AI+ Marketing TM

- Marketing Professionals

- Digital Marketing Experts

- Business Leaders

- CRM Specialists

- Students & Graduates

- Profound understanding of marketing principles like segmentation, branding, and marketing mix and how businesses leverage marketing strategies.

- Familiarity with digital marketing tools and concepts. Participants should be comfortable using CRM software, analytics platforms, and other marketing tools.

- Basic understanding of strategic decision-making processes within marketing contexts and how marketing strategies are developed, implemented, and measured for effectiveness.

- Participants should have proactive interest in exploring the potential of artificial intelligence to transform marketing practices and overall marketing efficiency.

Module 1: Foundations of AI in Marketing

• 1.1 AI Fundamentals and Marketing Transformation: An introduction to the core concepts of AI and Machine Learning (ML), and a high-level overview of how these technologies are fundamentally changing the marketing landscape.
• 1.2 Historical Evolution: A look at the journey of AI in marketing, from early automation tools to today's sophisticated generative and predictive models.
• 1.3 Real-World AI Applications: Case studies and examples of how leading companies are successfully using AI in marketing, including for customer insights, content generation, and ad optimization.

Module 2: AI-Driven Content & Personalization

• 2.1 AI Content Workflows: Learn how to use AI tools for brainstorming, generating, and optimizing content across various channels, including blog posts, social media captions, and ad copy.
• 2.2 Hyper-Personalization Techniques: A deep dive into using AI to create highly personalized customer experiences, from dynamic website content to tailored product recommendations.

Module 3: Social Media & Email Marketing with AI

• 3.1 AI in Audience Engagement: Explore how AI can be used to analyze social media sentiment, identify emerging trends, and automate responses to enhance customer engagement and brand reputation.
• 3.2 Email Automation & Personalization: Learn how AI-powered tools can optimize email campaigns by segmenting audiences, predicting the best send times, and personalizing content and subject lines to improve open and conversion rates.

Module 4: AI Analytics for Marketers

• 4.1 Predictive Analytics: Understand how to use AI to forecast sales, predict customer behavior, and identify a customer's likelihood to churn, enabling more proactive and effective marketing strategies.
• 4.2 Campaign Optimization: Learn how AI algorithms can analyze real-time campaign data to automatically adjust bids, target audiences, and optimize ad placements for a higher Return on Investment (ROI).

Module 5: Ethics & Compliance

• 5.1 Bias Mitigation: A critical discussion on how to identify and mitigate algorithmic bias in AI marketing models to ensure fairness and prevent discrimination.
• 5.2 Ethical Frameworks & Standards: Explore the ethical considerations of using AI in marketing, including data privacy, transparency, and the responsible use of consumer data.

Module 6: Strategic AI Marketing Execution

• 6.1 Building Scalable Strategies: Learn how to design a long-term AI marketing strategy that aligns with business goals and can be scaled across different teams and channels.
• 6.2 AI Implementation: A practical guide to integrating AI tools into your existing marketing tech stack, from data preparation to team training and workflow changes.

Module 7: Multichannel AI Integration

• 7.1 Unified Campaign Strategies: Learn how to use AI to create a cohesive and consistent customer experience across multiple channels, including social media, email, and advertising.
• 7.2 Performance Measurement: Understand how to use AI-enhanced dashboards to measure the success of your campaigns and attribute results to specific marketing tactics.
• 7.3 Trends: A forward-looking discussion on the future of AI in marketing, including new technologies and emerging best practices.

Optional Module: AI Agents for Marketing

• Case Studies: Explore real-world examples of how AI agents are being used to automate complex, multi-step marketing tasks, such as creating an entire campaign from a single prompt.
• Guided Hands-On Training: A workshop-style session to experiment with building and deploying simple AI agents for specific marketing workflows.