Achieving Optimal Engagement: Leveraging Content Recommendation Algorithms to Increase Client Engagement
Program: Data Science Master's Degree
Location: Not Specified (remote)
Student: Enrique Alcoreza
Restore Hyper Wellness, a leading wellness studio, offers a range of transformative services including cryotherapy, compression therapy, and IV treatments. With a client base primarily consisting of health-conscious individuals committed to enhancing recovery and overall well-being, the franchise owners in El Paso are keenly aware of the diverse spectrum of customer engagement levels. Acknowledging that engagement directly correlates with revenue generation, this analysis’s objective is to comprehend and amplify client engagement. This study presents a comprehensive investigation into contextualizing client engagement and developing engagement strategies within the operational context of Restore El Paso. The study analyzes client behaviors to derive actionable insights aimed at enhancing engagement levels while concurrently ensuring the preservation of revenue streams. This is accomplished through the leveraging of sophisticated data science methodologies, specifically by developing a dynamic incentive algorithm, informed by content-based recommendation systems. The value of this approach is in that data-driven insights tailor promotional offerings to individual clients based on their proximity to an ideal engagement benchmark. The methodology and its output are communicated through a user-oriented Tableau suite of visuals that provide awareness and recommendations into increasing client engagement. This deliverable is engineered to empower stakeholders to make data informed decisions. Additionally, the paper outlines a prospective pilot study designed to validate the efficacy of the proposed dynamic incentive framework in driving tangible improvements in client engagement metrics. While acknowledging inherent limitations, including the evolving definition of the ideal client and the scope of available data, the study underscores the potential for ongoing refinement and future enhancements. In conclusion, this research contributes valuable insights and actionable recommendations to the field of client engagement optimization, offering a roadmap for Restore El Paso to harness data-driven approaches to foster sustainable business growth.