Overview
What this challenge is about.
Analyze ad performance, build a regression model, and create a dashboard to reduce CAC by 15% for a D2C cosmetics brand. Earn a verifiable certificate.
The scenario
Glow & Grow is a fast-growing D2C cosmetics startup based in Austin, Texas, selling vegan skincare products. They have a monthly marketing budget of $200,000 and are struggling with rising customer acquisition costs as they scale.
The Brief
What you'll do, and what you'll demonstrate.
How should Glow & Grow reallocate its advertising budget across channels to reduce customer acquisition costs while maintaining or increasing conversion volume?
Earning criteria — what you'll demonstrate
- Apply inferential statistics to interpret marketing data
- Build and interpret a multiple regression model for prediction
- Create effective data visualizations to communicate insights
- Translate analytical findings into actionable business recommendations
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.
- Data Analysis
Analyze real datasets, build models, and communicate findings that drive decisions.
- Regression
Apply regression to solve real industry problems and demonstrate production-level capability.
- Data Visualization
Transform complex data into clear, insightful visual representations.
- Decision Making
Apply decision making to solve real industry problems and demonstrate production-level capability.
- Statistical Software
Apply statistical software to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles: