Online Shopper Conversion Analysis

Overview

Exploratory data analysis of e-commerce user behavior to understand what drives purchase decisions. Uses SQL to examine bounce rates, browse patterns, visitor segments, traffic sources, seasonal trends. Identifies high-intent visitors with Python predictive model. Aimed to improve conversion and inform marketing strategy through actionable insights Open-source project by Laela Baugh, published on GitHub.

Highlights

• Primary language: Python
• Open source — view the code and contribute on GitHub

Built with

• Python