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Connect LinkedIn Ads to Azure SQL

Connect LinkedIn Ads to Azure SQL and export selected accounts, metrics, and dimensions to your Azure SQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a LinkedIn Ads API pipeline.

Used by the world's leading companies

Export LinkedIn Ads data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize LinkedIn Ads data in Azure SQL

Bring all your LinkedIn Ads data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data freshness

Keep your AzureSQL tables up to date

Automatically sync new data from LinkedIn Ads so every dashboard, model, and report works with fresh information.

Analysis

Unify LinkedIn Ads with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

LinkedIn Ads metrics and dimensions available in Azure SQL

Access 78 metrics and 90 dimensions from LinkedIn Ads connectors including Cost In Local Currency, Impressions, Clicks, CTR, Conversions, One Click Leads, CPC (USD), CPM (USD), Total Engagements, Date, Account Name, Campaign Name, Campaign Objective Type, Campaign Type, Creative Type, Member Country, Member Industry, Member Job Function, Device Type and many more...

78

Metrics availables

90

Dimensions availables

Connect LinkedIn Ads to Azure SQL in minutes

Move your data from LinkedIn Ads to Azure SQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your LinkedIn Ads account

Authenticate your LinkedIn Ads account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Client A · Connected sources
5 sources ready
LinkedIn Ads 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step two

Choose the AzureSQL destination

Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.

Destination / Azure SQL Required fields
Host Required
catchr-reporting.database.windows.net
Username Required
catchr_loader
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your AzureSQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your AzureSQL table.

Export job / Azure SQL Example
Schema Destination
dbo
Table Per job
meta_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
Export readySelected fields · configured history
Every 6 hours

Review 30-day LinkedIn Ads campaign delivery in SQL.

This example summarizes spend, impressions, clicks, and click-through rate by campaign.

LinkedIn Ads.sql
BigQuery SQL
30-day window
SELECT
  campaign_name,
  SUM(spend) AS spend,
  SUM(impressions) AS impressions,
  SUM(clicks) AS clicks,
  SAFE_DIVIDE(
    SUM(clicks),
    SUM(impressions)
  ) AS ctr
FROM `your_project.marketing_raw.linkedin_ads_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY campaign_name
ORDER BY spend DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your LinkedIn Ads data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

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Before you schedule the job.

Answers about AzureSQL setup, available source data, schedules, table updates, and SQL use cases.

How does a LinkedIn Ads-to-Azure SQL workflow work in Catchr?

Connect LinkedIn Ads and add Azure SQL as the stored destination. Create a datastream, then save a job that sends the required records to the "advertisers" table.

Can I choose the LinkedIn Ads columns loaded into Azure SQL?

Select concrete LinkedIn Ads fields such as Account Notified On Creative Approval, Action Clicks, Ad Unit Clicks, and Date. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as accounts, advertisers, and campaigns.

Can I choose both history and frequency for a LinkedIn Ads Azure SQL job?

Choose how far back the first LinkedIn Ads load should go and how much recent data each "advertisers" run should refresh. Catchr splits large backfills into smaller intervals.

Can Catchr refresh only the recent LinkedIn Ads rows in Azure SQL?

For recurring LinkedIn Ads loads, assign an eligible partition field to "advertisers". Otherwise Catchr cannot match the refresh window and will append the returned records.

What business questions can LinkedIn Ads data answer in Azure SQL?

With LinkedIn Ads data, an Azure SQL query can summarize spend, impressions, clicks, and click-through rate by campaign. Join Account Notified On Creative Approval and Action Clicks with shared account or date keys to build a reusable performance model in Azure SQL.

Does my Azure SQL database need to exist before I connect it?

Yes. Connect an existing Azure SQL  database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Azure SQL  database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ? 

Our teams is always here to responds to any question you could have about our data connector.