•   Marketing Analytics and SEO MAR003AS3AE-3001 19.08.2024-11.10.2024  5   (IBE5PAMAR, ...) +-
    Teaching methods and instruction

    Learning Objectives

    After completing the course, the student will be able to:

    Understands the strategic role of analytics in marketing
    Analyze digital content and channels
    Utilize analytics basic tools
    Make development suggestions based on analytics
    Understand the practices of search engine optimization, including factors affecting both internal and external website optimization
    Plan keywords and create search engine optimized content
    Understand the basic concepts of marketing automation

    Prerequisites and Linkages to Other Courses
    Prerequisites: It is recommended that the student has completed the courses in Customer Insight and Marketing, Customer Experience and Sales, and Data-Driven Marketing, or possesses equivalent knowledge in these areas.

    Content

    Analytics tools for digital channels
    Website search engine optimization
    Keyword planning
    Search engine optimization areas and theory
    Marketing automation and back-end systems
    Developing a SEO improvement plan

    Learning material and recommended literature

    -Online materials on Moodle
    -Current articles and links
    -Book, available as an e-book online, Haaga-Helia´s library:
    Enge, Eric, Spencer, Stephan, Stricchiola, Jessie:
    The Art of SEO: Mastering Search Engine Optimization.10/2023
    ISBN 9781098102616

    Working life connections

    Working life connection is a part of this course. The students are researching real life business cases and applying theory to practice.

    Campus

    Pasila Campus

    Exam dates and re-exam possibilities

    The compulsory online quiz will be opened two weeks before the end date. All the instructions will be on Moodle.

    Teaching language

    English

    Internationality

    The course uses current international materials, and explores the field from an international point of view.

    Timing

    19.08.2024 - 11.10.2024

    Learning assignments

    -Quick assignments based on the lectures -SEO assignments -Social media analytics tool assignment. -Marketing automation assignment. -SEO plan, including analytical skills use and a keyword strategy (This is a group assignment, for grades 3-5) -Compulsory online quiz. -at least 50% attendance is required to pass the course.

    Enrollment

    03.06.2024 - 16.08.2024

    Content scheduling

    August 19 - October 11, 2024.

    Groups
    • IBE5PAMAR
    • DBE5PCDBI
    • IBE4PAMAR
    • ONLINE
    • EXCH
    Teachers

    Jussi Mertanen

    Seats

    15 - 60

    Further information

    Evaluation Criteria

    Evaluation Criterion - Grade 1:
    The student recognizes the basics of digital channel analytics and search engine optimization. They are able to create basic development suggestions based on analytics and produce digital content.
    Grades 1-2 requirements:
    -attendance over 50%
    -individual assignments: social media and marketing automation
    -online quiz

    Evaluation Criterion - Grade 3:
    The student has a foundational understanding of digital channel analytics and search engine optimization and knows fairly well how to utilize them in businesses. The student creates a usable development plan based on analytics and produces usable search engine optimized digital content.
    Grades 3-5 requirements:
    -attendance over 50%
    -individual assignments: social media and marketing automation
    -online quiz
    -SEO plan and presentation as a group work

    Evaluation Criterion - Grade 5:
    The student has an in-depth understanding of digital channel analytics and search engine optimization and knows extensively how to utilize them in businesses. The student creates a high-quality development plan based on analytics and produces publication-ready search engine optimized content. The student shows innovative skills in creating search engine optimizations recommendations.

    Degree Programme

    INTBBA International Business

    R&D proportion

    0.00 cr

    Virtual proportion

    0.00 cr

    Evaluation scale

    H-5