Supermetrics for Amazon S3
Connect Facebook Ads to Amazon S3 — Raw Data Lake Storage
Land your complete Facebook Ads data in Amazon S3 as structured files — CSV, JSON, or Parquet. Build a cost-effective data lake, feed custom ETL pipelines, query with Athena, or load into Redshift. Full ownership of your raw ad data with no vendor lock-in.
Why Connect Facebook Ads to Amazon S3?
Own your raw Facebook Ads data in S3 — the most cost-effective storage for building a marketing data lake, feeding custom pipelines, and archiving campaign history forever.
- S3 Standard storage costs $0.023 per GB/month, and Facebook Ads data is lightweight — even accounts spending millions per year generate just a few GB of performance data. Move older data to S3 Glacier for $0.004/GB/month. You own every byte, forever, at a fraction of the cost of any warehouse or BI tool storage.
- Supermetrics delivers clean, partitioned files to your S3 bucket. From there, AWS Glue can catalog them, Athena can query them in place, Spark can process them, or a Lambda function can transform and route them. Your data engineering team works with their preferred tools — Supermetrics handles the extraction.
- Point Athena at your S3 prefix, define a table schema (or let Glue Crawler detect it), and start querying with standard SQL. Parquet format with date partitioning keeps query costs minimal — a typical campaign performance query scans under 10 MB and costs less than a penny. Perfect for ad-hoc analysis without spinning up a warehouse.
- A data lake on S3 stores raw, immutable data from every source. Supermetrics delivers marketing data; your CRM exports sales data; your product backend exports usage data. Everything lands in the same bucket with a consistent folder structure. This is the foundation for cross-source analytics, ML models, and custom attribution — without the cost of a full-time warehouse.
- Unlike warehouse-specific formats or SaaS platform storage, S3 files are portable. CSV and JSON open in any tool. Parquet is an open standard supported by every data processing framework. If you switch analytics tools tomorrow, your data stays exactly where it is in exactly the same format.
- Configure an S3 event notification on your delivery prefix. When Supermetrics writes a new file, S3 triggers a Lambda function that validates the data, runs transformations, and loads it into Redshift or sends alerts. The entire pipeline is serverless, event-driven, and costs practically nothing at rest.
How to Connect Facebook Ads to Amazon S3
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select Facebook Ads as your source and Amazon S3 as your destination.
- 2
Configure your S3 bucket
Enter your S3 bucket name, region, and AWS credentials. Choose the file format (CSV, JSON, or Parquet) and the folder prefix for your data.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your Facebook Ads data begins flowing to S3 automatically as structured files.
Facebook Ads Data Format in Amazon S3
Supermetrics delivers your Facebook Ads data in clean, structured files ready for downstream processing.
Comma-separated values — universally compatible, easy to inspect and debug. Best for simple pipelines and legacy systems.
Structured key-value format — ideal for programmatic processing, Lambda functions, and APIs that consume nested data.
Columnar binary format — compressed and optimized for analytics. Reduces Athena costs by 90% compared to CSV and processes 10x faster in Spark.
Newline-delimited JSON — one record per line, streamable. Perfect for real-time ingestion pipelines and tools like AWS Kinesis Firehose.
What to Build with Facebook Ads Data in Amazon S3
Once your Facebook Ads data lands in Amazon S3, here's what becomes possible.
Athena SQL analytics
Point Amazon Athena at your S3 Facebook Ads data and run ad-hoc SQL queries without any database infrastructure. Perfect for on-demand campaign analysis and exploration.
Glue ETL pipeline
Use AWS Glue to crawl your S3 data, catalog the schema automatically, and transform raw Facebook Ads data into analytics-ready tables in Redshift or another warehouse.
Lambda event processing
Trigger a Lambda function on every new S3 file delivery. Validate data quality, calculate custom metrics, and push results to DynamoDB, CloudWatch, or SNS for alerting.
Redshift Spectrum queries
Query Facebook Ads data in S3 directly from your Redshift cluster using Spectrum — join S3 data with Redshift tables without loading it. Best for cross-source analytics with minimal storage cost.
Machine learning with SageMaker
Feed Facebook Ads performance data from S3 into SageMaker for predictive modeling — forecast spend, predict conversion rates, or build audience scoring models using historical campaign data.
What Facebook Ads Data Can You Pull into Amazon S3?
Supermetrics gives Amazon S3 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
How to optimize your Facebook ad campaigns
Facebook Ads report templates
PPC reporting: extract insights from paid campaigns
Why Supermetrics for Amazon S3?
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 Amazon S3 — 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.
Flexible File Formats
Export your Facebook Ads data as CSV, JSON, or Parquet. Choose the format that fits your downstream tools — whether that's a query engine, ML pipeline, or custom ETL.
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 Amazon S3 as the destination. Provide your S3 bucket name, region, and AWS credentials (access key + secret key or IAM role ARN). Choose your metrics, set a schedule, and start the transfer. Supermetrics writes structured files directly to your S3 bucket — no custom scripts needed. For optimal downstream analytics, choose Parquet format: it's columnar, compressed, and works natively with Athena, Redshift Spectrum, and AWS Glue crawlers without schema definition.
- Supermetrics is SOC 2 Type II certified and GDPR compliant. Data transfers are encrypted in transit via TLS. Once in S3, your data inherits AWS-native security controls: server-side encryption (SSE-S3, SSE-KMS, or SSE-C), S3 bucket policies to restrict access by IAM principal or IP range, S3 Object Lock for immutable audit trails, and optional VPC endpoints so traffic never leaves the AWS backbone. You can also enable S3 Access Logging and CloudTrail data events to track every read and write to your marketing data. Supermetrics does not retain your data after delivery.
- Absolutely. S3 is the standard landing zone for AWS data lakes. Transfer Facebook Ads alongside Google Ads, GA4, CRM exports, and any other data into the same bucket, then query across all sources with Amazon Athena using standard SQL — no loading step required. For automated processing, configure S3 Event Notifications to trigger a Lambda function whenever Supermetrics delivers a new file, or run an AWS Glue crawler to update your Data Catalog automatically. Supermetrics supports 170+ sources, all deliverable to the same S3 prefix structure for a clean, partitioned data lake.
- All standard Facebook Ads reporting metrics and dimensions are available, including Impressions, Clicks, Spend, ROAS, CPA, CTR, and many more. You choose exactly which fields to include during transfer setup. Data arrives as clean, structured files in CSV, JSON, or Parquet format. Parquet is especially powerful for S3-based analytics: Athena and Redshift Spectrum can push predicate filters down to the file level, meaning queries scan only the columns and row groups they need — dramatically reducing both query time and per-query cost.
- You can schedule transfers hourly, daily, weekly, or monthly. Most teams use daily transfers for a reliable morning-ready dataset. Supermetrics handles incremental delivery so only new and updated records are written, keeping your S3 costs low and file sizes manageable. For real-time reaction workflows, pair your daily Supermetrics delivery with an S3 Event Notification that triggers a Lambda function — for example, to recalculate budget pacing or fire an alert the moment fresh Facebook Ads data lands in your bucket.
- Supermetrics can deliver data to S3 in CSV, JSON, and Parquet formats. CSV is the most universal and easy to inspect. JSON works well for nested data and programmatic processing. Parquet is the best choice for analytics workloads — it is columnar, compressed, and dramatically reduces Athena query costs and Spark processing time.
- Supermetrics writes files to the S3 prefix you specify during setup. Files are organized by date so you get a clean, queryable folder structure. This partitioning works natively with Athena and Glue, meaning queries that filter by date only scan the relevant partitions, keeping costs low.
- Yes. During initial setup you can trigger a backfill of up to 37 months of historical data from the Facebook Ads API. The backfill uses the same file format and folder structure as ongoing transfers, so your entire dataset is consistent from day one.
- Almost nothing. S3 Standard costs $0.023 per GB/month, and most Facebook Ads accounts generate less than 1 GB of reporting data per year. Even large agency accounts with dozens of clients rarely exceed 5 GB. At that scale, your annual S3 storage bill for all Facebook Ads data is under $2.
- Yes. Amazon Athena lets you run SQL queries directly on files in S3 — no database required. Define a table schema pointing to your S3 prefix (or use Glue Crawler to detect it), and you can immediately run queries like SELECT campaign_name, SUM(spend), SUM(conversions) FROM facebook_ads WHERE date >= current_date - interval 30 day GROUP BY campaign_name.
- Supermetrics needs s3:PutObject and s3:ListBucket permissions on the target bucket and prefix. You can provide this via an IAM user access key or an IAM role ARN for cross-account access. Supermetrics only writes to the specific prefix you configure — it cannot read other data in your bucket or access other AWS services.
Also Connect to Amazon S3
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