Customer Churn Propensity Analysis
An interactive churn analysis that reveals which contract, tenure, and payment segments carry the highest retention risk.
Status:Analysis uses a synthesized subscriber dataset
- Services
- Data Analytics
- Stack
- Python, Power BI, Power Query, Exploratory Data Analysis
Outcomes
The results
6,000+
Synthesized subscriber records
01
Our solution
Python EDA and Power Query prepared more than 6,000 synthesized subscriber records, while Power BI provided interactive segmentation by contract, tenure, and payment method.
02
The outcome
Turns subscriber behavior into clear retention priorities and gives teams an evidence base for targeted offers and customer outreach.
03
Best for
SaaS, telecom, subscription businesses, retention strategy, and churn analytics.
Technology
The stack behind it
- Python
- Power BI
- Power Query
- Exploratory Data Analysis