Digital Marketing Data Analysis - Spring 23
Timeline
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May 8, 2023Experience start
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July 31, 2023Experience end
Categories
Digital marketing Data analysis Marketing strategySkills
digital marketing strategyDigital marketing tools and opportunities continue to expand. Are you capturing and using appropriate data in your digital efforts to help make the best marketing decisions? In this project, continuing education students in McMaster University’s Digital Marketing certificate program will analyze your digital efforts, provide a template to capture relevant data points, and analyze those data points to ensure that you are reaching your audience as effectively as possible.
A written report with detailed recommendations and custom templates that can be used by your organization. Depending on the opportunity areas you have asked students to address, this report can include:
- Background information on company, product offerings and current information of business value.
- Identification of relevant key performance indicators (KPIs).
- Identification of current digital channels being used and recommendations for enhanced use to reach KPIs.
- Analysis of current data measuring digital marketing efforts, identification of big data relevant to the company and identification of new data points that should be captured.
- Analysis of sales and marketing funnel and recommendations for enhancement. Integration of marketing automation and predictive analytics recommendations if relevant.
- Analysis and recommendations for compliance with PIPEDA.
- Identification of potential areas for data bias, vanity or corruption and mitigation strategy.
- Data visualization, if relevant.
Project timeline
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May 8, 2023Experience start
-
July 31, 2023Experience end
Project Examples
Based on information you provide, students will develop an action plan for measuring your data and adjusting your efforts on an ongoing basis. The plan will include relevant data points that you can capture, identify what they mean, evaluate the effectiveness of your current digital marketing efforts, and recommend adjustments for improved results.
Project Examples include, but are not limited to:
- Review and analysis of your current digital marketing efforts and available data points.
- Identification of areas for enhanced digital marketing reach.
- Analysis of current data points and identification of new and relevant data points and their benefits.
- Analysis of data trends and recommendations to adjust efforts based on points captured.
- Development of a plan and guidelines for ongoing data capture and analysis.
This list of project examples is by no means exhaustive. If you have another project idea related to data analysis for marketing purposes, please use Riipen’s in-app chat to contact the professor, who will work with you to determine if your idea is a fit for this assignmen
Companies must answer the following questions to submit a match request to this experience:
Share feedback and recommendations about the project deliverables with the students and instructor.
Be available for a quick phone call with the organizer to initiate your relationship and confirm your scope is an appropriate fit for the experience. Advise the instructor if students will be required to sign an NDA prior to beginning the project.
Provide an online video or link to your website to introduce the students to your organization prior to starting the project.
To provide efficiency in the information sharing process 2 - 3 web conferences may be scheduled in advance with the lead of the participating organization at the appropriate intervals. The Instructor may ask that you participate in an Instructor-led webinar session for students at the beginning of the project by providing an overview of your organization, project and desired/expected outcomes.
Provide a dedicated contact who will be available to answer periodic emails or phone calls over the duration of the project to address student’s questions or provide additional information. Minimum of 2-4 interactions with each student group leader (approximately 4-6 hours over the duration of the project). Let the students/instructor know if you will be away for an extended time (e.g., vacation).
Timeline
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May 8, 2023Experience start
-
July 31, 2023Experience end