checkout-abandonment

Audit e-commerce checkout abandonment with RMBC framework and revenue-impact fixes.

13|5|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/coleschaffer/dtc-copywriting-skills --skill checkout-abandonment-coleschaffer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: checkout-abandonment
Source: https://github.com/coleschaffer/dtc-copywriting-skills/tree/main/skills/checkout-abandonment
Command: npx skills add https://github.com/coleschaffer/dtc-copywriting-skills --skill checkout-abandonment-coleschaffer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Diagnose and fix checkout abandonment by auditing the checkout flow described by the user. The Skill scores abandonment risk across five friction categories, ranks top friction sources by estimated revenue impact, and outputs specific copy and UX fixes using RMBC principles. The workflow emphasizes evidence-based findings and actionable optimizations to improve conversion.

Core Features & Use Cases

  • RMBC-based audit of checkout stages (Entry, Form, Payment, Confirmation)
  • Evidence-driven scoring of five friction categories
  • Top friction point ranking with revenue impact estimates
  • Prescriptive copy and UX fixes with before/after examples
  • Use cases: e.g., checkout optimization for DTC products, cart-to-purchase funnel enhancements

Quick Start

Provide a detailed checkout flow description, including product type, price framing, and audience, and the skill will audit the flow and output prioritized fixes.

Frequently Asked Questions about checkout-abandonment

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

FAQPage Schema
How do I diagnose checkout abandonment drivers in my e-commerce funnel?

To diagnose checkout abandonment, audit the Entry, Form, Payment, and Confirmation stages using the RMBC framework to score friction categories and rank top friction points by estimated revenue impact. This evidence-based approach identifies specific copy and UX issues causing drop-offs.

What is the RMBC framework for conversion rate optimization?

The RMBC framework for conversion rate optimization evaluates checkout stages to score abandonment risk across five friction categories. It outputs prioritized copy and UX fixes with before/after examples, providing structured evidence to improve e-commerce conversion rates.

How do I audit my checkout flow for UX friction and copy issues?

To audit your checkout flow for UX friction and copy issues, provide a detailed description of the product type, price framing, and audience. The analysis evaluates Entry, Form, Payment, and Confirmation stages to output prescriptive fixes with before/after examples.

Can I use this checkout abandonment audit for DTC product funnels?

Yes, you can use this checkout abandonment audit for DTC product funnels and cart-to-purchase enhancements. The RMBC-based evaluation works by scoring friction across checkout stages and ranking revenue impact for any e-commerce funnel described.

What is the best way to prioritize checkout friction fixes by revenue impact?

The best way to prioritize checkout friction fixes by revenue impact is to score abandonment risk across five friction categories and rank the top friction sources. This method estimates revenue impact for each point to guide prescriptive copy and UX optimizations.

Why does my e-commerce checkout flow suffer from high abandonment rates?

E-commerce checkout abandonment rates often stem from friction across Entry, Form, Payment, and Confirmation stages. An RMBC audit identifies specific copy and UX drivers, scoring five friction categories to pinpoint exact drop-off causes and recommend fixes.