Subscription Revenue Leak Detector

Subscription Revenue Leak Detector: practical plan

Reconciliation design

Source datasets

Join subscription records, invoice/payment status, product entitlements, trial dates, refunds, cancellations and account mapping. Use stable internal IDs and a documented snapshot time.

Exception categories

• Active entitlement with no active subscription or valid trial
• Paid subscription without expected entitlement
• Duplicate active subscriptions for one account
• Refund or chargeback with access still enabled contrary to policy
• Delayed webhook causing a temporary mismatch

Prioritization

Rank exceptions by amount, duration, account state and confidence. Treat temporary event lag differently from confirmed leakage.

Workflow

Create an idempotent daily report with source links, owner, status and resolution. Require human review before changing access or billing. Do not automatically charge customers based on a mismatch.

Controls

Protect customer data, restrict report access and log changes. Reconcile totals to finance and monitor false positives.

Success measures

Time to resolution, confirmed leakage recovered, access errors, customer complaints and recurring root causes. Review patterns with billing engineering.

Measurement and review

Record the baseline, source, date range, denominator and owner. Use one primary measure plus quality guardrails; compare like-for-like cohorts and disclose missing data. Treat estimates as scenarios, not observed outcomes.

Risks and controls

Check relevance, consent, disclosure, workload and downside before scaling. Keep an evidence trail, obtain human review for material commitments, and pause if trust, quality or compliance signals deteriorate.

Next steps

1. Confirm the goal, audience and available capacity.
2. Gather the minimum evidence for a first test.
3. Assign an owner, budget and review date.
4. Run a small pilot, record outcomes and decide whether to iterate, expand or stop.