Behavioral Marketing and AI-Driven Automation

Course details

"Behavioral Marketing and AI-Driven Automation" combines the insights from consumer behavior with the capabilities of AI to create personalized marketing at scale. This course provides students with an understanding of how to use behavioral data and AI to automate and optimize marketing campaigns.

Start Date

TBD

Target Audience

Undergraduate students venturing into the world of blockchain, with or without a prior technical background.

Duration

14-15 weeks (28 Classes)

Learning Objectives

Gain insight into the role of consumer behavior in digital marketing.
Understand how AI and machine learning can be applied to marketing automation.
Develop skills in designing, implementing, and managing AI-driven marketing campaigns.
Analyze and interpret behavioral data to inform marketing decisions.

Key Features

Practical application of AI tools in marketing campaign automation.
Engagement with industry-leading AI marketing platforms.
Group projects involving the development of AI-driven marketing strategies.

Learning path

Unit 1: Behavioral Marketing Foundations (5)
Unit 2: AI and Machine Learning in Marketing (6)
Unit 3: Marketing Automation Tools and Techniques (5)
Unit 4: Behavioral Data Analysis and Activation (6)
Unit 5: Implementing AI-Driven Campaigns (4)

Topics covered

Introduction to Behavioral Marketing: Concepts and Applications.
The Psychology of Consumer Behavior and Decision-Making.
Segmentation and Targeting Based on Behavioral Insights.
Personalization and Dynamic Content Delivery.
Ethical Considerations in Behavioral Tracking and Marketing.

Fundamentals of AI and Machine Learning for Marketers.
Predictive Analytics and Customer Lifetime Value Modeling.
AI in Customer Segmentation and Targeting.
Real-Time Bidding and Programmatic Advertising with AI.
Chatbots and Conversational Marketing AI.
The Future of AI in Marketing: Innovations on the Horizon.

Overview of Marketing Automation Platforms.
Designing Automated Customer Journeys.
Trigger-Based Email Marketing and Event-Driven Campaigns.
Optimizing User Experience through Automation.
Integration of CRM and Marketing Automation Tools.

Collecting and Analyzing Behavioral Data.
A/B and Multivariate Testing for Campaign Optimization.
Customer Feedback and Sentiment Analysis.
Behavioral Email Targeting and Retargeting Strategies.
AI-Enhanced Content Creation and Curation.
Privacy and Compliance in Data-Driven Marketing.

Planning and Executing AI-Driven Marketing Campaigns.
Measuring Effectiveness and Adjusting Strategies.
Case Studies of Successful AI-Driven Marketing Initiatives
Building a Roadmap for AI Adoption in Marketing Departments.

Grading:

Class Participation: 10%
Weekly Behavioral Analysis Assignments: 30%
Marketing Automation Project: 20%
Mid-Term Examination: 20%
Final Campaign Analysis: 20%

Prerequisites:

Consumer Psychology.
Data Analytics.
Marketing Automation Tools.

Reading Material:

Leading publications and texts on behavioral marketing and AI automation.
Case studies on AI-driven marketing success stories.

Assignments:

Hands-on experience with marketing automation software.
Creating personalized marketing campaigns using behavioral and AI insights.
Evaluating and optimizing AI-driven campaigns based on data analysis.

Faculty: A renowned academic with a blend of theoretical and practical experience in blockchain technology.

Teaching Instructors: TBD