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PostHog
Selected accounts
Configured job
Snowflake
Destination table
Join marketing, finance, CRM, and product data inside the same warehouse.
Metrics availables
Dimensions availables
PostHog
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 PostHog with your API key and explicit base URL, save your Snowflake connection details, then pair both systems in a datastream to select, preview, and write PostHog event fields.
You can select from 1 metric and 41 dimensions, including Records, UTM Campaign, Date, hour, week, month, quarter, and year, then rename the chosen columns before writing them to Snowflake.
A Snowflake job can begin with a historical PostHog event fetch and continue on a recurring schedule. Catchr follows PostHog's returned pagination links, while available history and frequency depend on the source API and your plan.
Select the PostHog Date field when configuring the job. Catchr deletes and rewrites the scheduled date window, helping limit duplicate event rows across overlapping Snowflake loads.
Use Records to count exported event rows and analyze campaign-tagged event volume by UTM Campaign, date, hour, week, month, quarter, or year in reusable Snowflake queries and reporting views.
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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