Data-Driven Marketing (5 cr)

Evaluation scale

H-5

Schedule

For everybody (if only individual, grades 1-2)
Multiple-choice review, open 27.11-10.12.
Reflection on own learning (and peer feedback), DL 12.12.

Group assignments (grades 3-5)
Team agreement, DL 27.10.
Digital marketing campaign, DL 28.11.
Case-organization interview, DL 8.12.

Implementation methods, demonstration and Work&Study

Contact, blended, online

Demonstration (RPL): If you already have command of the course contents, you can demonstrate your competence. Ask the course teacher for more information. For more information on Recognition of Prior Learning: https://www.haaga-helia.fi/en/recognition-learning
Some of the self-directed learning that is part of the course takes place in third-party services according to the student’s own choice. The student is responsible for registering as a user of these services.

Intro

In this course, you will learn the fundamentals of modern and effective marketing through the study of the central concepts, practices and systems. You will gain an understanding of the possibilities of data-driven marketing in different channels and you will be able to plan targeted marketing that supports business objectives. You will learn how to make use of various metrics and their importance in agile marketing.

Materials

Chaffey, Dave & Ellis-Chadwick, Fiona, 2022. Digital Marketing 8th Edition.
Available as e-book in Haaga-Helia library.

Driscoll Miller, J, Lim, J. & Meerman Scott, D. 2020. Data-First Marketing : How to Compete and Win in the Age of Analytics. John Wiley & Sons, Incorporated.
Available as e-book in Haaga-Helia library.

Haimowitz, I.J., Verhoef, P.C., Kooge, E., Walk, N. & Wiering, N. 2022. Data analytics for business : lessons for sales, marketing, and strategy. Routledge. Second edition.

Järvinen, J. & Karjaluoto, H. (2015). The use of web analytics for digital marketing performance measurement. Industrial Marketing Management, Vol. 50, pp. 117-127.

Teaching methods and instruction

This is a contact implementation. Sessions at Porvoo Campus every Tue and Thu.

Working life connections

Material and assignments from and for real case organizations.
Visiting lecturers from companies.

Exam dates and re-exam possibilities

No exam, only assignments.

Internationality

All material, examples and assignments are created for international students and from a global perspective.

Completion alternatives

Work & Study or RPL

If you feel that you have already attained the competence level required for this course, such as through previous work experience, you can get the credits through Recognition of Prior Learning (RPL). For more information on either Work & Study or RPL, contact the responsible teacher.

Learning assignments

Aiming for grades 1-2 (individual work)

- Review of the material and related multiple-choice review (max. 50 points, to be taken at the end of the course)
- Self-reflection exercise (max. 10 points, to be completed at the end of the course)

Aiming for grades 3-5 (to be done individually and in groups)

Individual work:
- Review of online material and related multiple-choice review (max. 50 points, to be completed at the end of the course)
- Self-reflection exercise (max 10 points, to be completed at the end of the course)

Group work:
- Designing a data-driven digital campaign (max 20 points)
- Data-driven marketing analysis of a case study (max. 20 points)

Assessment methods

Grading scale

85 - 100 points = 5
71 - 84 points = 4
61 - 70 points = 3
51 - 60 points = 2
40 - 50 points = 1