Audit advanced Works with: Any AI

Subscription Billing Failure and Churn Leakage Review

Table output Has example

Find revenue lost to failed payments and billing errors.

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Review subscription billing health. Data for the last three months: successful payments, failed payments, retries, recoveries, cancellations and refunds: [BILLING_DATA]. Retry rules: [RETRY_RULES]. Customer messages sent after failures: [DUNNING_MESSAGES].

Calculate the failure rate as failed divided by attempted, the recovery rate as recovered divided by failed and revenue lost to unrecovered failures. Check whether messages are clear, timely and polite, and whether grace periods are fair.

Return a table, an estimate of monthly leakage with arithmetic, three fixes (card update reminders, retry timing, clearer messages), and a monitoring routine. Note the limits of three months of data. Consumer rules for recurring payments are [VERIFY] for [JURISDICTION].

Add a worked calculation. Attempted payments 1,000, failed 80 (failure rate 8 percent), recovered after retries 50 (recovery rate 62.5 percent), unrecovered 30. If the average monthly charge is 25, the lost revenue is 30 times 25 equal to 750 a month. Suggest improvements and their potential: sending a card update reminder before expiry could reduce failures; changing retry timing to after typical payday could raise recovery. Replace with my data and tell me which assumptions are uncertain. Add a short list of customer message principles: say plainly what happened, how to fix it in one step, and how long access continues.

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Invented month. Attempted payments 1,000; failed 80; recovered after retries 50; unrecovered 30.
Failure rate = 80 / 1,000 = 8 percent. Recovery rate = 50 / 80 = 62.5 percent.
Average charge 25: lost revenue = 30 x 25 = 750 a month.
Ideas: a card update reminder before expiry; retry timing nearer typical payday; clearer failure message.
Caveat: three months of data is a short history; seasonality is unknown.
Consumer rules for recurring payments are [VERIFY].
Next step: test a card update reminder 7 days before expiry on half of affected customers and compare recovery rates after one month.

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