Identify the capabilities of GenAI for enhancing marketing data analytics functions.

Examine real-world applications to leverage GenAI in marketing data analytics scenarios.

Deploy strategies and tactics to responsibly integrate GenAI into marketing analytics practices while maintaining human oversight and accountability.

Analyze GenAI fundamentals and their application in marketing

Demonstrate the practical application of key GenAI marketing tools

Optimize campaigns using data-driven frameworks for GenAI implementation

Evaluate campaign performance metrics to make strategic decisions using AI tools

Understand the importance of GenAI I in digital marketing and e-commerce analytics.

Analyze key indicators for digital marketing and e-commerce.

Consider the potential benefits of using GenAI in your professional activities.

Gain a comprehensive understanding of how generative AI can transform market research and consumer behavior analysis.

Learn to extract valuable insights from big data using advanced AI techniques, leading to more informed business decisions.

Develop the skills to integrate AI-generated insights into strategic planning and marketing efforts, enhancing overall business performance.

Apply key concepts, benefits, and applications of Generative AI to design effective personalized marketing strategies

Create personalized content using AI, adapt it across channels, optimize AI campaigns, and analyze successful real-world examples

Analyze customer data, segment audiences, optimize AI marketing campaigns, and use behavior analysis to enhance content

Evaluate the integration and impact of GenAI in Personalized Marketing at Scale

Understand the core functions of GenAI in digital marketing, distinguish it from traditional approaches, and identify its strengths and weaknesses.

Review case studies and assess the impact of GenAI on digital marketing operations, integrating best practices into your workflow.

Address ethical considerations, including bias, equity, data confidentiality, and security, while using GenAI tools.

Describe the role of Generative AI in transforming customer insights.

Use Gen AI to collect and analyze customer feedback.

Explain how AI can segment customers and predict trends based on behavior.

Apply AI-driven insights to improve customer experience and business strategies.

Acquire a working knowledge of GenAI tools and strategies to increase team collaboration and efficiency.

Experiment with integrating GenAI technologies in marketing workflows to foster innovation, enhance creative output, and improve decision-making.

Develop practical skills in leveraging GenAI for optimizing communication, project management & creative processes within and across marketing teams.

Identify specific scenarios where GenAI can be applied in social media marketing.

Explore strategies to enhance clarity and comprehensibility in AI applications.

Exploring actual instances where social media marketing specialists utilize GenAI to boost productivity and stimulate innovation.

Analyze the role of GenAI in transforming traditional customer journey mapping approaches.

Design a GenAI-enhanced customer journey map incorporating key AI concepts.

Evaluate the practical benefits and challenges of implementing GenAI in customer journey mapping processes.

Identify the ethical implications of generative AI applications in marketing.

Explain the key principles and frameworks for ethical decision-making in AI-driven marketing.

Apply ethical considerations when designing AI-powered marketing campaigns and strategies.

Assess potential ethical risks in AI-driven marketing initiatives and develop appropriate mitigation strategies.

Demonstrate the use of key concepts and benefits of using GenAI in dynamic advertising and media buying.

Create personalized ad creatives using AI tools like Gemini, Bannerboo, and Elai, following ethical guidelines regarding data privacy.

Automate ad campaigns on platforms like Google Ads AI and Facebook Ads Manager with optimized targeting and budgeting.

Analyze and optimize ad campaign performance through key metrics (CPA, CTR, ROAS) and use analytics tools for improving campaign outcomes.

Key components of effective email marketing including best practices for AI application in email marketing.

Techniques for using Generative AI to do customer segmentation and create customer personas.

Methods for using Generative AI to create tailored email content (prompting and rewriting content according to customer segments and personas).

Analyze the role of JUNE in transforming customer analytics and its key use cases.

Setting up June's platform optimally for effective data collection and analysis.

Create AI-generated reports using June's features

Apply June's insights to inform product decisions and strategies.