Supermetrics for Google Cloud Storage
Connect LinkedIn Ads to Google Cloud Storage — GCP Data Lake Foundation
Deliver your LinkedIn Ads data to Google Cloud Storage as structured files. Archive B2B campaign performance, feed custom pipelines, and query with BigQuery.
Why Connect LinkedIn Ads to Google Cloud Storage?
Store your raw LinkedIn Ads data in Google Cloud Storage for custom pipelines and full data ownership.
- Store LinkedIn demographic breakdowns — job title, seniority, company size — in GCS for long-term B2B audience analysis.
- GCS files integrate with any data tool. Process LinkedIn lead data with Cloud Functions, Dataflow, or custom scripts.
- Combine LinkedIn Ads with Google Ads, Salesforce, and HubSpot data in the same GCS bucket for unified B2B analytics.
How to Connect LinkedIn Ads to Google Cloud Storage
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select LinkedIn 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 LinkedIn Ads data begins flowing to GCS as structured files, ready for BigQuery, Dataflow, or any GCP service.
LinkedIn Ads Data Format in Google Cloud Storage
Supermetrics delivers your LinkedIn 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 LinkedIn Ads Data in Google Cloud Storage
Once your LinkedIn Ads data lands in Google Cloud Storage, here's what becomes possible.
B2B pipeline attribution
Join LinkedIn Ads data with CRM exports in GCS to track ad spend through to closed revenue.
BigQuery demographic analysis
Query LinkedIn audience breakdowns by seniority and company size directly in GCS with BigQuery.
What LinkedIn Ads Data Can You Pull into Google Cloud Storage?
Supermetrics gives Google Cloud Storage access to your full LinkedIn Ads reporting data — metrics and dimensions you already know from the LinkedIn Ads interface.
Key Metrics
- Impressions
- Clicks
- Spend
- CTR
- CPC
- CPM
- Conversions
- CPA
- Lead form opens
- Leads
- Lead form completion rate
- Video views
- Video completions
- Social actions
- Engagement rate
Key Dimensions
- Campaign name
- Campaign group
- Creative name
- Ad format
- Objective type
- Company name
- Company industry
- Company size
- Job title
- Job function
- Seniority
- Location
Resources & Guides
How to optimize LinkedIn Ads campaigns
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 LinkedIn 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 LinkedIn 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 LinkedIn 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 LinkedIn 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 LinkedIn 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 LinkedIn 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. Supermetrics pulls lead gen form metrics including opens, completions, and cost per lead. All data lands as structured files in your GCS bucket.
- All standard LinkedIn Ads demographic dimensions — job title, job function, seniority, company size, company industry, and location — are available in the exported files.
Also Connect to Google Cloud Storage
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