• Understand the fundamental concepts of AI applied to marketing.

• Know how to personalize marketing campaigns thanks to AI (product recommendations, dynamic content).

• Master the analysis and segmentation of customer data using AI tools.

• Automate emails and targeted ads effectively.

• Put these skills into practice through a concrete mini-project.

• Discover current trends and best practices for integrating AI into your marketing strategy.

Morning: Marketing AI Fundamentals

1. Introduction to AI in Marketing

• Discover what AI is and understand its importance in modern marketing.

• Presentation of use cases: personalized recommendations, predictive analysis, chatbot, etc.

2. Customizing Marketing Campaigns

• Understand the mechanisms for product recommendations based on customer behavior.

• Learn how to generate dynamic and personalized content based on customer segments.

• Concrete case study: personalization of product pages, promotional offers, newsletters.

3. Intelligent Customer Data Analysis and Segmentation

• Use AI to classify, segment, and analyze large volumes of customer data

• Identify segments with high added value, anticipate needs and behaviors.

• Methodologies and tools: clustering, customer scoring, churn prediction.

Afternoon: Advanced Techniques and Practical Application

1. Email and Targeted Advertising Automation

• Set up automated email scenarios (nurturing, retargeting) via AI.

• Define targeted advertising campaigns and optimize their marketing Fusion thanks to predictive algorithms.

2. Development of an AI Marketing Mini Project

• Putting into practice the skills acquired during the morning.

• Development of an end-to-end AI marketing campaign: selection of tools, configuration of parameters, implementation of personalization and automation.

• Analysis of expected results and adjustments in real time.

3. Trends and Best Practices

• Discussion around the latest advances in AI for marketing (new tools, new platforms).

• Sharing experiences, advice for integrating AI into your marketing ecosystem.

• Reflection on ethical issues, the protection of customer data, and the future of AI in marketing.
  
  4. Feedback and Debriefing

• Synthesis of the knowledge acquired.

• Exchanges on concrete implementation in the professional contexts of the participants.

• Prospects for integrating AI into medium and long-term marketing strategies.