Connect AppsFlyer to BigQuery
Send AppsFlyer in app events, organic in app events, retargeting in app events and 15 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset appsflyer
in_app_eventsorganic_in_app_eventsretargeting_in_app_eventsinstallsorganic_installs- 13 more data types
How to connect AppsFlyer and BigQuery
5 steps. You can preview the AppsFlyer data in Coupler.io before anything reaches BigQuery.
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 BigQuery.
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 BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the AppsFlyer data.
Step 5 of 5
Choose a write mode and schedule
Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.
Each run overwrites in_app_events with fresh AppsFlyer data.
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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 table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with AppsFlyer data.
Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.
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 BigQuery.
