Google Analytics 4 logo GOOGLE ANALYTICS 4 BigQuery logo BIGQUERY

Connect Google Analytics 4 to BigQuery .
100% no-code.

The AI-native connector for marketers, not engineers.

  • ✓

    Prompt your queries and custom fields in natural language

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    Auto-blend Google Analytics 4 with 20+ sources

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    Create, preview, and publish in 15 minutes

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    14-day free trial + free-forever plan

Book a demo

We’ll set up your first sync, free

14-day free trial

No credit card required

1,500+ marketing teams and agencies

Connect Google Analytics 4 to Google BigQuery

How It Works

1

Export Google Analytics 4 to BigQuery—or anywhere

Under one subscription, send Google Analytics 4 data to BigQuery, Looker Studio, Google Sheets, Slack, or Zapier. Build dashboards, reports, alerts, notifications, and AI workflows.

Select data sources interface
2

Connect multiple data sources

Select from 22 data sources: Google Ads, GA4, LinkedIn Ads, TikTok Ads, HubSpot, and more. Porter maps UTMs, campaign names, and performance metrics across channels automatically. No SQL joins.

Connect multiple data sources dashboard
3

Consolidate multiple Google Analytics 4 accounts

Connect multiple GA4 properties across different accounts. Consolidate dozens of accounts across brands, regions, or clients into one BigQuery table. Built for agencies and enterprise teams at scale.

Select multiple Google Analytics 4 accounts interface
4

Manage your data sources

Name, duplicate, delete connections, accounts, queries, and custom fields to manage multiple clients, brands, campaigns, or regions.

Manage data sources dashboard
5

Three ways to connect to BigQuery

  • Google login: Sign in with Google and Porter auto-lists your BigQuery Project IDs. Select project, dataset location (US, EU, US-Central), name your dataset and table.

  • Service account (JSON): Upload your credentials. No Workspace admin approval needed.

  • New to BigQuery? Set up your first project automatically—no Google Cloud console, no billing, no technical setup. Create your report in Looker Studio directly.

BigQuery connection options interface
6

Build your query with AI in natural language

The AI-native query builder. Describe what you need. No SQL, no complex forms.

  • Cross-channel fields: Select metrics and dimensions from Google Analytics 4 and any data source. No data mapping or joins needed.

  • Custom fields: Use AI prompts to create custom metrics (e.g., blended ROAS, cost per lead) and dimensions (e.g., brand, region, creative hook). Segment data using naming conventions from campaigns, ad sets, or ads.

  • Filters: Include or exclude by any field. Combine with AND/OR logic.

  • Date ranges: Dynamic (Month-to-date, Last quarter) or fixed (custom start and end).

  • Schedule: Prompt refreshes like “Every day at 5am except weekends.” Freely schedule by hour, day, week, weekday, or month.

  • Refresh mode: Append (add rows), Update (match and refresh), or Overwrite (replace table).

  • Live preview: Preview your data before syncing to BigQuery. Catch errors before they cost you.

AI query builder interface with custom fields
7

Scale data refreshes in natural language

Schedule refreshes in minutes, not hours. Real-time API data or stored BigQuery data—switch between both in the same connection. Refresh as frequently as Google’s API allows. If you hit Meta’s rate limits, Porter automatically switches to BigQuery backups. Never blocked from accessing your data.

Schedule data refreshes interface in natural language
8

Monitor every Google Analytics 4 sync to BigQuery

Track all queries in the Query Manager: name, data sources, last run at a glance. Open execution history—timestamp, success or failure. Toggle pipelines on/off anytime. Fix issues before they reach your reports, team, or clients.

Query monitoring dashboard for Google Analytics 4 syncs

Why Marketers Choose Porter

Area
Other marketing ETL tools
Porter Metrics
Integrations
300+ general purpose
22 focused: Ads, CRM, Social, GA4, Commerce
Setup
Separate screens for queries, tables, joins, schemas, transfers
One flow: connect → prompt → preview → publish
Data model
Export raw datasets. Transform in BigQuery after.
Export finished queries. Connect table to report. Done.
No-code
No-code transfer, but SQL required in BigQuery to transform, join, or filter.
No-code from source to report. Zero SQL, zero BigQuery management.
Custom fields
Formula builders, functions, lookups, conditions
Prompt any metric or dimension in natural language
Data blending
SQL joins or configure data mapping
Auto-mapped: UTMs, campaign names, metrics
Scheduling
Fixed intervals. Faster rates on higher tiers.
Natural language. Any rate, any plan.
BigQuery auth
Google login or service account. Manual setup.
Google login, service account, or auto-create project
Refresh frequency
Hourly or daily depending on tier
Minutes. Real-time or storage.
Best for
Teams with devs, analysts, or ETL infrastructure
Marketers with no dev support

What Google Analytics 4 Data Can You Export

Access over 250 fields from Google Analytics 4 plus extra calculated metrics. Your data matches Ads Manager exactly.

+250 fields

Access every field available in Google Analytics 4 Manager—over 800 in total—plus extra calculated metrics like conversion rate, hold rate, and hook rate that aren’t offered natively.

See all Google Analytics 4 fields documentation

All aggregations

Retrieve every conversion variant with full aggregation options: unique, mobile, offline, and web. For example: purchases, offline purchases, web purchases, and unique purchases.

Ad previews and creatives

Along with performance metrics, Porter retrieves links to ad previews and the actual creative assets (images, videos, text). Connect reporting directly with creative analysis.

Full granularity

Segment data by campaign, ad set, creative, audience, placement, platform, device, region, delivery status, hour, date, week, and every other breakdown supported by Meta.

All attribution windows

Get every attribution window supported by Meta—1-day click, 7-day click, 28-day click, 1-day view, and combinations—within a single connection. Compare attribution models side by side.

Marketer-friendly naming

Fields named exactly as in Ads Manager. Campaigns, ad sets, and ads are familiar to marketers. Standardized for blending with PPC platforms, GA4, and CRM data.

Unlimited historical data

Access your entire Google Analytics 4 history without limitations. Porter stores all your historical data for trends and performance analysis over any time period.

Transparent accuracy

Your data matches Ads Manager exactly. Porter doesn’t manipulate or transform your data—what you see is exactly what Meta reports.

Revenue

Total Revenue
Purchase Revenue
Tax
Shipping
Refund Value
LTV
Item Revenue

Conversions

Key Events
Conversion Rate
Session Conv Rate
User Conv Rate
Transactions
First Purchase
Lead Conv

Engagement

Engaged Sessions
Engagement Rate
Sessions
Page Views
Avg. Session Duration
Scroll Depth
Active Users

Visibility

New Users
Total Users
Sessions per User
Bounce Rate
Event Count
Screen Views
Item Views

Campaign

Campaign Name
Source
Medium
Campaign ID
Session Source
Default Channel Group
Ad Group

Creative

Page Title
Page Path
Content ID
Event Name
Screen Class
Asset Name
Promo Name

Audience

Country
City
Device Category
Browser
Operating System
Language
User ID

Time

Date
Date Hour
Minute
Nth Day
Day of Year
Week
Month

Custom

Property ID
Stream ID
User Property
Custom Dimension
Custom Metric
Attribution Model
Session ID
See all fields

Complete field documentation

Why Marketers Move Google Analytics 4 Data to BigQuery

Faster Looker Studio reports

Direct connectors take 10+ seconds to load, time out, and break. BigQuery loads in 2 seconds, every time. No more broken dashboards before client calls.

Data blending

Combine Google Analytics 4 with CRM, GA4, Shopify, Google Ads in one warehouse. Measure real profit, not platform ROAS. Calculate blended CAC across all channels.

Connect BigQuery to any BI tool

Connect to Looker Studio for instant dashboards. Or plug into Power BI, Tableau, any BI tool. Unlock multi-touch attribution with raw GA4 data.

Multi-touch attribution

Join Google Analytics 4 with raw GA4 event data. Trace the full user path from ad click to conversion.

Source of truth

Define what “conversion” means for your company. Compare Meta vs. GA4 vs. HubSpot. Pick one source for CAC, ROAS, and CPA. End the “which number is right” debate.

Company-wide access without platform permissions

Managing permissions across platforms is a pain. With BigQuery, anyone can access marketing data without accounts or roles in each platform. One permission model, all data.

Make data available for AI

AI needs clean, structured data with context. Every AI tool feels siloed. Integrating sources is complicated. With BigQuery as your universal warehouse, any AI tool can access your marketing data. No custom integrations. No complicated setup.

Scale across accounts, clients, and brands

Reports break when you connect too many accounts. BigQuery has no limits. Agencies with dozens of clients, franchises with dozens of Google Analytics 4 accounts, chains with multiple brands and locations—consolidate everything into one table. One report, one connection.

Google Analytics 4 Templates for BigQuery + Looker Studio

Porter has the most complete Looker Studio template gallery for Google Analytics 4 .

All Looker Studio templates are compatible with BigQuery tables created in Porter.

Gallery URL

Gallery URL

Get this template for free

Attribution dashboard

Attribution dashboard

Get this template for free

GA4 dashbaord

GA4 dashbaord

Get this template for free

Acquisition report

Acquisition report

Get this template for free

Audience report

Audience report

Get this template for free

Content performance

Content performance

Get this template for free

Testimonials

Frequently Asked Questions

How does the free trial work? +

Full proof of concept. Includes tool access, support, and migration assistance. No day limit—ends when you validate Porter meets your needs.

How much does Porter cost? +

Start with a 14-day free trial with full access. Free-forever plan available: up to 3 ad accounts, unlimited reports, 30-day historical data. For larger implementations, pricing starts at $500-$1,000/month based on support needed. Get a quote on a call.

Can I cancel anytime? +

Yes. Monthly or annual billing (2 months free with annual). Cancel anytime, no paperwork, immediate cancellation.

How much does BigQuery cost? +

Most clients operate within Google’s free tier. High-volume clients: $20-$30/month. See Google BigQuery pricing for details.

Can I use my own BigQuery or does Porter manage it? +

Both. Use your own project or Porter manages one for you. Your data is always yours.

How fresh is the data? +

Automatic refresh every 12 hours by default. Configurable to hours or minutes depending on Google’s API limits. Direct API access available for real-time data.

Are there limits on rows, queries, or accounts? +

Porter has no limits. Limits depend on BigQuery and Meta.

Do you help migrate from another provider? +

Yes. 100% assisted migration by implementation and development team. Typical time: within the same week.

What support is included? +

Direct Slack access to support team, developers, and founders. Chat, scheduled video calls, email. Response in minutes or hours (Americas timezone).

How do you handle security? +

Google-only login (OAuth 2.0). No passwords stored. Data goes directly to your BigQuery.

Security

  • Google-only login (OAuth 2.0). No passwords to create or store.

  • Your existing Google security applies: 2FA, suspicious login detection, session management.

  • One identity for BigQuery, Looker Studio, Sheets, and Porter.

Ready to connect Google Analytics 4 to BigQuery?

We’ll set up your first sync, free

14 days, no credit card required

Connectors

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Report templates