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ChatGPT Ads
Selected accounts
Configured job
Snowflake
Destination table
Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
ChatGPT Ads
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.
Add your ChatGPT Ads API key from Ads Manager, save your Snowflake connection details, and pair both systems in a datastream. You can then select the fields you need, preview the output, and load it into a Snowflake table.
You can select from 7 metrics and 107 dimensions, including spend, impressions, clicks, conversions, CTR, CPC, CPM, account details, campaign budgets, ad groups, and ads. Rename selected columns and organize them into Snowflake tables that fit your reporting model.
A Catchr job can start with an available historical fetch and continue with recurring loads into Snowflake. The accessible history and scheduling options depend on the ChatGPT Ads API and your Catchr plan.
Choose a supported date field when configuring the ChatGPT Ads job. Catchr deletes and rewrites the scheduled date window, helping limit duplicate rows when successive Snowflake loads overlap.
Snowflake queries can compare spend, impressions, clicks, conversions, CTR, CPC, and CPM across campaigns, ad groups, or ads. Agencies and freelancers can turn these results into reusable views for client dashboards and cross-channel 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.
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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