Connect RD Station Marketing to PostgreSQL
Send RD Station Marketing analytics conversions, analytic emails, analytics funnels and 8 more data types to PostgreSQL on a schedule. Filter by date. Refresh as often as every 15 minutes.
PostgreSQL
schema rd_station_marketing
analytics_conversionsanalytic_emailsanalytics_funnelsanalytics_workflow_emails_statisticsemails- 6 more data types
How to connect RD Station Marketing and PostgreSQL
4 steps. You can preview the RD Station Marketing data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 4
Connect RD Station Marketing
Sign in to RD Station Marketing and authorize Coupler.io. There's no API key to copy.
Sign in with RD Station Marketing
Step 2 of 4
Choose what to export
Pick the RD Station Marketing data you want in PostgreSQL.
Show 3 more data types Show fewer data types
Step 3 of 4
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the RD Station Marketing data.
Show 3 more fields Show fewer fields
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in PostgreSQL. Run it as often as every 15 minutes.
Each run deletes the existing rows in analytics_conversions and loads fresh RD Station Marketing data.
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11 data types, including Analytics conversions, Analytic emails, Analytics funnels, Analytics workflow emails statistics and Emails.
You sign in to RD Station Marketing and authorize Coupler.io. There's no API key to copy.
Yes. Set the start date to cover the period you need.
Yes, if the database user has CREATE privileges. Coupler.io creates the rd_station_marketing schema and the analytics_conversions table on the first run.
Yes. Append adds new rows to analytics_conversions on each run, while Replace swaps in a fresh copy. With Append, add new RD Station Marketing columns to the table yourself before the next run.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example GoHighLevel or Google Ads, and join or append them before the data reaches PostgreSQL.
