Objective:

• Analyze sports user retention trends to understand engagement, spending behavior, and churn patterns.

• Identify key factors influencing retention, including entry amounts, Customer Lifetime Value (CLV), and seasonality effects.

• Determine optimal intervention points for user engagement based on recency and amount played.

• Provide data-driven recommendations to improve user retention and maximize CLV.

My Role:

• Dashboard Development & Data Analysis: Designed and built the Sports User Retention Dashboard in Tableau, integrating multiple datasets to analyze user engagement, retention trends, and CLV distribution.

• Insights & Strategy: Translated data findings into actionable business recommendations, focusing on optimizing user retention and re-engagement strategies

Methodology:

• Data Analysis & Visualization: Extracted, cleaned, and analyzed user engagement and retention data, then visualized key trends in Tableau for deeper insights.

• Insight-Driven Strategy: Identified patterns in entry behavior, CLV distribution, and seasonality to develop targeted retention and re-engagement recommendations.