Amazon Prime Analysis

Business Analytics Project

The Amazon Prime Analysis project focuses on analyzing streaming and subscription data from Amazon Prime to uncover user behavior, popular content, and subscription trends. Using Power BI, the project transforms raw data into interactive dashboards, enabling businesses to track KPIs such as viewer engagement, subscription growth, content performance, and user retention.

Amazon Prime Dashboard

Project Highlights

  • Subscription Trends

    Analyzed daily, weekly, and monthly subscription patterns to identify growth trends and churn risks.

  • User Engagement

    Tracked user activity including watch time, content completion, and peak viewing hours to improve engagement strategies.

  • Content Performance

    Identified top-watched movies, TV shows, and genres to guide content acquisition and recommendations.

  • Regional Analysis

    Evaluated viewership and subscription patterns across regions to optimize marketing campaigns and regional content strategies.

  • KPI Dashboards

    Developed dashboards to visualize key metrics such as subscriber growth, retention rates, and content engagement for business decision-making.

About the Project

Amazon Prime Dashboard Overview

Overview

This Amazon Prime Analysis project demonstrates how Power BI can convert raw streaming and subscription data into meaningful insights. It helps businesses track subscriber growth, engagement trends, and content performance in real-time.

Key Insights

  • 🎬 Most-watched content and top genres
  • 📊 Subscription trends over time and peak viewing hours
  • 🌍 Regional viewership and engagement analysis
  • 👥 User segmentation based on watch patterns and subscription plans
  • 💡 Churn risk analysis and retention strategies

These dashboards empower marketing, content, and strategy teams to make data-driven decisions to enhance subscriber engagement and retention.

Amazon Prime Insights
Advanced Power BI Features

Outcomes

  • Interactive dashboards for content and subscription analysis
  • Improved understanding of user behavior and content preferences
  • Optimized marketing, content acquisition, and retention strategies

By the end, the project showcased how data analytics can boost subscriber engagement, retention, and overall platform performance.

When:
2024

Mode:
Power BI Dashboard

Dataset:
Amazon Prime Data

Focus:
Business Analytics

Project Snapshots

Business Impact

📈 Helped Amazon Prime identify popular content and peak viewing hours for optimized content scheduling.

💡 Improved subscriber engagement and retention through data-driven recommendations.

💰 Enhanced subscription growth and platform revenue by analyzing trends and churn risks.

Challenges & Learnings

⚡ Integrating multiple datasets including subscriptions, viewing history, and user demographics.

📊 Designing dashboards to balance clarity, interactivity, and performance for large streaming datasets.

🚀 Learned the importance of user segmentation, churn analysis, and KPI-driven dashboards for subscription platforms.

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