What problem does it solve?
Small and medium businesses in Vietnam lose customers without knowing why, and lack a systematic way to detect churn risk early, intervene before customers leave, and win back those who already left.
Core Features & Use Cases
- Business-model branching: Defines what "lost customer" means for one-time purchases, multi-session packages, memberships, and subscriptions, with repurchase-cycle benchmarks.
- Churn signal detection: Provides a signal table measurable with data SMEs actually have (appointments, Zalo OA messages, orders, reviews), each mapped to a timed intervention with owner and channel.
- Exit survey and reason-to-offer mapping: Designs a 5-8 option exit survey and maps each stated reason to a primary offer, fallback offer, and forbidden actions.
- Win-back sequences: Runs a 4-touch win-back flow across email and Zalo OA with frequency caps and honesty rules for measuring retention, save, and win-back rates.
- Use Case: A spa owner notices customers abandoning multi-session treatment packages; use this Skill to define the churn signal (missed appointments), set a 24-hour call intervention, and build a reason-matched win-back sequence.
Quick Start
Use this skill to build a customer retention system for my spa business where customers keep abandoning their treatment packages midway.
