GA4 & BigQuery Analytics Consultant for Campaign Measurement
I help marketing, growth, and product teams build analytics systems they can trust. End-to-end server-side tracking (sGTM), custom GA4 schemas, BigQuery data modeling, and attribution dashboards that connect media spend directly to transactional outcomes.
Who This Is For
- Marketing teams looking for a single source of truth for media spend and conversions
- Growth engineering teams needing server-side tracking setups (sGTM)
- Data leaders aiming to feed raw GA4 event streams into BigQuery
- E-commerce brands seeking accurate checkout and purchase attribution
- Agencies running search and social ad campaigns needing precise conversion API signals
- B2B enterprises tracking lead gen channels and lifecycle progression
Problems I Solve
- Mismatched and bloated ad platform reporting numbers
- Missing checkout funnel events and incorrect revenue values in GA4
- Incomplete measurement caused by browser privacy controls, consent constraints, and client-side blocking
- Slow and inefficient BI dashboards reading from raw unoptimized tables
- Lack of user lifecycle tracking across domain transitions
- Broken lead forms or conversion signals that fail silently without alerting
Service Capabilities & Deliverables
Structured components of the analytics setup, tailored to your exact marketing and engineering infrastructure.
Server-Side GTM Setup (sGTM)
Implement server-side containers on Google Cloud Platform, routing consented first-party measurement streams through controlled server endpoints to improve data quality, privacy controls, and measurement resilience.
GA4 Schema Calibration
Define custom event schemas, item arrays, and user properties to map complete customer journeys with exact telemetry specifications.
Google Cloud BigQuery Warehouses
Connect native GA4 export integrations, build SQL schemas, partition tables, and construct optimized views to reduce query costs.
Attribution Transformation Models
Create custom multi-touch attribution tables in SQL, combining UTM parameters and user IDs to understand true conversion drivers.
Google Ads & Meta Conversion APIs (CAPI)
Configure server-side conversion API signals (Meta CAPI, Google Enhanced Conversions) to feed ad platforms high-match-rate signals.
Automated Data QA & Alerting
Deploy validation scripts to verify tracking logs daily, sending automated alerts to Slack or Email when anomalous drops occur.
Proven Analytics Experience
Hands-on analytics integration and campaign attribution engineering for high-growth platforms.
redBus
Campaign Analytics Lead
Designed scale-focused campaign tracking databases. Connected dynamic UTM arrays and transactional identifiers, enabling the marketing department to optimize acquisition budgets across channels, lower average CAC, and monitor customer retention.
GroupM
Ads Data Hub Engineering
Constructed secure marketing SQL workflows in Ads Data Hub. Built attribution data views, extracting campaign attribution variables safely to resolve platform overlap issues while complying with GDPR and CCPA boundaries.
Novartis
Data Warehouse Integration
Normalized patient program schemas, loading data pipelines into secure reporting tables. Enabled analytical modeling workflows for operations leads while maintaining strict regulatory compliance frameworks.
Absolinsoft
Web Attribution & Tagging
Built custom tag templates and data-layer configurations for conversion monitoring. Configured custom analytics frameworks to trace conversion outcomes from paid search channels.
Measurement Technologies Supported
Service FAQs
Common questions about GA4 schemas, BigQuery configurations, and campaign analytics project engagements.
Why do I need a server-side tracking (sGTM) setup?
Client-side tracking is increasingly blocked by browsers, ad blockers, and network controls. Server-side tracking (sGTM) moves the tag execution process to your server, allowing you to route clean first-party data streams to GA4 and ad platforms. This improves data accuracy, page load speeds, and security.
How does the GA4 export to BigQuery help with marketing?
The standard GA4 UI limits your ability to query raw data, perform user-level cohort analysis, or run custom attribution. By exporting to BigQuery, you gain access to raw event logs. This allows you to combine GA4 data with CRM databases, build custom models in SQL, and design dashboards in Looker Studio that don't hit GA4 API quota limits.
Do you configure Conversion APIs for Meta, Google, and TikTok?
Yes. I set up server-side conversion signals (such as Meta Conversions API and Google Enhanced Conversions) via sGTM. I map user identifiers (hashed email, phone) to maximize match rates, leading to more accurate attribution and lower cost-per-acquisition (CPA).
Can you help optimize our Google Cloud BigQuery query costs?
Yes. Raw GA4 exports can quickly become expensive to query if tables are not partitioned and clustered correctly. I optimize schemas, build incremental transformation tables, and design views that limit scanned bytes, significantly reducing monthly GCP analytics costs.
Let's map your customer lifecycle
Send a summary of your tracking needs, current stack, and problems. I will respond with a structured initial proposal within 24 hours.