E-commerce Customer Analytics – Understanding Customer Behavior & Retention Strategies

[Egbe34]

👋 Introduction

Hello everyone! I’m Grace Egbe, a passionate Data Analyst with expertise in Python, SQL, Tableau, and Machine Learning.

I recently completed an E-commerce Customer Analytics Project that explores customer behavior, sales trends, and retention strategies using Python & Tableau. I’d love to get feedback, suggestions, and collaboration opportunities from the community! 🚀

🔗 GitHub Repository: E-commerce Customer Analytics

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📊 Project Overview

Objective:

Understanding customer behavior and key factors affecting sales and retention in an e-commerce business.

Tech Stack:

✔️ Python – Data Cleaning & Analysis
✔️ SQL – Querying & Data Exploration
✔️ Tableau – Interactive Dashboards & Insights
✔️ Pandas & Matplotlib – Data Visualization

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🔥 Key Insights from the Project

📊 Customer Retention Analysis
✔️ Returning customers contribute over 60% of total revenue.
✔️ Personalized marketing strategies increase repeat purchases.

📉 Sales Trends & Seasonal Analysis
✔️ Peak sales occur during holiday seasons.
✔️ Discounts and promotions drive higher engagement.

🛒 Customer Segmentation
✔️ High-value customers prefer specific product categories.
✔️ Analyzing spending behavior helps in targeted promotions.

🔗 View the Project on GitHub: E-commerce Customer Analytics

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📢 Looking for Feedback & Suggestions!

I’d love to hear your thoughts on:
✅ How can I improve my data analysis & visualization approach?
✅ Are there additional insights that would make the project more valuable?
✅ Any recommendations for further analysis or feature improvements?

Let’s connect and learn from each other! 😊

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📡 Connect With Me

📊 Portfolio: https://egbe34.github.io/portfolio/
📊 Kaggle: https://www.kaggle.com/graceegbe12
💼 LinkedIn: (https://www.linkedin.com/in/grace-egbe-77820b278/)
📧 Email: (graceegbe3@gmail.com)

I appreciate any feedback and suggestions! Thanks in advance! 🚀🔥

[Charlesnorris509]

Hey @Egbe34, first of all I want to let you know that the rendering on your personal portfolio website, is having some issues and it's only presenting the HTML contents without any styling. I would also recommend embedding links to your markdown file instead of just posting them as text. Now to go back to your project, it seems like your asking for system design reviews, so I'll get started responding on that. I would start by defining the data that you intend to analyze and see which Database system is best for it SQL, NoSql, etc... Now when it comes to data visualization, I would use seaborn alongside Matplotlib for enhancements. Finally focus on the Data Transfer and Architecture design, to do that You'll need to know some specific about security, and average data transfer for scalability evaluation.

I hope my response has been useful and if it did make sure to mark this discussion as 'Answered'

[Egbe34]

Oh thanks so much for the update , I will definitely make this right, to update on the data transfer and Architecture, thanks, I just learned something from you