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CallRail
Selected accounts
Configured job
Snowflake
Destination table
Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
CallRail
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 calls, answered calls, duration, and answer rate by acquisition source.
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.
Start with a connected CallRail source and an existing Snowflake database. Create a datastream between them, then configure the accounts, fields, schedule, and "numbers" table.
Select concrete CallRail fields such as Total Call Abandoned, Calls AVG Duration, Call Answer rate, and Day of the month. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as accounts, companies, and numbers.
Set an initial fetch period for CallRail, then choose the frequency and lookback window for the job writing to "numbers". Catchr rewrites that selected period on each run.
The partition field tells Catchr which CallRail rows in "numbers" belong to the period being refreshed. If you omit it, every run appends records rather than updating them.
With CallRail data, a Snowflake query can summarize calls, answered calls, duration, and answer rate by acquisition source. A query built around Total Call Abandoned and Calls AVG Duration can support trend reviews, account comparisons, and operational reporting.
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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