Redesign GlowCycle's Subscription Pricing to Cut Skincare Churn
Overview
What this challenge is about.
Redesign GlowCycle's Subscription Pricing to Cut Skincare Churn. Intermediate challenge in analysis. Analyzing real datasets and building models that drive d...
The Brief
What you'll do, and what you'll demonstrate.
Design a segment-aware tiered subscription pricing structure for GlowCycle that reduces monthly cancellations and increases customer lifetime value without breaching the company's cost, margin, and price-increase constraints.
This is not a data exercise. It is the work an analyst does when stakeholders need answers from messy data. That distinction matters to every hiring manager who has seen candidates describe statistical methods and none who have extracted insight from messy, real-world data.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Clean and prepare real-world subscription transaction data for analysis
- Segment customers by behavior and link each segment to price sensitivity and cancellation risk
- Build and validate a churn-probability model and interpret its drivers for a non-technical audience
- Translate analytical findings into a constraint-respecting pricing recommendation with quantified business impact
- Communicate a data-backed strategy persuasively to startup founders
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Customer Segmentation
Apply customer segmentation to solve real industry problems and demonstrate production-level capability.
- Predictive Modeling
Apply predictive modeling to solve real industry problems and demonstrate production-level capability.
- Prescriptive Analytics
Apply prescriptive analytics to solve real industry problems and demonstrate production-level capability.
- Optimization
Apply optimization to solve real industry problems and demonstrate production-level capability.
- Data Visualization
Transform complex data into clear, insightful visual representations.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
Business Analyst
This challenge mirrors a core analyst brief: turn messy transaction data into a defensible business recommendation. You practice segmenting customers, modeling risk, and presenting a numbers-backed strategy that leaders can act on.
This challenge sharpens
- customer-segmentation
- predictive-modeling
- data-visualization
Pricing Analyst
Pricing analysts design tiers that balance retention and margin under real constraints. Here you build exactly that, optimizing subscription prices against cost floors and margin targets while projecting the impact on lifetime value.
This challenge sharpens
- prescriptive-analytics
- optimization
- customer-segmentation
Customer Insights Analyst
Insights analysts explain why customers behave as they do and what to do about it. This challenge develops your ability to find behavioral segments, predict churn, and communicate the story clearly to decision-makers.
This challenge sharpens
- customer-segmentation
- predictive-modeling
- data-visualization