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

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%

Stage 1 — Trial Optimization

Trial Length

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.

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)

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

The Cancellation Flow

When a user initiates cancellation (iOS — ManagedSubscriptionGroup):

• Offer a pause before full cancel: "Pause for 1–3 months instead of cancelling"

• Show value recap: "You've used [feature] X times this month"

• Offer a discount: Only as last resort — 20–30% off for 3 months

• 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

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:

• 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

Channel

How

Push notification

In-app if app still installed

Email

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

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