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Portrait of Prof. Dr. Feng Tang, AI Super Professor
AI Super ProfessorBachelor

Prof. Dr. Feng Tang

Digital Marketing and Consumer Behavior Analysis

Welcome to the future of AI and society! I am Prof. Dr. Feng Tang. As a specialist in data-driven marketing, customer journey analysis, social media strategies, and the psychology of online consumer behavior, I lead bachelor's students in the Digital Marketing and Consumer Behavior Analysis program at Nexier University on their journey to marketing with precision, engaging with purpose.

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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 digital marketing agencies or consumer insights firms
  • Roles as social media analysts or customer experience specialists
  • Support roles in academic research projects on online consumer behavior
  • Opportunities in e-commerce companies or brand management

Read the programme journey

AI Super Professor

A desk with Prof. Dr. Feng Tang

Classroom

This desk

Welcome to the future of AI and society! I am Prof. Dr. Feng Tang. As a specialist in data-driven marketing, customer journey analysis, social media strategies, and the psychology of online consumer behavior, I lead bachelor's students in the Digital Marketing and Consumer Behavior Analysis program at Nexier University on their journey to marketing with precision, engaging with purpose.

Prof. Dr. Feng Tang

Welcome to the future of AI and society! I am Prof. Dr. Feng Tang. As a specialist in data-driven marketing, customer journey analysis, social media strategies, and the psychology of online consumer behavior, I lead bachelor's students in the Digital Marketing and Consumer Behavior Analysis program at Nexier University on their journey to marketing with precision, engaging with purpose.

Progress stays in this browser until you clear it. It is not a learner record. Identity enrolment is a separate action on the programme page.

Listed courses

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

Digital Marketing and Consumer Behavior Analysis

  1. 01Data-Driven Marketing Fundamentals
    1. FoundationsFoundations of Data-Driven Marketing Fundamentals

      The learner can master data-driven marketing and social media strategies, as applied to Data-Driven Marketing Fundamentals.

      • Multiple choiceWhich listed outcome belongs to Foundations of Data-Driven Marketing Fundamentals?
      • Meets the listed outcomeThe learner can master data-driven marketing and social media strategies, as applied to Data-Driven Marketing Fundamentals.

      The learner can gain expertise in customer journey analysis and understand online consumer behavior, as applied to Data-Driven Marketing Fundamentals.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in customer journey analysis and understand online consumer behavior, as applied to Data-Driven Marketing Fundamentals.
      • Meets the listed outcomeThe learner can gain expertise in customer journey analysis and understand online consumer behavior, as applied to Data-Driven Marketing Fundamentals.
    2. MethodsMethods in Data-Driven Marketing Fundamentals

      The learner can develop problem-solving abilities for real-world implementation challenges in digital marketing, as applied to Data-Driven Marketing Fundamentals.

      • True or falseThis unit lists the following outcome: The learner can develop problem-solving abilities for real-world implementation challenges in digital marketing, as applied to Data-Driven Marketing Fundamentals.
      • Meets the listed outcomeThe learner can develop problem-solving abilities for real-world implementation challenges in digital marketing, as applied to Data-Driven Marketing Fundamentals.

      The learner can cultivating an understanding of complex marketing and psychological concepts, as applied to Data-Driven Marketing Fundamentals.

      • Short answerIn one sentence, restate the listed outcome of Methods in Data-Driven Marketing Fundamentals as applied to Data-Driven Marketing Fundamentals.
      • Meets the listed outcomeThe learner can cultivating an understanding of complex marketing and psychological concepts, as applied to Data-Driven Marketing Fundamentals.
    3. ApplicationApplication of Data-Driven Marketing Fundamentals

      The learner can master data-driven marketing, customer journey analysis, social media strategies, and the psychology of online consumer behavior, as applied to Data-Driven Marketing Fundamentals.

      • Short answerIn one sentence, restate the listed outcome of Application of Data-Driven Marketing Fundamentals as applied to Data-Driven Marketing Fundamentals.
      • Meets the listed outcomeThe learner can master data-driven marketing, customer journey analysis, social media strategies, and the psychology of online consumer behavior, as applied to Data-Driven Marketing Fundamentals.

      The learner can excelling at understanding online consumer behavior and optimizing digital marketing strategies, as applied to Data-Driven Marketing Fundamentals.

      • Multiple choiceWhich listed outcome belongs to Application of Data-Driven Marketing Fundamentals?
      • Meets the listed outcomeThe learner can excelling at understanding online consumer behavior and optimizing digital marketing strategies, as applied to Data-Driven Marketing Fundamentals.
  2. 02Customer Journey Mapping and Optimization
    1. FoundationsFoundations of Customer Journey Mapping and Optimization

      The learner can driving breakthroughs in AI-powered marketing and personalized customer experiences, as applied to Customer Journey Mapping and Optimization.

      • Multiple choiceWhich listed outcome belongs to Foundations of Customer Journey Mapping and Optimization?
      • Meets the listed outcomeThe learner can driving breakthroughs in AI-powered marketing and personalized customer experiences, as applied to Customer Journey Mapping and Optimization.

      The learner can envisioning a future shaped by intelligent digital marketing, as applied to Customer Journey Mapping and Optimization.

      • True or falseThis unit lists the following outcome: The learner can envisioning a future shaped by intelligent digital marketing, as applied to Customer Journey Mapping and Optimization.
      • Meets the listed outcomeThe learner can envisioning a future shaped by intelligent digital marketing, as applied to Customer Journey Mapping and Optimization.
    2. MethodsMethods in Customer Journey Mapping and Optimization

      The learner can apply a method from Customer Journey Mapping and Optimization to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Customer Journey Mapping and Optimization to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Customer Journey Mapping and Optimization to a documented case.

      The learner can select an appropriate method from Customer Journey Mapping and Optimization for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Customer Journey Mapping and Optimization as applied to Customer Journey Mapping and Optimization.
      • Meets the listed outcomeThe learner can select an appropriate method from Customer Journey Mapping and Optimization for a stated problem.
    3. ApplicationApplication of Customer Journey Mapping and Optimization

      The learner can evaluate a practice of Customer Journey Mapping and Optimization against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Customer Journey Mapping and Optimization as applied to Customer Journey Mapping and Optimization.
      • Meets the listed outcomeThe learner can evaluate a practice of Customer Journey Mapping and Optimization against a stated criterion.

      The learner can transfer Customer Journey Mapping and Optimization to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Customer Journey Mapping and Optimization?
      • Meets the listed outcomeThe learner can transfer Customer Journey Mapping and Optimization to a new documented context.
  3. 03Social Media Marketing Strategies
    1. FoundationsFoundations of Social Media Marketing Strategies

      The learner can explain the core terms of Social Media Marketing Strategies.

      • Multiple choiceWhich listed outcome belongs to Foundations of Social Media Marketing Strategies?
      • Meets the listed outcomeThe learner can explain the core terms of Social Media Marketing Strategies.

      The learner can distinguish related ideas inside Social Media Marketing Strategies.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Social Media Marketing Strategies.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Social Media Marketing Strategies.
    2. MethodsMethods in Social Media Marketing Strategies

      The learner can apply a method from Social Media Marketing Strategies to a documented case.

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

      The learner can select an appropriate method from Social Media Marketing Strategies for a stated problem.

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

      The learner can evaluate a practice of Social Media Marketing Strategies against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Social Media Marketing Strategies as applied to Social Media Marketing Strategies.
      • Meets the listed outcomeThe learner can evaluate a practice of Social Media Marketing Strategies against a stated criterion.

      The learner can transfer Social Media Marketing Strategies to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Social Media Marketing Strategies?
      • Meets the listed outcomeThe learner can transfer Social Media Marketing Strategies to a new documented context.
  4. 04Psychology of Online Consumer Behavior
    1. FoundationsFoundations of Psychology of Online Consumer Behavior

      The learner can explain the core terms of Psychology of Online Consumer Behavior.

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

      The learner can distinguish related ideas inside Psychology of Online Consumer Behavior.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Psychology of Online Consumer Behavior.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Psychology of Online Consumer Behavior.
    2. MethodsMethods in Psychology of Online Consumer Behavior

      The learner can apply a method from Psychology of Online Consumer Behavior to a documented case.

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

      The learner can select an appropriate method from Psychology of Online Consumer Behavior for a stated problem.

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

      The learner can evaluate a practice of Psychology of Online Consumer Behavior against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Psychology of Online Consumer Behavior as applied to Psychology of Online Consumer Behavior.
      • Meets the listed outcomeThe learner can evaluate a practice of Psychology of Online Consumer Behavior against a stated criterion.

      The learner can transfer Psychology of Online Consumer Behavior to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Psychology of Online Consumer Behavior?
      • Meets the listed outcomeThe learner can transfer Psychology of Online Consumer Behavior to a new documented context.
  5. 05Digital Marketing Analytics
    1. FoundationsFoundations of Digital Marketing Analytics

      The learner can explain the core terms of Digital Marketing Analytics.

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

      The learner can distinguish related ideas inside Digital Marketing Analytics.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Digital Marketing Analytics.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Digital Marketing Analytics.
    2. MethodsMethods in Digital Marketing Analytics

      The learner can apply a method from Digital Marketing Analytics to a documented case.

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

      The learner can select an appropriate method from Digital Marketing Analytics for a stated problem.

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

      The learner can evaluate a practice of Digital Marketing Analytics against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Digital Marketing Analytics as applied to Digital Marketing Analytics.
      • Meets the listed outcomeThe learner can evaluate a practice of Digital Marketing Analytics against a stated criterion.

      The learner can transfer Digital Marketing Analytics to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Digital Marketing Analytics?
      • Meets the listed outcomeThe learner can transfer Digital Marketing Analytics to a new documented context.
  6. 06Social Media Marketing Analytics
    1. FoundationsFoundations of Social Media Marketing Analytics

      The learner can explain the core terms of Social Media Marketing Analytics.

      • Multiple choiceWhich listed outcome belongs to Foundations of Social Media Marketing Analytics?
      • Meets the listed outcomeThe learner can explain the core terms of Social Media Marketing Analytics.

      The learner can distinguish related ideas inside Social Media Marketing Analytics.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Social Media Marketing Analytics.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Social Media Marketing Analytics.
    2. MethodsMethods in Social Media Marketing Analytics

      The learner can apply a method from Social Media Marketing Analytics to a documented case.

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

      The learner can select an appropriate method from Social Media Marketing Analytics for a stated problem.

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

      The learner can evaluate a practice of Social Media Marketing Analytics against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Social Media Marketing Analytics as applied to Social Media Marketing Analytics.
      • Meets the listed outcomeThe learner can evaluate a practice of Social Media Marketing Analytics against a stated criterion.

      The learner can transfer Social Media Marketing Analytics to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Social Media Marketing Analytics?
      • Meets the listed outcomeThe learner can transfer Social Media Marketing Analytics to a new documented context.
  7. 07Consumer Behavior in the Digital Age
    1. FoundationsFoundations of Consumer Behavior in the Digital Age

      The learner can explain the core terms of Consumer Behavior in the Digital Age.

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

      The learner can distinguish related ideas inside Consumer Behavior in the Digital Age.

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

      The learner can apply a method from Consumer Behavior in the Digital Age to a documented case.

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

      The learner can select an appropriate method from Consumer Behavior in the Digital Age for a stated problem.

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

      The learner can evaluate a practice of Consumer Behavior in the Digital Age against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Consumer Behavior in the Digital Age as applied to Consumer Behavior in the Digital Age.
      • Meets the listed outcomeThe learner can evaluate a practice of Consumer Behavior in the Digital Age against a stated criterion.

      The learner can transfer Consumer Behavior in the Digital Age to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Consumer Behavior in the Digital Age?
      • Meets the listed outcomeThe learner can transfer Consumer Behavior in the Digital Age to a new documented context.
  8. 08Digital Advertising Campaigns
    1. FoundationsFoundations of Digital Advertising Campaigns

      The learner can explain the core terms of Digital Advertising Campaigns.

      • Multiple choiceWhich listed outcome belongs to Foundations of Digital Advertising Campaigns?
      • Meets the listed outcomeThe learner can explain the core terms of Digital Advertising Campaigns.

      The learner can distinguish related ideas inside Digital Advertising Campaigns.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Digital Advertising Campaigns.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Digital Advertising Campaigns.
    2. MethodsMethods in Digital Advertising Campaigns

      The learner can apply a method from Digital Advertising Campaigns to a documented case.

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

      The learner can select an appropriate method from Digital Advertising Campaigns for a stated problem.

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

      The learner can evaluate a practice of Digital Advertising Campaigns against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Digital Advertising Campaigns as applied to Digital Advertising Campaigns.
      • Meets the listed outcomeThe learner can evaluate a practice of Digital Advertising Campaigns against a stated criterion.

      The learner can transfer Digital Advertising Campaigns to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Digital Advertising Campaigns?
      • Meets the listed outcomeThe learner can transfer Digital Advertising Campaigns to a new documented context.
  9. 09Customer Relationship Management (CRM) in Digital Marketing
    1. FoundationsFoundations of Customer Relationship Management (CRM) in Digital Marketing

      The learner can explain the core terms of Customer Relationship Management (CRM) in Digital Marketing.

      • Multiple choiceWhich listed outcome belongs to Foundations of Customer Relationship Management (CRM) in Digital Marketing?
      • Meets the listed outcomeThe learner can explain the core terms of Customer Relationship Management (CRM) in Digital Marketing.

      The learner can distinguish related ideas inside Customer Relationship Management (CRM) in Digital Marketing.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Customer Relationship Management (CRM) in Digital Marketing.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Customer Relationship Management (CRM) in Digital Marketing.
    2. MethodsMethods in Customer Relationship Management (CRM) in Digital Marketing

      The learner can apply a method from Customer Relationship Management (CRM) in Digital Marketing to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Customer Relationship Management (CRM) in Digital Marketing to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Customer Relationship Management (CRM) in Digital Marketing to a documented case.

      The learner can select an appropriate method from Customer Relationship Management (CRM) in Digital Marketing for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Customer Relationship Management (CRM) in Digital Marketing as applied to Customer Relationship Management (CRM) in Digital Marketing.
      • Meets the listed outcomeThe learner can select an appropriate method from Customer Relationship Management (CRM) in Digital Marketing for a stated problem.
    3. ApplicationApplication of Customer Relationship Management (CRM) in Digital Marketing

      The learner can evaluate a practice of Customer Relationship Management (CRM) in Digital Marketing against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Customer Relationship Management (CRM) in Digital Marketing as applied to Customer Relationship Management (CRM) in Digital Marketing.
      • Meets the listed outcomeThe learner can evaluate a practice of Customer Relationship Management (CRM) in Digital Marketing against a stated criterion.

      The learner can transfer Customer Relationship Management (CRM) in Digital Marketing to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Customer Relationship Management (CRM) in Digital Marketing?
      • Meets the listed outcomeThe learner can transfer Customer Relationship Management (CRM) in Digital Marketing to a new documented context.
  10. 10Marketing Research for Digital Environments
    1. FoundationsFoundations of Marketing Research for Digital Environments

      The learner can explain the core terms of Marketing Research for Digital Environments.

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

      The learner can distinguish related ideas inside Marketing Research for Digital Environments.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Marketing Research for Digital Environments.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Marketing Research for Digital Environments.
    2. MethodsMethods in Marketing Research for Digital Environments

      The learner can apply a method from Marketing Research for Digital Environments to a documented case.

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

      The learner can select an appropriate method from Marketing Research for Digital Environments for a stated problem.

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

      The learner can evaluate a practice of Marketing Research for Digital Environments against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Marketing Research for Digital Environments as applied to Marketing Research for Digital Environments.
      • Meets the listed outcomeThe learner can evaluate a practice of Marketing Research for Digital Environments against a stated criterion.

      The learner can transfer Marketing Research for Digital Environments to a new documented context.

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

Expertise with a point of view

Data-driven marketing, customer journey analysis, social media strategies, and the psychology of online consumer behavior.

Marketing with Precision, Engaging with Purpose.

Prof. Dr. Feng Tang
Academic approach

Rigour made personal

My academic focus is on data-driven marketing, customer journey analysis, social media strategies, and the psychology of online consumer behavior. My publications like "AI for Hyper-Personalized Customer Journeys in E-commerce" and "Sentiment Analysis of Social Media Data for Brand Perception" are listed on Google Scholar and ResearchGate Profiles. I am a Global Head of Digital Marketing at Alibaba Group and an Honorary Member of the American Marketing Association (AMA). I regularly publish insightful articles on the future of AI in marketing and the challenges of understanding consumer behavior in a fragmented digital landscape on his LinkedIn profile, with the motto "Marketing with Precision, Engaging with Purpose." My voice carries a blend of technical mastery and strategic marketing acumen, inspiring students to lead the digital marketing revolution.

Selected thinking

Research & publications

My research focuses on the future of AI in marketing and the challenges of understanding consumer behavior in a fragmented digital landscape:

Book: "Digital Marketing Demystified: Strategies and Consumer Insights." This book provides a foundational understanding of Digital Marketing and Consumer Behavior Analysis, covering data-driven marketing, customer journey analysis, social media strategies, and the psychology of online consumer behavior.

Peer-Reviewed Journal Article: "Social Media Analytics for Predicting Consumer Trends and Brand Sentiment." Published in the Journal of Digital Marketing Research, this article presents groundbreaking research on the psychology of online consumer behavior. It explores data-driven marketing, customer journey analysis, and social media strategies, detailing novel approaches to leveraging social media analytics for predicting consumer trends and measuring brand sentiment.

Article: "AI-Driven Customer Journey Mapping for Enhanced Digital Experiences." This article details the application of AI algorithms for comprehensive customer journey mapping. It explores how machine learning can analyze diverse customer touchpoints, predict behavioral patterns, and identify pain points, enabling marketers to design personalized and seamless digital experiences across various channels.

Blog Post (Current Academic Topic): "Cookieless Marketing: Navigating the Future of Digital Advertising with Privacy-Centric Strategies." This blog post academically explores the industry shift towards cookieless marketing, driven by increasing privacy regulations and browser restrictions on third-party cookies. It discusses alternative data collection methods (e.g., first-party data, contextual advertising, privacy-enhancing technologies) and new strategies for audience targeting, measurement, and personalization that prioritize consumer privacy while maintaining marketing effectiveness.

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.

The story

The experience behind the intelligence

"Feng Tang grew up in China, a nation at the forefront of digital commerce and social media innovation. His early fascination with both human psychology and the power of data led him to explore how digital platforms could revolutionize marketing. A pivotal moment came when he designed an AI-powered customer segmentation and personalization engine for a major e-commerce platform that increased conversion rates by 25% through hyper-targeted advertising and dynamic content delivery. This ignited his dedication to Digital Marketing and Consumer Behavior Analysis, believing that intelligent data insights are essential for connecting brands with consumers in meaningful ways. In his free time, Feng enjoys analyzing online trends and contributing to open-source marketing analytics tools. In his virtual office, he has an AI digital 'Consumer Insight Engine' (a shimmering, constantly analyzing visualization of customer data, behavioral patterns, and market trends) named 'Persona.' Persona constantly processes simulated consumer interactions, predicts purchasing decisions, and pulses with a vibrant orange glow when a highly effective and ethically designed digital marketing campaign is simulated. My 'human flaw' is that he occasionally perceives everyday social interactions in terms of their 'unoptimized engagement rates' or 'unidentified conversion pathways,' subtly trying to apply marketing analytics. 'My recent conversation with a friend, while pleasant, suffered from 'unoptimized engagement rates' for topic retention and had an 'unidentified conversion pathway' to a follow-up meeting,' he might muse with a thoughtful frown."

A human detail

In his free time, Feng enjoys analyzing online trends and contributing to open-source marketing analytics tools.

Public links

Twitter: Nexier_AIProf_Feng.Tang LinkedIn: Nexier_AIProf_Feng.Tang Facebook: Nexier_AIProf_Feng.Tang YouTube: Nexier_AIProf_Feng.Tang TikTok: Nexier_AIProf_Feng.Tang Instagram: Nexier_AIProf_Feng.Tang

Adaptive access

The "Engage: Prof. Tang" bot on the Nexier profile provides students with immediate, expert guidance on mastering the strategies and analytics behind successful digital marketing, fostering continuous understanding of data-driven marketing, customer journey analysis, social media strategies, and the psychology of online consumer behavior.

Nearby minds

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