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Customer analytics (5 cr)

Code: IB00EC59-3004

General information

Enrollment

04.11.2024 - 17.11.2024

Timing

13.01.2025 - 31.05.2025

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Department of Business

Campus

Kouvola Campus

Teaching languages

  • English

Seats

20 - 60

Degree programmes

  • Degree Programme in Digital International Business

Teachers

  • LYX1 Opettaja

Teacher in charge

Maria Kangasniemi-Haapala

Groups

  • IBKV23SP
    Digital international business, full-time studies
  • 14.01.2025 12:30 - 15:30, Customer analytics IB00EC59-3004
  • 21.01.2025 12:30 - 15:30, Customer analytics IB00EC59-3004
  • 28.01.2025 12:30 - 15:30, Customer analytics IB00EC59-3004
  • 04.02.2025 12:30 - 15:30, Customer analytics IB00EC59-3004
  • 10.02.2025 10:00 - 12:30, Customer analytics IB00EC59-3004
  • 18.02.2025 12:30 - 15:30, Customer analytics IB00EC59-3004
  • 04.03.2025 12:30 - 15:30, Customer analytics IB00EC59-3004
  • 07.03.2025 10:00 - 14:00, Customer analytics IB00EC59-3004
  • 12.03.2025 09:00 - 12:00, Customer analytics IB00EC59-3004
  • 17.03.2025 10:00 - 12:30, Customer analytics IB00EC59-3004
  • 25.03.2025 12:30 - 15:30, Customer analytics IB00EC59-3004
  • 01.04.2025 12:30 - 15:30, Customer analytics IB00EC59-3004
  • 07.04.2025 10:00 - 12:30, Customer analytics IB00EC59-3004
  • 15.04.2025 12:30 - 15:30, Customer analytics IB00EC59-3004
  • 29.04.2025 12:00 - 16:00, Customer analytics IB00EC59-3004

Objective

You are able to identify and interpret customer related key performance indicators (KPIs).

You are able to use data driven approach to design marketing mix elements.

You are able to create customer portfolio specific relationship strategies.

You are able to relate overall business performance to customer analytics.

You are able to use basic tools to collect and analyze customer data.

Content

How to identify valuable customers through various KPIs?

How to adapt the marketing mix elements to add value to the customer?

How to create appropriate retention strategies according to customer portfolios?

How is the overall performance of the business related to customer measures?

How to use available customer analytics software programs in practice?

Evaluation scale

1-5