Connect Facebook Ads to Google AlloyDB — High-Performance Ad Analytics on Google Cloud

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.