Identifies which customers are most likely to churn based on usage patterns, engagement signals, and payment behaviour. Scores each customer with a churn risk rating. Helps customer success teams prioritise who to call before it's too late.
# Churn Prediction Model ## Risk signals analysed - Login frequency decline - Feature usage drop - Support ticket volume - Payment failures - NPS score - Contract renewal date proximity ## Output - Customer churn risk score (1-10) - Risk tier (High/Medium/Low) - Key warning signals per customer - Recommended intervention per tier ## Inputs needed - Customer list with usage data - Login frequency and last login - Support history - Payment history ## Platform: Claude
The owner wants: