The 7-Domain Shopify Store Audit: Where Your Money Is Actually Leaking

Forest Liu · Data Marketing Lead for Multiple Companies#shopify#store-audit#health-score#cro

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.”

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:

  1. Each finding is framed as a problem → action → target metric.
  2. Every recommendation carries a confidence level and the reasoning behind it.
  3. You decide: adopt, reject, or mark it done — and the outcome is recorded.
  4. 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.

Note on system details: The iport platform is under active development. Any product features, interfaces, or workflows described in this article reflect the version in use at the time of writing and may differ from the latest release. For the most current capabilities, refer to the official platform documentation.

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.

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