Festival sale effect study

The brief

Every Diwali the marketing team claims its offer drove sales. Test it properly: compare spending across customer groups and products during the festival period, check whether differences are real, and design a proper A/B test for next year. Good looks like: correct tests, effects with confidence intervals, and a test plan with the sample size needed.

What you will build

1. Explore Diwali sales by customer group and product
2. Test differences with appropriate tests
3. Report effects with confidence intervals
4. Explain why this is not proof of cause
5. Design next year's A/B test and its sample size

Free, open data to build it with

• Diwali sales data ↗ Kaggle
• Marketing A/B testing ↗ Kaggle

Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.