Best for
- Use when diagnosing subscriber loss or designing a bounded retention intervention.
JasonColapietro/suede-creator-skills/skills/suede-churn-prevention/SKILL.md
Suede-owned retention discipline for voluntary and involuntary churn: cancel flows, pause paths, evidence-based save offers, failed-payment recovery, proactive signals, and win-back design. Use when diagnosing subscriber loss or designing a bounded retention intervention. NOT FOR: lifecycle-email production (use suede-emails), pricing architecture (use suede-pricing), paywall design (use suede-paywalls), or event instrumentation (use suede-analytics).
Decision brief
Use this Suede retention playbook to reduce voluntary and involuntary churn through transparent cancel flows, bounded save offers, proactive signals, and payment recovery.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/JasonColapietro/suede-creator-skills --skill "skills/suede-churn-prevention"Inspect the Agent Skill "suede-churn-prevention" from https://github.com/JasonColapietro/suede-creator-skills/blob/9079a7a31bdcb242ff44409cbe6e53ca34502982/skills/suede-churn-prevention/SKILL.md at commit 9079a7a31bdcb242ff44409cbe6e53ca34502982. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Do you track feature usage per user?
Route message writing to suede-emails.
Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already c…
What's your monthly churn rate? (Voluntary vs. involuntary if known)
What billing provider? (Stripe, Chargebee, Paddle, Recurly, Braintree)
Permission review
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 97/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 152 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Use this Suede retention playbook to reduce voluntary and involuntary churn through transparent cancel flows, bounded save offers, proactive signals, and payment recovery.
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
Churn has two types requiring different strategies:
| Type | Cause | Solution |
|---|---|---|
| Voluntary | Customer chooses to cancel | Cancel flows, save offers, exit surveys |
| Involuntary | Payment fails | Dunning emails, smart retries, card updaters |
Voluntary churn is typically 50-70% of total churn. Involuntary churn is 30-50% but is often easier to fix.
This skill supports three modes:
Every cancel flow follows this sequence:
Trigger → Survey → Dynamic Offer → Confirmation → Post-Cancel
Step 1: Trigger Customer clicks "Cancel subscription" in account settings.
Step 2: Exit Survey Ask why they're cancelling. This determines which save offer to show.
Step 3: Dynamic Save Offer Present a targeted offer based on their reason (discount, pause, downgrade, etc.)
Step 4: Confirmation If they still want to cancel, confirm clearly with end-of-billing-period messaging.
Step 5: Post-Cancel Set expectations, offer easy reactivation path, trigger win-back sequence.
The exit survey is the foundation. Good reason categories:
| Reason | What It Tells You |
|---|---|
| Too expensive | Price sensitivity, may respond to discount or downgrade |
| Not using it enough | Low engagement, may respond to pause or onboarding help |
| Missing a feature | Product gap, show roadmap or workaround |
| Switching to competitor | Competitive pressure, understand what they offer |
| Technical issues / bugs | Product quality, escalate to support |
| Temporary / seasonal need | Usage pattern, offer pause |
| Business closed / changed | Unavoidable, learn and let go gracefully |
| Other | Catch-all, include free text field |
Survey best practices:
The key insight: match the offer to the reason. A discount won't save someone who isn't using the product. A feature roadmap won't save someone who can't afford it.
Offer-to-reason mapping:
| Cancel Reason | Primary Offer | Fallback Offer |
|---|---|---|
| Too expensive | Discount (20-30% for 2-3 months) | Downgrade to lower plan |
| Not using it enough | Pause (1-3 months) | Free onboarding session |
| Missing feature | Roadmap preview + timeline | Workaround guide |
| Switching to competitor | Competitive comparison + discount | Feedback session |
| Technical issues | Escalate to support immediately | Credit + priority fix |
| Temporary / seasonal | Pause subscription | Downgrade temporarily |
| Business closed | Skip offer (respect the situation) | — |
Discount
Pause subscription
Plan downgrade
Feature unlock / extension
Personal outreach
UI principles:
Read references/cancel-flow-patterns.md before designing a flow: it carries the patterns by industry and billing provider, the segment-specific variants, the post-cancel sequence, and screen mockups of the survey and offer steps.
The best save happens before the customer ever clicks "Cancel."
Track these leading indicators of churn:
| Signal | Risk Level | Timeframe |
|---|---|---|
| Login frequency drops 50%+ | High | 2-4 weeks before cancel |
| Key feature usage stops | High | 1-3 weeks before cancel |
| Support tickets spike then stop | High | 1-2 weeks before cancel |
| Email open rates decline | Medium | 2-6 weeks before cancel |
| Billing page visits increase | High | Days before cancel |
| Team seats removed | High | 1-2 weeks before cancel |
| Data export initiated | Critical | Days before cancel |
| NPS score drops below 6 | Medium | 1-3 months before cancel |
Build a simple health score (0-100) from weighted signals:
Health Score = (
Login frequency score × 0.30 +
Feature usage score × 0.25 +
Support sentiment × 0.15 +
Billing health × 0.15 +
Engagement score × 0.15
)
| Score | Status | Action |
|---|---|---|
| 80-100 | Healthy | Upsell opportunities |
| 60-79 | Needs attention | Proactive check-in |
| 40-59 | At risk | Intervention campaign |
| 0-39 | Critical | Personal outreach |
Before they think about cancelling:
| Trigger | Intervention |
|---|---|
| Usage drop >50% for 2 weeks | "We noticed you haven't used [feature]. Need help?" email |
| Approaching plan limit | Upgrade nudge (not a wall — paywalls handles this) |
| No login for 14 days | Re-engagement email with recent product updates |
| NPS detractor (0-6) | Personal follow-up within 24 hours |
| Support ticket unresolved >48h | Escalation + proactive status update |
| Annual renewal in 30 days | Value recap email + renewal confirmation |
Failed payments cause 30-50% of all churn but are the most recoverable.
Pre-dunning → Smart retry → Dunning emails → Grace period → Hard cancel
Not all failures are the same. Retry strategy by decline type:
| Decline Type | Examples | Retry Strategy |
|---|---|---|
| Soft decline (temporary) | Insufficient funds, processor timeout | Retry on the canonical schedule below |
| Hard decline (permanent) | Card stolen, account closed | Don't retry — ask for new card |
| Authentication required | 3D Secure, SCA | Send customer to update payment |
Canonical retry schedule: one schedule governs this skill — the manual retry table in references/dunning-playbook.md §Retry Schedule by Provider (Day 1 / 3 / 5 / 7 / 10, fifth attempt last before the grace period ends). Read it before configuring retries and do not restate a different schedule anywhere.
Four emails on Day 0 / 3 / 7 / 10. The timing, tone, and full copy for each live in references/dunning-playbook.md §Dunning Email Sequence — read it before writing or configuring the sequence.
Dunning email best practices:
| Metric | Poor | Average | Good |
|---|---|---|---|
| Soft decline recovery | <40% | 50-60% | 70%+ |
| Hard decline recovery | <10% | 20-30% | 40%+ |
| Overall payment recovery | <30% | 40-50% | 60%+ |
| Pre-dunning prevention | None | 10-15% | 20-30% |
These bands are industry ranges for calibrating a recommendation. Never assert them as this product's result.
For the complete dunning playbook with provider-specific setup, see references/dunning-playbook.md.
| Metric | Formula | Target |
|---|---|---|
| Monthly churn rate | Churned customers / Start-of-month customers | <5% B2C, <2% B2B |
| Revenue churn (net) | (Lost MRR - Expansion MRR) / Start MRR | Negative (net expansion) |
| Cancel flow save rate | Saved / Total cancel sessions | 25-35% |
| Offer acceptance rate | Accepted offers / Shown offers | 15-25% |
| Pause reactivation rate | Reactivated / Total paused | 60-80% |
| Dunning recovery rate | Recovered / Total failed payments | 50-60% |
| Time to cancel | Days from first churn signal to cancel | Track trend |
Segment churn by:
Test one variable at a time:
| Test | Hypothesis | Metric |
|---|---|---|
| Discount % (20% vs 30%) | Higher discount saves more | Save rate, LTV impact |
| Pause duration (1 vs 3 months) | Longer pause increases return rate | Reactivation rate |
| Survey placement (before vs after offer) | Survey-first personalizes offers | Save rate |
| Offer presentation (modal vs full page) | Full page gets more attention | Save rate |
| Copy tone (empathetic vs direct) | Empathetic reduces friction | Save rate |
How to run cancel flow experiments: Route the hypothesis, sample, duration,
and stopping rule to suede-ab-testing. Use an authorized experimentation
system that can assign users consistently and read each funnel step (survey →
offer → accept/decline → confirm). Verify the system's current official
implementation guidance, assignment behavior, and event readback before launch.
This pack does not ship retention, billing, or analytics connectors. Select an authorized system from the user's actual stack and verify its current official documentation, account plan, test mode, and rollback path before configuration.
suede-emails.suede-analytics.suede-ab-testing.Before any change to a live billing object — retry rules, discounts, plan changes, pauses, cancellations, subscription state, or customer-facing billing messages — stop and emit this block, then wait. Inferred consent is not authorization, and "the user asked for a cancel flow" is not authorization to configure one.
HALT — billing mutation requires authorization
Mutation: <the exact change, e.g. "enable 5-attempt retry rule">
Objects touched: <provider, environment, subscriptions/customers/coupons affected, count>
Reversible by: <the exact rollback, or "not reversible">
Options:
1. Proceed in test mode only
2. Proceed on live objects as specified
3. Narrow the scope to <smaller set> and proceed
4. Abandon this mutation
Waiting for your choice.
suede-emails.suede-pricing or suede-offers.suede-paywalls.suede-analytics or suede-ab-testing.subscription-recovery. This skill is the merchant side only.suede-churn-prevention.Frequently asked questions
Use this Suede retention playbook to reduce voluntary and involuntary churn through transparent cancel flows, bounded save offers, proactive signals, and payment recovery.
The source record exposes this install command: npx skills add https://github.com/JasonColapietro/suede-creator-skills --skill "skills/suede-churn-prevention". Inspect the command and pinned source before running it.
Alternatives
narrative-io/narrative-skills-marketplace
Translate a fuzzy analytical question into a rigorous investigation plan. Interrogates the ask, grounds the plan in the available data dictionary, applies analytical best practices, and produces a structured brief of query specifications for a downstream query-writing skill. Plans, does not write SQL. Use when: "why did X drop", "is there a relationship between A and B", "who are our highest-value customers", "what's driving the change in Y", "investigate this trend", "design an analysis for", "
kensaurus/cursor-kenji
Cross-page UX audit for user stories, task completion, and information architecture — the layer audit-ux (per-page heuristics) skips. Use when "audit user flows", "IA audit", "can users find X", "navigation audit", or "funnel drop-off". Full DS burndown → plan-uiux-unification.
K-Dense-AI/scientific-agent-skills
Analyze Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when working with Neuropixels 1.0/2.0 recordings, spike sorting, or extracellular electrophysiology analysis.
alirezarezvani/claude-skills
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.