The 7-Domain Shopify Store Audit: Where Your Money Is Actually Leaking
Summary
A seven-domain audit — abandonment, payments, retention & LTV, country performance, catalog health, sales trends, discounts & channels — replaces a vague conversion number with red / yellow / green health scores, each alert carrying the metric value and the threshold that fired it, and outputs a prioritized, tracked fix list.
Quick answer
Audit the store across seven domains — abandonment, payments, retention & LTV, country performance, catalog health, sales trends, discounts & channels. Score each red / yellow / green with the metric value and threshold behind every alert, then turn findings into a prioritized fix list with confidence levels and recorded outcomes.
Most Shopify owners look at the same dashboard every day: revenue, orders, sessions. But the dashboard never tells you where the leaks are. This article explains how a seven-domain store audit works — the health areas we check, why each one matters, and how the result turns into a prioritized action list instead of a vague “improve conversion.â€
The seven domains
- Abandonment — who added to cart or started checkout but never finished, and how much revenue is lost to it.
- Payments — transaction failures and declines that silently kill orders at the last step.
- Retention & LTV — repeat purchase rate, lifetime value, and cohort behavior that show whether customers come back.
- Country performance — how each market converts and where to focus.
- Catalog health — unsellable products, negative stock, missing SEO fields and bad pricing presentation.
- Sales trends — weekly momentum and swings that separate seasonal noise from real decline.
- Discounts & channels — what promotions actually cost and which channels earn their keep.
Health scores instead of raw numbers
Each domain gets a red / yellow / green health status, generated from its own metrics and thresholds. Instead of “your abandonment rate is 62%†floating without context, you get a green flag — this is fine — or a red flag with the specific trigger. Every alert carries the metric value and the threshold that fired it, so nothing is a black box.
From findings to actions
An audit that only produces a report is a report. The useful output is a prioritized fix list:
- Each finding is framed as a problem → action → target metric.
- Every recommendation carries a confidence level and the reasoning behind it.
- You decide: adopt, reject, or mark it done — and the outcome is recorded.
- Results feed back into the next round, so the store keeps getting sharper over time.
This turns the audit from a one-time health check into a compounding decision history — you always know which fixes worked and which did not.
Why seven domains beat one conversion number
Conversion rate is a symptom, not a diagnosis. Two stores can both have a 2% conversion rate with completely different problems — one bleeding to cart abandonment, the other to payment failures. The seven-domain view separates those realities, so your energy goes to the domain that is actually red.
The takeaway
A good store audit tells you where the money is leaking, not just how much you make. With health scores per domain and a prioritized, tracked fix list, you stop guessing which problem to solve first — you fix the red lights, in order, and verify the outcome.
Frequently asked questions
What are the seven domains of a store audit?
Abandonment (carts started but never finished), payments (transaction failures and declines), retention & LTV (repeat purchases and cohort behavior), country performance, catalog health (unsellable products, negative stock, missing SEO fields), sales trends, and discounts & channels.
Why health scores instead of raw numbers?
A raw number like “your abandonment rate is 62%” floats without context. Each domain gets a red / yellow / green status generated from its own metrics and thresholds, and every alert carries the metric value and the threshold that fired it, so nothing is a black box.
Why do seven domains beat one conversion number?
Conversion rate is a symptom, not a diagnosis. Two stores can both have a 2% conversion rate with completely different problems — one bleeding to cart abandonment, the other to payment failures. The seven-domain view separates those realities so your energy goes to the domain that is actually red.