Supermetrics for Google Cloud Storage
Connect Pinterest Ads to Google Cloud Storage — GCP Data Lake Foundation
Deliver your Pinterest Ads data to Google Cloud Storage as structured files. Archive pin performance, save rates, and conversion data.
Why Connect Pinterest Ads to Google Cloud Storage?
Store your raw Pinterest Ads data in Google Cloud Storage for custom pipelines and full data ownership.
- Store save rates and pin click data in GCS — Pinterest's unique intent signals preserved forever.
- Combine Pinterest with Facebook, Google, and TikTok ad data in one GCS data lake.
- Run SQL queries on Pinterest Ads data directly in GCS — no warehouse needed.
How to Connect Pinterest Ads to Google Cloud Storage
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select Pinterest Ads as your source and Google Cloud Storage as your destination.
- 2
Configure your GCS bucket
Authenticate with your Google Cloud account, choose your GCS bucket and folder prefix, and select the file format and fields you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your Pinterest Ads data begins flowing to GCS as structured files, ready for BigQuery, Dataflow, or any GCP service.
Pinterest Ads Data Format in Google Cloud Storage
Supermetrics delivers your Pinterest Ads data in clean, structured files ready for downstream processing.
Comma-separated values — universally compatible and easy to inspect.
Columnar binary format — optimal for BigQuery and Dataflow processing.
What to Build with Pinterest Ads Data in Google Cloud Storage
Once your Pinterest Ads data lands in Google Cloud Storage, here's what becomes possible.
Visual commerce analytics
Join Pinterest ad data with Shopify revenue in GCS to track pin-to-purchase attribution.
Interest-based audience analysis
Query interest targeting performance with BigQuery to optimize audience strategies.
What Pinterest Ads Data Can You Pull into Google Cloud Storage?
Supermetrics gives Google Cloud Storage 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
PPC reporting: extract insights from paid campaigns
Why Supermetrics for Google Cloud Storage?
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 Google Cloud Storage — 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 Pinterest 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 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
- Log into the Supermetrics Hub, create a new data transfer, select Pinterest Ads as the source and Google Cloud Storage as the destination. Authenticate with your Google Cloud account, choose your GCS bucket and folder prefix, select your file format and fields, set a schedule, and start the transfer. Supermetrics writes structured files to your bucket automatically — no Cloud Functions or Dataflow pipelines required. For the fastest path to SQL analytics, choose Parquet format and create a BigQuery external table pointing at your GCS prefix: you get instant, zero-copy queries over your marketing data without any loading step.
- Supermetrics is SOC 2 Type II certified and GDPR compliant. All data transfers use TLS encryption in transit. In GCS, your data is encrypted at rest by default with Google-managed keys, but you can also use customer-managed encryption keys (CMEK) stored in Cloud KMS or customer-supplied encryption keys (CSEK) that Google never retains. IAM policies and bucket-level permissions control who can read or write, and VPC Service Controls can create a security perimeter that prevents data exfiltration. GCS also supports retention policies and bucket lock for regulatory compliance. Supermetrics does not retain your data after delivery.
- Absolutely. GCS is the central storage layer for the entire Google Cloud analytics stack. Transfer Pinterest Ads alongside GA4 exports, Google Ads, CRM data, and any other source into the same bucket. Create BigQuery external tables for ad-hoc cross-source queries without loading data, or use Dataflow (Apache Beam) and Dataproc (Spark/Hadoop) for heavy transformations. You can also wire Cloud Functions or Cloud Run to trigger automatically via Eventarc whenever Supermetrics delivers a new file — enabling real-time enrichment, validation, or alerts. Supermetrics supports 170+ sources, all deliverable to the same GCS bucket.
- All standard Pinterest Ads reporting metrics and dimensions are available, including Impressions, Clicks, Spend, CTR, CPC, CPM, and more. You select exactly which fields to include during setup. Data arrives as clean, structured files in CSV, JSON, or Parquet. Parquet is the recommended choice for GCS-based analytics: BigQuery external tables, Dataflow, and Dataproc all leverage its columnar layout for predicate pushdown and column pruning, which means faster queries and lower processing costs — especially valuable when scanning months of campaign history.
- Transfers can run hourly, daily, weekly, or monthly. Daily is the most common choice — yesterday's Pinterest Ads data is ready in your bucket each morning. Incremental delivery means only new and updated records are written, keeping file sizes manageable and storage costs near zero. To minimize costs further, enable GCS Autoclass on your bucket: it automatically moves each object between Standard, Nearline, Coldline, and Archive tiers based on access frequency, so recent campaign data stays fast to query while historical data shifts to cheaper storage without any manual lifecycle rules.
- Yes. Save counts, save rates, and all engagement metrics are included in the structured file exports.
- Yes. Interest categories and keyword targeting dimensions are available for analyzing audience segment performance.
Also Connect to Google Cloud Storage
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