Platform Service

BigQuery Marketing Data Warehouse — One Source of Truth for Marketing & BI

Your marketing data is scattered across GA4, Google Ads, Meta, your CRM, and your revenue platform. We bring it all into BigQuery — a centralized data warehouse where you can query everything together, build custom attribution models, and power BI dashboards that reflect your full business picture.

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Service Scope

What's Included in BigQuery Services

Data Warehouse Architecture

Design a scalable BigQuery data model built around your business — defining how marketing, revenue, and behavioral data is structured, partitioned, and joined for fast, reliable querying.

Multi-Source Data Ingestion

Connect GA4, Google Ads, Meta Ads, LinkedIn, CRM platforms (HubSpot, Salesforce), ecommerce systems, and custom data sources into a single unified warehouse.

Custom SQL Data Models

Build reusable SQL views and transformation layers for sessions, conversions, channel attribution, customer LTV, and funnel analysis — logic tailored to your business, not a platform's defaults.

BigQuery + Looker Studio Integration

Connect your BigQuery data models directly to Looker Studio for live marketing and BI dashboards — no manual exports, no stale spreadsheets.

Cross-Channel Attribution Modeling

Join paid media spend, web analytics events, and CRM conversion data in BigQuery to build attribution models that go far beyond last-click — giving you an accurate view of what's actually driving results.

Scheduled Queries & Automation

Automate data transformations and aggregations with BigQuery Scheduled Queries so your reporting tables are always fresh without manual intervention.

GA4 BigQuery Export Setup

Enable and configure the GA4 raw event export — daily and streaming — giving you unsampled, event-level web analytics data as one layer of your broader marketing warehouse.

Cost Optimisation

Audit your existing BigQuery setup for expensive queries, unnecessary full-table scans, and inefficient schemas — then fix them to keep your monthly bill low as data volume scales.

What You Gain

What a Marketing Data Warehouse Unlocks

Governance
One controlled, documented data environment — no more conflicting numbers from disconnected platform reports
Centralization
GA4, Google Ads, Meta, CRM, and revenue data all in one place — queryable together with a single SQL query
Integration
Connect your data warehouse to Looker Studio, Tableau, or any BI tool your team already relies on
Our Process

How We Build Your BigQuery Data Warehouse

1

Audit & Data Source Mapping

Inventory all your marketing data sources — ad platforms, analytics, CRM, revenue — and define what needs to flow into BigQuery and how it should be modeled.

2

Warehouse Setup & Ingestion

Configure the Google Cloud project, set IAM permissions, and connect each data source — GA4 export, paid media APIs, CRM exports, and any custom pipelines required.

3

Data Modeling & SQL Layer

Design partitioned tables, build transformation views, and document the data model so your team and BI tools can query it confidently and consistently.

4

BI Dashboard & Handover

Connect BigQuery to Looker Studio (or your preferred BI tool), validate dashboard accuracy against source data, and hand over with full documentation and a live walkthrough.

Why This Matters

Marketing Data Problems We Solve

  • No unified view of performance across paid channels, web, and CRM
  • Reporting stuck in platform silos — Google Ads, Meta, and GA4 all telling different stories
  • Last-click attribution hiding where budget is actually working
  • BI dashboards pulling from spreadsheets instead of live data pipelines
  • Sampled or limited platform reports giving unreliable performance data
  • No way to connect ad spend to downstream revenue or CRM outcomes
  • Skyrocketing BigQuery costs from unoptimised queries and schemas
  • Data retention gaps and no long-term historical marketing dataset
FAQ

BigQuery for Marketing — Frequently Asked Questions

BigQuery is Google's fully managed, serverless cloud data warehouse. Marketing teams use it to centralize data from GA4, Google Ads, Meta, CRM platforms, and revenue systems into one place — then run custom SQL to build attribution models, BI dashboards, and cross-channel performance reports that no single platform can produce on its own.
We connect GA4 (raw event export), Google Ads, Meta Ads, LinkedIn Ads, CRM platforms like HubSpot and Salesforce, ecommerce data from Shopify or WooCommerce, and custom internal data sources via API or CSV pipeline. The goal is always a single warehouse where all your marketing and revenue data lives and can be queried together.
BigQuery integrates natively with Looker Studio and connects to Tableau, Power BI, and other BI tools via standard connectors. We typically build the data model in BigQuery and connect Looker Studio on top for marketing dashboards — but we can support any reporting layer your team already uses.
BigQuery is very cost-effective for most marketing workloads. Storage is roughly $0.02 USD/GB/month and query costs depend on data scanned. Most clients running standard marketing analytics workloads spend $10–$100 USD/month. We optimise your schema, use partitioning and clustering, and build materialised views to keep costs low as your data grows.
Not when you work with us. We handle the full technical setup — Google Cloud project configuration, data source connections, schema design, SQL transformation layers, partitioning, and BI tool integration — so your team gets enterprise-grade data infrastructure without needing in-house engineering resources.
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Need BigQuery set up for a client under your brand? We partner with agencies.

Ready to Build Your Marketing Data Warehouse?

Let's centralize your marketing data in BigQuery and build reporting that gives you a complete, accurate picture — across every channel and data source.

Build My Data Warehouse All Services