06:00 UTC
Comment Sold
Selected accounts
Configured job
Snowflake
Destination table
Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
Comment Sold
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.
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 CommentSold with your API token and Shop ID, save your Snowflake connection details, then pair both systems in a datastream and select the columns to load.
You can build Snowflake tables from CommentSold customer and order data, using fields such as payment totals, subtotals, taxes, shipping costs, coupon discounts, customer details, and shipping locations.
A CommentSold job can start with a historical data fetch and continue with recurring Snowflake loads. The available history and scheduling frequency depend on the CommentSold API and your Catchr plan.
Use the order created_at field when configuring the job. Catchr deletes and rewrites the scheduled date window, helping limit duplicate rows across overlapping Snowflake loads.
Freelancers and agencies can query payment totals, taxes, shipping costs, coupon discounts, and unique customers, then break results down by date or shipping location for reusable commerce reports.
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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