Learning Outcomes:

1. Design interactive dashboards using advanced tools like Tableau and Power BI.

2. Implement data visualization techniques to highlight key market trends in real time.

3. Evaluate the effectiveness of visualizations by measuring audience engagement.

4. Develop compelling visual narratives that support data-driven decision making.

Learning Outcomes:

1. Identify potential biases in data collection and analytic processes.

2. Analyze the impact of data bias on market insights and consumer profiling.

3. Implement corrective measures to mitigate bias in AI-driven analytics.

4. Develop guidelines to maintain data integrity and fairness during analysis.

Learning Targets:

1. Develop clear campaign objectives and measurable KPIs aligned with business goals.

2. Utilize AI tools for audience segmentation and targeting across channels like Google, Facebook, Twitter, YouTube, and Instagram.

3. Construct multi-channel campaign strategies integrating traditional marketing frameworks (e.g., SOSTAC, 4Ps, SWOT analysis) with AI capabilities.

4. Create detailed campaign timelines, budgets, and resource allocations based on predictive analytics.

5. Implement the campaign using automation tools and monitor initial performance for adjustments.

Modules

Learning Targets:

1. Define and measure key performance indicators (KPIs) for digital campaigns using tools like Google Analytics, Facebook Insights, and Twitter Analytics.

2. Collect real-time performance data and conduct comparative analyses against industry benchmarks.

3. Diagnose underperforming segments through an iterative review process and use AI-driven recommendations to optimize strategies.

4. Generate comprehensive reports detailing campaign performance, ROI, and actionable insights.

5. Implement A/B testing and multivariate experiments to validate optimization measures and improve campaign effectiveness.

Modules

Learning Targets:

1. Utilize AI content generation tools such as ChatGPT, Jasper, or Copy.ai to produce initial content drafts.

2. Apply best practices in content marketing to craft engaging and persuasive messages tailored for digital platforms.

3. Incorporate keyword optimization, SEO techniques, and market research into content development.

4. Test and refine content hooks based on audience engagement metrics and feedback.

5. Leverage AI tools to personalize content for different audience segments across various social media channels.

Modules

Learning Targets:

1. Synthesize traditional marketing principles with contemporary AI-driven approaches.

2. Coordinate cross-functional elements such as creative design, content production, and data analytics in campaign planning.

3. Implement integrated marketing tools and frameworks (e.g., HubSpot, Marketo) within a unified strategic plan.

4. Monitor AI system outputs to ensure alignment with overall strategic objectives and make iterative adjustments.

5. Document and present comprehensive project plans and post-campaign evaluations to stakeholders.

Modules