BigQuery Setup & Analytics Services
BigQuery Setup & Analytics
Unlock the full power of your raw data with professional BigQuery setup, GA4 integration, SQL reporting, and data warehouse optimisation.
GA4 to BigQuery Integration
BigQuery Export Setup
SQL Reporting & Analysis
Custom BigQuery Dashboards
Data Warehouse Optimisation
BigQuery Troubleshooting
Unsampled Raw Event Data
Unlimited Data Retention
Cross-Source Data Joins
Cost-Controlled Cloud Setup
Top Rated Plus Agency
98% Job Success
232+ Projects
$100K+ Earned
BigQuery Setup & Analytics
From raw data export to actionable SQL dashboards — we build your BigQuery analytics infrastructure end to end.
GA4 to BigQuery Integration
We configure the native GA4 BigQuery export (daily and intraday streaming) into your Google Cloud project. You get complete, unsampled, raw event-level data with all custom events and parameters, retained indefinitely, queryable with full SQL. We handle project setup, IAM permissions, cost controls, and schema documentation so your team can start querying immediately.
BigQuery Export Setup
We set up your Google Cloud project from scratch: enabling the BigQuery API, configuring billing alerts and budget caps, creating datasets with correct region and retention settings, establishing IAM roles for your team, and connecting your GA4 property. Includes cost estimation for your expected data volume and query patterns so you are never surprised by your monthly bill.
SQL Reporting & Analysis
We build a library of SQL views and queries on your BigQuery GA4 data — session reconstruction, channel attribution, funnel analysis, product performance, cohort retention, and custom KPI calculations. Each query is documented, optimised for cost and performance using partitioning and clustering, and designed to be understood and extended by your analyst team.
Custom BigQuery Dashboards
We build Looker Studio dashboards connected to optimised BigQuery views — giving you the speed and accuracy of pre-aggregated SQL with the accessibility of a visual dashboard. Includes scheduled query setup for daily data refresh and dashboard optimisation for sub-5-second load times. BigQuery-backed dashboards handle millions of rows without sampling or timeouts.
Data Warehouse Optimisation
For existing BigQuery setups experiencing high query costs or slow performance, we audit your schema design, query patterns, and table structures, then implement partitioning, clustering, materialised views, and query rewrites to reduce both costs and latency. Typical outcome: 60-80% reduction in bytes billed and significantly faster dashboard loads.
BigQuery Troubleshooting
If your GA4 BigQuery export is missing events, producing unexpected results, generating surprise billing, or failing silently, we diagnose the root cause and fix it. Common issues include export configuration errors, missing custom parameters, IAM permission problems, schema breaking changes after GA4 updates, and query logic errors causing incorrect attribution. Every engagement includes a written root-cause report.
Portfolio
BigQuery & Data Analytics Work
From GA4 raw data exports to custom SQL reporting pipelines.
Case Study
GA4 Raw Data Export to BigQuery for Advanced Analytics
GA4 Data Export to BigQuery
Case Study
Building a Unified Marketing Data Warehouse in BigQuery
Unified Marketing Data Warehouse in BigQuery
Case Study
Customer Lifetime Value Analysis Using BigQuery and GA4
Customer LTV Analysis with BigQuery and GA4
Worried About Your Budget?
STOP RIGHT NOW!
Take a look at our pricing and packages that will fit your needs and budget.
BigQuery Starter
Basic BigQuery setup with GA4 export
$399
$199
/One Time
- BigQuery Project Setup
- GA4 Data Export Configuration
- Basic SQL Query Templates
- Data Studio Connection
- Cost Control Alerts
- Setup Documentation
BigQuery Professional
Full BigQuery analytics pipeline
$799
$349
/One Time
- GA4 + Google Ads Export
- Custom Data Warehouse Schema
- Advanced SQL Analytics
- Scheduled Queries Setup
- Looker Studio Dashboard
- Data Freshness Monitoring
- User Stitching Queries
- Priority Support
BigQuery Enterprise
Enterprise data lake with multi-source integration
$1,199
$499
/One Time
- Multi-Source Data Integration
- CRM & ERP Data Pipelines
- dbt Transformation Layer
- ML Model Integration
- Real-Time Streaming Setup
- Data Governance Framework
- Custom BI Tool Connection
- Dedicated Data Engineer
Google BigQuery transforms the way data-driven businesses analyse their marketing and product data. While standard GA4 reports offer useful summaries, they apply sampling to large datasets, lock you into predefined dimensions and metrics, and provide only 14 months of data retention. BigQuery removes every one of these limitations — giving you access to your complete, unsampled, raw event-level data with no retention ceiling, queryable with full SQL flexibility.
At Adslytics, our BigQuery Setup & Analytics service takes businesses from zero to a fully operational data warehouse built on their own Google Cloud project. We configure the GA4 to BigQuery export that streams every event — including all custom events and parameters — into your BigQuery dataset in near real-time, establish correct project and dataset permissions, set up cost controls to prevent unexpected billing, and design the table partitioning and clustering strategies that make your queries fast and cost-efficient.
Once your data is flowing into BigQuery, the analytical possibilities are transformative. We build SQL views and queries that answer the business questions your standard GA4 reports cannot: multi-touch attribution analysis across the complete user journey, cohort retention queries that track user behaviour across months, revenue attribution by custom dimensions like subscription plan or account type, and cross-channel ROAS calculations that combine GA4 event data with your CRM and ad spend data in a single query.
For businesses with data beyond GA4 — CRM exports, Shopify order data, Google Ads spend logs, offline sales records — BigQuery is the unified warehouse where all of these sources are joined and analysed together. We design the data ingestion pipelines that bring your business data into BigQuery alongside your analytics data, creating a single source of truth for your entire organisation.
Whether you are just beginning to explore BigQuery or need an experienced team to build out a production-grade analytics infrastructure, Adslytics provides the BigQuery expertise to make your data work harder for your business.
Got Questions?
Frequently Asked Questions
Google BigQuery is a serverless, highly scalable cloud data warehouse. When connected to GA4, it receives a continuous export of all your raw, unsampled event data — every event, every parameter, every user property. Unlike standard GA4 reports (which apply sampling to large date ranges and limit you to predefined dimensions), BigQuery lets you query your complete data with full SQL flexibility, join it with other data sources, and retain it indefinitely.
GA4's BigQuery export sends a daily export of the previous day's events, plus an optional intraday streaming export for near real-time data. Each day's data lands in a date-sharded table (events_YYYYMMDD) in your BigQuery dataset. Every event row contains the event name, all event parameters, user properties, device info, geo data, traffic source attribution, and ecommerce item data. We configure both the daily and intraday exports and set up the correct schema for your queries.
BigQuery pricing has two components: storage (approximately $0.02 per GB per month) and query processing ($5 per TB scanned, or free under the 1 TB/month free tier). For most mid-size businesses, monthly BigQuery costs are $20–$100. We set up cost controls — query cost estimations, per-user limits, and dataset partitioning — so you are never hit with unexpected bills from runaway queries.
BigQuery uses standard SQL, which most analysts and data teams are familiar with. However, GA4's BigQuery schema has some unique characteristics — particularly the UNNEST() function required to access event parameters stored in repeated record arrays. We provide query templates covering common use cases (session reconstruction, funnel analysis, channel attribution) so your team can start analysing data immediately without having to learn GA4's schema from scratch.
Yes. BigQuery is natively supported as a data source in Looker Studio (free), Tableau, Power BI, Metabase, Grafana, and virtually every modern BI tool. We set up the BigQuery to Looker Studio connection and build optimised SQL views that act as clean, pre-aggregated data sources for your dashboards — so your dashboards run fast and your BI tool is not scanning raw event tables on every load.
BigQuery retains data indefinitely — you pay storage costs but there is no automatic deletion. This is a major advantage over GA4's standard interface, which only provides 14 months of historical data. Once your BigQuery export is set up, all future data is retained permanently. Historical data from before the export was configured is not available retroactively (GA4 does not backfill historical data into BigQuery).
BigQuery charges based on the amount of data scanned by each query. Without partitioning, every query scans your entire dataset — which becomes very expensive as your data grows. Partitioned tables (partitioned by date, which GA4 exports use by default) allow queries filtered by date range to scan only the relevant partitions, dramatically reducing both cost and query time. We add clustering on top of partitioning to further reduce scan costs for common filter patterns.
Yes — this is one of BigQuery's most powerful use cases. You can load CRM data (customer lifetime value, deal status, account tier), ad spend data (Google Ads, Meta, TikTok spend by campaign), Shopify or WooCommerce order data, and offline sales records into BigQuery alongside your GA4 data, then JOIN them in SQL queries to build attribution models, ROAS calculations, and customer value analyses that no single platform can produce alone.
BigQuery ML allows you to build and run machine learning models using SQL directly in BigQuery — without needing to export data to Python or a separate ML platform. Common applications include customer churn prediction, propensity scoring (likelihood to purchase), audience segmentation, and anomaly detection. We can build basic BigQuery ML models for clients ready to move beyond descriptive analytics into predictive intelligence.
Common causes of missing BigQuery data include: the export was only recently enabled (data is not backfilled), the intraday table not yet being available for today's data, events being filtered by GA4 data filters before export, custom parameters exceeding GA4's parameter limits and being dropped, or the BigQuery export having been accidentally disabled. Our BigQuery troubleshooting service diagnoses your specific issue and resolves it with a clear explanation of root cause.
Trusted by Businesses Worldwide
What Our Clients Say
Real results from businesses who trust Adslytics with their analytics.
"Adslytics did a great job with our GA4 analysis and report. They were able to put complex analytics data into a very understandable document for our client. Highly recommend!"
Eric H.
Digital Agency Owner
"The team was quick with responses, very knowledgeable about issues, and helpful throughout the process. I appreciated their work habits and would hire Adslytics again."
Nick T.
Marketing Manager
"Adslytics is a very professional agency that managed our project successfully. They delivered exactly what was promised and I will definitely hire them again in the future!"
Hady M.
E-commerce Business Owner
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BigQuery Setup & Analytics — Done Right
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All Services
All BigQuery Setup & Analytics Services
Explore our complete range of specialised sub-services. Click any to learn more.
GA4 to BigQuery Export Setup
Google Ads BigQuery Data Transfer Setup
Meta Ads Data Integration with BigQuery
Ecommerce Data Warehouse in BigQuery
BigQuery SQL Dashboard Development
BigQuery Multi-Touch Attribution Model
Customer Lifetime Value Analysis in BigQuery
BigQuery Funnel Analysis for Ecommerce
BigQuery Cohort and Retention Analysis
BigQuery Data Pipeline Setup
Shopify BigQuery Integration
BigQuery Cost Optimisation
CRM Data Integration with BigQuery
BigQuery to Looker Studio Connection
Google Cloud Project Setup for BigQuery
BigQuery Session and User Behaviour Analysis
SaaS Product Metrics in BigQuery
B2B Lead Analytics in BigQuery
BigQuery Analytics Event Schema Design
BigQuery Training and Team Onboarding
Excel/Sheets Analytics Migration to BigQuery
BigQuery Reporting Automation
GA4 BigQuery Exploration Query Library
BigQuery User Audience Segmentation
BigQuery Conversion Path Analysis
BigQuery Inventory and Demand Analytics
BigQuery Anomaly Detection and Alerting
BigQuery Monthly Analytics Reporting Service
Facebook Ads BigQuery Integration
TikTok Ads BigQuery Integration
LinkedIn Ads BigQuery Integration
CRM + Marketing Attribution in BigQuery
Subscription Churn Analysis in BigQuery
BigQuery Data Warehouse Architecture Design
Product Analytics Data Warehouse in BigQuery
Email Marketing Analytics in BigQuery
dbt Project Setup on BigQuery
BigQuery Data Pipeline Monitoring
Real-Time BigQuery Dashboard Setup
Marketing Data Lakehouse on BigQuery
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