tools and sources of data and knowledge. Students will be able to develop conceptual models for prospective and retrospective customer value, conceptual BSC model, conceptual churn model.

Content

The course includes topics/lectures that correspond to two-hour sessions. At least one session is reserved for a guest lecture that will be incorporated within the final section of lectures considering the availability of lecturers.

Required reading

1. Data-Driven Marketing the 15 metrics everyone in Marketing should know - Mark Jeffry, Wiley

Additional reading

1. Raskino, Waller (Gartner) „Digital to the core“
2. Seybold „The Customer Revolution“
3. Brown, Tim „Change by Design“
4. Hsieh, Tony „Delivering Happyness“
5. Klepac, Kopal, Mršić „Developing Churn Models Using Data Mining Techniques and Social Network Analysis“
6. Lindstrom „Buyology“
7. Baker, Stephen „Numerati“

Minimal learning outcomes

  • Understand potentials of internal and external digital sources and their shaping with purpose of creating conceptual solutions for customer lifecycle.
  • Creating conceptual solution for prospective customer value, retrospective customer value.
  • Client profiling by using analytical methods.
  • Understand test drive concept
  • To create a marketing campaign by using one of the forms of marketing metrics.

Preferred learning outcomes

  • Identify internal and external sources of digital data about customers, industry or population in general for specific business purpose, and their conceptual shaping for extraction information about customers.
  • Thoroughly understand concepts of creating conceptual solution for prospective customer value, retrospective customer value which include design of behavioural variables from disposable data.
  • Client profiling by using analytical methods and campaign design.
  • Advanced use and structuring of test drive concept.
  • To create a more complex marketing campaign by using a range of marketing metrics.
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