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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 revenue, orders, units sold, and average order value by sales channel.
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.
Create the Tiktok GMV source, then register Snowflake with its account identifier, username, database, schema, and password or private key. Link both through a datastream and target the "stores" table in the job.
Select concrete Tiktok GMV fields such as 10s LIVE Views, Ad click rate, Ad conversion rate, and Day of the month. You can rename the chosen columns, preview the result, and write them to Snowflake tables such as stores, customers, and products.
Configure the initial Tiktok GMV period separately from the recurring schedule for "stores". The source API determines how much history is available.
Choose an eligible date field as the partition for Tiktok GMV. Catchr can then replace the matching period in "stores"; without it, later runs append rows and may create duplicates.
With Tiktok GMV data, a Snowflake query can summarize revenue, orders, units sold, and average order value by sales channel. Use 10s LIVE Views and Ad click rate in a Snowflake view to create a reusable reporting layer for client analysis.
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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