Welcome to the Credit Card Data Analysis Project, where we’ll dive into a real-world marketing dataset and uncover powerful business insights. This project is based on a 2019 credit card marketing campaign that specifically targeted millennial customers.
In today’s data-driven world, understanding customer behavior is key to building successful marketing strategies. In this project, we use a real dataset to explore how credit card customers spend, how profitable they are, and how companies can retain them effectively.
We’ll analyze data to:
Identify high-value customer segments to focus on.
Measure profitability and assess credit risk of each segment.
Help the marketing and sales teams improve their strategies using data insights.
This isn’t just about numbers — it’s about using data to make smarter decisions, spend marketing budgets wisely, and develop retention strategies that actually work!
Customer segmentation based on spending, income, and credit usage.
Evaluation of Customer Lifetime Value (CLV) and churn rate.
Strategic insights into how to retain customers and increase ROI.
We’ll use a publicly available dataset from Kaggle, which you can access here:
Click Here - Credit Card Dataset on Kaggle
By the end of this project, you’ll have a strong understanding of how data analysts help businesses understand their customers and make better marketing decisions.
Ready to dive in? Let’s start with understanding the dataset!
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