Purchase events are missing
Orders complete successfully but GA4 or Google Ads records fewer purchases than expected.
Ecommerce Measurement
Connect purchases and revenue to reliable marketing data.
I implement and validate ecommerce events across the store, GA4 and advertising platforms, with attention to transaction IDs, item data, values, currency and duplicate prevention.
When this service is needed
The store has orders, but the measurement layer tells a different story.
Ecommerce tracking depends on the complete checkout and purchase lifecycle. Plugins can be useful, but they do not remove the need to validate the data received by each platform.
Revenue is inconsistent
Tax, shipping, discounts, currency or product values create unexplained differences.
Transactions are duplicated
Thank-you page reloads, browser events or multiple integrations send the same order more than once.
Item data is incomplete
Product IDs, names, categories, quantities or coupon details are missing from ecommerce reporting.
What you receive
A purchase path tested from storefront action to platform receipt.
Ecommerce event map
Review view, add-to-cart, checkout and purchase events against the actual customer journey.
Transaction data validation
Check transaction IDs, value, currency, item arrays and relevant dynamic fields.
Platform conversion setup
Align GA4, Google Ads and Meta destinations without unnecessary duplication.
Reconciliation guidance
Document expected reporting differences and the source used for each business metric.
Implementation process
A controlled path from diagnosis to validated delivery.
- Diagnose the current system
Review the website, platform configuration, data flow, symptoms and the business outcome that needs reliable measurement.
- Define the implementation plan
Document events, goals, values, identifiers, consent behavior, destinations and responsibilities before changing production.
- Build the agreed solution
Implement the approved changes using the website, tag manager, server container, advertising platform or reporting layer as required.
- Validate real behavior
Test normal journeys and edge cases with the platform diagnostics and payload checks appropriate to the stack.
- Document and monitor
Provide a clear handover, known limitations and a post-launch validation window rather than treating publication as the end of QA.
Platforms and systems
Built around your actual stack—not a one-size-fits-all template.
ShopifyWooCommerceGA4 EcommerceGoogle Tag ManagerGoogle AdsMeta PixelMeta CAPIStapeConsent ModeLooker Studio
Questions before starting
Frequently asked questions
No. Different attribution, time zones, consent, identity and reporting rules can create differences. The implementation should make events technically correct and differences understandable.
Yes, subject to the store plan, checkout architecture, customer events setup and the current Shopify implementation options available to the store.
Yes when they are reliable and do not conflict. The audit determines whether a plugin can remain, needs reconfiguration or should be replaced by a controlled implementation.
Item arrays and relevant product fields can be included where the store exposes the required data and the reporting use case justifies it.
Make the purchase signal as useful as the order itself.
Start by comparing the storefront, analytics and advertising paths for one real transaction.