AI-Driven Marketing Personalization for Business Leaders

Transform customer experiences with AI personalization: Learn algorithms, real-time data, and scaling strategies.

Created by: Mayank K.
Data Science Educator

Created by: BUSINESS x DATA
Data Management, Analytics, AI Innovation

What Will I Learn?

• The concept of one-to-one marketing and personalization at scale.
• The importance of personalization in modern businesses.
• The role of algorithms in personalization systems.
• The use of diverse data sources, including explicit, implicit, and contextual data.
• Measuring benefits and business value of personalization.
• Practical challenges faced when implementing AI-Driven personalization
• The algorithms: Collaborative filtering (user-based and item-based). Content-based filtering.
• Technologies required for implementing real-time personalization.
• Use of behavioral targeting, contextual personalization, dynamic pricing, search result reordering, and in-session messaging in real-time environments.
• Addressing technical and performance challenges in real-time personalization.
• Strategies for data collection, user consent, data usage, sharing practices, retention policies, and user control.
• Technical measures like encryption, access control, data segmentation, and API security to protect user data.
• Key takeaways from successful AI-driven personalization by companies like Netflix, Amazon, and Spotify.
• Strategies to scale personalization effectively.
• How to start small and progressively improve personalization efforts.
• Balancing innovation with privacy and data protection to build trust and value for customers.

Requirements

• Familiarity with business and marketing concepts.
• Awareness of data privacy and business ethics.
• Managerial perspective.
• Interest in digital transformation.
• Open-mindedness to new approaches.

Target audience

• CEOs, CTOs, CMOs, and other C-suite executives who want to understand the strategic value of AI-driven personalization and how it can transform their business operations and customer engagement.
• Professionals responsible for crafting and executing marketing strategies who wish to incorporate AI-driven personalization to improve customer targeting, engagement, and conversion rates.
• Managers overseeing product development and user experience who need to understand how to integrate personalization features into their products.
• Individuals managing online stores who want to optimize their platforms using AI-driven personalization to improve shopping experiences and increase sales.
• Managers responsible for implementing and maintaining the technological infrastructure that supports AI-driven personalization solutions.
• Business consultants and advisors who guide organizations on digital transformation and the adoption of AI technologies.
• Founders and business owners of startups and SMEs who are looking to adopt advanced personalization techniques to compete with larger, established players.