ADS Capstone Chronicles Revised

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This can also include longitudinal studies on consumer behavior to track changes over time to provide an understanding of how preferences may evolve. Routinely conducting A/B testing and other experimentation methods to evaluate the effectiveness of different projects. This technique allows for data-driven decision-making, ensuring that changes are based on empirical evidence rather than intuition. Additionally, these experiments can be conducted on a smaller scale before a full rollout, minimizing risk and ensuring that the most effective tactics are confidently deployed. By continuously optimizing customer engagement strategies through A/B testing, businesses can refine their approaches, adapt to changing consumer preferences, and ultimately enhance the overall customer experience.

ACKNOWLEDGMENTS Team 4 would like to express their sincere gratitude and thank the Applied Data Science Master’s Program at the Shiley Marcos School of Engineering, University of San Diego, for providing the education framework and resources that made this research possible. We extend our appreciation to the faculty, staff and our colleagues for their invaluable and constructive feedback and insightful discussions. These greatly enhanced the quality of this research. We acknowledge the contribution, collaboration and academic advice from our Professor, whose expertise and guidance was instrumental in shaping the direction of this study. Finally, we are grateful to our families and friends for their encouragement and understanding throughout this course.

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