Connect CallRail to Data Studio
Send CallRail companies, users, calls and 1 more data type to Data Studio on a schedule. Filter by date. Refresh as often as every 15 minutes.
CallRail report
Data source: CallRail
How to connect CallRail and Data Studio
4 steps. You can preview the CallRail data in Coupler.io before anything reaches Data Studio.
Step 1 of 4
Connect CallRail
Enter your CallRail API key and account ID. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the CallRail data you want in Data Studio.
Step 3 of 4
Connect Data Studio
Click Generate Data Source and authorize Data Studio and Coupler.io with the same Google account. After the first run, open the report and add your CallRail fields.
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in Data Studio. Run it as often as every 15 minutes.
Each run overwrites the data set with a fresh snapshot of CallRail data.
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Build your CallRail integrations with these destinations
Get the most of CallRail to Data Studio integration
Gather data
Understand data
Automate data
Act on data
4 data types, including Companies, Users, Calls and Conversations.
With your CallRail API key and account ID, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
Through the Coupler.io community connector. Authorize Coupler.io and Data Studio with the same Google account, then add the CallRail data source to a report.
Coupler.io and Data Studio refresh separately, and Data Studio refreshes data sources every 12 hours by default. Lower its data freshness setting if you refresh CallRail more often.
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 Data Studio.
