Connect Churnkey to BigQuery
Send Churnkey sessions and session aggregations to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset churnkey
sessionssession_aggregations
How to connect Churnkey and BigQuery
4 steps. You can preview the Churnkey data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Churnkey
Enter your Churnkey API key and app ID. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Churnkey data you want in BigQuery.
Step 3 of 4
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Churnkey data.
Step 4 of 4
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 sessions with fresh Churnkey data.
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Build your Churnkey integrations with these destinations
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2 data types, including Sessions and Session aggregations.
With your Churnkey API key and app ID, entered once when you add the connection.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Churnkey 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 Pipedrive or Calendly, and join or append them before the data reaches BigQuery.
