Project information
- Title: Identify and retain customers highly probable to Churn
- Worked At: Purdue University
- Project Timeframe: Fall 2023
- Video Explanation: YouTube Video
- Text Explanation: Medium Article
- Python Codes: 1. Exploratory Data Analysis
2. Visualizations
3. Data Preperation, Modelling and Predictions
We leverage advanced analytics techniques to pinpoint properties registered with Airbnb that might potentially leave the platform in the upcoming quarter. This strategic approach enables the organization to identify specific properties, allowing for the creation of targeted retention marketing strategies. This ensures optimized resource allocation by avoiding broad, indiscriminate spending on all properties.