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churn-analysis

Analyzes Stripe subscription churn — cancellations, ended subs, voluntary vs involuntary signals, and period-over-period trends. Use when the user mentions "churn", "cancellations", "subs leaving", "retention", or "why are we losing subscribers". Pair with past-due-dunning for payment-driven churn.

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Repository
appeeky/stripe-skills
Letzte Quellaktivität
19. Juli 2026 um 10:10
Erkannte Sprache von SKILL.md
Englisch
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5
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1

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
churn-analysis
description
Analyzes Stripe subscription churn — cancellations, ended subs, voluntary vs involuntary signals, and period-over-period trends. Use when the user mentions "churn", "cancellations", "subs leaving", "retention", or "why are we losing subscribers". Pair with past-due-dunning for payment-driven churn.
metadata
{"version":"1.0.0"}
# Churn Analysis ## Stripe MCP Setup Requires **Stripe MCP** connected via OAuth or restricted key. Docs: https://docs.stripe.com/mcp 1. `GetMcpTools` with `server: "user-Stripe"` (or `plugin-stripe-stripe`) before any call 2. Prefer `stripe_api_search` → `stripe_api_details` → `stripe_api_read` for list/retrieve 3. **Always paginate** — `limit: 100`, follow `has_more` with `starting_after` 4. Amounts are in **cents** unless noted 5. Never expose secret keys in output ## Workflow 1. **Snapshot** active + past_due counts (today) via `GetSubscriptions` 2. **Canceled in period** — list subscriptions with `status: canceled` created or canceled in window - Use `search_stripe_resources`: `subscriptions:status:"canceled"` (note 100 cap — supplement with API list + filter) 3. **Classify churn** | Type | Signal | |------|--------| | Voluntary | `cancellation_details.reason`, user canceled, feedback | | Involuntary | Was `past_due` → `canceled`, `invoice.payment_failed` | | Payment method | Debit/prepaid + failed charges | 4. Retrieve sample canceled subs: `GetSubscriptionsSubscriptionExposedId` with expand `cancellation_details` ## Churn Rate (approximate) ``` Monthly churn % ≈ canceled_in_30d / (active_start + new_in_30d) × 100 ``` Benchmark: < 5% monthly good for SMB SaaS; < 2% excellent. ## Output Template ``` Churn Report ([period]) Canceled: [N] Est. monthly churn: [X]% Voluntary: [N] | Involuntary: [N] Top cancel reasons (from cancellation_details): 1. [reason] — [n] Recommendations: 1. [action] → skill: [name] ``` Cross-check `payment-failure-audit` if involuntary > 40% of churn.
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