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Google Analytics 4 Redshift

Connect Google Analytics 4 to Redshift

Send Google Analytics 4 reports built from 84 metrics and 374 dimensions to Redshift on a schedule. Pick the properties, choose metrics and dimensions and filter by date. Refresh as often as every 15 minutes.

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Redshift schema google_analytics
  • report
Each Google Analytics 4 report lands in its own table. You pick the schema and table names.
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How to connect Google Analytics 4 and Redshift

6 steps. You can preview the Google Analytics 4 data in Coupler.io before anything reaches Redshift.

Step 1 of 6

Connect Google Analytics 4

Sign in to Google Analytics 4 and authorize Coupler.io. There's no API key to copy.

Sign in with Google Analytics 4

Step 2 of 6

Choose what to export

Pick the Google Analytics 4 data you want in Redshift.

PropertiesNot setChoose the properties available in your accounts.

Step 3 of 6

Set the report period

Choose the date range the report covers.

Start dateAny dateSpecify the start date of the period that should be covered in your report. By default, the start date is set to 60 days ago.
End dateAny dateSpecify the end date of the period that should be covered in your report. The default end date is today.

Step 4 of 6

Pick metrics and dimensions

Choose what to measure and how to break it down.

DimensionsNot setSelect one or more values for “dimensions”, e.g. “Achievement ID”, “Ad format”, “Ad source”, “Ad unit”, “App version”.
MetricsNot setSelect one or more values for “metrics”, e.g. “1-day active users”, “28-day active users”, “7-day active users”, “Active users”, “Ad unit exposure”.

Step 5 of 6

Connect Redshift

Enter your Redshift connection details, then the schema and table for the Google Analytics 4 data.

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

Step 6 of 6

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 report with fresh Google Analytics 4 data.

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Get the most of Google Analytics 4 to Redshift integration

Gather data icon

Gather data

Export data from numerous apps and sources into a single destination. Blend data from different apps to get a single source of truth.
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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.
Automate data icon

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.
Google Analytics 4 to Redshift questions

You sign in to Google Analytics 4 and authorize Coupler.io. There's no API key to copy.

Yes. Set the start date and end date to cover the period you need.

Yes. Pick from 84 metrics and 374 dimensions.

Yes, if the database user has CREATE privileges. Coupler.io creates the google_analytics schema and the report table on the first run.

With Replace, Coupler.io recreates report, so new Google Analytics 4 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 Google Ads or Facebook Ads, and join or append them before the data reaches Redshift.

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