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🛒 E-Commerce Customer Purchase Prediction

Predict customer purchase intent in an e-commerce environment using session and behavioral data. 🎯

📌 Project Overview

This project focuses on predicting whether a website visitor will make a purchase during an online shopping session.

By identifying visitors with high purchase intent, businesses can optimize targeting, personalization, and retargeting strategies, ultimately boosting revenue and conversion rates. 💰

Target: REVENUE (Categorical)

  • 🟢 Buy
  • 🔴 Not Buy

Business Impact:

  • 🎯 Improved marketing targeting
  • ✨ Personalized user experience
  • 📈 Higher conversion rates and sales

📂 Dataset

We use the Online Shoppers Purchasing Intention Dataset, which contains detailed information about visitor sessions.

Features include:

  • 📝 Pages visited
  • ⏱️ Session duration
  • 💳 Cart value
  • 📱 Device type
  • 🌐 Traffic source
  • 🛍️ Past purchases

Sources:

🔑 Features

  • Administrative, Informational, ProductRelated pages viewed
  • Administrative_Duration, Informational_Duration, ProductRelated_Duration
  • BounceRates, ExitRates, PageValues
  • SpecialDay (seasonal promotions) 🎉
  • Month of the visit 📆
  • OperatingSystems, Browser, Region, TrafficType 🖥️
  • VisitorType (New/Returning) 👤
  • Weekend indicator 🛌

⚙️ Methodology

  1. Data Preprocessing 🧹

    • Handle missing values
    • Encode categorical features
    • Normalize numerical features

  2. Exploratory Data Analysis (EDA) 🔍

    • Analyze session patterns
    • Identify trends and correlations with purchase behavior

  3. Modeling 🤖

    • Classification models
    • Model evaluation with accuracy, precision, recall, F1-score

  4. Deployment 🚀

    • Predict purchase intent in real-time for live sessions
    • Integrate predictions with personalization and marketing tools

🎯 Goals

  • Identify sessions with high likelihood of purchase 🛍️
  • Optimize marketing spend and retargeting campaigns 💸
  • Increase conversion rate and customer satisfaction 😃

📜 License

This project uses publicly available datasets.