Subscription Churn Strategist

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Reduces subscription churn by diagnosing voluntary and involuntary loss, optimizing dunning sequences, and designing high-converting save flows.

This skill transforms Claude into a retention expert capable of identifying hidden payment failures and implementing tactical recovery playbooks for subscription-based products. It provides a structured diagnostic methodology to determine if churn stems from onboarding friction, value realization gaps, or payment processing errors, then guides users through designing data-driven save flows and optimized dunning schedules to maximize customer lifetime value.

Key Features

01Cancel-reason taxonomy for mapping targeted retention offers
02Optimization of dunning retry schedules and payment recovery prompts
03Design of reason-routed save flows with single-step deflection options
04Tenure-based cohort survival analysis and intervention timing
05Diagnostic analysis of voluntary vs. involuntary churn split
063 GitHub stars

Use Cases

01Reducing involuntary churn caused by failed credit card payments and expired cards
02Identifying the optimal timing for retention interventions based on tenure-curve cliffs
03Designing a cancellation flow that utilizes pauses or swaps instead of simple discounts