churn-prevention

Solid

SaaS churn reduction covering cancel flow design, dynamic save offers, exit survey architecture, dunning sequences, payment recovery, win-back campaigns, and churn impact modeling.

AI & Automation 413 stars 81 forks Updated 5 days ago NOASSERTION

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Quality Score: 83/100

Stars 20%
87
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Churn Prevention Production-grade SaaS churn reduction framework covering cancel flow architecture, dynamic save offer mapping, exit survey design, dunning sequence engineering, payment recovery optimization, win-back campaigns, and churn impact modeling. Addresses both voluntary churn (customers who decide to leave) and involuntary churn (customers who leave due to payment failure). --- ## Table of Contents - [Initial Assessment](#initial-assessment) - [Churn Taxonomy](#churn-taxonomy) - [Cancel Flow Architecture](#cancel-flow-architecture) - [Exit Survey Design](#exit-survey-design) - [Dynamic Save Offer System](#dynamic-save-offer-system) - [Dunning Sequence Engineering](#dunning-sequence-engineering) - [Win-Back Campaign Framework](#win-back-campaign-framework) - [Churn Health Scoring](#churn-health-scoring) - [Metrics and Benchmarks](#metrics-and-benchmarks) - [Churn Impact Calculator](#churn-impact-calculator) - [Output Artifacts](#output-artifacts) - [Related Skills](#related-skills) --- ## Clarify First Before designing the churn-prevention system, confirm these inputs. If any is unknown or vague, ASK — do not assume: - [ ] **Voluntary vs involuntary churn split** — which dominates (determines whether to build cancel flow/save offers or dunning/payment recovery) - [ ] **Existing cancel flow vs instant/support cancellation** — sets build-from-scratch vs optimize mode - [ ] **Current MRR + ARPU + billing cycle** — sizes the dollar impact and the save-offer bud...

Details

Author
borghei
Repository
borghei/Claude-Skills
Created
6 months ago
Last Updated
5 days ago
Language
HTML
License
NOASSERTION

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