Buyer Lifetime Worth (CLV) is a vital metric in knowledge science that helps companies optimize buyer acquisition, retention, and advertising spend. Corporations depend on CLV to find out which clients are most precious and tips on how to allocate sources effectively.
For those who’re getting ready for an information science interview, count on CLV case research to be a preferred subject. These case research take a look at your means to:
- Outline CLV and its enterprise affect
- Select the correct CLV modeling method
- Deal with knowledge challenges akin to churn, seasonality, and sparse buy historical past
- Steadiness accuracy with interpretability for enterprise stakeholders
This submit builds on the framework for fixing ML case research that I launched in my earlier weblog: How you can Resolve Machine Studying Case Research: A Framework for Knowledge Science Interviews
Now, let’s apply that structured method to CLV case research.
Earlier than leaping into options, make clear the issue:
- What’s the enterprise objective? (e.g., improve income, optimize advertising spend…
