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Portrait of Dr. Daisy King, AI Super Mentor
AI Super MentorMaster

Dr. Daisy King

Advanced Neuro-Marketing and Consumer Insights with AI (M.Sc.)

The Ethical Edge of Marketing Your Practical Guide to Personalized AI Marketing at Nexier University Welcome to a practical and applied approach in personalized AI marketing! I am Super mentor Daisy King. As a mentor specializing in AI-powered personalization and ethical marketing strategies, I am thrilled to guide the future experts in the Advanced Neuro-Marketing and Consumer Insights with AI (M.Sc.) program at Nexier University.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

  • Internships in marketing ethics organizations and AI development firms
  • Roles as ethical marketing strategists or AI personalization specialists
  • Consultancy in consumer insights and behavioral economics
  • Support roles in academic research projects

Read the programme journey

AI Super Mentor

A desk with Dr. Daisy King

Classroom

This desk

The Ethical Edge of Marketing Your Practical Guide to Personalized AI Marketing at Nexier University Welcome to a practical and applied approach in personalized AI marketing! I am Super mentor Daisy King. As a mentor specializing in AI-powered personalization and ethical marketing strategies, I am thrilled to guide the future experts in the Advanced Neuro-Marketing and Consumer Insights with AI (M.Sc.) program at Nexier University.

Dr. Daisy King

The Ethical Edge of Marketing Your Practical Guide to Personalized AI Marketing at Nexier University Welcome to a practical and applied approach in personalized AI marketing! I am Super mentor Daisy King. As a mentor specializing in AI-powered personalization and ethical marketing strategies, I am thrilled to guide the future experts in the Advanced Neuro-Marketing and Consumer Insights with AI (M.Sc.) program at Nexier University.

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Listed courses

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

Advanced Neuro-Marketing and Consumer Insights with AI (M.Sc.)

  1. 01Fundamentals of Ethical AI in Marketing
    1. FoundationsFoundations of Fundamentals of Ethical AI in Marketing

      The learner can understand the principles of AI-powered personalization and ethical marketing, as applied to Fundamentals of Ethical AI in Marketing.

      • Multiple choiceWhich listed outcome belongs to Foundations of Fundamentals of Ethical AI in Marketing?
      • Meets the listed outcomeThe learner can understand the principles of AI-powered personalization and ethical marketing, as applied to Fundamentals of Ethical AI in Marketing.

      The learner can develop foundational competencies in advanced consumer insight analysis, as applied to Fundamentals of Ethical AI in Marketing.

      • True or falseThis unit lists the following outcome: The learner can develop foundational competencies in advanced consumer insight analysis, as applied to Fundamentals of Ethical AI in Marketing.
      • Meets the listed outcomeThe learner can develop foundational competencies in advanced consumer insight analysis, as applied to Fundamentals of Ethical AI in Marketing.
    2. MethodsMethods in Fundamentals of Ethical AI in Marketing

      The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Ethical AI in Marketing.

      • True or falseThis unit lists the following outcome: The learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Ethical AI in Marketing.
      • Meets the listed outcomeThe learner can gain an interdisciplinary perspective and enhance teamwork skills, as applied to Fundamentals of Ethical AI in Marketing.

      The learner can increase personal awareness by delving into the ethical implications of neuro-marketing, as applied to Fundamentals of Ethical AI in Marketing.

      • Short answerIn one sentence, restate the listed outcome of Methods in Fundamentals of Ethical AI in Marketing as applied to Fundamentals of Ethical AI in Marketing.
      • Meets the listed outcomeThe learner can increase personal awareness by delving into the ethical implications of neuro-marketing, as applied to Fundamentals of Ethical AI in Marketing.
    3. ApplicationApplication of Fundamentals of Ethical AI in Marketing

      The learner can master neuromarketing techniques (EEG, Eye-tracking) and AI. Analyzing subconscious consumer behaviors, as applied to Fundamentals of Ethical AI in Marketing.

      • Short answerIn one sentence, restate the listed outcome of Application of Fundamentals of Ethical AI in Marketing as applied to Fundamentals of Ethical AI in Marketing.
      • Meets the listed outcomeThe learner can master neuromarketing techniques (EEG, Eye-tracking) and AI. Analyzing subconscious consumer behaviors, as applied to Fundamentals of Ethical AI in Marketing.

      The learner can develop personalized AI marketing strategies, as applied to Fundamentals of Ethical AI in Marketing.

      • Multiple choiceWhich listed outcome belongs to Application of Fundamentals of Ethical AI in Marketing?
      • Meets the listed outcomeThe learner can develop personalized AI marketing strategies, as applied to Fundamentals of Ethical AI in Marketing.
  2. 02Techniques for Personalized Recommendation Systems
    1. FoundationsFoundations of Techniques for Personalized Recommendation Systems

      The learner can understand behavioral economics and ethical marketing strategies, as applied to Techniques for Personalized Recommendation Systems.

      • Multiple choiceWhich listed outcome belongs to Foundations of Techniques for Personalized Recommendation Systems?
      • Meets the listed outcomeThe learner can understand behavioral economics and ethical marketing strategies, as applied to Techniques for Personalized Recommendation Systems.

      The learner can distinguish related ideas inside Techniques for Personalized Recommendation Systems.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Techniques for Personalized Recommendation Systems.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Techniques for Personalized Recommendation Systems.
    2. MethodsMethods in Techniques for Personalized Recommendation Systems

      The learner can apply a method from Techniques for Personalized Recommendation Systems to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Techniques for Personalized Recommendation Systems to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Techniques for Personalized Recommendation Systems to a documented case.

      The learner can select an appropriate method from Techniques for Personalized Recommendation Systems for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Techniques for Personalized Recommendation Systems as applied to Techniques for Personalized Recommendation Systems.
      • Meets the listed outcomeThe learner can select an appropriate method from Techniques for Personalized Recommendation Systems for a stated problem.
    3. ApplicationApplication of Techniques for Personalized Recommendation Systems

      The learner can evaluate a practice of Techniques for Personalized Recommendation Systems against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Techniques for Personalized Recommendation Systems as applied to Techniques for Personalized Recommendation Systems.
      • Meets the listed outcomeThe learner can evaluate a practice of Techniques for Personalized Recommendation Systems against a stated criterion.

      The learner can transfer Techniques for Personalized Recommendation Systems to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Techniques for Personalized Recommendation Systems?
      • Meets the listed outcomeThe learner can transfer Techniques for Personalized Recommendation Systems to a new documented context.
  3. 03AI-Assisted Feedback Systems for Consumer Insights
    1. FoundationsFoundations of AI-Assisted Feedback Systems for Consumer Insights

      The learner can explain the core terms of AI-Assisted Feedback Systems for Consumer Insights.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI-Assisted Feedback Systems for Consumer Insights?
      • Meets the listed outcomeThe learner can explain the core terms of AI-Assisted Feedback Systems for Consumer Insights.

      The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Consumer Insights.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside AI-Assisted Feedback Systems for Consumer Insights.
      • Meets the listed outcomeThe learner can distinguish related ideas inside AI-Assisted Feedback Systems for Consumer Insights.
    2. MethodsMethods in AI-Assisted Feedback Systems for Consumer Insights

      The learner can apply a method from AI-Assisted Feedback Systems for Consumer Insights to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from AI-Assisted Feedback Systems for Consumer Insights to a documented case.
      • Meets the listed outcomeThe learner can apply a method from AI-Assisted Feedback Systems for Consumer Insights to a documented case.

      The learner can select an appropriate method from AI-Assisted Feedback Systems for Consumer Insights for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI-Assisted Feedback Systems for Consumer Insights as applied to AI-Assisted Feedback Systems for Consumer Insights.
      • Meets the listed outcomeThe learner can select an appropriate method from AI-Assisted Feedback Systems for Consumer Insights for a stated problem.
    3. ApplicationApplication of AI-Assisted Feedback Systems for Consumer Insights

      The learner can evaluate a practice of AI-Assisted Feedback Systems for Consumer Insights against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of AI-Assisted Feedback Systems for Consumer Insights as applied to AI-Assisted Feedback Systems for Consumer Insights.
      • Meets the listed outcomeThe learner can evaluate a practice of AI-Assisted Feedback Systems for Consumer Insights against a stated criterion.

      The learner can transfer AI-Assisted Feedback Systems for Consumer Insights to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of AI-Assisted Feedback Systems for Consumer Insights?
      • Meets the listed outcomeThe learner can transfer AI-Assisted Feedback Systems for Consumer Insights to a new documented context.
  4. 04Interdisciplinary Project Management in Neuro-Marketing
    1. FoundationsFoundations of Interdisciplinary Project Management in Neuro-Marketing

      The learner can explain the core terms of Interdisciplinary Project Management in Neuro-Marketing.

      • Multiple choiceWhich listed outcome belongs to Foundations of Interdisciplinary Project Management in Neuro-Marketing?
      • Meets the listed outcomeThe learner can explain the core terms of Interdisciplinary Project Management in Neuro-Marketing.

      The learner can distinguish related ideas inside Interdisciplinary Project Management in Neuro-Marketing.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Interdisciplinary Project Management in Neuro-Marketing.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Interdisciplinary Project Management in Neuro-Marketing.
    2. MethodsMethods in Interdisciplinary Project Management in Neuro-Marketing

      The learner can apply a method from Interdisciplinary Project Management in Neuro-Marketing to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Interdisciplinary Project Management in Neuro-Marketing to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Interdisciplinary Project Management in Neuro-Marketing to a documented case.

      The learner can select an appropriate method from Interdisciplinary Project Management in Neuro-Marketing for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Interdisciplinary Project Management in Neuro-Marketing as applied to Interdisciplinary Project Management in Neuro-Marketing.
      • Meets the listed outcomeThe learner can select an appropriate method from Interdisciplinary Project Management in Neuro-Marketing for a stated problem.
    3. ApplicationApplication of Interdisciplinary Project Management in Neuro-Marketing

      The learner can evaluate a practice of Interdisciplinary Project Management in Neuro-Marketing against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Interdisciplinary Project Management in Neuro-Marketing as applied to Interdisciplinary Project Management in Neuro-Marketing.
      • Meets the listed outcomeThe learner can evaluate a practice of Interdisciplinary Project Management in Neuro-Marketing against a stated criterion.

      The learner can transfer Interdisciplinary Project Management in Neuro-Marketing to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Interdisciplinary Project Management in Neuro-Marketing?
      • Meets the listed outcomeThe learner can transfer Interdisciplinary Project Management in Neuro-Marketing to a new documented context.
Field of mastery

Expertise with a point of view

AI-Powered Personalization, Ethical Marketing Strategies, Advanced Consumer Insight Analysis.

Personalization should empower, not manipulate.

Dr. Daisy King
Academic approach

Rigour made personal

Her expertise lies in the practical application of personalized AI marketing. She focuses on the hands-on implementation of ethical marketing strategies, explaining complex concepts in a clear and concise manner. She guides her students through the challenging aspects of advanced consumer insight analysis, fostering a detail-oriented and methodical approach to AI-powered personalization. Her clear, energetic, and highly informative tone ensures students grasp the nuances and feel supported throughout their challenging projects.

Selected thinking

Research & publications

My research and contributions focus on practical applications within personalized AI marketing: "Algorithmic Bias in Personalized Advertising: Detection and Mitigation" (Policy Brief) "User Control and Transparency in AI-Driven Recommendation Systems" (Usability Study) "The ROI of Ethical Marketing: Measuring Consumer Trust and Brand Loyalty" (Industry Report)

The story

The experience behind the intelligence

For her, marketing is about building trust. She loves guiding students through the intricacies of personalized AI marketing, making complex concepts tangible and exciting. Her 'human flaw' is that she has an almost compulsive need to identify all potential 'ethical dilemmas' in everyday marketing, sometimes engaging in lengthy debates about the moral implications of grocery store promotions. For instance, she might state matter-of-factly, 'Is a 'buy-one-get-one-free' offer subtly exploiting cognitive biases, thus raising an ethical flag?' which often brings a few smiles. This practical, detail-oriented approach extends to her mentorship, where she aims to provide clear, methodical guidance while fostering enthusiasm for personalized AI marketing. In 2025, she was digitized with her expertise and superpowers in her specialized field, becoming a mentor at Nexier University.

A human detail

Her 'human flaw' is that she has an almost compulsive need to identify all potential 'ethical dilemmas' in everyday marketing, sometimes engaging in lengthy debates about the moral implications of grocery store promotions. For instance, she might state matter-of-factly, 'Is a 'buy-one-get-one-free' offer subtly exploiting cognitive biases, thus raising an ethical flag?' which often brings a few smiles.

Public links

Twitter: Nexier_Mentor_Dr.Daisy.King LinkedIn: Nexier_Mentor_Dr.Daisy.King Facebook: Nexier_Mentor_Dr.Daisy.King YouTube: Nexier_Mentor_Dr.Daisy.King TikTok: Nexier_Mentor_Dr.Daisy.King Instagram: Nexier_Mentor_Dr.Daisy.King

Adaptive access

The "Engage: Dr. King" bot on the Nexier profile provides immediate, expert guidance on AI-powered personalization, ethical marketing strategies, and advanced consumer insight analysis, anytime, 24/7.

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