Home > Destinations > Azure SQL > Youtube Analytics

Connect Youtube Analytics to Azure SQL

Connect Youtube Analytics 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 Youtube Analytics API pipeline.

Used by the world's leading companies

Export Youtube Analytics data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Youtube Analytics data in Azure SQL

Bring all your Youtube Analytics 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 Youtube Analytics so every dashboard, model, and report works with fresh information.

Analysis

Unify Youtube Analytics with the rest of your business data

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

Youtube Analytics metrics and dimensions available in Azure SQL

Access 36 metrics and 180 dimensions from Youtube Analytics connectors including Views, Estimated Minutes Watched, Average View Duration, Subscribers Gained, Estimated Revenue, Date, Country, Device Type, Insight Traffic Source Type, Subscribed Status and many more...

36

Metrics availables

180

Dimensions availables

Connect Youtube Analytics to Azure SQL in minutes

Move your data from Youtube Analytics 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 Youtube Analytics account

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

Client A · Connected sources
5 sources ready
Youtube Analytics 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 Youtube Analytics organic content performance in SQL.

This example summarizes impressions, reach, engagements, and engagement rate by post.

Youtube Analytics.sql
BigQuery SQL
30-day window
SELECT
  post_id,
  SUM(impressions) AS impressions,
  SUM(reach) AS reach,
  SUM(engagements) AS engagements,
  SAFE_DIVIDE(
    SUM(engagements),
    SUM(impressions)
  ) AS engagement_rate
FROM `your_project.marketing_raw.youtube_analytics_content_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY post_id
ORDER BY engagements DESC;
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your Youtube Analytics 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.

Can Catchr send Youtube Analytics records directly to Azure SQL?

Add Youtube Analytics in Sources and connect the existing Azure SQL database in Storage. A datastream defines the route, while the job loads the chosen fields into "media".

How much control do I have over Youtube Analytics fields in Azure SQL?

Select concrete Youtube Analytics fields such as Ad Impressions, Annotation Click Through Rate, Annotation Clickable Impressions, and Date. You can rename the chosen columns, preview the result, and write them to Azure SQL tables such as accounts, profiles, and posts.

How should I configure recurring Youtube Analytics imports in Azure SQL?

Define the first Youtube Analytics fetch, run frequency, and lookback window in the "media" job. Each scheduled run replaces data inside the configured period.

How do I prevent duplicate Youtube Analytics rows in Azure SQL?

Use a supported date field to partition "media". Recurring Youtube Analytics runs can then update the selected window instead of adding another copy of the same period.

How can a team use Youtube Analytics data after it reaches Azure SQL?

With Youtube Analytics data, an Azure SQL query can summarize impressions, reach, engagements, and engagement rate by post. Model Ad Impressions and Annotation Click Through Rate in SQL, then expose the result to dashboards, internal tools, or recurring client reports.

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.