Supermetrics for BigQuery
Connect Amazon Ads to BigQuery — Amazon Advertising at Warehouse Scale
Warehouse your Amazon Sponsored Products, Brands, and Display data in BigQuery. Track ACoS trends, mine search terms, and join with organic sales data to calculate TACoS over time.
Why Connect Amazon Ads to BigQuery?
Warehouse your Amazon Ads data in BigQuery for unlimited historical analysis and cross-source SQL.
ACoS optimization at scale
Track ACoS at the keyword and ASIN level across your entire history to optimize profitability.
Search term mining
Analyze millions of search term records in BigQuery to find high-converting queries and negative keyword candidates.
TACoS tracking
JOIN ad spend with total sales data to monitor advertising dependency over time.
How to Connect Amazon Ads to BigQuery
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and BigQuery as your destination.
- 2
Authorize and configure
Connect your data source account, choose your BigQuery project and dataset, 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 BigQuery automatically.
Amazon Ads Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Amazon Ads data looks like in BigQuery.
Data Freshness & Scheduling
Amazon Ads data typically available within 12-24 hours. Daily transfers recommended.
What Amazon Ads Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Amazon Ads reporting data — metrics and dimensions you already know from the Amazon Ads interface.
Key Metrics
- Impressions
- Clicks
- Spend
- Sales
- ACoS
- ROAS
- CPC
- CTR
- Orders
- Units sold
- Conversion rate
- TACoS
- New-to-brand orders
- New-to-brand sales
- DPV (detail page views)
Key Dimensions
- Campaign name
- Ad group name
- Keyword
- Search term
- Match type
- ASIN
- Product title
- Ad format (SP/SB/SD)
- Targeting type
- Placement
- Portfolio name
- Bidding strategy
Resources & Guides
Why Supermetrics for BigQuery?
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 BigQuery — 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 Amazon 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 Amazon 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
How do I connect Amazon Ads to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Amazon Ads as the source and BigQuery as the destination. Authorize your Amazon Ads account, choose your BigQuery project and dataset, pick the fields you want, set a schedule, and start the transfer. No code or SQL knowledge required — Supermetrics creates and manages the tables automatically.
Is my Amazon Ads data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Amazon Ads credentials are encrypted at rest and in transit. Data flows directly from the Amazon Ads API to your own BigQuery project — Supermetrics does not store your marketing data on its servers. Your BigQuery IAM policies control who can access the tables.
Can I combine Amazon Ads data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Amazon Ads lands in BigQuery, you can JOIN it with any other table — GA4 sessions, CRM deals, revenue data, other ad platforms — using standard SQL. Supermetrics supports 170+ data sources, and they all land in the same BigQuery project for easy cross-source analysis.
What Amazon Ads metrics and dimensions are available in BigQuery?
All standard Amazon Ads reporting fields are available, including Impressions, Clicks, Spend, Sales, ACoS, ROAS, 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.
How fresh is Amazon Ads data in BigQuery?
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.
Does it include all ad formats?
Yes. Sponsored Products, Sponsored Brands, and Sponsored Display are all available.
Can I track new-to-brand metrics?
Yes. New-to-brand orders and sales are available for customer acquisition analysis.
Also Connect to BigQuery
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