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StackAdapt
Selected accounts
Configured job
Snowflake
Destination table
Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
StackAdapt
3 advertising accounts
Connected
Google Ads
2 advertising accounts
Connected
Google Analytics 4
1 web property
Connected
HubSpot
1 CRM portal
Connected
Add the account host, user, and database schema. Use a password for compatible users or a PEM private key for service accounts and stricter policies.
Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.
This example summarizes spend, impressions, clicks, and click-through rate by campaign.
Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.
Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.
Register StackAdapt, save the Snowflake connection details, and pair both systems in a datastream. The associated job previews and writes the selected columns to "campaigns".
Select concrete StackAdapt fields such as Atos, Audio Completion Rate, Audio Completions, and Day of the month. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as accounts, advertisers, and campaigns.
The "campaigns" job can begin with a historical StackAdapt fetch and continue on a recurring schedule. Available history and frequency depend on the source API and your plan.
Select a valid date field when configuring the StackAdapt job for "campaigns". Catchr deletes and rewrites the scheduled window, limiting duplicate rows across overlapping runs.
With StackAdapt data, a Snowflake query can summarize spend, impressions, clicks, and click-through rate by campaign. Turn Atos and Audio Completion Rate into a stable Snowflake view that analysts and reporting tools can query repeatedly.
Yes. Connect an existing Snowflake 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.
Connect your marketing platforms and build a data workflow your entire agency can use.
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