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 / Profitable Time to Contact a Collectibles Consumer

Profitable Time to Contact a Collectibles Consumer

Program: Data Science Master's Degree
Host Company: Asset Marketing Services, LLC
Location: Eagan, Minnesota (onsite)
Student: Talia Barber-Powers

The author worked with a client that markets coin and bullion products.  The customers in the numismatic industry are coin collectors and investors.  The typical customer who purchases from a big retailer or goes to the grocery store has a different motivation for purchasing a product than a numismatic customer purchasing a high-end collectible.  Their shopping behaviors and engagement levels differ from those of retail customers.  These collectors inherited their grandparents’ collection and could retell the historical or intrinsic significance of each coin in their collection.  Others see precious metals as an additional investment opportunity only.   

Most importantly, coin collectors enjoy being in a community.  Whether they are sharing the history of their collections, trading coins online, or asking a sales representative about a newfound hoard, they enjoy speaking about their passion: coins.  The author believes that understanding the customer’s calling behavior and how it affects retail sales will help improve outbound marketing and customer engagement strategies and enable the client to foster this collecting community.  The author analyzed a sample of call and sales data, clustered customers by their calling behavior, and trained multiple machine learning models to address the following objectives: 

  • Segment the customers by their preferred length of conversation on the phone. 
  • Segment customers by their preferred interval of calls (e.g., monthly). 
  • Identify the customer’s preferred day of the week and time of day to receive a call. 
  • Identify when to call a customer that leads to a sale. 

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