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Connect Churnkey to Redshift

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

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Redshift 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 Redshift

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

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 Redshift.

Step 3 of 4

Connect Redshift

Enter your Redshift connection details, then the schema and table for the Churnkey data.

Hostexample-cluster.abc123.us-east-1.redshift.amazonaws.comCluster endpoint, without the database name
Port5439Default is 5439
DatabaseanalyticsThe target database name
TablesessionsCreated automatically on the first run
Show 3 more fields Show fewer fields
UsercouplerUser with CREATE and INSERT privileges
Password••••••••••••The database user's password
SchemachurnkeyCreated automatically if it doesn't exist

Step 4 of 4

Choose a write mode and schedule

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

Write mode

Each run drops and recreates sessions with fresh Churnkey data.

Get the most of Churnkey to Redshift integration

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Gather data

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Understand data

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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

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Churnkey to Redshift 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, if the database user has CREATE privileges. Coupler.io creates the churnkey schema and the sessions table on the first run.

With Replace, Coupler.io recreates sessions, so new Churnkey columns appear automatically. With Append, the table keeps its schema, so add the column yourself or switch to Replace.

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 Redshift.

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