Supermetrics for AlloyDB
Connect Facebook Ads to Google AlloyDB — High-Performance Ad Analytics on Google Cloud
Warehouse your complete Facebook Ads history in Google AlloyDB. Run PostgreSQL queries across campaigns, audiences, and creatives at high speed. Join with GA4 exports, CRM, and revenue data in the same Google Cloud instance — no custom ETL required.
Why Connect Facebook Ads to Google AlloyDB?
PostgreSQL compatibility meets Google Cloud performance. Warehouse your Facebook Ads data in AlloyDB for fast analytics, familiar SQL, and seamless Google Cloud integration.
- AlloyDB uses a Google-designed storage engine separated from compute, enabling both transactional and analytical workloads on the same instance. For marketing analytics — scanning large date ranges, aggregating across campaigns, computing window functions — AlloyDB delivers BigQuery-class speed with PostgreSQL compatibility. No new query dialect, no new tools, no retraining.
- If your organization uses Google Cloud, AlloyDB is a natural fit. Export GA4 data to BigQuery, federate queries between AlloyDB and BigQuery, feed Looker dashboards directly from AlloyDB, or pipe data into Vertex AI for ML-driven campaign optimization. Everything stays within the Google Cloud ecosystem — low latency, no egress costs, unified IAM.
- Marketing analytics is heavy on aggregation: sum spend by campaign, average CPA by audience, trend ROAS over time. AlloyDB's columnar engine detects these patterns and automatically stores frequently queried columns in a columnar format. The result: ad-hoc analytical queries that would take seconds on standard PostgreSQL complete in milliseconds on AlloyDB. No manual tuning required.
- Match Facebook Ads clicks to GA4 sessions by UTM parameters. Correlate ad spend with Firestore customer records. Join campaign data with product catalog tables to calculate margin-adjusted ROAS. In AlloyDB, these cross-source JOINs use standard PostgreSQL syntax — no federation layer, no ETL middleware.
- Google manages backups, patching, replication, and failover automatically. AlloyDB provides 99.99% SLA with regional high availability and cross-region replication. Storage scales automatically as your data grows. Start small and scale compute independently as your query workload increases.
- Any tool that connects to PostgreSQL connects to AlloyDB. Looker uses AlloyDB as a native data source with full LookML support. Looker Studio, Metabase, Grafana, and Tableau all work through standard PostgreSQL connectors. Build interactive dashboards with drill-downs and filters — all powered by the same tables Supermetrics keeps current.
How to Connect Facebook Ads to Google AlloyDB
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and AlloyDB as your destination.
- 2
Authorize and configure
Connect your data source account, provide your AlloyDB connection details, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into AlloyDB automatically.
Facebook Ads Data Schema in Google AlloyDB
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Facebook Ads data looks like in Google AlloyDB.
Data Freshness & Scheduling
Facebook Ads data is typically available in AlloyDB within 3-6 hours of the reporting period end. Schedule daily transfers to have yesterday's complete data ready each morning. Historical backfill is available for up to 37 months.
What Facebook Ads Data Can You Pull into Google AlloyDB?
Supermetrics gives Google AlloyDB access to your full Facebook Ads reporting data — metrics and dimensions you already know from the Facebook Ads interface.
Key Metrics
- Impressions
- Clicks
- Spend
- ROAS
- CPA
- CTR
- CPM
- Conversions
- Reach
- Frequency
- Video views
- Link clicks
- Cost per action
- Purchase value
- Add to cart
Key Dimensions
- Campaign name
- Ad set name
- Ad name
- Age
- Gender
- Placement
- Device
- Country
- Region
- Platform (Facebook / Instagram / Audience Network)
- Objective
- Delivery status
- Instagram placement (Feed / Stories / Reels / Explore)
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
The marketing analytics roadmap
How to optimize your Facebook ad campaigns
Facebook Ads report templates
PPC reporting: extract insights from paid campaigns
Why Supermetrics for Google AlloyDB?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in Google AlloyDB — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Managed Schema
Supermetrics creates and maintains your Facebook Ads tables automatically. Schema changes from the source API are handled for you — no broken pipelines, no manual migrations.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Facebook Ads data as you need without worrying about cost spikes.
No Data Limits
Query any date range, any number of campaigns, any level of granularity. No row limits, no sampling, no restrictions on the data you can pull.
Frequently Asked Questions
- Log into the Supermetrics Hub, create a new data transfer, select Facebook Ads as the source and AlloyDB as the destination. Authorize your Facebook Ads account, provide your AlloyDB connection details, choose the fields you want, set a schedule, and start the transfer. No custom ETL pipelines or Cloud Dataflow jobs required — Supermetrics creates and manages the tables automatically using standard PostgreSQL-compatible commands, so any tool or library that works with PostgreSQL works with your marketing data out of the box.
- Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Facebook Ads credentials are encrypted at rest and in transit. Data flows directly from the Facebook Ads API to your own AlloyDB instance — Supermetrics does not store your marketing data on its servers. AlloyDB runs inside your Google Cloud VPC, so traffic never traverses the public internet. Google Cloud IAM policies control who can access the instance, VPC Service Controls prevent data exfiltration, and automated encryption at rest with customer-managed encryption keys (CMEK) gives you full control over your data's cryptographic lifecycle.
- That is one of the biggest advantages of storing marketing data in AlloyDB. Once Facebook Ads lands in your instance, you can JOIN it with any other table — GA4 exports from BigQuery (via federated queries), CRM data, product catalogs, other ad platforms — using standard PostgreSQL syntax. Because AlloyDB is fully PostgreSQL-compatible, the entire ecosystem of PostgreSQL extensions, BI tools, and ORMs works out of the box. Supermetrics supports 170+ data sources that can all land in the same AlloyDB instance, and for advanced use cases you can tap into AlloyDB's built-in Vertex AI integration to run ML predictions directly inside SQL queries on your marketing data.
- All standard Facebook Ads reporting fields are available, including Impressions, Clicks, Spend, ROAS, CPA, CTR, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data. AlloyDB's columnar engine automatically accelerates analytical queries on large tables — aggregations across millions of rows of Facebook Ads data can run up to 100x faster than standard row-based PostgreSQL, giving you warehouse-grade performance without leaving the PostgreSQL ecosystem.
- Data freshness depends on your transfer schedule. You can run transfers hourly, daily, or weekly. Most users schedule daily transfers so yesterday's complete data is ready each morning. Supermetrics uses incremental loading — only new and updated records are transferred — so even large accounts refresh quickly. AlloyDB's adaptive autoscaling handles traffic spikes during data loads without manual intervention, and its intelligent caching layer keeps frequently queried marketing dashboards responsive throughout the day.
- Supermetrics creates clean, properly typed tables in your AlloyDB database. Dates are stored as DATE, text fields like campaign_name as TEXT, and numeric metrics like impressions as INTEGER and spend as NUMERIC. You choose which fields to include during setup, and each transfer creates or updates tables in your chosen schema.
- Supermetrics supports backfilling up to 37 months of historical data from the Facebook Ads API, which is the maximum retention window Meta provides. The historical data uses the same table schema as ongoing transfers, so all your PostgreSQL queries work across the full date range.
- Supermetrics uses incremental loading by default. Each scheduled transfer fetches only new and updated records since the last run, then upserts them into your AlloyDB tables. This keeps transfer times short and database load low. You can also trigger a full refresh for a specific date range when needed.
- AlloyDB is purpose-built for mixed transactional and analytical workloads. Its columnar engine automatically accelerates the aggregation-heavy queries common in marketing analytics — GROUP BY campaign, SUM spend, AVERAGE CPA — making it significantly faster than standard Cloud SQL for PostgreSQL. For teams that primarily run analytical queries over marketing data, AlloyDB delivers better price-performance.
- Yes. Export GA4 data to BigQuery, then use AlloyDB's BigQuery federation to query both datasets from AlloyDB. Alternatively, load GA4 data directly into AlloyDB for the fastest JOIN performance. Use UTM parameters to match Facebook Ads campaign spend to GA4 website sessions and conversions.
- Yes. The Facebook Ads API covers all Meta ad placements including Instagram Feed, Stories, Reels, and Explore. Filter by placement in your PostgreSQL queries to isolate Instagram-specific performance, or aggregate across all placements for a unified Meta Ads view.
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