Database Customer Predictor
Select existing database subscribers to simulate behavioral overrides and predict churn risk
Select Database Subscriber
Search and pick a customer from the database test partition to load their active fields.
Critical & High Priority Inputs
Reset ValuesThese parameters have the largest mathematical influence on predictions. Adjusting these will yield the largest shifts in churn risk.
The single largest predictor of customer loyalty; churn drops exponentially as tenure grows.
Average session duration in minutes. Longer sessions correlate with deep content attachment.
Weekly hours. Low engagement levels represent a major cancellation risk warning.
Offline downloads indicate a committed watchlist use and high content consumption.
Higher price points raise customer billing sensitivity and drop loyalty.
Premium subscription packages show statistically lower churn.
Filing multiple complaints indicates active product bugs and user friction.
Manual checks increase monthly payment failures and cancellation triggers.
Medium Priority Inputs
Secondary behavioral preferences that contribute to the customer's risk profile.
Users who utilize subtitles display slightly higher retention rates.
Accounts with parental controls enabled have a slightly lower churn risk.
Lower Priority Inputs
Variables that have a minimal or marginal effect on predictions, but help polish model precision.