Shopify reports one figure, GA4 another, and your ad platforms claim more than both. A runtime audit reconciles them - order by order, event by event - so you know which number to trust.
Built for stores that buy traffic and need the measurement to hold up when budgets get questioned.
None of the three systems is lying. They count different things, at different moments, under different rules - and every gap between them is a specific, findable defect in the pipeline.
Ad blockers, Safari's tracking prevention, iOS privacy prompts, and consent banners silently remove a slice of your purchasers from every browser-side pixel - GA4 included. The slice is store-specific, and until it is measured, every downstream number inherits it.
Checkout redirects, upsell apps, subscription flows, and headless storefronts each add a place where the purchase event can fire twice, fire with the wrong value, or never fire. Most stores have never reconciled events against the order ledger.
Ad platforms grade their own homework: view-through windows, modeled conversions, and platform-side attribution each inflate the claim. GA4 applies its own model. Nobody reconciles to actual orders - unless you make them.
Net effect: budget decisions ride on whichever dashboard the loudest person trusts. The fix is not another dashboard - it is a documented reconciliation of what each system received, order by order.
Every store team asks these. The honest answer is the same each time: it depends on your configuration - and the audit is how you find out what your configuration actually does.
It depends on consent, blockers, checkout type, and where the GA4 purchase tag actually fires. The gap has a store-specific anatomy - measure it once and it stops being a mystery.
It depends on your attribution windows and whether platform claims are ever checked against orders. Overlap - two platforms claiming the same order - is the norm, not the exception.
It depends on how much the browser is currently losing for you. Server-side and Conversions API setups recover real signal - and misconfigured ones double-count instead.
It depends on what feeds it. A ROAS number built on unreconciled platform claims compounds every error upstream of it.
The engagement produces a single artifact: a documented record of what your store's tracking actually does - and a reconciliation your finance and media teams can both sign.
Every script, pixel, and app-injected tag on the storefront and checkout, catalogued by vendor, trigger, and page context.
Test orders traced end to end: does the purchase event fire once, with the right value, currency, and order id - on every checkout path you have.
Shopify orders vs GA4 purchases vs platform-claimed conversions over a sample window - counted, matched, and the gaps attributed to causes.
What your Conversions API and server-side setup sends, whether it deduplicates against the browser, and what it recovers.
Findings ranked by revenue impact, so engineering and media fix what moves the numbers first.
Read-only. The audit runs on your live store with runtime capture and traced test orders - no theme edits, no app installs, no downtime.
Webclat Goods is a live demo storefront whose real product is the tracking layer: every event it fires is published in a live inspector, and the same order is traceable from the browser into two independent warehouses.
That is the standard the audit holds your store to - not a slide deck's standard, a working system's.
Checkout extensibility, app-injected pixels, and upsell flows - the places purchase events quietly break.
Web, marketplaces, and retail media each report their own truth; the reconciliation has to live outside all of them.
Custom checkouts mean custom tracking - and nobody has audited it since the build team shipped.
Long carts, quote flows, and offline closes - conversion tracking that was designed for DTC and never adapted.
Ten problems ecommerce teams actually describe out loud, not the technical name for the fix - what changes once each one is handled.
Every ad platform claims more sales than you shipped. Reconcile the claims against your real orders.
Read the use case →Two systems, two revenue totals, one Monday argument. Find out where the gap comes from.
Read the use case →Every platform takes credit for the same sale. Get a channel picture built from your own orders.
Read the use case →Your revenue chart has a hole in it. Find the exact point purchases go missing.
Read the use case →Working references for ecommerce teams - the measurement problems every store hits, diagnosed the way we diagnose them in an audit.
Event integrity, purchase accuracy against the orders table, and the settings that silently corrupt reporting.
Read the guide →What a server container and the conversions APIs actually fix, what they cannot, and the data layer work that decides it.
Read the guide →The five places purchase events die, in diagnosis order, and why Shopify and GA4 never fully agree.
Read the guide →Why every platform over-claims, what ROAS can actually tell you, and the triangulation posture that works now.
Read the guide →AI agents are completing purchases on your site right now, and most of that revenue never reaches your dashboard. Three field guides on measuring it honestly, cross-linked to the working glass-box exhibit at store.webclat.com.
A defensible model for crediting revenue an AI agent completed, and the structural reason GA4 cannot report it, even server-side.
Read the guide →Plain-English rundown of what that means for your reported sales and what a dashboard misses.
Read the guide →What the Adobe and Shopify 2026 figures actually support, and where the reasoning stops and a genuine unknown starts.
Read the guide →Eight specific Shopify/GA4/GTM/Meta Pixel problems, each with a quick answer, the mechanism behind it, and how to verify the fix actually worked.
Checkout Extensibility removed the field it lived in. Rebuild it as a Web Pixels API pixel.
Read the fix →It's firing a pixel ID already configured elsewhere in the admin. Find every source and pick one.
Read the fix →Two different instruments, not a broken integration. What gap is normal, and what isn't.
Read the fix →Cookies don't cross domains. Here's how to carry the GA4 client id across on purpose.
Read the fix →Read-only runtime capture and traced test orders on your live store - no theme changes, no downtime, and a findings document both finance and media can sign.