dunning-deep-dive

Design ecomm dunning strategies that align retry timing with decline reason codes.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/ohsonerdy/openclaw-frontier-stack --skill dunning-deep-dive
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dunning-deep-dive
Source: https://github.com/ohsonerdy/openclaw-frontier-stack/tree/main/skills/dunning-deep-dive
Command: npx skills add https://github.com/ohsonerdy/openclaw-frontier-stack --skill dunning-deep-dive

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps ecomm teams design and audit a dunning sequence to recover failed payments while reducing involuntary churn.

Core Features & Use Cases

  • Recovery diagnostics by attempt and reason code: Analyzes recovery performance across retry attempts and segments by decline reason to determine where the sequence leaks.
  • Reason-aware sequence design: Builds different interventions for NSF, expired cards, network declines, fraud/blocked, lost/stolen, and limit-exceeded outcomes instead of treating all failures the same.
  • High-conversion communication and stop rules: Recommends silent early retries, operational copy timing, SMS escalation, clear “last attempt” framing, pause-after-final-retry, and reactivation-flow separation.
  • Pre-failure prevention playbooks: Adds expiration warnings and card-updater services (VAU/ABU) to avoid failures rather than only responding after them.

Quick Start

Use the dunning-deep-dive skill to design a reason-code aware retry schedule and communication plan for your current failed-payment recovery performance.

Frequently Asked Questions about dunning-deep-dive

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce involuntary churn from failed subscription payments?

Reduce involuntary churn by designing a dunning strategy that aligns retry timing and messaging with specific decline reason codes. Differentiate interventions for NSF, expired cards, network declines, and fraud states instead of treating all failures the same.

What's the best way to structure a dunning retry schedule for recurring billing?

Structure a dunning retry schedule by applying silent early retries for network declines, operational copy timing for NSF, SMS escalation, clear last-attempt framing, and pause-after-final-retry rules to recover failed payments without burning customer trust.

How does reason code segmentation improve payment recovery rates?

Reason code segmentation improves payment recovery by building different interventions for NSF, expired cards, network declines, fraud, lost/stolen, and limit-exceeded outcomes. Analyzing recovery performance by attempt and reason code reveals where the sequence leaks.

Can I prevent subscription payment failures before they happen?

Prevent subscription payment failures by implementing pre-failure prevention playbooks that add card expiration warnings and card-updater services like VAU and ABU to avoid failures rather than only responding after they occur.

How do I handle dunning for blocked or fraud-related card declines?

Handle blocked or fraud-related card declines by building specific segmentation branches in your dunning sequence. Pause standard retry logic for fraud states and separate reactivation flows to avoid burning trust with customers experiencing lost or stolen card outcomes.

What data do I need to audit my current dunning sequence performance?

Auditing dunning sequence performance requires diagnostic data pulls including dunning recovery rates, churn split, cancel reasons, and flow performance. Modern-mcp can supply this data to determine where your retry sequence leaks across attempts and decline reasons.