Connect Google Ads to PostgreSQL

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

Select concrete Google Ads fields such as Impr. (Abs. Top) %, Active View avg. CPM, Active View viewable CTR, and Accent color (responsive). You can rename the chosen columns, preview the result, and write them to PostgreSQL tables such as accounts, advertisers, and campaigns.

The "ad groups" job can begin with a historical Google Ads 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 Ads job for "ad groups". Catchr deletes and rewrites the scheduled window, limiting duplicate rows across overlapping runs.

With Google Ads data, a PostgreSQL query can summarize spend, impressions, clicks, and click-through rate by campaign. Turn Impr. (Abs. Top) % and Active View avg. CPM 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.