Connect Google Analytics to PostgreSQL

Register Google Analytics, save the PostgreSQL connection details, and pair both systems in a datastream. The associated job previews and writes the selected columns to "pages".

Select concrete Google Analytics fields such as 1-day active users, 28-day active users, 7-day active users, and Normalized Year. You can rename the chosen columns, preview the result, and write them to PostgreSQL tables such as properties, sessions, and users.

The "pages" job can begin with a historical Google Analytics fetch and continue on a recurring schedule. Available history and frequency depend on the source API and your plan.

Select a valid date field when configuring the Google Analytics job for "pages". Catchr deletes and rewrites the scheduled window, limiting duplicate rows across overlapping runs.

With Google Analytics data, a PostgreSQL query can summarize users, sessions, conversions, and conversion rate by traffic source. Turn 1-day active users and 28-day active users into a stable PostgreSQL view that analysts and reporting tools can query repeatedly.

Yes. Connect an existing PostgreSQL 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.