TL;DR Short answer: LinkedIn Ads is the one ad platform that tells you which companies, industries and job functions saw your ads, and that B2B detail is what makes moving its data worthwhile. Warehouse ELT tools suit teams joining ad data with CRM and pipeline data; marketing data tools suit teams reporting in spreadsheets and dashboards. Seven options:
Airbyte Fivetran Supermetrics Funnel Improvado Hevo Data Windsor.ai The LinkedIn Ads constraint: access to the Marketing API requires LinkedIn's approval, versions are retired on a rolling schedule, and conversions keep updating after the click, so a managed connector with a lookback window saves real maintenance. LinkedIn Ads ETL tools extract campaign structure, spend and performance data from LinkedIn Campaign Manager and load it into a warehouse, spreadsheet or dashboard. Campaign Manager is fine for checking a single campaign, but B2B questions such as cost per opportunity or pipeline by target account need LinkedIn data joined with your CRM, which is where these tools come in.
Why move LinkedIn Ads data out of Campaign Manager? Campaign Manager reports on LinkedIn activity in isolation: impressions, clicks, spend, leads and conversions. The questions B2B marketers actually get asked span systems. Which campaigns produced pipeline, not just form fills? What does LinkedIn cost per opportunity compared with Google Ads? Which target accounts engaged before they converted? Answering those means landing LinkedIn data next to CRM, product and other ad channel data, and keeping history beyond what Campaign Manager exports conveniently.
How do the LinkedIn Ads ETL tools compare? Tool Best destination Demographic pivots Deployment Pricing model Airbyte Warehouse or database Yes, plus custom reports Cloud, self-hosted, Enterprise Flex Free self-hosted; Cloud volume-based; Pro and Flex capacity-based Fivetran Warehouse Yes Cloud, hybrid Monthly active rows Supermetrics Sheets, Looker Studio, Excel, warehouse Yes Cloud Subscription by destination and sources Funnel Warehouse, BI and Sheets Yes Cloud Subscription by data volume Improvado Warehouse and BI Yes Cloud, managed Custom enterprise pricing Hevo Data Warehouse Varies by stream Cloud Events Windsor.ai Sheets, Looker Studio, BigQuery Yes Cloud Subscription by connectors
Which LinkedIn Ads ETL tools should you consider? Seven tools, from warehouse-first ELT to marketing-first reporting:
1. Airbyte Airbyte is an open-source ELT platform with 700+ connectors. Its LinkedIn Ads source syncs accounts, campaign groups, campaigns and creatives, plus ad analytics broken down by campaign, creative, impression device and member demographics: company, company size, country, region, industry, job function and job title. If those streams do not match your reporting, you can define custom ad analytics reports with your own pivots and metrics.
On Airbyte Cloud you authenticate with LinkedIn through OAuth. On Airbyte Core you use your own LinkedIn developer application. Either way, LinkedIn Ads lands next to your CRM, product data and other ad channels in the same warehouse, which is where B2B attribution actually happens.
Pros Cons Member demographic pivots and custom reports Self-hosted setups need their own LinkedIn developer app LinkedIn next to CRM and 700+ other sources Transformation happens in the warehouse with SQL or dbt Self-hosted, Cloud or Enterprise Flex No built-in spreadsheet or dashboard layer
2. Fivetran Fivetran is a fully managed ELT service with 700+ connectors, including LinkedIn Ad Analytics. It handles authentication, schema changes and LinkedIn API version updates for you, and loads a standard schema into your warehouse. Fivetran completed its merger with dbt Labs in June 2026, so packaged dbt models for ad reporting sit naturally alongside it.
Fivetran bills on monthly active rows, and daily analytics tables broken down by many pivots can generate more active rows than their size suggests.
Pros Cons Fully managed, including API version upgrades Monthly active row pricing grows with pivot granularity Standard schema with dbt models for ad reporting Connector behaviour cannot be modified Reliable for hands-off teams Warehouse-only, with no spreadsheet destinations
3. Supermetrics Supermetrics is a marketing data connector best known for pulling LinkedIn Ads and other ad platforms into Google Sheets, Looker Studio and Excel, with warehouse destinations such as BigQuery and Snowflake available too. It suits marketing teams that report in spreadsheets and dashboards and want LinkedIn data refreshed on a schedule without involving data engineering.
Pros Cons Native Sheets, Looker Studio and Excel destinations Pricing rises with each destination and source Marketer-friendly setup and templates Less suited to joining with CRM data in a warehouse Covers most ad platforms in one tool Large historical backfills can be slow
4. Funnel Funnel is a marketing data hub that collects LinkedIn Ads alongside every other paid channel, then normalises spend, currencies and naming so cross-channel reporting lines up. It can export the cleaned data to a warehouse, BI tool or spreadsheet, which makes it a fit for marketing operations teams that own reporting themselves.
Pros Cons Normalises cost and naming across channels Built for marketing data, not general sources Exports to warehouses, BI tools and Sheets Subscription cost grows with data volume No engineering needed for day-to-day use Another layer between source and warehouse
5. Improvado Improvado is an enterprise marketing analytics platform that extracts LinkedIn Ads and hundreds of other marketing sources, transforms them into reporting-ready models and loads them into a warehouse or BI tool. Setup is typically services-led, which suits large marketing organisations that want a managed outcome rather than a self-serve tool.
Pros Cons Managed, services-led implementation Custom enterprise pricing Prebuilt marketing data models Overkill for a handful of ad accounts Broad marketing source coverage Less control over pipeline internals
6. Hevo Data Hevo Data is a no-code managed pipeline platform with 150+ connectors, including LinkedIn Ads, that loads into the major warehouses. It can transform data before it loads, using Python or a drag-and-drop editor, and prices on events, with a free tier for small volumes.
Pros Cons No-code setup into the warehouse Event-based pricing grows with reporting granularity Transformation before load Fewer LinkedIn report breakdowns than specialist tools Free tier for small accounts Cloud-only, with no self-hosted option
7. Windsor.ai Windsor.ai offers low-cost connectors that pull LinkedIn Ads into Google Sheets, Looker Studio, BigQuery and other destinations, with multi-touch attribution features on top. It is a common choice for smaller teams and agencies that want LinkedIn reporting without a data stack.
Pros Cons Low entry price Smaller vendor than the incumbents Sheets, Looker Studio and BigQuery destinations Less depth for complex warehouse modelling Attribution features included Fewer enterprise controls
What should you check before syncing LinkedIn Ads data? LinkedIn's Marketing API has a few behaviours that catch teams out. Check how each tool handles them:
API access and tokens: LinkedIn's advertising APIs require an approved developer application, and access tokens expire. Managed tools handle approval and refresh for you; self-hosted setups need their own app and a plan for re-authentication.API versioning: LinkedIn publishes versioned Marketing APIs and retires old versions on a rolling schedule. Make sure the tool keeps up, or pipelines break when a version is sunset.Conversion lookback: conversions and leads are attributed after the click, so recent days keep changing. Re-sync a lookback window rather than treating yesterday's numbers as final.Demographic pivots: company, industry and job-function breakdowns are LinkedIn's main B2B advantage, but they are approximate and can be withheld for small audiences, so totals across pivots will not always match campaign totals.Lead gen forms: Lead Gen Form responses need separate API permissions. If you want leads in the warehouse rather than pushed to a CRM, confirm the tool supports them.Currency and accounts: cost is reported in each ad account's currency. If you run several ad accounts, check the tool syncs them all and normalises currency for reporting.The LinkedIn Marketing API exposes both campaign structure and performance:
Account structure: ad accounts, account users, campaign groups, campaigns and creatives, with budgets, bids, targeting and status. Performance metrics: impressions, clicks, spend, engagement, video views, leads and conversions, by day or other time granularity. Demographic breakdowns: performance by member company, company size, industry, job function, job title, seniority, country and region. Conversions and leads: conversion rules and attributed conversions, and Lead Gen Form responses where API access allows. Joined with CRM opportunities, the company-level breakdowns support account-based reporting that no other ad platform's data can provide.
How do you start pulling data from LinkedIn Ads? If you decide to test Airbyte, setting up a LinkedIn Ads pipeline takes three steps.
Step 1: Set up LinkedIn Ads as a source In Airbyte, open Sources, choose New source and select LinkedIn Ads . On Airbyte Cloud, authenticate with your LinkedIn account; on Airbyte Core, enter the credentials from your LinkedIn developer application. Set a start date, optionally limit the sync to specific ad account IDs, and add any custom ad analytics reports with the pivots and time granularity you need.
Step 2: Set up a destination Pick where your LinkedIn Ads data should land: a warehouse such as BigQuery, Snowflake or Databricks, a database, or another Airbyte destination such as Google Sheets.
Step 3: Configure the connection Select the streams you need, typically campaigns, creatives and the analytics breakdowns you report on, then set a daily sync. Join the data with your CRM in the warehouse to report on pipeline rather than clicks. The process is the same whether you deploy Airbyte Open Source or start with Airbyte Cloud .
Which LinkedIn Ads ETL tool should you choose? Start from where the reporting happens. If LinkedIn data needs to meet CRM and pipeline data in a warehouse, choose a warehouse ELT tool: Airbyte for control, custom reports and many other sources, Fivetran or Hevo for a fully managed pipeline. If the marketing team reports in spreadsheets and Looker Studio, Supermetrics or Windsor.ai get there fastest. If you need every ad channel normalised for cross-channel reporting, Funnel, or Improvado for a managed enterprise setup.
For a wider view of the market, see our guide to the top data integration tools .
Sync LinkedIn Ads to your warehouse with Airbyte Replicate LinkedIn campaigns, creatives and analytics by company, industry and job function, next to your CRM and 700+ other sources, self-hosted, on Airbyte Cloud or with Enterprise Flex.
Try Airbyte Cloud free for 14 days or talk to our team .
Frequently Asked Questions (FAQs) 1. How do you export LinkedIn Ads data to Google Sheets? For a one-off export, download a CSV report from LinkedIn Campaign Manager. For scheduled refreshes, use a connector such as Supermetrics or Windsor.ai, or Airbyte with its Google Sheets destination, which update the sheet automatically on a schedule.
2. How do you load LinkedIn Ads data into BigQuery? Connect LinkedIn Ads to a warehouse ELT tool such as Airbyte, Fivetran or Hevo, choose BigQuery as the destination, and sync daily with a lookback window so late conversions are captured.
3. Can you get company and job title data from LinkedIn Ads? Yes. The Marketing API breaks performance down by member company, company size, industry, job function, job title, seniority and location. These breakdowns are approximate and can be withheld for small audiences, so they will not always sum to campaign totals.
4. Does the LinkedIn Ads API include lead gen form responses? Lead Gen Form responses are available through LinkedIn's API, but they require separate permissions from ad reporting. Check whether your ETL tool supports them, or send leads directly to your CRM through LinkedIn's native integrations.
Suggested reads LinkedIn Pages ETL Tools
Google Ads ETL Tools
HubSpot ETL Tools
Marketo ETL Tools
