NO-CODE ETL AI-NATIVE

Connect Meta Ads to Google BigQuery .
100% no-code.

The AI-native connector for marketers, not engineers.

  • Prompt your queries and custom fields in natural language

  • Auto-blend Meta Ads with 20+ sources

  • Create, preview, and publish in 15 minutes

  • 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

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Connect Meta Ads to Google BigQuery

How It Works

1

Export Meta Ads (Facebook Ads) to BigQuery—or anywhere

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

Select data sources
2

Connect multiple data sources

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

Connect multiple data sources
3

Consolidate multiple Meta Ads accounts

Connect multiple Facebook profiles, select Ad Accounts under each. Consolidate dozens of accounts across brands, regions, or clients into one BigQuery table. Built for agencies and enterprise teams at scale.

Select multiple accounts
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
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.

Select your BigQuery datasets
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 Meta Ads 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.

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 Meta’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 in natural language
8

Monitor every Meta Ads 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.

Manage your data

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 Meta Ads (Facebook Ads) Data Can You Export

Access over 800 fields from Meta Ads Manager plus extra calculated metrics. Your data matches Ads Manager exactly.

+800 fields

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

[Link: See all Meta Ads 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 Meta Ads 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

Purchases
Purchase conversion value
ROAS
Budget
Amount spent
Campaign daily budget
Campaign total budget

Conversions

Standard conversions
Custom conversions
CPA
CPL
Conversion rate

Engagement

Link clicks
Clicks
Thruplays
Engagement
CTR
CPC

Visibility

Impressions
Reach
Frequency
CPM
Brand recall lift

Campaign

Campaign name
Objective
Ad set name

Creative

Ad headline
Ad text
Ad image
Ad preview

Audience

Placement
Publisher platform
Gender
Age
Device
Region/Country

Time

Hour
Date
Week
Month

Custom

Brand
Client (via naming conventions)
See all fields

Complete field documentation

Why Marketers Move Meta Ads 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 Meta Ads 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 Meta Ads 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 Meta Ads accounts, chains with multiple brands and locations—consolidate everything into one table. One report, one connection.

Meta Ads Templates for BigQuery + Looker Studio

Porter has the most complete Looker Studio template gallery for Meta Ads .

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

Campaign Performance Report

Campaign Performance Report

Get this template for free

Creative Analysis Dashboard

Creative Analysis Dashboard

Get this template for free

Attribution Dashboard

Attribution Dashboard

Get this template for free

Audience Dashboard

Audience Dashboard

Get this template for free

Budget Tracking & Pacing Dashboard

Budget Tracking & Pacing Dashboard

Get this template for free

Funnel Dashboard

Funnel Dashboard

Get this template for free

Testimonials

Frequently Asked Questions

Full proof of concept. Includes tool access, support, and migration assistance. No day limit—ends when you validate Porter meets your needs.
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.
Yes. Monthly or annual billing (2 months free with annual). Cancel anytime, no paperwork, immediate cancellation.
Most clients operate within Google’s free tier. High-volume clients: $20-$30/month. See Google BigQuery pricing for details.
Both. Use your own project or Porter manages one for you. Your data is always yours.
Automatic refresh every 12 hours by default. Configurable to hours or minutes depending on Meta’s API limits. Direct API access available for real-time data.
Porter has no limits. Limits depend on BigQuery and Meta.
Yes. 100% assisted migration by implementation and development team. Typical time: within the same week.
Direct Slack access to support team, developers, and founders. Chat, scheduled video calls, email. Response in minutes or hours (Americas timezone).
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 Meta Ads (Facebook Ads) to BigQuery?

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Connect Meta Ads to Google BigQuery