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Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
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.
Connect Apple Search Ads as a Catchr source. Add your existing Snowflake database, create a datastream, and configure a job that writes the selected fields to the "campaigns" table.
Select concrete Apple Search Ads fields such as Average Cost Per Acquisition Amount, Average Cost Per Acquisition Currency, Average CPM Amount, 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.
Catchr first processes the historical range configured for Apple Search Ads. Later runs update the "campaigns" table using the saved frequency and rolling import window.
Catchr uses the selected partition field to refresh the relevant Apple Search Ads period inside "campaigns". Leaving it blank changes the job to append-only behavior.
With Apple Search Ads data, a Snowflake query can summarize spend, impressions, clicks, and click-through rate by campaign. A Snowflake view comparing Average Cost Per Acquisition Amount and Average Cost Per Acquisition Currency can feed agency dashboards or downstream BI models.
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.
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Connect your marketing platforms and build a data workflow your entire agency can use.