Analysis
Customer-Segmentation Study for a DTC Subscription Box
FreeVerified credential3 weeksIntermediate
Overview
What this challenge is about.
Cluster 18 months of subscription data with k-means and HDBSCAN, then validate 4–6 segments. Deliver a notebook and playbook to earn your verifiable certificate.
CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced
The Brief
What you'll do, and what you'll demonstrate.
Find 4-6 behaviorally coherent customer segments via unsupervised learning and produce a playbook with actions per segment.
Earning criteria — what you'll demonstrate
- Apply k-means and HDBSCAN to real behavioral data with proper feature engineering
- Validate cluster quality with statistical + qualitative checks
- Translate unsupervised-learning outputs into marketing-actionable segments
- Communicate ML findings to non-technical CMO audiences
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
Career paths this builds toward
Canonical rolesProduct Manager
Product managers who can read segmentation studies design lifecycle features that resonate per-segment instead of one-size-fits-all.
This challenge sharpens
- business-analytics
- ml-applications
- model-evaluation