GRASPED Data-Driven Marketing Decisions with AI

Strategies, Tools, and Innovations

This course is designed to immerse learners in the dynamic world of AI and data-driven marketing. By encouraging active participation, critical analysis, and continuous self-assessment, the course aims to empower marketing professionals, enthusiasts, and students with the knowledge and skills required to harness AI in shaping impactful, data-driven marketing strategies.

Module 1: Introduction to AI in Data-Driven Marketing

• Primary Learning Prompt:

  Consider the role of AI in modern marketing. How does it underpin data-driven decision-making, and what are the foundational principles guiding this dynamic?
• Immediate Knowledge Check: Describe how AI facilitates data-driven decision-making in a marketing context.
• Self-rating Question: On a scale from 1 to 10, how would you rate your current understanding of the foundational principles of AI in data-driven marketing?

Module 2: Historical Evolution of Data-Driven Marketing

• Primary Learning Prompt:

  Reflect on the evolution of data-driven marketing. How has the integration of AI technologies changed the way marketers approach data and decisions?
• Immediate Knowledge Check: Discuss a key historical transition point when AI began significantly influencing marketing decisions.
• Self-rating Question: On a scale from 1 to 10, how confident are you in understanding the historical evolution of data-driven marketing with AI?

Module 3: Critical AI Technologies in Data-Driven Marketing

• Primary Learning Prompt:

  Explore the critical technologies and concepts that empower AI's role in data-driven marketing. What theories support these mechanisms?
• Immediate Knowledge Check: Explain one AI technology or algorithm extensively used in data-driven marketing.
• Self-rating Question: How do you rate your comprehension of the critical technologies empowering AI in data-driven marketing, on a scale from 1 to 10?

Module 4: Practical Applications of AI in Marketing Strategies

• Primary Learning Prompt:

  Can you identify real-world applications where AI's role in data-driven marketing has led to transformative outcomes?
• Immediate Knowledge Check: Provide an example of a company that successfully leveraged AI for a data-driven marketing campaign and the results it achieved.
• Self-rating Question: How confident are you in identifying and understanding real-world applications of AI in data-driven marketing, on a scale from 1 to 10?

Module 5: Innovations and Trends in AI-Enhanced Data-Driven Marketing

• Primary Learning Prompt:

  What are the current cutting-edge developments and trends in AI that are shaping the future of data-driven marketing?
• Immediate Knowledge Check: Identify and discuss a recent innovative trend in AI that has the potential to redefine data-driven marketing strategies.
• Self-rating Question: On a scale from 1 to 10, how well do you understand the current innovations and trends in AI-enhanced data-driven marketing?

Module 6: Debates and Challenges in AI and Data-Driven Marketing

• Primary Learning Prompt:

  What are the major challenges, debates, or controversies surrounding the use of AI in data-driven marketing?
• Immediate Knowledge Check: Outline a significant challenge in using AI for data-driven marketing and suggest a potential solution.
• Self-rating Question: How comfortable are you in discussing the challenges and controversies related to AI in data-driven marketing, on a scale from 1 to 10?

Module 7: Case Study - AI in Data-Driven Marketing in Action

• Primary Learning Prompt:

  Analyze a case study that demonstrates a successful application of AI in a data-driven marketing strategy, focusing on the challenges, methodologies, and outcomes.
• Immediate Knowledge Check: Summarize the case study, noting the specific AI technologies used, the marketing challenges addressed, and the outcomes achieved.
• Self-rating Question: How proficient are you in analyzing case studies and extracting insights regarding AI's role in data-driven marketing, on a scale from 1 to 10?

Module 8: Ethical Implications of AI in Data-Driven Marketing

• Primary Learning Prompt:

  What are the ethical considerations when using AI for data-driven marketing, especially in terms of consumer data and privacy?
• Immediate Knowledge Check: Discuss an ethical dilemma related to the use of AI in data-driven marketing and suggest how it can be addressed.
• Self-rating Question: How would you rate your understanding of the ethical implications of AI in data-driven marketing, on a scale from 1 to 10?

Module 9: Global Impact of AI in Data-Driven Marketing

• Primary Learning Prompt:

  How do AI-enhanced, data-driven marketing strategies vary across different global markets and cultural contexts?
• Immediate Knowledge Check: Compare how AI-enhanced, data-driven marketing strategies might differ between two distinct cultural or geographic markets.
• Self-rating Question: How confident are you in your grasp of the global considerations and impacts of AI in data-driven marketing, on a scale from 1 to 10?

Module 10: Reflective Insights and Future Directions in AI and Data-Driven Marketing

• Primary Learning Prompt:

  Reflect on your learning journey: what insights have you gained about AI's role in data-driven marketing, and what future trends or technologies are you most interested in exploring further?
• Immediate Knowledge Check: Compose a reflective essay on your key takeaways from this course and outline the areas in AI and data-driven marketing you're keen to explore next.
• Self-rating Question: How confident are you in your overall understanding of AI's transformative role in data-driven marketing, and what topics do you see as your next step in this learning journey, on a scale from 1 to 10?