Euroasia Training Euroasia Training
AR

Marketing and Customer Experience Management

Marketing with Hyper-Personalization Techniques

5 units

Please select a city/session before registration.

About this program

In today’s market, customers anticipate that brands will recognize their needs instantly. This Hyper-Personalization in Marketing Training Course equips participants with the necessary tools and frameworks to create highly customized experiences through data, analytics, and AI-powered solutions. The curriculum covers advanced segmentation beyond basic demographics, real-time personalization techniques, predictive analytics, omnichannel approaches, and the ethical handling of customer information. Learners will examine case studies from top international brands and develop personalization strategies that enhance customer loyalty and increase ROI. By the conclusion of this course, professionals will be prepared to transition from broad marketing approaches to scalable, individualized engagement.

Course benefits

  • Gain a comprehensive understanding of hyper-personalization principles.
  • Integrate AI and predictive analytics into marketing strategies.
  • Develop real-time, tailored customer journeys.
  • Enhance customer loyalty and engagement.
  • Acquire knowledge of global best practices in sophisticated personalization.

Key outcomes

  • Explain the concept of hyper-personalization and its impact on business.
  • Implement data-driven methods to extract customer insights.
  • Utilize AI, machine learning, and predictive analytics tools.
  • Design omnichannel personalized customer experiences.
  • Consider ethical and privacy issues related to personalization.
  • Evaluate personalization effectiveness using appropriate KPIs.
  • Examine case studies featuring global personalization leaders.

Who should attend

  • Professionals in marketing and digital engagement roles.
  • Managers responsible for CRM and customer experience.
  • Specialists in data and analytics.
  • Executives aiming to implement personalization strategies.

Course outline

1

Unit 1: Principles of Advanced Personalization

  • Transitioning from segmentation to individual customization.
  • Understanding how personalization fuels business expansion.
  • Fundamental concepts and structural models.
  • Illustrative cases of leaders in personalization.
2

Unit 2: Analytics and Insights Based on Data

  • Collecting and interpreting customer information.
  • Shifting focus from demographics to behavior-centered insights.
  • Utilizing customer data platforms (CDPs).
  • Practical exercise in data analysis.
3

Unit 3: Artificial Intelligence and Predictive Customization

  • The impact of AI and machine learning in marketing.
  • Using predictive analytics to understand customer actions.
  • Techniques for real-time personalization.
  • Case analysis: campaigns enhanced by AI.
4

Unit 4: Strategies for Omnichannel Personalization

  • Ensuring uniform experiences across multiple channels.
  • Applying personalization in web, email, and mobile platforms.
  • Incorporating personalization into digital marketing efforts.
  • Collaborative exercise: developing an omnichannel personalization strategy.
5

Unit 5: Ethics, Evaluation, and Emerging Trends

  • Managing the balance between personalization and privacy.
  • Assessing ROI and key performance indicators of personalization.
  • Establishing consumer confidence in data handling.
  • Exploring upcoming trends in hyper-personalized marketing.