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/churn-prevention

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When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers or wants to build systems to prevent it. For post-cancel win-back email sequences, see emails. For in-app upgrade paywalls, see paywalls.

Use this Skill: https://skilld.dev/gh/coreyhaines31/marketingskills/churn-prevention

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referencescancel-flow-patterns.md

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Cancel Flow Patterns

Detailed cancel flow patterns by business type, billing provider, and industry.


Cancel Flow by Business Type

B2C / Self-Serve SaaS

High volume, low touch. The flow must work without human intervention.

Flow structure:

Cancel button → Exit survey (1 question) → Dynamic offer → Confirm → Post-cancel

Characteristics:

  • Fully automated, no human in the loop
  • Quick — 2-3 screens maximum
  • One offer + one fallback, not a menu of options
  • Mobile-optimized (significant cancellations on mobile)
  • Clear "continue cancelling" at every step

Typical save rate: 20-30%

Example flow for a $29/mo productivity app:

  1. "What's the main reason?" → 6 options
  2. Selected "Too expensive" → "Get 25% off for 3 months (save $21.75)"
  3. Declined → "Or switch to our Starter plan at $12/mo"
  4. Declined → "We're sorry to see you go. Your access continues until [date]."

B2B / Team Plans

Lower volume, higher stakes. Personal outreach is worth the cost.

Flow structure:

Cancel button → Exit survey → Offer (or route to CS) → Confirm → Post-cancel

Characteristics:

  • Route accounts above MRR threshold to customer success
  • Show team impact ("Your 8 team members will lose access")
  • Offer admin-to-admin call for enterprise accounts
  • Longer consideration — allow "schedule a call" as a save option
  • Require admin/owner role to cancel (not any team member)

Typical save rate: 30-45% (higher because of personal touch)

MRR-based routing:

Account MRR Cancel Flow
<$100/mo Automated flow with offers
$100-$500/mo Automated + flag for CS follow-up
$500-$2,000/mo Route to CS before cancel completes
$2,000+/mo Block self-serve cancel, require CS call

Freemium / Free-to-Paid

Users cancelling paid to return to free tier. Different psychology — they're not leaving, they're downgrading.

Flow structure:

Cancel button → "Switch to Free?" prompt → Exit survey (if still cancelling) → Offer → Confirm

Characteristics:

  • Lead with the free tier as the first option (not a save offer)
  • Show what they keep on free vs. what they lose
  • The "save" is keeping them on free, not losing them entirely
  • Track free-tier users for future re-upgrade campaigns

Cancel Flow by Billing Interval

Monthly Subscribers

  • More price-sensitive, shorter commitment
  • Discount offers work well (20-30% for 2-3 months)
  • Pause is effective (1-2 months)
  • Suggest annual plan at a discount as an alternative

Offer priority:

  1. Discount (if reason = price)
  2. Pause (if reason = not using / temporary)
  3. Annual plan switch (if engaged but price-sensitive)

Annual Subscribers

  • Higher commitment, often cancelling for stronger reasons
  • Prorate refund expectations matter
  • Longer save window (they've already paid)
  • Personal outreach more justified (higher LTV at stake)

Offer priority:

  1. Pause remainder of term (if temporary)
  2. Plan adjustment + credit for next renewal
  3. Personal outreach from CS
  4. Partial refund + downgrade (better than full refund + cancel)

Refund handling:

  • Offer prorated refund if significant time remaining
  • "Pause until renewal" if less than 3 months left
  • Be generous — bad refund experiences create vocal detractors

Save Offer Patterns

The Discount Ladder

Don't lead with your biggest discount. Escalate:

Cancel click → 15% off → Still cancelling → 25% off → Still cancelling → Let them go

Rules:

  • Maximum 2 discount offers per cancel session
  • Never exceed 30% (higher trains cancel-for-discount behavior)
  • Time-limit discounts (2-3 months, then full price resumes)
  • Track discount accepters — if they cancel again at full price, don't re-offer

The Pause Playbook

Pause is often better than a discount because it doesn't devalue your product.

Implementation:

Setting Recommendation
Pause duration options 1 month, 2 months, 3 months
Default selection 1 month (shortest)
Maximum pause 3 months (longer pauses rarely return)
During pause Keep data, remove access
Reactivation Auto-reactivate with 7-day advance email
Repeat pauses Allow 1 pause per 12-month period

Pause reactivation sequence:

  • Day -7: "Your pause ends in 7 days. We've been busy — here's what's new."
  • Day -1: "Welcome back tomorrow! Here's what's waiting for you."
  • Day 0: "You're back! Here's a quick tour of what's new."

The Downgrade Path

For multi-plan products, downgrade is the strongest save:

┌─────────────────────────────────────────┐
│  Before you go, what about right-sizing │
│  your plan?                             │
│                                         │
│  Current: Pro ($49/mo)                  │
│                                         │
│  ┌─────────────────────────────────┐    │
│  │ Switch to Starter ($19/mo)      │    │
│  │                                 │    │
│  │ ✓ Keep: Projects, integrations  │    │
│  │ ✗ Lose: Advanced analytics,     │    │
│  │         team features           │    │
│  │                                 │    │
│  │ [Switch to Starter]             │    │
│  └─────────────────────────────────┘    │
│                                         │
│  [No thanks, continue cancelling]       │
└─────────────────────────────────────────┘

Downgrade best practices:

  • Show exactly what they keep and what they lose
  • Use checkmarks and X marks for scanability
  • Preserve their data even on the lower plan
  • If they downgrade, don't show upgrade prompts for at least 30 days

The Competitor Switch Handler

When the cancel reason is "switching to competitor":

  1. Ask which competitor (optional, don't force it)
  2. Show a comparison if you have one (see competitors skill)
  3. Offer a migration credit ("We'll match their price for 3 months")
  4. Request a feedback call ("15 minutes to understand what we're missing")

This data is gold for product and marketing teams.


Post-Cancel Experience

What happens after cancel matters for:

  • Win-back potential
  • Word of mouth
  • Review sentiment

Confirmation Page

Your subscription has been cancelled.

What happens next:
• Your access continues until [billing period end date]
• Your data will be preserved for 90 days
• You can reactivate anytime from your account settings

[Reactivate My Account]

We'd love to have you back. We'll keep improving based on feedback
from customers like you.

Post-Cancel Sequence

Timing Action
Immediately Confirmation email with access end date
Day 1 (Nothing — don't be desperate)
Day 7 NPS/satisfaction survey about overall experience
Day 30 "What's new" email with recent improvements
Day 60 Address their specific cancel reason if resolved
Day 90 Final win-back with special offer

For detailed win-back email sequences: See the emails skill.


Segmentation Rules

The most effective cancel flows use segmentation to show different offers to different customers.

Segmentation Dimensions

Dimension Why It Matters
Plan / MRR Higher-value customers get personal outreach
Tenure Long-term customers get more generous offers
Usage level High-usage customers get different messaging than dormant ones
Billing interval Monthly vs. annual need different approaches
Previous saves Don't re-offer the same discount to a repeat canceller
Cancel reason Drives which offer to show (core mapping)

Segment-Specific Flows

New customer (< 30 days):

  • They haven't activated. The save is onboarding, not discounts.
  • Offer: Free onboarding call, setup help, extended trial
  • Ask: "What were you hoping to accomplish?" (learn what's missing)

Engaged customer cancelling on price:

  • They love the product but can't justify the cost.
  • Offer: Discount, annual plan switch, downgrade
  • High save potential

Dormant customer (no login 30+ days):

  • They forgot about you. A discount won't bring them back.
  • Offer: Pause subscription, "what changed?" conversation
  • Low save potential — focus on learning why

Power user switching to competitor:

  • They're actively choosing something else.
  • Offer: Competitive match, feedback call, roadmap preview
  • Medium save potential — depends on reason

Implementation Checklist

Phase 1: Foundation (Week 1)

  • Add cancel flow (survey + 1 offer + confirmation)
  • Set up exit survey with 5-7 reason categories
  • Map one offer per reason (simple 1:1 mapping)
  • Track cancel reasons and save rate in analytics
  • Enable pre-dunning card expiry emails

Phase 2: Optimization (Weeks 2-4)

  • Add fallback offers (primary + secondary per reason)
  • Implement pause subscription option
  • Set up dunning email sequence (4 emails over 10 days)
  • Enable smart retries (Stripe Smart Retries or equivalent)
  • Add MRR-based routing for high-value accounts

Phase 3: Advanced (Month 2+)

  • Build health score from usage signals
  • Set up proactive intervention triggers
  • A/B test discount amounts and offer types
  • Segment flows by plan, tenure, and usage
  • Post-cancel win-back sequence (coordinate with emails skill)
  • Cohort analysis: churn by channel, plan, tenure

Compliance Notes

FTC Click-to-Cancel Rule (US)

  • Cancellation must be as easy as signup
  • Cannot require a phone call to cancel if signup was online
  • Cannot add excessive steps to discourage cancellation
  • Save offers are allowed but "continue cancelling" must be clear

GDPR / Data Retention (EU)

  • Inform users about data retention period post-cancel
  • Offer data export before account deletion
  • Honor deletion requests within 30 days
  • Don't use post-cancel data for marketing without consent

General Best Practices

  • Always show a clear path to complete cancellation
  • Never hide the cancel button (dark pattern)
  • Process cancellation even if save flow has errors
  • Confirm cancellation with email receipt

Source: SKILL.md on GitHub

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    The churn-prevention skill provides strategic guidance for reducing SaaS churn. It includes frameworks for designing cancellation flows, exit surveys, save offers, and payment recovery (dunning) strategies. The skill is instructional in nature and does not contain executable code or malicious patterns.

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Signed by skilld at 30f9b9a. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 1 minute ago.

Activeupdated 5 months ago
metadata
{
  "version": "2.0.0"
}
  • saas
  • churn
  • retention
  • billing
  • stripe
  • cancellation
  • dunning
  • payment-recovery
  • subscriptions

README badge

README badge for coreyhaines31/marketingskills/churn-prevention

Helps reduce subscriber churn by building cancel flows with exit surveys, dynamic save offers (discounts, downgrades, pauses), and dunning strategies for failed payments. Covers both voluntary churn (customers choosing to leave) and involuntary churn (payment failures), with guidance on health score modeling and proactive retention triggers.

Generated from the current SKILL.md.

Does this skill work with all billing providers?
The skill covers general churn prevention principles and references Stripe, Chargebee, Paddle, Recurly, and Braintree. You'll need to adapt the implementation to your specific billing provider's API and dunning capabilities.
What's the difference between voluntary and involuntary churn?
Voluntary churn is when a customer chooses to cancel; involuntary churn happens from failed payments. This skill handles both via cancel flows with save offers for voluntary churn and dunning/retry strategies for involuntary churn.
Can I use this skill without tracking user engagement data?
You can build a basic cancel flow and save offers, but churn prediction and proactive retention require engagement signals like login frequency and feature usage. Start with cancel flow design if you don't have that data yet.
Does this skill cover win-back email sequences after cancellation?
No. Post-cancel win-back email sequences are covered by the emails skill. This skill focuses on preventing cancellation and recovering failed payments.
Should I offer discounts to save every cancelling customer?
No. Discounts only work for price-sensitive customers; someone cancelling because they don't use the product or are switching competitors needs a different offer like a pause, downgrade, or feature unlock. Match the offer to the cancellation reason from your exit survey.

Generated from the current SKILL.md. These answers refresh after source changes.