Connect AppsFlyer to PostgreSQL
Send AppsFlyer in app events, organic in app events, retargeting in app events and 15 more data types to PostgreSQL on a schedule. Filter by date. Refresh as often as every 15 minutes.
PostgreSQL
schema appsflyer
in_app_eventsorganic_in_app_eventsretargeting_in_app_eventsinstallsorganic_installs- 13 more data types
How to connect AppsFlyer and PostgreSQL
5 steps. You can preview the AppsFlyer data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 5
Connect AppsFlyer
Enter your AppsFlyer app ID and API token. You only do this once per account.
Step 2 of 5
Choose what to export
Pick the AppsFlyer data you want in PostgreSQL.
Show 10 more data types Show fewer data types
Step 3 of 5
Fine-tune the export
Optional settings for this AppsFlyer export.
Step 4 of 5
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the AppsFlyer data.
Show 3 more fields Show fewer fields
Step 5 of 5
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 in_app_events and loads fresh AppsFlyer data.
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Build your AppsFlyer integrations with these destinations
Get the most of AppsFlyer to PostgreSQL integration
Gather data
Understand data
Automate data
Act on data
18 data types, including In app events, Organic in app events, Retargeting in app events, Installs and Organic installs.
With your AppsFlyer app ID and API token, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
Yes, if the database user has CREATE privileges. Coupler.io creates the appsflyer schema and the in_app_events table on the first run.
Yes. Append adds new rows to in_app_events on each run, while Replace swaps in a fresh copy. With Append, add new AppsFlyer 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.
