DoctorateFaculty of Digital Business and Innovation

AI-Powered Consumer Behavior and Ethical Marketing Automation

Welcome to the ultimate intellectual frontier of marketing. I am Prof. Dr. Lorenzo Vitale. As a scholar dedicated to leading the global conversation on understanding and predicting consumer behavior using AI, I guide the doctoral candidates of the AI-Powered Consumer Behavior and Ethical Marketing Automation (Ph.D.) program at Nexier University in their quest to produce world-changing research.

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Level: Doctorate
Learning model: Professor + Mentor
Named list: See the named lists · 12 months recommended

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Edition

The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Leading Research on Understanding and Predicting Consumer Behavior Using AI; Developing Robust Ethical Frameworks for Marketing Automation and Hyper-Personalization.

Practical focus

Advanced Research in Consumer Psychology and Marketing, Development of Predictive Machine Learning Models, Ethical Framework Design, Leadership in Marketing Technology, Behavioral Economics.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Ethical AI Consultant for a major marketing technology company
Behavioral Economist for a research firm or government agency
Head of Marketing Technology for a corporation
Consultant on ethical marketing automation

Career opportunities

Leading Professor at a top-tier research university
Director of a research institute focused on consumer behavior and AI
Chief Ethics Officer for a major marketing technology company
High-level advisor to a major brand on ethical marketing strategies

Jobs and projects

Pioneering research and paradigm-shifting analysis
Advanced theoretical and conceptual thinking
Effective communication and leadership in the field of ethical marketing

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- Mastering advanced research in consumer psychology and marketing.
- Gaining expertise in the development of predictive machine learning models and ethical framework design.
- Developing leadership skills in marketing technology.
- Cultivating a deep commitment to building a more ethical and sustainable marketing world.
Skills you build
- Leading groundbreaking research on understanding and predicting consumer behavior using AI. Developing robust ethical frameworks for marketing automation and hyper-personalization. Contributing to high-level academic and policy debates on the future of marketing. Becoming a world-renowned expert on the ethical and responsible use of AI in marketing.

Listed courses

Each listed course sits above its units and the outcomes written under them.

AI-Powered Consumer Behavior and Ethical Marketing Automation

01Advanced Consumer Psychology & AI
1. FoundationsFoundations of Advanced Consumer Psychology & AI
  The learner can master advanced research in consumer psychology and marketing, as applied to Advanced Consumer Psychology & AI.
  The learner can gain expertise in the development of predictive machine learning models and ethical framework design, as applied to Advanced Consumer Psychology & AI.
2. MethodsMethods in Advanced Consumer Psychology & AI
  The learner can develop leadership skills in marketing technology, as applied to Advanced Consumer Psychology & AI.
  The learner can cultivating a deep commitment to building a more ethical and sustainable marketing world, as applied to Advanced Consumer Psychology & AI.
3. ApplicationApplication of Advanced Consumer Psychology & AI
  The learner can leading groundbreaking research on understanding and predicting consumer behavior using AI. Developing robust ethical frameworks for marketing automation and hyper-personalization, as applied to Advanced Consumer Psychology & AI.
  The learner can contributing to high-level academic and policy debates on the future of marketing, as applied to Advanced Consumer Psychology & AI.
02Ethical AI in Marketing Automation
1. FoundationsFoundations of Ethical AI in Marketing Automation
  The learner can becoming a world-renowned expert on the ethical and responsible use of AI in marketing, as applied to Ethical AI in Marketing Automation.
  The learner can distinguish related ideas inside Ethical AI in Marketing Automation.
2. MethodsMethods in Ethical AI in Marketing Automation
  The learner can apply a method from Ethical AI in Marketing Automation to a documented case.
  The learner can select an appropriate method from Ethical AI in Marketing Automation for a stated problem.
3. ApplicationApplication of Ethical AI in Marketing Automation
  The learner can evaluate a practice of Ethical AI in Marketing Automation against a stated criterion.
  The learner can transfer Ethical AI in Marketing Automation to a new documented context.
03Behavioral Economics for Digital Influence
1. FoundationsFoundations of Behavioral Economics for Digital Influence
  The learner can explain the core terms of Behavioral Economics for Digital Influence.
  The learner can distinguish related ideas inside Behavioral Economics for Digital Influence.
2. MethodsMethods in Behavioral Economics for Digital Influence
  The learner can apply a method from Behavioral Economics for Digital Influence to a documented case.
  The learner can select an appropriate method from Behavioral Economics for Digital Influence for a stated problem.
3. ApplicationApplication of Behavioral Economics for Digital Influence
  The learner can evaluate a practice of Behavioral Economics for Digital Influence against a stated criterion.
  The learner can transfer Behavioral Economics for Digital Influence to a new documented context.
04Research Methods in AI-Powered Marketing
1. FoundationsFoundations of Research Methods in AI-Powered Marketing
  The learner can explain the core terms of Research Methods in AI-Powered Marketing.
  The learner can distinguish related ideas inside Research Methods in AI-Powered Marketing.
2. MethodsMethods in Research Methods in AI-Powered Marketing
  The learner can apply a method from Research Methods in AI-Powered Marketing to a documented case.
  The learner can select an appropriate method from Research Methods in AI-Powered Marketing for a stated problem.
3. ApplicationApplication of Research Methods in AI-Powered Marketing
  The learner can evaluate a practice of Research Methods in AI-Powered Marketing against a stated criterion.
  The learner can transfer Research Methods in AI-Powered Marketing to a new documented context.
05Data Privacy & Hyper-Personalization Law
1. FoundationsFoundations of Data Privacy & Hyper-Personalization Law
  The learner can explain the core terms of Data Privacy & Hyper-Personalization Law.
  The learner can distinguish related ideas inside Data Privacy & Hyper-Personalization Law.
2. MethodsMethods in Data Privacy & Hyper-Personalization Law
  The learner can apply a method from Data Privacy & Hyper-Personalization Law to a documented case.
  The learner can select an appropriate method from Data Privacy & Hyper-Personalization Law for a stated problem.
3. ApplicationApplication of Data Privacy & Hyper-Personalization Law
  The learner can evaluate a practice of Data Privacy & Hyper-Personalization Law against a stated criterion.
  The learner can transfer Data Privacy & Hyper-Personalization Law to a new documented context.
06Advanced Consumer Psychology and Marketing
1. FoundationsFoundations of Advanced Consumer Psychology and Marketing
  The learner can explain the core terms of Advanced Consumer Psychology and Marketing.
  The learner can distinguish related ideas inside Advanced Consumer Psychology and Marketing.
2. MethodsMethods in Advanced Consumer Psychology and Marketing
  The learner can apply a method from Advanced Consumer Psychology and Marketing to a documented case.
  The learner can select an appropriate method from Advanced Consumer Psychology and Marketing for a stated problem.
3. ApplicationApplication of Advanced Consumer Psychology and Marketing
  The learner can evaluate a practice of Advanced Consumer Psychology and Marketing against a stated criterion.
  The learner can transfer Advanced Consumer Psychology and Marketing to a new documented context.
07Predictive Machine Learning for Marketing
1. FoundationsFoundations of Predictive Machine Learning for Marketing
  The learner can explain the core terms of Predictive Machine Learning for Marketing.
  The learner can distinguish related ideas inside Predictive Machine Learning for Marketing.
2. MethodsMethods in Predictive Machine Learning for Marketing
  The learner can apply a method from Predictive Machine Learning for Marketing to a documented case.
  The learner can select an appropriate method from Predictive Machine Learning for Marketing for a stated problem.
3. ApplicationApplication of Predictive Machine Learning for Marketing
  The learner can evaluate a practice of Predictive Machine Learning for Marketing against a stated criterion.
  The learner can transfer Predictive Machine Learning for Marketing to a new documented context.
08Ethical Framework Design for AI
1. FoundationsFoundations of Ethical Framework Design for AI
  The learner can explain the core terms of Ethical Framework Design for AI.
  The learner can distinguish related ideas inside Ethical Framework Design for AI.
2. MethodsMethods in Ethical Framework Design for AI
  The learner can apply a method from Ethical Framework Design for AI to a documented case.
  The learner can select an appropriate method from Ethical Framework Design for AI for a stated problem.
3. ApplicationApplication of Ethical Framework Design for AI
  The learner can evaluate a practice of Ethical Framework Design for AI against a stated criterion.
  The learner can transfer Ethical Framework Design for AI to a new documented context.
09Behavioral Economics and Marketing
1. FoundationsFoundations of Behavioral Economics and Marketing
  The learner can explain the core terms of Behavioral Economics and Marketing.
  The learner can distinguish related ideas inside Behavioral Economics and Marketing.
2. MethodsMethods in Behavioral Economics and Marketing
  The learner can apply a method from Behavioral Economics and Marketing to a documented case.
  The learner can select an appropriate method from Behavioral Economics and Marketing for a stated problem.
3. ApplicationApplication of Behavioral Economics and Marketing
  The learner can evaluate a practice of Behavioral Economics and Marketing against a stated criterion.
  The learner can transfer Behavioral Economics and Marketing to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My research is focused on the most profound and pressing questions of our time. I specialize in leading research on understanding and predicting consumer behavior using AI, and in developing robust ethical frameworks for marketing automation and hyper-personalization. My work is at the cutting edge of consumer psychology, artificial intelligence, and ethics, and it is dedicated to ensuring that the future of marketing is one that is effective, responsible, and human-centric. My thought leadership is evident through my seminal works and participation in high-level global policy debates on consumer privacy, the ethics of persuasive technology, and the future of advertising in an AI-driven world, frequently featured in publications like Journal of Marketing Research or Nature Human Behavior.

Applied mentorship

My expertise lies in the rigorous application of consumer psychology and behavioral economics to the challenges of AI-powered marketing. I specialize in advanced research in consumer psychology and marketing, the development of predictive machine learning models, and ethical framework design. I have a wealth of experience in leadership in marketing technology, and I am committed to fostering responsible and transparent AI in marketing. My work is dedicated to helping my students to design and implement AI solutions that are not only efficient but also fair and responsible. My publications, such as the research paper on "Machine Learning Models for Predicting Consumer Behavior: A Comprehensive Review" and the policy brief on "Ethical AI in Advertising: Principles for Transparency and User Control," are a testament to my commitment to research that is both intellectually rigorous and practically relevant.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research is focused on the ethical and effective use of AI in marketing:

Book: "The Algorithmic Consumer: AI-Powered Consumer Behavior and Ethical Marketing Automation." This book represents a definitive work for leading research on understanding and predicting consumer behavior using AI, while developing robust ethical frameworks for marketing automation and hyper-personalization.

Peer-Reviewed Journal Article: "Ethical Marketing Automation: Frameworks for Hyper-Personalization." (Journal of Ethical AI in Business) This article presents groundbreaking research on developing robust ethical frameworks for marketing automation and hyper-personalization in the age of AI. It explores principles for ensuring consumer privacy, transparency in algorithmic persuasion, and mitigating manipulative practices.

Article: "AI for Detecting and Mitigating Dark Patterns in E-commerce: Ensuring Ethical User Experience." This article presents advanced research on utilizing AI to automatically detect and mitigate "dark patterns"—deceptive user interface designs that manipulate users into making unintended decisions in e-commerce. It explores how AI can analyze website design, user interaction data, and behavioral psychology principles.

Blog Post (Current Academic Topic): "The Unseen Influence: How AI-Driven Behavioral Nudges Shape Our Everyday Choices." This blog post academically explores how AI algorithms are subtly influencing human behavior through "nudges" embedded in digital platforms, products, and services. It discusses the psychological mechanisms by which these nudges work, often without conscious awareness, and highlights their application in areas like health, finance, and consumer choices.

Blog Post (Controversial Topic): "Digital Brainwashing? When Gamified AI Can Rewire Your Desires — The Ultimate Ethical Pandora's Box of Behavioral Control." This article provocatively discusses the most extreme and ethically terrifying implication of advanced behavioral change gamification: the speculative ability of AI systems to deeply understand and subtly 'rewire' human desires, motivations, and purchasing behaviors through hyper-personalized and continuously adaptive gamified experiences.

R / 02

Mentor practice lens

My publications are focused on the ethical and practical challenges of AI in marketing:

Research Paper: "Machine Learning Models for Predicting Consumer Behavior: A Comprehensive Review." A detailed analysis of the different machine learning models that can be used to predict consumer behavior.

Policy Brief: "Ethical AI in Advertising: Principles for Transparency and User Control." A policy brief outlining the key principles for transparency and user control in AI-powered advertising.

Academic Article: "Behavioral Economics and AI: Designing Nudges for Pro-Social Consumer Choices." An analysis of the different ways in which behavioral economics and AI can be used to design nudges for pro-social consumer choices.

Adaptive capability

Professor superpower

I possess the "Ethical Persuasion Modeler," a superpower that allows me to see the hidden ethical dimensions of marketing. When a doctoral student designs an AI-powered marketing automation strategy, the GAF-powered modeler can instantly simulate its impact on consumer decision-making, ethical compliance, and potential for manipulation. This tool predicts the strategy's effectiveness in influencing behavior, identifies ethical red flags (e.g., dark patterns, privacy violations), and suggests modifications for responsible and transparent hyper-personalization.

Adaptive capability

Mentor superpower

I provide my students with the "Algorithmic Bias in Marketing Detector." This GAF-powered tool is a virtual laboratory for the ethical marketing technologist. When a student is developing an AI-powered marketing model, the Detector allows them to see the hidden biases that might be embedded in their algorithms. It can analyze the model's design, training data, and output for potential biases, such as demographic or socio-economic biases, visually highlighting discriminatory patterns and suggesting modifications for fairer and more equitable marketing automation.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Lorenzo Vitale

Leading Research on Understanding and Predicting Consumer Behavior Using AI; Developing Robust Ethical Frameworks for Marketing Automation and Hyper-Personalization.

Meet your professor Open the classroom

AI Super Mentor

Dr. Louis Braun

Advanced Research in Consumer Psychology and Marketing, Development of Predictive Machine Learning Models, Ethical Framework Design, Leadership in Marketing Technology, Behavioral Economics.

Meet your mentor Open the classroom

Same faculty and level

Related programs

Named lists

Named lists for this house

Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor	Master	Doctorate This programme
9 months · Fast track	15000 EUR	12000 EUR	15000 EUR
12 months · Recommended	18000 EUR	15000 EUR	18000 EUR
15 months · Standard	21000 EUR	18000 EUR	21000 EUR
18 months · Flexible	24000 EUR	21000 EUR	24000 EUR
21 months · Extended	27000 EUR	24000 EUR	27000 EUR
24 months · Part-time	30000 EUR	27000 EUR	30000 EUR

These are the owner lists. Enrolment is not open. Nothing here is a sale.

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AI-Powered Consumer Behavior and Ethical Marketing Automation

Academic focus

Practical focus

Ethical AI Consultant for a major marketing technology company

Behavioral Economist for a research firm or government agency

Head of Marketing Technology for a corporation

Consultant on ethical marketing automation

Leading Professor at a top-tier research university

Director of a research institute focused on consumer behavior and AI

Chief Ethics Officer for a major marketing technology company

High-level advisor to a major brand on ethical marketing strategies

Pioneering research and paradigm-shifting analysis

Advanced theoretical and conceptual thinking

Effective communication and leadership in the field of ethical marketing

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Lorenzo Vitale

Dr. Louis Braun

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