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Generate a complete GA4 enhanced-ecommerce dataLayer spec — events, parameters, GTM triggers, platform code — for Shopify, WooCommerce, Magento, BigCommerce, Rails, or Next.js. No audit required.
Every analytics implementation project starts the same way: somebody has to write the dataLayer spec. Fourteen ecommerce events, fifty-plus parameters, a GTM trigger per event, code snippets for each checkout step, a mapping to every marketing pixel on the site. Agencies quote three to ten thousand dollars for this one document. In-house analysts block for a week gathering requirements. Half the time the spec drifts from the vendor canon — someone camelCases `itemName` instead of `item_name` — and the downstream tags silently miss revenue. This tool produces the same artifact in under a minute, with every event name and parameter lifted straight from GA4 and each vendor's documentation.
GA4-ECM-02Enhanced ecommerce schema conformanceGA4-MSR-09Custom event naming consistencyGTM-TAG-04Duplicate GA4 config tagsGTM-VAR-01Data Layer Variable inventoryCROSS-02GA4×GTM event parity cross-checkWithout a canonical spec, every new tag added to GTM becomes a guess about what fields are available and what they mean. Six months in, nobody remembers whether the purchase event ships tax + shipping separately or rolled into value — so Google Ads reports inflated ROAS while Meta reports accurate. This is the drift that kills multi-channel attribution.
Generate the spec for your platform and marketing apps, drop the init snippet above your GTM container, and paste the platform-specific event snippets into their documented hook points. Then run the full audit to confirm the dataLayer fires correctly end-to-end once it's live.
dataLayer spec generator is one of 6 high-stakes chores the audit covers end-to-end. Your first audit is free, takes 60 seconds, and catches what your setup has been quietly getting wrong.