ecom-checkout-health

Compare commerce and GA4 funnel data to assess checkout conversion health.

1|Updated Jun 22, 2026

Search Tags:#decision making #data analysis #checkout #ecommerce #conversion health

Ready to run

npx skills add https://github.com/perceptiv-digital/ecommerce-operator-playbooks --skill ecom-checkout-health

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ecom-checkout-health
Source: https://github.com/perceptiv-digital/ecommerce-operator-playbooks/tree/main/skills/ecom-checkout-health
Command: npx skills add https://github.com/perceptiv-digital/ecommerce-operator-playbooks --skill ecom-checkout-health

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Helps determine if the checkout conversion process in an e-commerce operation is healthy enough to trust demand generation, providing a defensible answer based on evidence and decision rules.

Core Features & Use Cases

Checkout Health Assessment: Evaluates the health of the checkout process by analyzing funnel rates, segment completions, and GA4 funnel data.
Tracking Validation: Ensures the accuracy of tracking data by comparing commerce and GA4 funnels.
Segmentation Analysis: Identifies and isolates issues within specific segments like device, payment method, and country.
Decision Making: Provides recommendations on whether to keep, watch, fix, refresh, or kill checkout elements based on the analysis.

Quick Start

Run the ecom-checkout-health skill with your commerce and GA4 funnel data for the last 7-14 days, along with segment completions and baseline data.

Frequently Asked Questions about ecom-checkout-health

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

FAQPage Schema

How do I evaluate e-commerce checkout conversion health to ensure my demand generation is trustworthy?▼

E-commerce checkout conversion health is evaluated by comparing commerce funnel and GA4 funnel data, segmenting completions by device, payment method, and country, and applying decision rules to provide a defensible health assessment.

Why does my checkout conversion data mismatch between my commerce platform and GA4?▼

Checkout conversion data mismatches occur when commerce and GA4 funnels are misaligned; tracking validation compares these funnels to ensure tracking accuracy and identify where data discrepancies originate.

How do I segment checkout completions to identify which devices, payment methods, or countries have conversion issues?▼

Segment checkout completions by device, payment method, and country to isolate specific issues; segmentation analysis identifies underperforming groups within the commerce funnel data to target for fixes.

Can I use my 7-day commerce and GA4 funnel data to assess checkout health?▼

Yes, you can assess checkout health using commerce and GA4 funnel data for the last 7-14 days, along with segment completions and baseline data, to run the evaluation and generate a defensible assessment.

What decision rules determine whether to keep, fix, or kill checkout elements based on conversion health?▼

Decision rules applied to the analyzed funnel rates and segment completions provide recommendations to keep, watch, fix, refresh, or kill checkout elements based on the defensible conversion health assessment.