Shopify store audit: speed, tracking, funnel and unit economics

Why audit a Shopify store with data instead of a checklist?

Most store audits are opinion lists: change the hero image, add trust badges, move reviews higher. Some of that advice is good, but none of it tells you which problem costs the most money on your store.

A data-led audit starts from measurement. It crawls every page, measures speed on the templates that carry revenue, checks whether analytics can be trusted, and reads the funnel and order data. Only then does it recommend changes, ranked by how much they are likely to matter.

The audit is also the right first step before a redesign or replatform, a point covered in more depth in why to audit before a redesign.

What does the automated crawl find?

The crawl runs on URLAudit, the e-commerce auditing platform built by Asabisoft’s founder. It renders every reachable page in a real browser with Playwright, which matters on Shopify because much of a theme’s content is built by JavaScript.

Typical findings include:

• Product and collection links that return 404 after products were archived or handles changed
• Redirect chains left behind by earlier migrations
• Pages that throw JavaScript errors or render a blank section
• HTML and CSS validation problems on specific templates
• Visual issues caught in full-page screenshots

On a large catalog, these issues are rarely visible from the homepage. Crawling every URL is the only reliable way to find them.

How are speed and apps assessed?

We measure the templates that carry the most traffic and revenue against Google’s Core Web Vitals thresholds: Largest Contentful Paint within 2.5 seconds, Interaction to Next Paint at 200 milliseconds or less, and Cumulative Layout Shift at 0.1 or less, judged at the 75th percentile of page loads.

Then we list every installed app and third-party script and measure what each one adds. Apps that were uninstalled but left code in the theme are a common find. The output shows which scripts you can remove, defer or replace, and what each one is doing for you.

What do tracking, funnel and unit economics add?

Technical fixes only matter if they move commercial outcomes, so the audit includes three data checks:

Area	What we check
Tracking	Do GA4 and ad platform purchases match Shopify orders? Where is the gap?
Funnel	Where do sessions drop between product view, cart, checkout and purchase, by device and source?
Unit economics	Average order value, gross margin per order, discount depth, refund rate

Combining them is where the useful findings come from. A slow product page on mobile matters most if mobile is also where checkout drop-off is highest and margin per order is healthy enough to make the recovered sales worth it.

What do I need to provide to start an audit?

Setup is light. The audit needs:

1. Your store URL, and a password if the storefront is locked
2. Collaborator or staff access to the Shopify admin, read-only where possible
3. Viewer access to GA4 and to the ad accounts you spend on
4. Product cost data, or a reasonable estimate of gross margin by category

Nothing is changed on the live store during the audit. The crawl behaves like a visitor, and all analysis runs on read access. If you are mid-migration, we can crawl both the old and the new store and compare them page by page.

Who is this not for?

If you want a conversion copywriting review or a brand and design critique, this is not that. The audit is quantitative: it finds measurable problems and ranks them. It also needs some traffic and order history to say anything meaningful about funnel and economics.

When you are about to spend on a redesign, migration or bigger ad budget and want to know what is actually broken first, an Asabisoft store audit is a good place to start.