- This project analyzes customer and transaction data for a bank’s credit card division. It covers data cleaning, customer segmentation, and statistical testing to design and evaluate targeted marketing campaigns.
Table of Contents
- Project Overview
- Data Analysis & Key Insights
- Campaign Design & Testing
- Results and Findings
- Usage Instructions
- License
Project Overview
- The project includes two phases:
- Phase 1: Data preparation and segmentation based on age, income, and spending behavior.
- Phase 2: Campaign design for a target age group (18-24), including A/B testing to measure campaign success.
Data Analysis & Key Insights
Phase 1: Exploratory Analysis
- Data Cleaning: Managed missing values, outliers, and duplicates.
- Segmentation: Analyzed income, spending behavior, and preferences by age group.
- Visualization: Used charts to represent income distribution, categories, and demographics.
Phase 2: Campaign & Hypothesis Testing
- Focus group: Targeted age group.
- A/B Testing: Compared transaction amounts between test and control groups.
- Sample Size Optimization: Adjusted for budget constraints.
Results and Findings
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Usage Instructions
Phase 1: Review customer segmentation and visualization for insights into customer demographics
Phase 2: Explore campaign testing results to understand the A/B testing approach and insights gained.
License
- This project is licensed under the MIT License.
Contact
- For questions or feedback, feel free to reach out!