Job Description We're looking for a sharp, senior-level tracking engineer to audit, implement, and future-proof our entire marketing data pipeline — with a focus on clean attribution, strict PII compliance, and reliable event tracking across sessions. We are wanting to transition to server side tagging with client side serving as a backup. We’re a conversion-driven business with both ecommerce flows and lead forms, and we need bulletproof handling of: • GCLIDs (click IDs) • Enhanced Conversions • Data layer parameters • PII-safe implementation • Audience attribution • Key GA4 event tagging (add_to_cart, purchase, generate_lead) • Twilio Segment being ‘source of truth’ of events • Monthly Tracking Audit (post setup) guideline document • General review of Javascript on site (to ensure no conflicts with tracking) • Offline ie CRM conversions You’ll be working directly with the GM and Marketing Manager and devs. We move fast and care deeply about accuracy. Key Objectives: Ensure GCLID is reliably captured, stored, and expired after session timeout using sessionStorage + cookie fallback Prevent stale or ghost GCLID usage across multi-page visits Auto-inject GCLID into hidden form fields for lead attribution (offline conversion upload readiness) Validate and improve Enhanced Conversions setup, ensuring email/phone hashes fire correctly Review and correct GA4 events (e.g. add_to_cart, begin_checkout, purchase, generate_lead) Include standard and custom parameters (e.g., value, currency, items, user_id, content_type) Enforce PII-safe tagging: no names, emails, or phone numbers in GA4 via events or URLs Audit dataLayer pushes: Ensure all events are structured, scoped, and pushed cleanly Align event naming and parameter consistency across GTM and GA4 Configure cookie consent governance, respecting user opt-in/opt-out logic Validate audience list assignment is functioning despite gad=5/missing gclid cases Deliverables: Audit & Architecture Full audit of current GTM, GA4, and dataLayer Clear diagram or doc explaining where attribution breaks down (if it does) GCLID & Session Management JS snippet to capture gclid from URL, store in sessionStorage and cookies Validation logic to avoid garbage gclid Session timeout logic (e.g. 30 mins inactivity = clear sessionStorage gclid) Lead Form Tagging GCLID auto-injected into hidden inputs on form submit Email/phone captured for Enhanced Conversions (hashed only) PII scrubbed from any GA4 events GA4 Ecommerce & Lead Events Confirm or implement: add_to_cart view_item purchase begin_checkout generate_lead Ensure all have proper recommended parameters: value, currency, items, transaction_id, etc. Setup for reliable audience triggering and conversion attribution PII & Cookie Compliance Enforce no PII in GA4 events or GTM dataLayer Implement cookie banner compliance if needed Set and document the setup for cookie expiration, scope, and flags properly (SameSite, Secure, etc.) Enhanced Conversions QA Validate EC setup in GTM Tag Assistant & DebugView confirmation that ECs fire properly Server match rate (if available) verified in Google Ads or Tag Assistant Documentation 1-pager tracking map: who sets what, when, and where it flows Commented code for custom JS and GTM triggers Who This Is For: You’ve run advanced tracking for ecommerce, lead gen, or hybrid sites You know how GA4 and GTM work together — not in silos You can catch PII violations, broken sessions, and stale GCLIDs before they hurt data You’ve worked with auto-tagging quirks, Enhanced Conversions, and gad=5 transitions Bonus: Familiar with server-side GTM, though not required Tech Stack: Webflow (frontend) Xano / Wizard Twilio Segment Stripe Checkout GTM + GA4 Google Ads (Search, PMax) Inspectlet (optional QA layer) ClickUp or Slack for task communication To Apply: Please answer: What’s your preferred method to safely persist gclid across sessions without dirty attribution? What tools or steps do you use to prevent PII from leaking into GA4? Share a sample GTM tag setup (or outline) for a clean add_to_cart event with proper parameters. Budget: Open to hourly or milestone-based — we care more about quality and speed than price.
Keyword: Ad Management
Price: $80.0
Google Tag Manager Marketing Analytics Data Analysis Consultation Google Analytics
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