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Payment Recovery

Recover failed payments with a real playbook.

Set retry timing, define recovery failure paths, keep subscribers informed, and track which charges become revenue vs. churn.

Retry policiesGrace periodsRecovery visibility
Dunning · M1 cohort
Recovered 62.4%
Lost 7.1%
Day 1
Retry 1
card declined
Day 3
Card update sent
email opened
Day 5
Retry 2
insufficient funds
Day 7
Updater hit
new card · +$49
Day 8
Recovered
active · billed
At risk
$128,400
Recovered
$80,196
Remaining window
14 days

How it works

Where failed-payment recovery falls apart.

One-size retry does not work

Insufficient funds, expired cards, and blocks need different timing. Most teams retry blindly.

Subscribers do not know what to do

When follow-up is late or vague, recoverable failures quietly become avoidable churn.

Billing loses recovery state

Is the subscriber in grace, updated, or moving toward cancellation? Teams cannot tell.

Performance is hard to measure

Without reporting, you cannot tell which failures recover, which retries waste time, where churn comes from.

Dunning around retry, action, and visibility

Failed payments handled with retry logic, follow-up, escalation, and downstream visibility. A repeatable playbook.

  • Configurable retry schedules

    Set retry timing per failure reason. Match billing policy and what you see most often.

  • Grace and escalation

    Control what happens during recovery and what state the subscription moves to if it fails.

  • Subscriber notifications

    Inform subscribers of failed charges and the action needed before status changes.

Dunning around retry, action, and **visibility**
Capabilities

What recovery teams need

Smart retry schedules

Tune timing so recoverable failures do not become churn.

Grace and escalation

Access and lifecycle state during recovery.

Subscriber follow-up

Prompt customers to fix payment before the window closes.

Recovery reporting

See which failures recover and where involuntary churn happens.

Lifecycle sync

State changes stay consistent through recovery.

How it works

From failed charge to recovered or churned

Frequently Asked Questions

How many retry attempts can I configure?+
Depends on methods, behavior, and tolerance for delayed recovery. Make the policy explicit, not blind retry.
What happens after all retries fail?+
Per lifecycle policy. Move to grace, pause, lighter plan, or cancellation depending on the customer you want to keep.
Can subscribers update payment during dunning?+
Yes. Recovery works best when update is part of the flow, not a support ticket. Path depends on your billing setup.
How do I measure dunning effectiveness?+
Track recovery by attempt, reason, method, grace exit, and churn outcome. Shows whether retry improves revenue or just delays churn.
How does Gruv AI fit into this feature?+
Gruv AI runs payout automation, compliance gates, exception handling, and an Ask Gruv AI workspace across every product. Each feature inherits the same AI surface, so rules, holds, and reconciliation context stay consistent across the workflow.
Can I start with this feature and add more later?+
Yes. Gruv is modular, you can start with a single workflow and expand to additional modules as your requirements grow.
How do integrations work?+
Integrate via APIs and webhooks, or start with file imports/exports for a fast evaluation. Email ingestion can help with lightweight backfills when needed.
What affects coverage, methods, and timelines?+
Coverage, methods, and timelines vary by market and are subject to compliance and policy checks. Confirm your target corridors and payout methods during evaluation.
Is this tax or legal advice?+
No. Tax and compliance features vary by jurisdiction and customer configuration. This content is for informational purposes and is not tax or legal advice.

Recover more revenue.

Set retry timing, define recovery failure paths, keep subscribers informed, and track which charges become revenue vs. churn.

Many teams start with a narrow launch in weeks; timelines depend on scope and integrations.