🌍 IP Insights: Geographic & Marketing Intelligence Tool


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Overview

I built an interactive web application that takes raw IP address data and turns it into geographic and behavioral insights. Using Streamlit and IPstack API, the tool helps marketing teams and analysts better understand where their users are coming from and how they engage with different regions.

🔧 My Contributions

  • Developed a Streamlit dashboard for real-time geographic analysis.
  • Integrated the IPstack API to fetch geolocation data from IP addresses.
  • Processed and analyzed location-based data using Pandas.
  • Built interactive visualizations with Plotly to map user distribution and engagement.
  • Optimized API requests to reduce response times and improve efficiency.

🚀 Use Cases

📍 Geographic Market Analysis

  • Identified customer concentration across regions.
  • Highlighted expansion opportunities for businesses.
  • Mapped customer engagement trends by location.

👤 Customer Behavior Analysis

  • Tracked how users move through different pages.
  • Analyzed regional differences in engagement.
  • Identified high-value locations for targeted marketing.

🎯 Marketing Campaign Optimization

  • Helped target ads and campaigns based on location.
  • Optimized content delivery strategies for different regions.
  • Provided insights into which locations convert best.

📊 Business Intelligence

  • Helped teams make data-driven expansion decisions.
  • Identified potential new target markets.
  • Monitored geographic distribution of users over time.

🔥 Features

✅ Interactive Maps – See where users are located.
✅ Business Intelligence Dashboard – Track key geographic trends.
✅ Page Analytics – Understand user behavior by region.
✅ Raw Data Explorer – View and export detailed data.

🛠️ Tech Stack

  • Python 🐍
  • Streamlit ⚡
  • IPstack API 🌍
  • Pandas 📊
  • Plotly 📈

💡 Takeaways

This project gave me hands-on experience with building interactive data tools, working with APIs, and visualizing geographic insights. I also learned how to optimize API calls for better performance and make location-based data more useful for marketing teams.