From "View Item" to "Purchase." We implement advanced E-commerce data layers on Shopify, WooCommerce, and Magento to visualize your shopping funnel and match revenue 1:1.
Audit My Revenue Data
We go beyond basic pageviews. We configure the complete GA4 E-commerce event suite: View Item List, Select Item, View Item, Add to Cart, Begin Checkout, and Purchase.
This allows you to build "Shopping Behavior" funnels to see exactly where customers are abandoning their cart.
Standard plugins are often inaccurate. We code custom Data Layers that push precise Product IDs (SKUs), Categories, and Variant names to GTM.
We ensure your "Product ID" in analytics matches your "Content ID" in Facebook Ads for perfect Dynamic Retargeting.
Revenue is vanity; profit is sanity. We help you implement custom dimensions to track "Cost of Goods Sold" (COGS) and "Gross Margin" alongside revenue.
This enables you to calculate the true POAS (Profit on Ad Spend) of your marketing campaigns.
For subscription brands (Recharge, Bold), standard tracking fails after the first order. We implement server-side listeners to track recurring orders.
This gives you visibility into Customer Lifetime Value (LTV) and Churn Rates inside your analytics tools.
Do you lose tracking when users pay via PayPal or go to a third-party checkout? We fix "Referral Exclusion" issues.
We ensure the session stays intact so the sale is attributed to the original marketing source (e.g., Google Ads), not "paypal.com".
Sales data is often inflated because refunds aren't deducted. We automate the tracking of full and partial refunds.
This ensures your reporting reflects "Net Sales" rather than just "Gross Sales," providing a realistic view of performance.
Tracking an online store is significantly harder than a lead gen site. You aren't just tracking a 'Thank You' page; you are tracking dynamic arrays of products, currencies, and tax.<br><br>Common pitfalls we solve:<ul><li><strong>Currency Conversion:</strong> Handling multi-currency stores correctly so analytics doesn't mix USD and EUR as the same number.</li><li><strong>Duplicate Transactions:</strong> Preventing the 'Purchase' tag from firing twice if the user reloads the confirmation page.</li><li><strong>Variant Tracking:</strong> Knowing specifically that the 'Blue / XL' shirt is selling, not just the generic shirt.</li><li><strong>Promo Codes:</strong> Tracking which coupons are being used and how they affect your margins.</li></ul>
The most valuable report in E-commerce is the Checkout Funnel. If you know that 50% of users `Add to Cart` but only 10% `Begin Checkout`, you know you have a cart drawer issue. If they `Begin Checkout` but don't `Purchase`, you have a payment or shipping cost issue. Without granular tracking events, these insights are invisible.
Ensure the `item_id` passed to GA4 matches the `Content ID` passed to Facebook/TikTok exactly. A mismatch breaks dynamic retargeting.
Use static values for Product Categories (e.g., "Men > Shoes") rather than dynamic collections to keep reporting clean.
Always strip currency symbols (like $) from the revenue value in the Data Layer. Analytics tools expect raw numbers (e.g., `50.00`, not `$50.00`).
Pass `tax` and `shipping` as separate parameters to distinguish Product Revenue from Total Revenue.
Add payment gateways (paypal.com, shop.app, affirm.com) to the "Unwanted Referrals" list in GA4 to prevent them from stealing credit for the sale.
Implement "User ID" tracking. If a user logs in on mobile and buys on desktop, stitch those sessions together for accurate attribution.
For "Headless" commerce setups, ensure the GTM container persists correctly between the front-end (e.g., Next.js) and the checkout domain.
Use server-side cookies to extend cookie lifetime, helping attribute sales that happen 7+ days after the ad click.
Perform test transactions regularly. Use the "GA4 DebugView" to watch the `purchase` event come in real-time with all items attached.
Compare Analytics revenue to Backend (Shopify) revenue monthly. A 5-10% discrepancy is normal; anything higher indicates a tracking failure.
Monitor "Add to Cart Rate" vs "Purchase Rate." A sudden drop in this ratio usually indicates a technical bug in the checkout flow.
Check for "Not Set" in landing page reports, which often indicates GTM is loading too late on the page.
We speak Liquid (Shopify) and PHP (WooCommerce). We don't just install apps; we edit the theme code to insert data layers securely without slowing down the site.
We strive for a 95-99% match rate between your backend sales and your analytics. We hunt down every discrepancy until the numbers trustable.
We connect the dots between your Inventory, your Ads, and your Analytics. We ensure that when an item goes out of stock, your ads stop spending automatically.
