Direct to BigQuery
DATA PIPELINE
LinkedIn Ads
Weavely
BigQuery
Looker Studio
Sheets
Own your data
Your LinkedIn Ads data lands directly in your BigQuery project — not ours.
Explore what you can export
Clean, structured exports designed for scalable agency reporting and data warehousing.
This is just a preview — explore the full dataset by creating a free account or booking a demo.
Campaigns
DIMENSIONS
METRICS
Creatives
DIMENSIONS
METRICS
Posts
DIMENSIONS
METRICS
Videos
DIMENSIONS
METRICS
From account to warehouse in minutes
Step 1
Connect LinkedIn Ads
Secure OAuth authentication
Step 2
Link BigQuery
Select your GCP project
Step 3
Enable exports
Choose your tables
Step 4
Data flows
Automated syncs
Built differently from the start
Feature
Weavely
Typical Connector
Data Storage
Your BigQuery
Vendor-owned
Pricing Model
Flat per ad account
Confusing & expensive
Historical Data
Included
Often add-on
Setup Time
Under 1 hour
Days or weeks
Multi-Client Management
Under 1 hour
Built for single brands
Weavely vs Supermetrics
Supermetrics is powerful for spreadsheet exports and dashboard connectors. Weavely is built for warehouse-native agencies.
Weavely
Direct BigQuery export
Flat per-account pricing
Agency-native architecture
No row-based billing traps
Multi-client structure built-in
Supermetrics
Often per-destination pricing
Volume-based billing
Primarily dashboard-focused
Data often routed through vendor infrastructure
If you're building a scalable agency data warehouse, Weavely is purpose-built for that workflow.
Weavely vs Funnel
Funnel is powerful for centralized reporting and managed transformations. Weavely is built for agencies that want direct control of their data inside BigQuery.
Weavely is
Purpose-built for marketing data
Built for BigQuery from day one
Optimized for agency client structures
Predictable, usage-based pricing
Fast to deploy and scale
Funnel often:
Acts as a reporting layer, not a warehouse
Charges per data volume or workspace
Stores data outside your own BigQuery project
Adds unnecessary transformation layers
Becomes expensive as agencies grow
If you're building a scalable agency data warehouse — not just a reporting layer — Weavely is purpose-built for that workflow.
Technical FAQs
How often does data sync?
Data syncs automatically on a scheduled basis. Most agency accounts sync multiple times per day. Sync frequency can be configured depending on reporting needs.
Does the data land in Weavely's warehouse?
No. Data is exported directly into your BigQuery project. Weavely does not act as a long-term storage layer for your reporting data.
Is historical backfill included?
Yes. On setup, Weavely pulls historical Meta Ads data so you can start with a complete performance dataset.
Do you support attribution windows?
Yes. Because data is structured inside your BigQuery project, you can join it with GA4, CRM, Shopify, or custom datasets for full-funnel analysis.
How do you handle schema changes?
Weavely monitors platform API changes and updates export schemas automatically to ensure continuity and minimal disruption.
Own your marketing data. Scale without limits.