subscription-lifecycle — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited subscription-lifecycle (Agent Skill) and scored it 45/100 (orange). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 1 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 1 flagged
A base64 string of 128+ characters appears in a documentation file. Encoded prompt injection hides the hostile instruction in base64 — invisible to keyword filters — and relies on the agent's ability to decode it at runtime. There is no normal authoring reason to embed a multi-hundred-byte base64 blob in skill docs.
*.sig, SIGNATURES) outside the documentation.Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
You optimize every stage of the subscription journey: trial → paid → renewal → cancellation recovery → win-back.
Install → Trial start → [Trial period] → Conversion → Renewal → ... → Cancel → Win-back
↓ ↓ ↓ ↓
No convert Voluntary Involuntary Lapsed
(nurture) (exit survey) (dunning) (campaign)| Stage | Metric | Formula | Benchmark |
|---|---|---|---|
| Trial | Trial start rate | Trials / Downloads | > 20% |
| Trial | Trial-to-paid | Conversions / Trials | 25–40% strong |
| Retention | Month 1 renewal | M1 renewals / Subscribers | > 70% |
| Retention | Month 6 renewal | M6 renewals / Subscribers | > 50% |
| Churn | Monthly churn | Lost subs / Start subs | < 5% good; < 2% excellent |
| Revenue | MRR | Active subs × monthly price | — |
| Revenue | LTV | ARPU / Monthly churn rate | — |
| Recovery | Dunning recovery | Recovered / Failed payments | > 30% |
| Win-back | Resubscribe rate | Returns / Lapsed | 5–15% |
| App Type | Recommended trial | Notes |
|---|---|---|
| Simple utility | 3–7 days | Value obvious quickly |
| Health/fitness | 7–14 days | Habit formation needs time |
| Productivity | 7–14 days | Workflow integration |
| Education | 7–14 days | First lesson completion |
| Entertainment | 7 days | Binge behavior |
Test: Monthly apps with a 7-day trial vs. 14-day trial — conversion rate may drop slightly but LTV often increases.
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.
At trial end, show a paywall that:
See monetization-strategy for paywall design details.
| Reason | Signal | Fix |
|---|---|---|
| Forgot they subscribed | Low sessions, no activation | Improve onboarding + notification strategy |
| Not enough value | Low feature usage | Push underused high-value features |
| Too expensive | Price sensitivity | Introduce lower-tier or pause option |
| Problem with app | 1-star reviews | Fix the bug, reply to reviews |
| Found alternative | — | Monitor competitor installs |
| Seasonal use | Churns at same time yearly | Offer a pause option |
When a user initiates cancellation (iOS — ManagedSubscriptionGroup):
Cancellation exit survey options:
Users at high churn risk:
Trigger a re-engagement push or in-app message before they cancel.
Involuntary churn accounts for 20–40% of all subscription cancellations.
| Day | Action |
|---|---|
| 0 | Payment fails silently — Apple/Google retry |
| 3 | Apple/Google retry #2 |
| 7 | Apple/Google retry #3 — show in-app "Update payment method" banner |
| 10 | Send push: "Your subscription couldn't be renewed — tap to update" |
| 14 | Grace period ends — subscription suspended |
| 15 | Final in-app message: "Reactivate to keep access" |
Grace period:
Maximize grace period length — every extra day recovers more subscribers.
RevenueCat handles dunning automatically. Key settings:
See revenuecat.md integration guide.
Target lapsed subscribers (cancelled or expired in last 30–90 days).
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| Channel | How |
|---|---|
| Push notification | In-app if app still installed |
| If email was collected | |
| Apple Win-Back Offer | Native iOS win-back offer in StoreKit 2 |
| Paid retargeting | Meta/Google retargeting to lapsed subscriber list |
Apple natively supports win-back subscription offers for lapsed subscribers:
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]monetization-strategy — Paywall design, pricing tiers, trial setupretention-optimization — Engagement strategy to reduce voluntary churnapp-analytics — Track the metrics above with Firebase + RevenueCatonboarding-optimization — Fix early-stage drop-off that prevents trial startsrating-prompt-strategy — Satisfied subscribers are your best raters~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.