Supermetrics for BigQuery
Connect Pinterest Ads to BigQuery — Visual Discovery Analytics at Scale
Warehouse your Pinterest Ads data in BigQuery. Analyze pin performance, save rates, and conversion data over unlimited time ranges to optimize your visual marketing strategy.
Why Connect Pinterest Ads to BigQuery?
Warehouse your Pinterest Ads data in BigQuery for unlimited historical analysis and cross-source SQL.
Save-to-purchase attribution with Shopify
JOIN Pinterest save data with Shopify orders already in BigQuery to measure how saves convert to purchases. BigQuery's serverless engine handles the cross-source join without provisioning anything.
BigQuery ML interest targeting optimization
Train a model on Pinterest interest category performance using BigQuery ML to predict which audience segments will deliver the best ROAS — all in SQL, feeding results directly into campaign planning.
Visual ad benchmarks across platforms
Pinterest, Instagram, and Facebook Ads data all live in the same BigQuery project. Compare visual ad performance across all three platforms in a single query — no data warehouse hopping.
How to Connect Pinterest 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.
Pinterest Ads Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Pinterest Ads data looks like in BigQuery.
Data Freshness & Scheduling
Pinterest Ads data typically available within 6-12 hours. Daily transfers recommended.
What Pinterest Ads Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Pinterest Ads reporting data — metrics and dimensions you already know from the Pinterest Ads interface.
Key Metrics
- Impressions
- Clicks
- Spend
- CTR
- CPC
- CPM
- Conversions
- CPA
- ROAS
- Pin clicks
- Outbound clicks
- Saves
- Save rate
- Video views
- Engagement rate
Key Dimensions
- Campaign name
- Ad group name
- Pin name
- Ad format
- Targeting type
- Interest
- Keyword
- Age
- Gender
- Device
- Placement
- Objective
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 Pinterest 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 Pinterest 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 Pinterest Ads to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Pinterest Ads as the source and BigQuery as the destination. Authorize your Pinterest 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 Pinterest Ads data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Pinterest Ads credentials are encrypted at rest and in transit. Data flows directly from the Pinterest 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 Pinterest Ads data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Pinterest 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 Pinterest Ads metrics and dimensions are available in BigQuery?
All standard Pinterest Ads reporting fields are available, including Impressions, Clicks, Spend, CTR, CPC, CPM, 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 Pinterest 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 organic and paid data?
The Pinterest Ads connector focuses on paid advertising data from Pinterest Ads Manager.
Can I combine with Shopify data?
Yes. JOIN Pinterest Ads spend with Shopify orders to calculate true ROAS from visual discovery.
Also Connect to BigQuery
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