(This work is originally a mock data challenge completed as part of the 2020A Boston Insight Data Science Fellows Program. This work was finished within 4 hours limit. )
The goal of this project is to generate insights from an A/B testing running on the site for a software product. The responses of these customers, as well as those of a control group shown the normal software price, were recorded along with some other information over a period of three months.
- What is the impact on conversion rate due to increasing the price of the software?
- What is the impact on revenue due to increasing the price of the software?
- Can A/B testing be made more efficient in the future? Could we have stopped collecting data earlier being able to get statistically significant results?
- Load Datasets
- Data Processing and Cleaning
- EDA
- Testing differences between control group and test group
- Conclusion and key insights