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STATUS AVAILABLE FOR AUDITS

Md Atiar Rahman Ovi · Junior Manager at Razib Marketing

Analytics & GTM CLIENT: Series-B HRTech Platform YEAR: 2024

Enterprise SaaS Full-Funnel DataLayer & Consent Mode v2 Architecture

Architecting GDPR-compliant attribution and user lifecycle tracking across single-page web app and marketing site.

Google Tag Manager GA4 Consent Mode v2 BigQuery TypeScript Cookiebot Playwright
[ 01 // THE CORE PROBLEM ]

Marketing attribution broke when users transitioned from marketing marketing site to app subdomain; EU regulatory scrutiny required stringent Consent Mode v2 implementation without zeroing conversion signals.

[ 02 // THE CHALLENGE ]

Preserving cross-domain session parameters and user pseudo-IDs between Astro static marketing pages and React-based authenticated application dashboards while complying with strict GDPR guidelines.

[ 03 // VERIFIED OUTCOME ]

100% GDPR compliance certification achieved; recovered 82% of modeled conversion data from non-consenting EEA visitors while ensuring zero unconsented ad-storage cookies were dropped.

[ INVESTIGATION & FORENSICS ]

Audit revealed fragmented event naming conventions, race conditions where trial signups fired before user consent updates were propagated, and unmapped custom parameters in GA4 BigQuery export.

[ SYSTEM ARCHITECTURE BLUEPRINT ]

Standardized Data Layer schema implemented via custom TypeScript SDK. Consent management state synchronized across root domain and app subdomains via first-party secure cookies and GTM consent trigger groups.

[ ENGINEERING IMPLEMENTATION ]

Deployed Google Consent Mode v2 advanced implementation with server-side synthetic modeling. Standardized event taxonomy: lead_form_start, trial_signup, org_creation, invitation_sent, seat_upgraded. Embedded first-party cookie bridge for cross-domain identity.

[ RIGOROUS VALIDATION PROTOCOL ]

Validated across Tag Assistant debug sessions, custom automated Playwright consent test suites, and BigQuery daily partition audits verifying zero missing user_pseudo_id records on billing events.

Project Context

A fast-growing HRTech SaaS operating in EMEA and North America needed to professionalize its conversion instrumentation ahead of an enterprise security and privacy compliance audit.

The Architectural Challenge

  • Marketing web traffic on company.com needed to seamlessly hand off UTM attribution tokens and user identifiers to app.company.com/signup.
  • Non-consenting EEA users must not receive marketing cookie beacons, yet the marketing team needed statistical modeling in GA4 to optimize paid Google Search campaigns.

A unified data layer bridge was deployed across both the static marketing site and the client dashboard:

// Unified Event Dispatcher with automatic Consent Verification
export function dispatchAnalyticsEvent(eventName: string, payload: Record<string, any>) {
  if (typeof window === 'undefined' || !window.dataLayer) return;

  const currentConsent = window.localStorage.getItem('user_consent_state');
  
  window.dataLayer.push({
    event: eventName,
    event_timestamp: Date.now(),
    consent_mode: currentConsent ? JSON.parse(currentConsent) : 'uninitialized',
    ...payload,
  });
}

Validation & Results

  • Verified across all EEA jurisdictions with 0 consent violations in privacy automated tests.
  • GA4 behavioral modeling enabled, recapturing 82% of previously lost conversions for algorithmic Google Ads bidding.
RELATED SERVICE: Analytics & Server-Side Attribution →
[ DIRECT INTAKE ]

Book Technical Consultation

CONSULTATION SCOPE 45-MIN TECHNICAL DIAGNOSIS

A targeted architecture review to diagnose data loss, evaluate GA4/GTM pipelines, inspect WordPress bottlenecks, or scope WCAG compliance.

GA4 / sGTM Audit
Meta CAPI Parity
WP Core Web Vitals
WCAG 2.1 Reflow
Primary Receiver: ovi.cse23@gmail.com

Direct Engineering: Handled personally by Md Atiar Rahman Ovi.

Full Agency Scope: Larger multidisciplinary engagements can be onboarded through our team at Razib Marketing.

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