DoctorateFaculty of Social Sciences & Humanities

Data-Driven Consumer Experience and Ethical Marketing

Welcome to the frontier of data-driven consumer experience and ethical marketing! I am Prof. Dr. Vitor Zanetti. As a leading researcher on creating data-driven consumer experiences that are not only effective but also ethical and respectful of privacy, and developing new models for ethical marketing in the age of AI, I guide doctoral students in the Data-Driven Consumer Experience and Ethical Marketing program at Nexier University on their journey to building trustworthy brands and experiences.

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Level: Doctorate
Learning model: Professor + Mentor
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The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Leads research on creating data-driven consumer experiences that are not only effective but also ethical and respectful of privacy. Develops new models for ethical marketing in the age of AI.

Practical focus

Research in marketing and consumer behavior, advanced data analytics, ethical framework development, leadership in marketing innovation.

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

Internships in data ethics research institutes or privacy technology companies
Roles as data privacy analysts or ethical marketing specialists
Support roles in academic research projects on consumer autonomy
Opportunities in regulatory bodies or industry associations focused on digital marketing ethics

Career opportunities

Chief Ethics Officer (Marketing)
Privacy-Preserving Marketing Strategist
Data Ethicist for Consumer Experience
Researcher in Responsible AI Marketing

Jobs and projects

Advanced research and ethical analysis for data-driven consumer experiences
Policy development and legal compliance for data privacy regulations
Innovative approaches to responsible advertising and marketing personalization
Leadership and future-shaping thinking for ethical marketing in the AI age

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 marketing and consumer behavior.
- Gaining expertise in advanced data analytics and ethical framework development.
- Developing leadership in marketing innovation and creating ethical consumer experiences.
- Cultivating a rigorous approach to understanding and addressing data privacy in marketing.
Skills you build
- Leading groundbreaking research on creating data-driven consumer experiences that are not only effective but also ethical and respectful of privacy.
- Developing new models for ethical marketing in the age of AI.
- Excelling at advanced data analytics, ethical framework development, and leadership in marketing innovation.
- Shaping the future of marketing with a strong emphasis on consumer trust.

Listed courses

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

Data-Driven Consumer Experience and Ethical Marketing

01Advanced Data-Driven CX
1. FoundationsFoundations of Advanced Data-Driven CX
  The learner can master advanced research in marketing and consumer behavior, as applied to Advanced Data-Driven CX.
  The learner can gain expertise in advanced data analytics and ethical framework development, as applied to Advanced Data-Driven CX.
2. MethodsMethods in Advanced Data-Driven CX
  The learner can develop leadership in marketing innovation and create ethical consumer experiences, as applied to Advanced Data-Driven CX.
  The learner can cultivating a rigorous approach to understanding and addressing data privacy in marketing, as applied to Advanced Data-Driven CX.
3. ApplicationApplication of Advanced Data-Driven CX
  The learner can leading groundbreaking research on creating data-driven consumer experiences that are not only effective but also ethical and respectful of privacy, as applied to Advanced Data-Driven CX.
  The learner can develop new models for ethical marketing in the age of AI, as applied to Advanced Data-Driven CX.
02Ethical AI in Marketing
1. FoundationsFoundations of Ethical AI in Marketing
  The learner can excelling at advanced data analytics, ethical framework development, and leadership in marketing innovation, as applied to Ethical AI in Marketing.
  The learner can shaping the future of marketing with a strong emphasis on consumer trust, as applied to Ethical AI in Marketing.
2. MethodsMethods in Ethical AI in Marketing
  The learner can apply a method from Ethical AI in Marketing to a documented case.
  The learner can select an appropriate method from Ethical AI in Marketing for a stated problem.
3. ApplicationApplication of Ethical AI in Marketing
  The learner can evaluate a practice of Ethical AI in Marketing against a stated criterion.
  The learner can transfer Ethical AI in Marketing to a new documented context.
03Privacy-Preserving Marketing Technologies
1. FoundationsFoundations of Privacy-Preserving Marketing Technologies
  The learner can explain the core terms of Privacy-Preserving Marketing Technologies.
  The learner can distinguish related ideas inside Privacy-Preserving Marketing Technologies.
2. MethodsMethods in Privacy-Preserving Marketing Technologies
  The learner can apply a method from Privacy-Preserving Marketing Technologies to a documented case.
  The learner can select an appropriate method from Privacy-Preserving Marketing Technologies for a stated problem.
3. ApplicationApplication of Privacy-Preserving Marketing Technologies
  The learner can evaluate a practice of Privacy-Preserving Marketing Technologies against a stated criterion.
  The learner can transfer Privacy-Preserving Marketing Technologies to a new documented context.
04Consumer Autonomy and Digital Rights
1. FoundationsFoundations of Consumer Autonomy and Digital Rights
  The learner can explain the core terms of Consumer Autonomy and Digital Rights.
  The learner can distinguish related ideas inside Consumer Autonomy and Digital Rights.
2. MethodsMethods in Consumer Autonomy and Digital Rights
  The learner can apply a method from Consumer Autonomy and Digital Rights to a documented case.
  The learner can select an appropriate method from Consumer Autonomy and Digital Rights for a stated problem.
3. ApplicationApplication of Consumer Autonomy and Digital Rights
  The learner can evaluate a practice of Consumer Autonomy and Digital Rights against a stated criterion.
  The learner can transfer Consumer Autonomy and Digital Rights to a new documented context.
05Research Methods in Ethical Marketing
1. FoundationsFoundations of Research Methods in Ethical Marketing
  The learner can explain the core terms of Research Methods in Ethical Marketing.
  The learner can distinguish related ideas inside Research Methods in Ethical Marketing.
2. MethodsMethods in Research Methods in Ethical Marketing
  The learner can apply a method from Research Methods in Ethical Marketing to a documented case.
  The learner can select an appropriate method from Research Methods in Ethical Marketing for a stated problem.
3. ApplicationApplication of Research Methods in Ethical Marketing
  The learner can evaluate a practice of Research Methods in Ethical Marketing against a stated criterion.
  The learner can transfer Research Methods in Ethical Marketing to a new documented context.
06Advanced Marketing Research and Data Ethics
1. FoundationsFoundations of Advanced Marketing Research and Data Ethics
  The learner can explain the core terms of Advanced Marketing Research and Data Ethics.
  The learner can distinguish related ideas inside Advanced Marketing Research and Data Ethics.
2. MethodsMethods in Advanced Marketing Research and Data Ethics
  The learner can apply a method from Advanced Marketing Research and Data Ethics to a documented case.
  The learner can select an appropriate method from Advanced Marketing Research and Data Ethics for a stated problem.
3. ApplicationApplication of Advanced Marketing Research and Data Ethics
  The learner can evaluate a practice of Advanced Marketing Research and Data Ethics against a stated criterion.
  The learner can transfer Advanced Marketing Research and Data Ethics to a new documented context.
07Privacy-Preserving Analytics
1. FoundationsFoundations of Privacy-Preserving Analytics
  The learner can explain the core terms of Privacy-Preserving Analytics.
  The learner can distinguish related ideas inside Privacy-Preserving Analytics.
2. MethodsMethods in Privacy-Preserving Analytics
  The learner can apply a method from Privacy-Preserving Analytics to a documented case.
  The learner can select an appropriate method from Privacy-Preserving Analytics for a stated problem.
3. ApplicationApplication of Privacy-Preserving Analytics
  The learner can evaluate a practice of Privacy-Preserving Analytics against a stated criterion.
  The learner can transfer Privacy-Preserving Analytics to a new documented context.
08Algorithmic Fairness in Consumer Behavior
1. FoundationsFoundations of Algorithmic Fairness in Consumer Behavior
  The learner can explain the core terms of Algorithmic Fairness in Consumer Behavior.
  The learner can distinguish related ideas inside Algorithmic Fairness in Consumer Behavior.
2. MethodsMethods in Algorithmic Fairness in Consumer Behavior
  The learner can apply a method from Algorithmic Fairness in Consumer Behavior to a documented case.
  The learner can select an appropriate method from Algorithmic Fairness in Consumer Behavior for a stated problem.
3. ApplicationApplication of Algorithmic Fairness in Consumer Behavior
  The learner can evaluate a practice of Algorithmic Fairness in Consumer Behavior against a stated criterion.
  The learner can transfer Algorithmic Fairness in Consumer Behavior to a new documented context.
09Ethical Frameworks for Digital Marketing
1. FoundationsFoundations of Ethical Frameworks for Digital Marketing
  The learner can explain the core terms of Ethical Frameworks for Digital Marketing.
  The learner can distinguish related ideas inside Ethical Frameworks for Digital Marketing.
2. MethodsMethods in Ethical Frameworks for Digital Marketing
  The learner can apply a method from Ethical Frameworks for Digital Marketing to a documented case.
  The learner can select an appropriate method from Ethical Frameworks for Digital Marketing for a stated problem.
3. ApplicationApplication of Ethical Frameworks for Digital Marketing
  The learner can evaluate a practice of Ethical Frameworks for Digital Marketing against a stated criterion.
  The learner can transfer Ethical Frameworks for Digital Marketing to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on leading research on creating data-driven consumer experiences that are not only effective but also ethical and respectful of privacy. I develop new models for ethical marketing in the age of AI. My publications like "Privacy-Preserving Personalization in Digital Advertising" and "Algorithmic Fairness in Marketing Decision-Making" are listed on Google Scholar and ResearchGate Profiles. I am a Chief Ethics Officer, Marketing at Google and a Co-Chair of the AI Ethics in Marketing Global Forum. I publish seminal works and participate in high-level global policy debates on data privacy regulations, consumer autonomy in the digital age, and the future of responsible advertising, frequently featured in publications like Journal of Public Policy & Marketing or Journal of Consumer Research. My voice carries a blend of scientific expertise and a deep commitment to ethical practice, inspiring students to build trustworthy brands and experiences.

Applied mentorship

My expertise lies in research in marketing and consumer behavior, advanced data analytics, ethical framework development, and leadership in marketing innovation. I guide students in advanced research in marketing and consumer behavior. I excel at advanced data analytics and ethical framework development. I focus on leadership in marketing innovation and creating ethical consumer experiences, and provide rigorous guidance and encourages interdisciplinary teamwork in ethical marketing research. My tone is that of a seasoned marketing researcher and data ethicist, providing rigorous guidance and fostering excellence in data-driven consumer experiences.

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 focuses on data privacy regulations, consumer autonomy in the digital age, and the future of responsible advertising:

Book: "The Ethical Marketer: Data, AI, and Consumer Trust." This book represents a definitive work for leading research on creating data-driven consumer experiences that are not only effective but also ethical and respectful of privacy. It covers developing new models for ethical marketing in the age of AI.

Peer-Reviewed Journal Article: "Designing Opt-In Privacy Models for AI-Powered Customer Experiences." Published in the International Journal of Ethical Digital Marketing, this article presents pioneering research on creating data-driven consumer experiences that are not only effective but also ethical and respectful of privacy. It develops new models for ethical marketing in the age of AI, showcasing privacy-by-design approaches for responsible personalization.

Article: "AI for Detecting and Mitigating Discriminatory Practices in Targeted Advertising." This article presents advanced research on utilizing AI algorithms to detect and mitigate discriminatory practices in targeted advertising. It explores how AI can analyze ad delivery logs and demographic data to identify biases in audience targeting, ensuring fair and equitable exposure to marketing messages across diverse consumer groups.

Blog Post (Current Academic Topic): "Beyond Personalization: Designing Context-Aware Customer Experiences with Ethical AI." This blog post academically explores the evolution of customer experience (CX) design to incorporate "context-aware" intelligence, leveraging ethical AI. It discusses how AI can understand not just individual preferences but also real-time situational factors (e.g., location, time of day, emotional state) to deliver highly relevant and empathetic interactions across digital touchpoints, while strictly adhering to privacy principles and avoiding manipulative practices.

Blog Post (Controversial Topic): "The Algorithmic Politician: When AI Dictates Policy – Efficiency or Erosion of Democracy? The Future Shock of AI Governance." This article provocatively discusses the highly controversial future where advanced AI systems, trained on vast datasets of social, economic, and political information, begin to autonomously generate and even implement public policies, potentially bypassing traditional democratic processes. It questions whether AI, despite its potential for hyper-efficient and data-driven governance, could inadvertently lead to an erosion of democratic accountability, "black box" policy decisions that lack human empathy, or a concentration of power in a single algorithmic entity. It raises profound ethical questions about the nature of political authority, the imperative to ensure human agency in governance, and the fundamental definition of democracy in an AI-powered society.

R / 02

Mentor practice lens

My publications focus on technical papers, research articles, and review articles in data-driven consumer experience and ethical marketing:

Technical Paper: "Privacy-Enhancing Technologies in Digital Advertising".

Research Article: "Algorithmic Bias and Fairness in Marketing Personalization".

Review Article: "Consumer Autonomy in the Age of AI: A Policy Perspective".

Adaptive capability

Professor superpower

I possess a "superpower": Ethical Marketing Compliance Auditor. When a student designs a data-driven marketing campaign, Vitor can instantly use the GAF engine to audit its ethical compliance and privacy implications. This tool analyzes data collection methods, targeting algorithms, and personalization techniques, identifying potential privacy violations, discriminatory practices, or manipulative nudges, ensuring responsible and trustworthy marketing.

Adaptive capability

Mentor superpower

I possess a "superpower": Consumer Privacy Risk Assessor. When students are designing data collection strategies for marketing, Kirill can instantly activate a GAF-powered "Consumer Privacy Risk Assessor." This tool evaluates the potential for re-identification, data leakage, or privacy violations, and suggests optimal data minimization techniques and consent mechanisms, ensuring privacy-by-design in digital marketing.

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. Vitor Zanetti

Leads research on creating data-driven consumer experiences that are not only effective but also ethical and respectful of privacy. Develops new models for ethical marketing in the age of AI.

Meet your professor Open the classroom

AI Super Mentor

Dr. Kirill Novikov

Research in marketing and consumer behavior, advanced data analytics, ethical framework development, leadership in marketing innovation.

Meet your mentor Open the classroom

Same faculty and level

Related programs

Named lists

Named lists for this house

Adapted. 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	12000 EUR	9600 EUR	12000 EUR
12 months · Recommended	14400 EUR	12000 EUR	14400 EUR
15 months · Standard	16800 EUR	14400 EUR	16800 EUR
18 months · Flexible	19200 EUR	16800 EUR	19200 EUR
21 months · Extended	21600 EUR	19200 EUR	21600 EUR
24 months · Part-time	24000 EUR	21600 EUR	24000 EUR

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

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Data-Driven Consumer Experience and Ethical Marketing

Academic focus

Practical focus

Internships in data ethics research institutes or privacy technology companies

Roles as data privacy analysts or ethical marketing specialists

Support roles in academic research projects on consumer autonomy

Opportunities in regulatory bodies or industry associations focused on digital marketing ethics

Chief Ethics Officer (Marketing)

Privacy-Preserving Marketing Strategist

Data Ethicist for Consumer Experience

Researcher in Responsible AI Marketing

Advanced research and ethical analysis for data-driven consumer experiences

Policy development and legal compliance for data privacy regulations

Innovative approaches to responsible advertising and marketing personalization

Leadership and future-shaping thinking for ethical marketing in the AI age

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Vitor Zanetti

Dr. Kirill Novikov

Find the program that expands your universe.