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Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your AzureSQL table.
This example summarizes impressions, reach, engagements, and engagement rate by post.
Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.
Answers about AzureSQL setup, available source data, schedules, table updates, and SQL use cases.
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".
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.
Define the first Youtube Analytics fetch, run frequency, and lookback window in the "media" job. Each scheduled run replaces data inside the configured period.
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.
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.
Yes. Connect an existing Azure SQL database first. The Catchr job creates and populates the destination table you configure inside that 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.
Our teams is always here to responds to any question you could have about our data connector.