Skip to content
Automated · Writes

dataLayer spec generator your agency bills $5k for.

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.

By hand
5–15 hours to scope + document
With the audit
60 seconds
Why it's painful

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.

How the audit handles it
  • Emits 14 GA4-canonical enhanced-ecommerce events (page_view, view_item, add_to_cart, begin_checkout, purchase, and the rest), each with its full parameter schema tagged required vs optional.
  • Generates Custom Event triggers for GTM — one per dataLayer event — with exact Event Name strings ready to paste.
  • Produces platform-specific code snippets wired into real hook points: Shopify Liquid (order status for Plus, Customer Events for non-Plus), WooCommerce woocommerce_thankyou + woocommerce_add_to_cart actions, Magento observers, BigCommerce Stencil templates, Rails ERB, Next.js App Router client effects.
  • Maps each GA4 event to its standard-event counterpart for every marketing app selected — Meta Pixel (ViewContent / AddToCart / Purchase), Google Ads (remarketing + conversion tags), Klaviyo (Viewed Product / Placed Order), TikTok Pixel (CompletePayment), Pinterest Tag (checkout).
  • Calls out the parameter notes vendors actually care about (Meta needs content_ids + value + currency; Pinterest Enhanced Match wants a hashed email on login/purchase; TikTok wants its Events API paired with the browser pixel for dedup).
Real audit checks
Every check below is a real rule in our audit engine — not a marketing bullet.
Enhanced ecommerce schema conformance
Custom event naming consistency
Duplicate GA4 config tags
Data Layer Variable inventory
GA4×GTM event parity cross-check
Sample finding
What a real audit report looks like for this chore.
Optimization

Your stack is missing a documented dataLayer spec

Business impact

Without 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.

Recommendation

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.

Hire a web analyst. Or install one.

dataLayer spec generator is one of 10 high-stakes chores the agent covers end-to-end. Your first audit is free — and the agent keeps watching every night, so the next time datalayer spec generator drifts, you hear it from us before it costs you.