churn-prevention

Design cancellation flows with exit surveys and save offers for SaaS subscriptions.

Updated Mar 29, 2025
One-click install
npx skills add https://github.com/ketzal88/gym-counter --skill churn-prevention-ketzal88
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: churn-prevention
Source: https://github.com/ketzal88/gym-counter/tree/main/.agents/skills/churn-prevention
Command: npx skills add https://github.com/ketzal88/gym-counter --skill churn-prevention-ketzal88

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps reduce churn by designing and executing cancellation flows, saving offers, and retention strategies across voluntary and involuntary churn.

Core Features & Use Cases

  • Build robust cancel flows with exit surveys to capture churn reasons and map them to tailored save offers.
  • Implement proactive retention tactics (pre-dunning, health scoring, segmentation) and post-cancel win-back sequences.
  • Analyze cancel data to optimize offers, timing, and messaging across monthly vs annual plans.

Quick Start

Configure a basic cancel flow with a single exit survey question and one save offer to test retention.

Frequently Asked Questions about churn-prevention

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a SaaS cancel flow with exit surveys and save offers?

Build a SaaS cancel flow by configuring an exit survey to capture churn reasons and mapping those reasons to tailored save offers. You can start with a single survey question and one offer to quickly test retention strategies.

Can I use segmentation and health scoring for proactive customer retention?

Apply segmentation and health scoring to identify at-risk users before they cancel. This enables proactive retention tactics like targeted messaging and dynamic save offers based on user behavior.

How do I set up win-back campaigns for canceled SaaS subscribers?

Set up win-back campaigns by configuring post-cancel sequencing that targets users after they leave. Analyze cancel data from exit surveys to optimize the timing and messaging of these win-back flows.

Does this approach support different retention strategies for monthly vs annual plans?

Optimize retention across monthly vs annual plans by analyzing cancel data to adjust offer timing and messaging. The framework supports dynamic save offers and dunning tailored to different subscription billing cycles.