Connect Facebook Ads to Snowflake — Elastic Ad Analytics with Zero Ops

Log into the Supermetrics Hub, create a new data transfer, select Facebook Ads as the source and Snowflake as the destination. Authorize your Facebook Ads account, enter your Snowflake account identifier, warehouse, database, and schema details, select the fields you need, set a schedule, and start the transfer. No Snowpipe configuration or custom staging areas required — Supermetrics handles everything end to end. You can even spin up a dedicated Snowflake virtual warehouse for your marketing loads so they never compete with other workloads for compute.

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 into your Snowflake account — Supermetrics does not store your marketing data. Snowflake adds its own defense-in-depth: network policies restrict access by IP, role-based access control governs who can query which tables, and all data is AES-256 encrypted at rest with automatic key rotation. If something goes wrong, Snowflake Time Travel lets you restore tables to any point within your retention window.

That is one of the most powerful reasons to use Snowflake. Once Facebook Ads data lands in your account, you can JOIN it with any other table — GA4 exports, CRM data, revenue tables — using standard SQL. Want to enrich your analysis further? Browse the Snowflake Marketplace for ready-to-query third-party datasets (demographics, weather, economic indicators) and combine them with your marketing data instantly — no ETL, no data movement. Supermetrics supports 170+ data sources that all land in the same Snowflake database, and Secure Data Sharing lets you publish governed datasets to partners or other business units without copying a single byte.

All standard Facebook Ads reporting fields are available, including Impressions, Clicks, Spend, ROAS, CPA, CTR, and many more. You choose exactly which metrics and dimensions to transfer during setup, and you can modify the selection at any time without affecting historical data already loaded. Need to test a schema change? Use Snowflake's zero-copy cloning to create an instant clone of your marketing database, experiment freely, and drop the clone when you are done — no extra storage cost, no risk to production tables.

Data freshness depends on your transfer schedule. Supermetrics supports hourly, daily, or weekly transfers into Snowflake. Most users run daily transfers so yesterday's complete data is ready each morning. Incremental loading ensures only new and updated records are transferred, keeping warehouse credits low and load times fast. Because Snowflake separates storage from compute, you can scale your virtual warehouse up during heavy load windows and back down afterward — paying only for the seconds of compute you actually use.

Supermetrics maps Facebook Ads fields to Snowflake-native types. Dates become DATE, text fields like campaign_name are stored as VARCHAR, monetary metrics like spend use NUMBER(18,6) for sub-cent precision, and count metrics like impressions use NUMBER(38,0). The mapping is automatic — select your fields and Supermetrics creates the table with correct DDL.

Yes. By default, Snowflake retains 1 day of Time Travel data (up to 90 days on Enterprise edition). You can query your Facebook Ads table as it existed at any past timestamp using AT or BEFORE clauses. This is especially useful for auditing when Meta reprocesses attribution data and your numbers shift retroactively.

When you run CREATE TABLE facebook_ads_staging CLONE facebook_ads, Snowflake creates a metadata-only copy that shares the underlying micro-partitions with the original. The clone is instant, costs no additional storage, and is fully independent — writes to the clone do not affect the original. This is ideal for testing dbt models, new attribution logic, or BI prototyping.

Absolutely. Create a Snowflake share with a secure view that filters by client or account ID, then grant access to the client's Snowflake account. They see live, always-current data without any file transfers or scheduled exports. You control exactly which rows and columns are visible using Snowflake's column-level and row-level security policies.

Snowflake charges separately for storage and compute. Storage costs roughly $23-$40 per TB per month depending on cloud and region — and most Facebook Ads datasets are well under 10 GB. Compute is billed per-second when your virtual warehouse is active. A typical daily transfer on an XS warehouse uses a few cents worth of credits. The total monthly cost for most teams is under $10.

Yes. The Facebook Ads API covers all Meta ad placements including Instagram Feed, Stories, Reels, and Explore. Data lands in the same Snowflake table with a placement column. Filter with WHERE placement ILIKE '%instagram%' for Instagram-only analysis, or query without filters for a combined Meta Ads view.