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Activate your Linkedin Ads data for BI & AI

Instantly connect Linkedin Ads, use any BI tool. Combine SQL and low-code Python to integrate, automate and activate your data.

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Linkedin Ads data, ready for analytics and AI

What this connector does, and why teams sync it to a warehouse

About this connector

What is Linkedin Ads?


Linkedin Ads is a marketing platform capturing campaign performance, lead engagement, and email metrics across the customer journey. Native Linkedin Ads reports cover campaign basics but cannot tie marketing spend to actual revenue without a unified warehouse. Peliqan provides a managed Linkedin Ads connector that syncs campaigns and engagement data into your warehouse for full-funnel attribution and lifecycle reporting.

Why sync to a warehouse

Get more from Linkedin Ads data


  • Tie Linkedin Ads campaign spend to actual revenue across the funnel
  • Multi-touch attribution across paid, organic, and email channels
  • Customer lifetime value and cohort analysis in your warehouse
  • Automated incremental syncs, no manual exports or scripts
  • AI-driven insights on Linkedin Ads engagement data via MCP

From raw data to actionable insights in minutes

Peliqan brings ETL pipelines, data transformations and reverse ETL together in one integrated platform. Connect your favorite BI tool and activate your data with SQL and low-code Python.

Trusted by data-driven companies

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AI

BI

Instant data warehouse for Linkedin Ads

Sync Linkedin Ads into a data warehouse with a few clicks, and start exploring your data in an easy spreadsheet. 

Use SQL on Linkedin Ads to combine data, build custom reports and prepare data for your favorite BI tool such as Microsoft Power BI, Tableau, Qlik Sense, Looker or Metabase. ETL data pipelines are automatically created.

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Peliqan DW

Snowflake data warehouse
Snowflake

redshift
Redshift

Clickhouse
Clickhouse

Instant data warehouse

Spreadsheet UI and magical SQL for Linkedin Ads

Explore data in a rich spreadsheet UI. Use Magical SQL to combine and transform data. SQL queries become new tables that can be shared with business users and used in any BI tool.

Use Peliqan’s built-in distributed query engine to combine data between sources, e.g. write JOIN queries between tables in the Peliqan DW and external databases.

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Peliqan DW

MongoDB
MongoDB

postgres
Postgres

microsoft-sql-server
SQL Server

Spreadsheet UI

Visualize your Linkedin Ads data

Use your preferred BI tool (Power BI, Tableau, Metabase etc.) to visualize your Linkedin Ads data.

Deploy Metabase with a single click from the Peliqan Market Place and use Linkedin Ads in Metabase.

Sync with Google Sheets for easy data analysis from any source.

Connect your data to Microsoft Power BI
Power BI

Sync data to Metabase
Metabase

Tableau

Superset
Superset

Visualize

SaaS Data Cockpit

Connect your apps, then work with the data in a spreadsheet, in SQL, or in plain English. No pipelines to maintain.

Do more with Peliqan

Four more things teams do with Linkedin Ads data once it is in the warehouse.

Build AI Agents on Linkedin Ads

Build intelligent AI Agents on top of Linkedin Ads, with Peliqan’s AI data foundation: Linkedin Ads MCP Server, Linkedin Ads in n8n AI Agents & Make, “Text to SQL” on Linkedin Ads data, Linkedin Ads RAG with out-of-the-box embeddings (vectors) and Linkedin Ads Graph RAG.
More info

Export data from multiple SaaS applications and databases into Linkedin Ads. Set up automated data syncs to keep your business applications in sync. Use Reverse ETL to sync Linkedin Ads data to any business application.

Developers can write, test, execute and schedule low-code Python scripts to work with their data. Implement reverse ETL with 3 lines of code. Run ML models, build interactive UIs, publish APIs.

CFOs, CEOs and other business users can work with Peliqan data in Excel thanks to the Peliqan Excel add-in. Easily switch between data sources and work with your data in real-time in Excel.

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Popular SQL queries for Linkedin Ads

Ready-to-use queries once your Linkedin Ads data is in a warehouse. Run them as-is or adapt them in Peliqan’s SQL editor.

Linkedin Ads
Calculate the total spend for each ad account.

Linkedin Ads
Calculate the average form completion rate across all forms.

Linkedin Ads
Identify the top performing ads based on the number of responses received.

Linkedin Ads
Calculate the conversion rate for each ad account.

Linkedin Ads
Calculate the total spend for each form.

Linkedin Ads
Get the number of clicks by ad creative from LinkedIn Ads data.

Linkedin Ads
Get the number of conversions by audience targeting from LinkedIn Ads data.

Linkedin Ads
Get Cost per lead (CPL) by demographics.

Linkedin Ads
Get impressions by campaign and ad set from LinkedIn Ads data tables.

Beyond Simple Sync

A cloud data platform for everything you want to do with Linkedin Ads data after the sync.

Ad hoc analysis

Analyze your Linkedin Ads data with SQL or in a spreadsheet.

Self-service access

Enable business users with controlled self-service data access to Linkedin Ads.

Spreadsheet BI

Work with your Linkedin Ads data in a spreadsheet that is always up-to-date.

Dashboards

Create charts and visualize your Linkedin Ads data in dashboards.

Data verification

Create views for “human in the loop” processes when working with Linkedin Ads data.

Reporting

Build custom reports from Linkedin Ads in HTML, PDF…

Frequently asked questions

How does Peliqan connect to Linkedin Ads?

Peliqan connects to your SaaS business applications such as Linkedin Ads through APIs, using for example OAuth 2.0 or an API key for authentication. The connection is typically added in a few clicks. For OAuth connectors, you authorize Peliqan to access your data. You can choose which objects to sync, and the connector handles incremental updates from there (if available in this specific connector). No code, no middleware, and no IT tickets to file.

Which Linkedin Ads objects can I sync to my warehouse?

Peliqan typically syncs all standard objects from your business applications such as Linkedin Ads. Peliqan usually also syncs custom objects and custom fields. The connector adapts to schema changes without manual reconfiguration. Browse the full connector catalog to see related connectors and integrations.

How often is Linkedin Ads data updated in my warehouse?

Syncs can run up to every 15 minutes on the Pro plan, with custom schedules available on higher tiers. Sync mode is incremental where available, so only new and changed records are pulled, which keeps API call usage low and respects Linkedin Ads rate limits.

Can I write data back to Linkedin Ads from my warehouse?

Yes. Peliqan's reverse ETL pushes data from your data warehouse back into selected business applications. Please check Peliqan's documentation for details on "writeback" availability for specific connectors such as Linkedin Ads, not all Peliqan connectors support reverse ETL/writeback. Reverse ETL is useful for syncing enriched scores, customer health metrics, billing data, or product usage signals into native Linkedin Ads fields. Reverse ETL flows can run on a schedule, on demand, or be triggered by SQL conditions. Read the reverse ETL documentation for setup details.

What can I do with Linkedin Ads data once it's in Peliqan?

Once Linkedin Ads data lands in your data warehouse (such as Peliqan's built-in data warehouse or Fabric, Snowflake, BigQuery, Redshift or PostgreSQL), you can run SQL queries, build dashboards in Power BI, Tableau, Metabase, or Looker, combine it with data from other sources, feed it into AI agents through MCP servers, build Text-to-SQL and RAG workflows, or activate it through reverse ETL.

Peliqan also includes a built-in spreadsheet UI for ad hoc analysis without writing SQL.

Is the Linkedin Ads connector secure and GDPR compliant?

Peliqan is SOC 2 Type II certified, GDPR compliant, and ISO 27001 certified. Linkedin Ads credentials are stored encrypted at rest, all data transfers happen encrypted over TLS, and EU-resident data stays on EU infrastructure in the eu.peliqan.io region.

3 ways to get Linkedin Ads data into a warehouse

Native Linkedin Ads exports

  • Manual CSV exports from Linkedin Ads reports
  • Row limits per export and no scheduled sync
  • No incremental updates, no schema management
  • Breaks when admins change schema
  • No two-way writeback

Custom code with the Linkedin Ads API

  • Full control, but engineering-heavy to build
  • Must handle OAuth refresh and rate limits
  • Schema changes break pipelines silently
  • Ongoing maintenance burden on your team
  • Reverse ETL requires separate code

Linkedin Ads on Peliqan

  • Managed connector, no code required
  • Incremental syncs, automatic schema evolution
  • Bidirectional writeback for reverse ETL
  • Built-in warehouse, BI, and AI in one platform
  • SOC 2 Type II, GDPR compliant, EU hosted

Request a Linkedin Ads demo →

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