This project explores the demographic and behavioral patterns of Netflix users, calculating key performance metrics such as Customer Lifetime Value (CLV). The analysis derives actionable insights from factors like age, geographic location, device preferences, and subscription plans.

The dataset should include the following key columns:

User ID: A unique identifier for each customer.

Subscription Type: The category of subscription (e.g., Basic, Extended, Premium).

Monthly Revenue: The monthly income generated from each user.

Number of users per country, with data visualized using graphs and tables.

Focus on the top five countries for viewership and revenue generation.

Targeted marketing should focus on regions with the highest customer lifetime value (e.g., United States and Spain) for promoting premium content.

Specialized marketing campaigns in France are recommended, as users there show a higher average lifetime value.

Future analysis will assess customer acquisition costs across various regions, comparing markets like France and the U.S. to identify cost-efficient acquisition strategies.

Data is visualized in charts and tables to highlight trends and insights.

The insights derived will help shape marketing efforts to maximize revenue and improve customer acquisition strategies.