AI in Marketing – Personalized Marketing and Customer Analysis

Start: Jul 27, 2026
End: Aug 7, 2026
Venue: Mombasa, Kenya
Format: Two weeks
Duration: 2 weeks
Statement of Need

The AI in Marketing course focuses on the applications of Artificial Intelligence (AI) in personalized marketing and customer analysis. Participants will explore how AI technologies are revolutionizing the marketing landscape by enabling businesses to deliver targeted, relevant, and personalized experiences to their customers. Through hands-on exercises and real-world examples, participants will learn how to leverage AI algorithms, machine learning, and data analytics to optimize marketing campaigns, enhance customer segmentation, and drive business growth.

Who Attends

The AI in Marketing course is designed for marketing professionals, digital marketers, marketing managers, data analysts, and anyone interested in understanding the potential of AI in personalized marketing and customer analysis. It is also suitable for entrepreneurs and business owners looking to leverage AI technologies to enhance their marketing strategies.

How participants will benefit
  • Understand the role of AI in transforming the marketing industry and its impact on customer engagement.
  • Learn the fundamentals of AI algorithms, machine learning, and data analytics in marketing applications.
  • Explore the concept of personalized marketing and its benefits for businesses and customers.
  • Acquire skills in using AI tools and platforms to analyze customer data and behavior.
  • Learn how to create personalized marketing campaigns based on customer insights.
  • Discover strategies for optimizing marketing efforts using AI-driven decision-making.
  • Understand ethical considerations and privacy concerns related to AI in marketing practices.
Topics Include

Module 1: Introduction to AI in Marketing

  • Understanding the impact of AI on the marketing landscape.
  • Exploring AI technologies and their role in customer analysis and segmentation.
  • Ethical considerations in AI-driven marketing practices.

Module 2: AI Algorithms and Machine Learning in Marketing

  • Overview of AI algorithms used in marketing applications (e.g., clustering, classification).
  • Introduction to machine learning techniques for customer analysis.
  • Leveraging supervised and unsupervised learning for marketing insights.

Module 3: Data Analytics for Customer Insights

  • Collecting and analyzing customer data to understand behavior and preferences.
  • Utilizing data visualization tools to gain actionable marketing insights.
  • Identifying key performance indicators (KPIs) for marketing success.

Module 4: Personalized Marketing Strategies

  • Understanding the concept of personalized marketing and its benefits.
  • Creating customer personas and customer journey mapping.
  • Implementing one-to-one marketing approaches using AI.

Module 5: AI in Content Personalization

  • Leveraging AI to personalize website content and user experiences.
  • Using AI-powered chatbots for personalized customer interactions.
  • Dynamic content recommendations based on user behavior.

Module 6: AI-Driven Email Marketing

  • Personalizing email marketing campaigns using AI algorithms.
  • Automated email segmentation for targeted messaging.
  • A/B testing and optimization of email marketing strategies.

Module 7: AI for Customer Retention and Loyalty

  • Predictive analytics for customer churn prevention.
  • Implementing AI-driven loyalty programs and customer retention strategies.
  • Enhancing customer satisfaction through personalized customer support.

Module 8: AI and Customer Journey Optimization

  • Analyzing the customer journey with AI to identify pain points and opportunities.
  • AI-powered customer journey optimization and conversion rate optimization (CRO).
  • Real-time decision-making in customer engagement using AI.

Module 9: Measuring and Evaluating AI-Driven Marketing Campaigns

  • Evaluating the effectiveness of AI-powered marketing campaigns.
  • Defining success metrics and tracking campaign performance.
  • Incorporating AI insights for continuous improvement.

Module 10: Future Trends in AI and Marketing

  • Exploring emerging AI technologies and their potential impact on marketing.
  • Preparing for future challenges and opportunities in AI-driven marketing.
  • Final project: Developing an AI-driven personalized marketing campaign.
Fees

US$ 1600 to cover tuition and training materials.