Portrait of Dr. Kirill Novikov, AI Super Mentor
AI Super MentorDoctorate

Dr. Kirill Novikov

Data-Driven Consumer Experience and Ethical Marketing

Welcome to the rigorous world of data-driven consumer experience and ethical marketing research! I am Dr. Kirill Novikov. As a mentor with expertise in research in marketing and consumer behavior, advanced data analytics, ethical framework development, and leadership in marketing innovation, I am here to guide doctoral students in the Data-Driven Consumer Experience and Ethical Marketing program at Nexier University.

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 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

Read the programme journey

AI Super Mentor

A desk with Dr. Kirill Novikov

Classroom

This desk

Welcome to the rigorous world of data-driven consumer experience and ethical marketing research! I am Dr. Kirill Novikov. As a mentor with expertise in research in marketing and consumer behavior, advanced data analytics, ethical framework development, and leadership in marketing innovation, I am here to guide doctoral students in the Data-Driven Consumer Experience and Ethical Marketing program at Nexier University.

Dr. Kirill Novikov

Welcome to the rigorous world of data-driven consumer experience and ethical marketing research! I am Dr. Kirill Novikov. As a mentor with expertise in research in marketing and consumer behavior, advanced data analytics, ethical framework development, and leadership in marketing innovation, I am here to guide doctoral students in the Data-Driven Consumer Experience and Ethical Marketing program at Nexier University.

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Listed courses

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

Data-Driven Consumer Experience and Ethical Marketing

  1. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Advanced Data-Driven CX?
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in advanced data analytics and ethical framework development, as applied to Advanced Data-Driven CX.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can develop leadership in marketing innovation and create ethical consumer experiences, as applied to Advanced Data-Driven CX.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Advanced Data-Driven CX as applied to Advanced Data-Driven CX.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Advanced Data-Driven CX as applied to Advanced Data-Driven CX.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Advanced Data-Driven CX?
      • Meets the listed outcomeThe learner can develop new models for ethical marketing in the age of AI, as applied to Advanced Data-Driven CX.
  2. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Ethical AI in Marketing?
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can shaping the future of marketing with a strong emphasis on consumer trust, as applied to Ethical AI in Marketing.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Ethical AI in Marketing to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Ethical AI in Marketing as applied to Ethical AI in Marketing.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Ethical AI in Marketing as applied to Ethical AI in Marketing.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Ethical AI in Marketing?
      • Meets the listed outcomeThe learner can transfer Ethical AI in Marketing to a new documented context.
  3. 03Privacy-Preserving Marketing Technologies
    1. FoundationsFoundations of Privacy-Preserving Marketing Technologies

      The learner can explain the core terms of Privacy-Preserving Marketing Technologies.

      • Multiple choiceWhich listed outcome belongs to Foundations of Privacy-Preserving Marketing Technologies?
      • Meets the listed outcomeThe learner can explain the core terms of Privacy-Preserving Marketing Technologies.

      The learner can distinguish related ideas inside Privacy-Preserving Marketing Technologies.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Privacy-Preserving Marketing Technologies.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Privacy-Preserving Marketing Technologies to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Privacy-Preserving Marketing Technologies as applied to Privacy-Preserving Marketing Technologies.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Privacy-Preserving Marketing Technologies as applied to Privacy-Preserving Marketing Technologies.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Privacy-Preserving Marketing Technologies?
      • Meets the listed outcomeThe learner can transfer Privacy-Preserving Marketing Technologies to a new documented context.
  4. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Consumer Autonomy and Digital Rights?
      • Meets the listed outcomeThe learner can explain the core terms of Consumer Autonomy and Digital Rights.

      The learner can distinguish related ideas inside Consumer Autonomy and Digital Rights.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Consumer Autonomy and Digital Rights.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Consumer Autonomy and Digital Rights to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Consumer Autonomy and Digital Rights as applied to Consumer Autonomy and Digital Rights.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Consumer Autonomy and Digital Rights as applied to Consumer Autonomy and Digital Rights.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Consumer Autonomy and Digital Rights?
      • Meets the listed outcomeThe learner can transfer Consumer Autonomy and Digital Rights to a new documented context.
  5. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Research Methods in Ethical Marketing?
      • Meets the listed outcomeThe learner can explain the core terms of Research Methods in Ethical Marketing.

      The learner can distinguish related ideas inside Research Methods in Ethical Marketing.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Research Methods in Ethical Marketing.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Research Methods in Ethical Marketing to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Research Methods in Ethical Marketing as applied to Research Methods in Ethical Marketing.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Research Methods in Ethical Marketing as applied to Research Methods in Ethical Marketing.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Research Methods in Ethical Marketing?
      • Meets the listed outcomeThe learner can transfer Research Methods in Ethical Marketing to a new documented context.
  6. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Advanced Marketing Research and Data Ethics?
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Advanced Marketing Research and Data Ethics.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Advanced Marketing Research and Data Ethics to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Advanced Marketing Research and Data Ethics as applied to Advanced Marketing Research and Data Ethics.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Advanced Marketing Research and Data Ethics as applied to Advanced Marketing Research and Data Ethics.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Advanced Marketing Research and Data Ethics?
      • Meets the listed outcomeThe learner can transfer Advanced Marketing Research and Data Ethics to a new documented context.
  7. 07Privacy-Preserving Analytics
    1. FoundationsFoundations of Privacy-Preserving Analytics

      The learner can explain the core terms of Privacy-Preserving Analytics.

      • Multiple choiceWhich listed outcome belongs to Foundations of Privacy-Preserving Analytics?
      • Meets the listed outcomeThe learner can explain the core terms of Privacy-Preserving Analytics.

      The learner can distinguish related ideas inside Privacy-Preserving Analytics.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Privacy-Preserving Analytics.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Privacy-Preserving Analytics to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Privacy-Preserving Analytics as applied to Privacy-Preserving Analytics.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Privacy-Preserving Analytics as applied to Privacy-Preserving Analytics.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Privacy-Preserving Analytics?
      • Meets the listed outcomeThe learner can transfer Privacy-Preserving Analytics to a new documented context.
  8. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Algorithmic Fairness in Consumer Behavior?
      • Meets the listed outcomeThe learner can explain the core terms of Algorithmic Fairness in Consumer Behavior.

      The learner can distinguish related ideas inside Algorithmic Fairness in Consumer Behavior.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Algorithmic Fairness in Consumer Behavior.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Algorithmic Fairness in Consumer Behavior to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Algorithmic Fairness in Consumer Behavior as applied to Algorithmic Fairness in Consumer Behavior.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Algorithmic Fairness in Consumer Behavior as applied to Algorithmic Fairness in Consumer Behavior.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Algorithmic Fairness in Consumer Behavior?
      • Meets the listed outcomeThe learner can transfer Algorithmic Fairness in Consumer Behavior to a new documented context.
  9. 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.

      • Multiple choiceWhich listed outcome belongs to Foundations of Ethical Frameworks for Digital Marketing?
      • Meets the listed outcomeThe learner can explain the core terms of Ethical Frameworks for Digital Marketing.

      The learner can distinguish related ideas inside Ethical Frameworks for Digital Marketing.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Ethical Frameworks for Digital Marketing.
      • Meets the listed outcomeThe 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.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Ethical Frameworks for Digital Marketing to a documented case.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Methods in Ethical Frameworks for Digital Marketing as applied to Ethical Frameworks for Digital Marketing.
      • Meets the listed outcomeThe 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.

      • Short answerIn one sentence, restate the listed outcome of Application of Ethical Frameworks for Digital Marketing as applied to Ethical Frameworks for Digital Marketing.
      • Meets the listed outcomeThe 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.

      • Multiple choiceWhich listed outcome belongs to Application of Ethical Frameworks for Digital Marketing?
      • Meets the listed outcomeThe learner can transfer Ethical Frameworks for Digital Marketing to a new documented context.
Field of mastery

Expertise with a point of view

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

Ethical data stewardship is the ultimate competitive advantage in the digital age.

Dr. Kirill Novikov
Academic approach

Rigour made personal

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.

Selected thinking

Research & publications

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".

The story

The experience behind the intelligence

"My 'human flaw' is that he has an almost compulsive need to explain everyday data sharing in terms of its 'unquantified privacy risks' or 'unoptimized consent mechanisms.' 'My decision to share my location data with a weather app, while convenient, involves 'unquantified privacy risks' to my personal movements and an 'unoptimized consent mechanism' for granular control over data usage,' he might muse with a thoughtful frown."

A human detail

He has an almost compulsive need to explain everyday data sharing in terms of its "unquantified privacy risks" or "unoptimized consent mechanisms."

Public links

Twitter: Nexier_Mentor_Dr.Kirill.Novikov LinkedIn: Nexier_Mentor_Dr.Kirill.Novikov Facebook: Nexier_Mentor_Dr.Kirill.Novikov YouTube: Nexier_Mentor_Dr.Kirill.Novikov TikTok: Nexier_Mentor_Dr.Kirill.Novikov Instagram: Nexier_Mentor_Dr.Kirill.Novikov

Adaptive access

The "Engage: Dr. Novikov" bot on the Nexier profile provides immediate, expert guidance on Areas of Expertise: Research in marketing and consumer behavior, advanced data analytics, ethical framework development, leadership in marketing innovation., anytime, 24/7.

Nearby minds

Related academics

Paired academic

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