PluginBench
Skill
Pass
Audit score 90

subscription-lifecycle

appeeky/aso-skills

Optimize every stage of subscription journeys: trial conversion, renewal, churn recovery, and win-back campaigns.

What is subscription-lifecycle?

This skill guides you through the complete subscription lifecycle—from trial start through paid conversion, renewal, cancellation, and win-back. Use it when optimizing trial-to-paid rates, reducing churn, handling failed payments via dunning, or re-engaging lapsed subscribers.

  • Design trial length and nurture sequences to maximize conversion (25–40% benchmark)
  • Reduce voluntary churn by identifying at-risk users and offering pause/discount options before cancellation
  • Implement dunning strategies and grace periods to recover involuntary churn from failed payments (>30% recovery target)
  • Build win-back campaigns with escalating offers for lapsed subscribers (5–15% resubscribe rate)
  • Track key metrics: trial-to-paid, M1/M6 renewal rates, monthly churn, LTV, and dunning recovery rates
  • Create subscription health reports comparing your metrics against industry benchmarks

How to install subscription-lifecycle

npx skills add https://github.com/appeeky/aso-skills --skill subscription-lifecycle
Claude Code
Cursor
Windsurf
Cline

How to use subscription-lifecycle

  1. 1.Identify which stage of the subscription lifecycle needs optimization (trial, renewal, voluntary churn, involuntary churn, or win-back)
  2. 2.Calculate your current metrics for that stage using the formulas provided (e.g., trial-to-paid = conversions ÷ trials)
  3. 3.Compare your metric against the benchmark in the table to quantify the gap
  4. 4.Implement the recommended fix for that stage (e.g., extend trial length, add dunning grace period, launch win-back offer)
  5. 5.Re-measure after 2–4 weeks and iterate; prioritize the single highest-leverage change first

Use cases

Good for
  • A fitness app with 7-day trial sees 30% conversion; you optimize the trial nurture sequence to push core features on days 1 and 3, increasing conversion to 38%
  • An app loses 35% of subscribers to failed payments; you configure a 16-day grace period and dunning retry sequence, recovering 40% of those failed payments
  • A productivity tool has 8% monthly churn; you implement an exit survey, identify that 40% cite 'too expensive,' and introduce a pause option, reducing churn to 5%
  • A lapsed-subscriber list of 50k users receives a 3-tier win-back campaign (new features → 30% off → 50% off), achieving 12% resubscribe rate
  • You track M1 renewal at 65% vs. 70% benchmark; you analyze cohorts and find onboarding drop-off is the root cause, triggering an onboarding-optimization project
Who it's for
  • Subscription app product managers and growth leads
  • Mobile app developers implementing subscription monetization
  • Subscription business analysts tracking lifecycle metrics
  • Retention and churn-reduction specialists
  • Revenue operations teams managing billing and dunning

subscription-lifecycle FAQ

What's the difference between voluntary and involuntary churn?

Voluntary churn is when a user actively cancels (too expensive, not using it, found alternative). Involuntary churn is when a subscription fails to renew due to a failed payment. Involuntary churn accounts for 20–40% of all cancellations and is often recoverable via dunning and grace periods.

How long should my trial be?

It depends on app type: simple utilities 3–7 days, health/fitness and productivity 7–14 days, entertainment 7 days. Test both lengths; conversion may drop slightly on longer trials but LTV often increases.

What's a grace period and why does it matter?

A grace period is the window after a failed payment during which the subscription remains active while you retry billing. iOS allows up to 16 days, Android up to 3 days. Longer grace periods recover significantly more subscribers—every extra day counts.

When should I offer a discount to prevent cancellation?

Only as a last resort in the cancellation flow. First offer a pause option (1–3 months), then show value recap, then offer 20–30% off for 3 months. Discounting too early trains users to expect deals and erodes LTV.

How do I know if a user is at high churn risk before they cancel?

Watch for: sessions < 1 per week (down from baseline), core feature unused for 14+ days, push notifications disabled, or last session > 7 days ago. Trigger a re-engagement push or in-app message before they initiate cancellation.

Full instructions (SKILL.md)

Source of truth, from appeeky/aso-skills.


name: subscription-lifecycle description: When the user wants to optimize their subscription business end-to-end — from trial start through renewal, cancellation, and win-back. Use when the user mentions "subscription lifecycle", "trial conversion", "churn", "cancellation", "win-back", "lapsed subscribers", "dunning", "billing retry", "grace period", "renewal rate", "subscriber LTV", or "resubscribe". For paywall design and pricing strategy, see monetization-strategy. For subscription analytics dashboards, see app-analytics. metadata: version: 1.0.0

Subscription Lifecycle

You optimize every stage of the subscription journey: trial → paid → renewal → cancellation recovery → win-back.

The Subscription Lifecycle

Install → Trial start → [Trial period] → Conversion → Renewal → ... → Cancel → Win-back
            ↓                               ↓              ↓           ↓
         No convert                    Voluntary       Involuntary   Lapsed
         (nurture)                     (exit survey)   (dunning)     (campaign)

Key Metrics at Each Stage

StageMetricFormulaBenchmark
TrialTrial start rateTrials / Downloads> 20%
TrialTrial-to-paidConversions / Trials25–40% strong
RetentionMonth 1 renewalM1 renewals / Subscribers> 70%
RetentionMonth 6 renewalM6 renewals / Subscribers> 50%
ChurnMonthly churnLost subs / Start subs< 5% good; < 2% excellent
RevenueMRRActive subs × monthly price—
RevenueLTVARPU / Monthly churn rate—
RecoveryDunning recoveryRecovered / Failed payments> 30%
Win-backResubscribe rateReturns / Lapsed5–15%

Stage 1 — Trial Optimization

Trial Length

App TypeRecommended trialNotes
Simple utility3–7 daysValue obvious quickly
Health/fitness7–14 daysHabit formation needs time
Productivity7–14 daysWorkflow integration
Education7–14 daysFirst lesson completion
Entertainment7 daysBinge behavior

Test: Monthly apps with a 7-day trial vs. 14-day trial — conversion rate may drop slightly but LTV often increases.

Trial Nurture Sequence

Send in-app (or push) messages during the trial to drive activation:

Day 0: Welcome — "Your trial has started. Here's how to get the most from it."
Day 1: Core feature highlight — "Try [key feature] today"
Day 3: Progress / social proof — "Users who do X get 3× better results"
Day 5 (7-day trial): Urgency — "2 days left in your trial"
Day 6: Value recap — "Here's what you've done / could do with premium"
Day 7: Last day — "Your trial ends today"

Rule: Messages should show value, not just create pressure.

Trial End — Conversion Moment

At trial end, show a paywall that:

  • Recaps what the user achieved during the trial
  • Shows the most-used premium features
  • Offers 3 plan options (monthly / annual / lifetime if applicable)
  • Highlights savings on annual ("Save 40%")

See monetization-strategy for paywall design details.

Stage 2 — Reducing Voluntary Churn

Why Users Cancel (and How to Fix It)

ReasonSignalFix
Forgot they subscribedLow sessions, no activationImprove onboarding + notification strategy
Not enough valueLow feature usagePush underused high-value features
Too expensivePrice sensitivityIntroduce lower-tier or pause option
Problem with app1-star reviewsFix the bug, reply to reviews
Found alternative—Monitor competitor installs
Seasonal useChurns at same time yearlyOffer a pause option

The Cancellation Flow

When a user initiates cancellation (iOS — ManagedSubscriptionGroup):

  1. Offer a pause before full cancel: "Pause for 1–3 months instead of cancelling"
  2. Show value recap: "You've used [feature] X times this month"
  3. Offer a discount: Only as last resort — 20–30% off for 3 months
  4. Exit survey: Always ask "Why are you cancelling?" (1 tap, not an essay)

Cancellation exit survey options:

  • Too expensive
  • Not using it enough
  • Missing a feature I need
  • Switching to a competitor
  • Technical issues
  • Just taking a break

Engagement Signals to Watch

Users at high churn risk:

  • Sessions < 1 per week (down from higher baseline)
  • Core feature not used in 14+ days
  • Push notifications disabled
  • Last session > 7 days ago

Trigger a re-engagement push or in-app message before they cancel.

Stage 3 — Involuntary Churn (Failed Payments)

Involuntary churn accounts for 20–40% of all subscription cancellations.

Dunning Strategy

DayAction
0Payment fails silently — Apple/Google retry
3Apple/Google retry #2
7Apple/Google retry #3 — show in-app "Update payment method" banner
10Send push: "Your subscription couldn't be renewed — tap to update"
14Grace period ends — subscription suspended
15Final in-app message: "Reactivate to keep access"

Grace period:

  • iOS: 6 days (configurable up to 16 in App Store Connect)
  • Android: 3 days (configurable)

Maximize grace period length — every extra day recovers more subscribers.

RevenueCat Integration

RevenueCat handles dunning automatically. Key settings:

  • Enable Billing Retry (iOS) / Account Hold (Android)
  • Configure grace period to maximum allowed
  • Use RevenueCat webhooks to trigger in-app messaging at each failure event

See revenuecat.md integration guide.

Stage 4 — Win-Back Campaigns

Target lapsed subscribers (cancelled or expired in last 30–90 days).

Win-Back Offer Ladder

Start with the softest offer; escalate only if no response:

Week 1 after lapse:  "We miss you" — highlight new features added since they left
Week 3:              "Come back for 30% off your first month back"
Week 6:              "3 months at 50% off — best offer we'll make"
Week 12+:            Archive — low conversion probability

Win-Back Channels

ChannelHow
Push notificationIn-app if app still installed
EmailIf email was collected
Apple Win-Back OfferNative iOS win-back offer in StoreKit 2
Paid retargetingMeta/Google retargeting to lapsed subscriber list

StoreKit 2 Win-Back Offers (iOS 18+)

Apple natively supports win-back subscription offers for lapsed subscribers:

  • Set up in App Store Connect → Subscriptions → Win-Back Offers
  • Presented automatically in the App Store to eligible lapsed users
  • No additional code needed beyond StoreKit 2 integration

Output Format

Subscription Health Report

Lifecycle Metrics ([period]):

Trial start rate:    [X]%  (benchmark: >20%)
Trial conversion:    [X]%  (benchmark: 25-40%)
M1 renewal:          [X]%  (benchmark: >70%)
Monthly churn:       [X]%  (benchmark: <5%)
Dunning recovery:    [X]%  (benchmark: >30%)
Win-back rate:       [X]%  (benchmark: 5-15%)

LTV (estimated):    $[N]
MRR:                $[N]

Top issues:
1. [Stage] — [metric] is [X]% vs benchmark [Y]% — [recommended fix]
2. [Stage] — [metric] is [X]% vs benchmark [Y]% — [recommended fix]

Priority action:
[Single highest-leverage change to implement this week]

Related Skills

  • monetization-strategy — Paywall design, pricing tiers, trial setup
  • retention-optimization — Engagement strategy to reduce voluntary churn
  • app-analytics — Track the metrics above with Firebase + RevenueCat
  • onboarding-optimization — Fix early-stage drop-off that prevents trial starts
  • rating-prompt-strategy — Satisfied subscribers are your best raters