Gender-Based Customer Analysis with Python

Exploring Customer Behavior in E-commerce: A Data-Driven Approach

Last week, I dedicated my free time to an intriguing project where I delved into the behavior of e-commerce customers. Leveraging Python, I conducted a comprehensive analysis, the details of which you can explore on my Kaggle project page: Customer Behaviors Analysis.

Role and Methodology

In this project, I assumed the role of a Junior Data Analyst tasked with investigating how customer behaviors varied by gender. One of the highlights of my work was developing three Python functions that significantly automated the analysis process. These functions, while simple, proved essential in streamlining my workflow and are designed for easy adaptation in future projects. Feel free to explore these functions in the project notebook – they might be useful for your analyses too, and your feedback or an upvote would be greatly appreciated!

Key Findings The analysis led to some intriguing discoveries. For instance, the age distribution across genders revealed that younger customers are predominantly male, while older customers are mostly female. This insight prompted a recommendation to my hypothetical superiors to reconsider our marketing strategies to ensure they effectively target both genders.

Surprising Patterns

Additionally, an unexpected pattern emerged in the distribution of customers by city. Each city predominantly showed a single gender demographic – with exceptions like Miami and New York. This finding raised concerns about the potential biases in our data collection processes. I suggested a review and possibly a restructured approach to data gathering to achieve a more balanced gender representation across cities. Such data integrity is crucial for valid analysis and making informed business decisions.

If the anomalies detected in city-based gender were real and not an error, the distribution might indicate underlying inefficiencies in our marketing or advertising strategies, warranting further investigation.

For more details on these and other findings from my analysis, I invite you to read the complete study here.

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