[ad_1]

Introduction

In the realm of marketing, the use of Artificial Intelligence (AI) has become increasingly popular in recent years, especially in the field of predictive analytics. AI-based predictive analytics involves using machine learning algorithms to analyze large amounts of data and predict future outcomes, allowing marketers to make more informed decisions and strategies. This thesis explores the application of AI-based predictive analytics in marketing and its impact on business performance.

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Overview of AI in Marketing
2.2 Predictive Analytics in Marketing
2.3 Applications of AI-Based Predictive Analytics in Marketing
2.4 Benefits of AI-Based Predictive Analytics in Marketing
2.5 Challenges of Implementing AI-Based Predictive Analytics in Marketing
2.6 Success Stories of AI-Based Predictive Analytics in Marketing
2.7 Ethical and Privacy Considerations in AI-Based Predictive Analytics
2.8 Future Trends in AI-Based Predictive Analytics
2.9 Comparison of AI-Based Predictive Analytics Tools
2.10 Summary of Literature Review

Chapter 3: System Design and Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Selection of AI Algorithms
3.5 Development of Predictive Model
3.6 Validation of Predictive Model
3.7 Evaluation Metrics
3.8 Ethical Considerations

Chapter 4: System Implementation
4.1 Data Preparation
4.2 Model Training
4.3 Model Testing
4.4 Performance Optimization
4.5 Integration with Marketing Platforms
4.6 User Training
4.7 Monitoring and Maintenance
4.8 Case Study Analysis

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Contribution to Knowledge
5.3 Implications for Marketing Practice
5.4 Recommendations for Future Research
5.5 Conclusion

Thesis Overview on AI-based Predictive Analytics for Marketing:

AI-based predictive analytics has revolutionized the way marketers approach decision-making and strategy development. By utilizing advanced machine learning algorithms to analyze large datasets, businesses can gain valuable insights into customer behavior and preferences, enabling them to tailor their marketing efforts for maximum impact. This thesis aims to explore the application of AI-based predictive analytics in marketing and its implications for business performance. The research will include a comprehensive literature review, system design and methodology, system implementation, and conclusion and summary of the project. Through this investigation, the thesis seeks to contribute to the growing body of knowledge on the use of AI in marketing and provide valuable insights for marketers looking to leverage predictive analytics for improved outcomes.

[ad_2]

---

Purchase Detail

Download the complete project materials to this project with Abstract, Chapters 1 – 5, References and Appendix (Questionaire, Charts, etc), Click Here to place an order via whatsapp. Got question or enquiry; Click here to chat us up via Whatsapp.
You can also call 08111770269 or +2348059541956 to place an order or use the whatsapp button below to chat us up.
Bank details are stated below.

Bank: UBA
Account No: 1021412898
Account Name: Starnet Innovations Limited

The Blazingprojects Mobile App

Download and install the Blazingprojects Mobile App from Google Play to enjoy over 50,000 project topics and materials from 73 departments, completely offline (no internet needed) with monthly update to topics, click here to install.