AI and Data Engineering Solutions for Effective Marketing

Cover
Title Page
Copyright
Book Series
   Mission
   Coverage
Preface
   1. OVERVIEW OF THE TOPIC
   2. CURRENT ISSUES
   3. TARGET AUDIENCE AND POTENTIAL USES
   4. OVERALL DESCRIPTION OF CONTRIBUTIONS
   5. CONCLUSION
   REFERENCES
Chapter 1: Artificial Intelligence in Costumer Acquisition:
   ABSTRACT
   1. INTRODUCTION
   2. CONCEPTUAL FRAMEWORK
   3. METHODOLOGY
   4. BIBLIOMETRIC ANALYSIS
   5. DISCUSSION AND MANAGERIAL CONTRIBUTIONS
   6. CONCLUSION, LIMITS, AND PERSPECTIVES
   REFERENCES
Chapter 2: Marketing Applications of Emerging Technologies:
   ABSTRACT
   1. INTRODUCTION
   2. LITERATURE REVIEW
   3. METHODOLOGY
   4. FINDINGS
   5. DISCUSSION AND SUMMARY
   6. CONCLUSION, LIMITATIONS, AND PERSPECTIVES
   REFERENCES
Chapter 3: The Application of AI in Neuromarketing:
   ABSTRACT
   1. INTRODUCTION
   2. RESEARCH METHODOLOGY
   3. FINDINGS AND DISCUSSION
   4. CONCLUSION
   REFERENCES
   KEY TERMS AND DEFINITIONS
Chapter 4: Artificial Intelligence Applications in Marketing:
   ABSTRACT
   1. INTRODUCTION
   2. THEORETICAL FRAMEWORK
   3. METHODOLOGY
   4. RESULTS
   5. DISCUSSION
   CONCLUSION
   REFERENCES
Chapter 5: A Systematic Review of Augmented Reality Experiential Marketing:
   ABSTRACT
   INTRODUCTION
   BACKGROUND
   METHODOLOGY OF THE SYSTEMATIC REVIEW
   RESULTS AND DISCUSSION
   CONCLUSION AND LIMITATIONS
   REFERENCES
Chapter 6: Factors Affecting Citizen Intention to Use Smart City Services in Morocco:
   ABSTRACT
   1. INTRODUCTION
   2. LITERATURE REVIEW
   3. METHODOLOGY
   4. RESULTS AND DISCUSSIONS
   5. CONCLUSION AND PERSPECTIVES
   REFERENCES
Chapter 7: Towards Agile Marketing:
   ABSTRACT
   1. INTRODUCTION
   2. TOWARDS AGILE MARKETING
   3. TRANSITIONING FROM TRADITIONAL TO AGILE MARKETING APPROACHES
   4. KEY AGILE FRAMEWORKS AND PRACTICES FOR MARKETING
   5. STRATEGIES FOR AGILE METHODOLOGIES IN MARKETING
   6. CONCLUSION
   REFERENCES
Chapter 8: The Potential Benefits of Integrating Business Intelligence and CRM
   ABSTRACT
   1. INTRODUCTION
   2. UNDERSTANDING THE INTEGRATION OF CRM AND BI
   3. BENEFITS OF INTEGRATING CRM WITH BI
   4. IMPLEMENTATION STRATEGIES
   5. CONCLUSION
   REFERENCES
Chapter 9: Unleashing the Potential of Artificial Intelligence (AI) in Customer Engagement
   ABSTRACT
   1. INTRODUCTION
   2. DECODING CONSUMER BEHAVIOR THROUGH AI-POWERED INSIGHTS
   3. AI-POWERED PERSONALIZATION TO ENHANCE BRAND-CONSUMER BONDS
   4. AUTOMATION'S ROLE IN MODERN CUSTOMER ENGAGEMENTS
   5. ETHICAL IMPLICATIONS AND PRIVACY CONCERNS IN AI-DRIVEN CUSTOMER ENGAGEMENT
   6. CONCLUSION
   REFERENCES
   ADDITIONAL READING
   KEY TERMS AND DEFINITIONS
Chapter 10: Optimizing Marketing Campaigns With AI-Driven Insights on Mobile User Behavior
   ABSTRACT
   1. INTRODUCTION
   2. UNDERSTANDING MOBILE USER BEHAVIOR
   3. FACTORS AFFECTING MOBILE USER BEHAVIOR
   4. ARTIFICIAL INTELLIGENCE IN MARKETING RESEARCH
   5. ARTIFICIAL INTELLIGENCE IN ANALYZING CONSUMER BEHAVIOR
   6. IMPACT OF ARTIFICIAL INTELLIGENCE ALGORITHMS ON MOBILE USER DATA
   7. PERSONALIZATION WITH ARTIFICIAL INTELLIGENCE
   8. AI-POWERED CAMPAIGN OPTIMIZATION AND REAL-TIME MARKETING
   9. OPTIMIZATION DIMENSIONS THAT CAN BE GENERATED BY ARTIFICIAL INTELLIGENCE
   10. SEGMENTATION AND POSITIONING OF ADVERTISING ACTIONS SUPPORTED BY ARTIFICIAL INTELLIGENCE
   11. APPLICATION OF ARTIFICIAL INTELLIGENCE IN AD OPTIMIZATION AND TARGETING
   12. ETHICAL CONSIDERATIONS IN ARTIFICIAL INTELLIGENCE SUPPORTED MOBILE MARKETING APPLICATIONS
   13. CONCLUSION
   REFERENCES
   ADDITIONAL READINGS
   KEY TERMS AND DEFINITIONS
Chapter 11: Applying Artificial Intelligence to Enhance E-Commerce Marketing Strategies:
   ABSTRACT
   1. INTRODUCTION
   2. LITERATURE REVIEW OF E-COMMERCE MARKETING IN MOROCCO
   3. E-COMMERCE AND MARKETING STRATEGIES
   4. APPLYING ARTIFICIAL INTELLIGENCE TO ENHANCE E-COMMERCE MARKETING
   5. METHODOLOGY
   6. ENHANCING E-COMMERCE MARKETING THROUGH AI: A CASE STUDY OF JUMIA MARKET IN MOROCCO
   7. DISCUSSION
   8. RESULTS AND CHALLENGES
   9. FUTURE IMPLICATIONS AND RECOMMENDATIONS
   10. CONCLUSION
   REFERENCES
Chapter 12: The Influence of Digital Marketing on Business Performance:
   ABSTRACT
   1. INTRODUCTION
   2. LITERATURE REVIEW
   3. HYPOTHESES DEVELOPMENT
   4. METHODOLOGY
   5. RESULTS AND ANALYSIS
   6. DISCUSSION
   7. IMPLICATIONS, LIMITATIONS, AND FUTURE RESEARCH
   8. CONCLUSION
   REFERENCES
Chapter 13: Big Data and Consumer Behavior:
   ABSTRACT
   1. INTRODUCTION
   2. LITERATURE REVIEW
   3. METHODOLOGY
   4. RESULTS
   5. DISCUSSION
   6. CONCLUSION
   REFERENCES
Chapter 14: Data-Driven Strategies for Enhancing Customer Retention in Moroccan Telecoms
   ABSTRACT
   1. INTRODUCTION
   2. JUSTIFICATION FOR LOGISTIC REGRESSION AND OTHER DATA ANALYSIS TECHNIQUES
   3. KEY FINDINGS IN TELECOMMUNICATIONS CUSTOMER RETENTION
   4. FROM ANALYSIS TO ACTION: UNDERSTANDING CHURN IN THE TELECOMMUNICATIONS SECTOR
   5. IMPLEMENTING RESEARCH FINDINGS IN TELECOM CUSTOMER RETENTION
   6. CONCLUSION
   REFERENCES
Chapter 15: Digitalization of Auditing Practices and Customer Experience Optimization:
   ABSTRACT
   1. INTRODUCTION
   2. THEORETICAL FRAMEWORK
   3. METHODOLOGY
   4. RESULTS
   5. DISCUSSION: PRESENTATION OF THE DELPHI SCENARIO
   6. CONCLUSION
   REFERENCES
Chapter 16: Client Satisfaction in the Moroccan Banking Sector:
   ABSTRACT
   1. INTRODUCTION
   2. GENERAL FRAMEWORK OF THE ANALYSIS
   3. HYPOTHESES FORMULATION AND CONCEPTUAL MODEL
   4. RESEARCH METHODOLOGY
   5. ANALYSIS OF RESULTS, INTERPRETATION, AND DISCUSSION OF RESULTS
   6. CONCLUSION
   REFERENCES
Chapter 17: Phygital Marketing and the Pain of Paying:
   ABSTRACT
   1. INTRODUCTION
   2. THEORETICAL AND CONCEPTUAL FRAMEWORK
   3. RESEARCH METHODOLOGY: NETNOGRAPHIC ANALYSIS
   4. RESULTS AND DISCUSSION
   5. CONCLUSION
   REFERENCES
Chapter 18: Exploratory Analysis of the Impact of Phygital on the Customer Experience
   ABSTRACT
   1. INTRODUCTION
   2. THEORETICAL AND CONCEPTUAL FRAMEWORK
   3. HYPOTHESES AND CONCEPTUAL FRAMEWORK
   4. DISCUSSION
   5. CONCLUSION
   REFERENCES
Chapter 19: Design and Implementation of a Hotel Recommendation System Using Deep Learning
   ABSTRACT
   1. INTRODUCTION
   2. DEEP LEARNING IN HOSPITALITY
   3. METHODOLOGY
   4. DATA ANALYSIS AND RESULTS
   5. DISCUSSION
   6. POTENTIAL CHALLENGES AND SUGGESTIONS
   7. CONCLUSION
   REFERENCES
Chapter 20: Innovative Marketing in Banking:
   ABSTRACT
   1. INTRODUCTION
   2. LITERATURE STUDY
   3. CASE STUDIES
   4. AI TECHNOLOGIES USED IN MARKETING
   5. ETHICAL CONSIDERATIONS
   6. CONCLUSION
   REFERENCES
Compilation of References
About the Contributors
Index