Skip to content
Universities of Wisconsin
Call Now608-262-2011 Call 608-262-2011 Request Info Request Info Search the UW Extended Campus website Search
Wisconsin Online Collaboratives
  • About Us
    • About Us
    • Accreditation
    • Our Campus Partners
  • Degrees & Programs
  • Admissions & Aid
    • How to Apply
    • Admission Pathways
    • Important Dates
    • Tuition & Financial Aid
    • Transferring Credits
    • Contact an Enrollment Adviser
  • Online Learning
    • About Online Learning
    • Online Learning Formats
    • Capstone Projects
    • Success Coaching
    • Technology Requirements
  • Stories & News
Home Home / Capstone Projects / Achieving Optimal Engagement: Leveraging Content Recommendation Algorithms to Increase Client Engagement

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.

Let's Get Started Together

Apply Apply Schedule an Advising Call Schedule an Advising Call Request Info Request Info

This field is for validation purposes and should be left unchanged.
Are you interested in pursuing the degree or taking one or two courses?(Required)
Can we text you?(Required)

By selecting yes, I agree to receive updates about online degrees, events, and application deadlines from the Universities of Wisconsin.

Msg frequency varies depending on the activity of your record. Message and data rates may apply. Text HELP for help. You can opt out by responding STOP at any time. View our Terms and Conditions and Privacy Policy for more details.

Wisconsin Online Collaboratives will not share your personal information. Privacy Policy

Wisconsin Online Collaboratives

A Collaboration of the
Universities of Wisconsin

University of Wisconsin System

Pages

  • Our Degrees & Programs
  • How to Apply
  • Online Learning Formats
  • Our Campus Partners

Enrollment Advising

608-800-6762
learn@uwex.wisconsin.edu

Contact

780 Regent Street
Suite 130
Madison, WI 53715

Technical Support

1-877-724-7883
https://uwex.wisconsin.edu/technical-support/

Connect

  • . $name .facebook
  • . $name .linkedin
  • . $name .instagram
  • . $name .youtube

Copyright © 2026 Board of Regents of the University of Wisconsin System. | Privacy Policy