Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit convenor and lecturer
Dr Syed Rahman
Contact via Contact via syed.rahman@mq.edu.au
Room 230, 3 Management Drive
Monday 9-10am
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
40cp at 2000 level or above including MKTG2002 or MKTG202
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
The marketing media landscape has changed drastically over the past decade. The rise of new media such as digital and social media has changed the ways in which companies communicate and interact with consumers. More importantly, it opens new channels that allow companies to gain immediate and strategic insights into consumer trends and their target market. As such, a company’s ability to transform data generated from various traditional and new media sources into business insights creates a competitive advantage to ensure their survival and prosperity.
This unit enables students to develop a knowledge of the trends changing the current marketing media landscape. Students will learn how to use different analytic software packages, such as SAS and Excel, to analyse both structured and unstructured data that are produced by various marketing media sources. Student also will learn how to transform results into actionable insights and will develop an ability to communicate and explain their insights in an engaging and effective way.
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Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Late submissions of assessments
Unless a Special Consideration request has been submitted and approved, no extensions will be granted. There will be a deduction of 10% of the total available assessment-task marks made from the total awarded mark for each 24-hour period or part thereof that the submission is late. Late submissions will only be accepted up to 96 hours after the due date and time.
No late submissions will be accepted for timed assessments – e.g., quizzes, online tests.
Table 1: Penalty calculation based on submission time
Submission time after the due date (including weekends) |
Penalty (% of available assessment task mark) |
Example: for a non-timed assessment task marked out of 30 |
< 24 hours |
10% |
10% x 30 marks = 3-mark deduction |
24-48 hours |
20% |
20% x 30 marks = 6-mark deduction |
48-72 hours |
30% |
30% x 30 marks = 9-mark deduction |
72-96 hours |
40% |
40% x 30 marks = 12-mark deduction |
> 96 hours |
100% |
Assignment won’t be accepted |
Special Consideration
To request an extension on the due date/time for a timed or non-timed assessment task, you must submit a Special Consideration application. An application for Special Consideration does not guarantee approval.
The approved extension date for a student becomes the new due date for that student. The late submission penalties above then apply as of the new due date.
Name | Weighting | Hurdle | Due |
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In-Class Tests | 15% | No | Week 3, 5, 7 |
Voice of Customer Analytics Report | 35% | No | Week 8 |
Marketing Media Insights Report | 50% | No | Week 13 |
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 3 hours
Due: Week 3, 5, 7
Weighting: 15%
Students will derive insights from information generated through various media sources and answer short questions related to different marketing problems.
Length: Total 1500 words; during the workshops in Week 3, 5, and 8 students will compile short answer responses into a single Microsoft Word document to be submitted via Turnitin, 500 words for each individual submission and each worth 5%.
Assessment Type 1: Project
Indicative Time on Task 2: 17.5 hours
Due: Week 8
Weighting: 35%
Students will submit a report demonstrating their cognitive knowledge of the skills required to formulate appropriate approaches in deriving actionable insights by analysing voice of customers (e.g., textual data) generated by different marketing media sources. In addition, utilising the insights, students will be required to propose appropriate actions to optimise marketing strategies of a business.
Length: A 2000 word individual report
Assessment Type 1: Project
Indicative Time on Task 2: 24.5 hours
Due: Week 13
Weighting: 50%
Students will submit a report demonstrating their cognitive knowledge of the skills required to derive actionable business insights by analysing both structured (e.g., webpage and retail performance data) and unstructured (e.g., social media text and advertisement quality) information generated on different marketing media. In addition, students will be required to explore insights into the trends and patterns in the data to better inform marketing decision making. Students will learn the necessary skills to perform the analysis required for this assessment during the lab sessions; students have to maintain and submit their lab book (i.e., the record of SAS lab activities) as part of this assessment.
Length: A 2000 word individual report and lab book.
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
This unit will be delivered in online and face-to-face modes.
Students enrolled in ONLINE DELIVERY: 1-hour online recorded lecture on a weekly basis, plus a 2 hour online weekly workshop.
Students enrolled in FACE-TO-FACE DELIVERY: 1-hour online recorded lecture on a weekly basis, plus a 2 hour face-to-face weekly workshop on campus.
The timetable for classes can be found on the University website at: http://www.timetables.mq.edu.au.
Students are expected to review the lecture material, complete the readings, watch any video content and prepare the discussion questions in advance of the weekly workshop.
Successful completion of this unit requires the student to submit all assessment tasks and achieve at least 50% in total.
Access to a personal computer, internet, Microsoft Excel, Microsoft Word, and Microsoft Powerpoint is required to complete learning activities and assessment tasks.
Throughout the semester, a combination of selected chapters from different textbooks, journal articles, and online materials (e.g. links to websites, online videos) will be used as learning resources. Following is the list of key required reading/viewing resources; details of learning materials for each week will be available in iLearn.
Books:
Katz, H. (2016). The media handbook: A complete guide to advertising media selection, planning, research, and buying. Routledge. (Chapter 1 & 7; MQ library eBook access)
Journal articles:
Berger, J., Humphreys, A., Ludwig, S., Moe, W. W., Netzer, O., & Schweidel, D. A. (2020). Uniting the tribes: Using text for marketing insight. Journal of Marketing, 84(1), 1-25. https://journals.sagepub.com/doi/full/10.1177/0022242919873106
Kunz, W., Aksoy, L., Bart, Y., Heinonen, K., Kabadayi, S., Ordenes, F. V., ... & Theodoulidis, B. (2017). Customer engagement in a big data world. Journal of Services Marketing https://www.emerald.com/insight/content/doi/10.1108/JSM-10-2016-0352
Iacobucci, D., Petrescu, M., Krishen, A., & Bendixen, M. (2019). The state of marketing analytics in research and practice. Journal of Marketing Analytics, 7(3), 152-181. https://link.springer.com/article/10.1057/s41270-019-00059-2
Wedel, M., & Kannan, P. K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97-121. https://journals.sagepub.com/doi/pdf/10.1509/jm.15.0413
Online resources:
Essential data analytics terms https://www.business.com/articles/30-essential-data-analytics-terms-every-marketer-should-know/
Marketing analytics: What it is and why it matters https://www.sas.com/en_us/insights/marketing/marketing-analytics.html
SAS Contextual Analysis user guide https://support.sas.com/documentation/onlinedoc/ca/14.2/utaqsug.pdf
MOZ keyword research: The beginner's Guide https://moz.com/beginners-guide-to-seo/keyword-research
SAS Visual Analytics tutorials https://video.sas.com/category/videos/sas-visual-analytics_
Google Analytics for beginners https://analytics.google.com/analytics/academy/course/6
How to use Google Keyword planner https://ahrefs.com/blog/google-keyword-planner/
Facebook Page Insights https://www.facebook.com/business/help/633309530105735
MOZ SEO analysis guide https://moz.com/seo-competitor-analysis
Please refer to iLearn.
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
The Writing Centre provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via AskMQ, or contact Service Connect.
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Unit information based on version 2022.04 of the Handbook