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Connect Churnkey to Snowflake

Send Churnkey sessions and session aggregations to Snowflake on a schedule. Refresh as often as every 15 minutes.

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Snowflake schema churnkey
  • sessions
  • session_aggregations
Each Churnkey data type lands in its own table. You pick the schema and table names.
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How to connect Churnkey and Snowflake

4 steps. You can preview the Churnkey data in Coupler.io before anything reaches Snowflake.

Step 1 of 4

Connect Churnkey

Enter your Churnkey API key and app ID. You only do this once per account.

API key••••••••••••
App ID••••••••••••

Step 2 of 4

Choose what to export

Pick the Churnkey data you want in Snowflake.

Step 3 of 4

Connect Snowflake

Sign in to Snowflake with OAuth, then enter the database, schema, and table for the Churnkey data.

DatabaseANALYTICSThe target Snowflake database
SchemachurnkeyDefaults to public
TablesessionsCreated automatically on the first run

Step 4 of 4

Choose a write mode and schedule

Every run either replaces or appends the data in Snowflake. Run it as often as every 15 minutes.

Write mode

Each run deletes the existing rows in sessions and loads fresh Churnkey data.

Get the most of Churnkey to Snowflake integration

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Gather data

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Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
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Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
Churnkey to Snowflake questions

2 data types, including Sessions and Session aggregations.

With your Churnkey API key and app ID, entered once when you add the connection.

Yes. With the required privileges, Coupler.io creates missing schemas and tables in your database on the first successful run.

Yes. Append adds new rows to sessions on each run, while Replace swaps in a fresh copy. With Append, add new Churnkey 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 Pipedrive or Calendly, and join or append them before the data reaches Snowflake.

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