> For the complete documentation index, see [llms.txt](https://docs.coupler.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.coupler.io/destinations/categories/dashboards/data_studio.md).

# Data Studio

Send data to Data Studio with scheduled pipelines that automatically refresh your BI dashboards without manual exports via Coupler.io.

Data Studio (formerly Google Data Studio) is Google's free business intelligence platform for building interactive dashboards and reports. It connects directly to your data and lets you visualize it with charts, tables, scorecards, and more — then share those reports with your team or clients.

Sending data through Coupler.io to Data Studio gives you a reliable, scheduled pipeline that keeps your dashboards fresh without manual exports.

## Why use Data Studio as a Coupler.io destination?

* **Any source, one dashboard** — combine data from Airtable, Amazon Ads, BigQuery, Pipedrive, Asana, and dozens of other sources into a single Data Studio report
* **Scheduled refreshes** — Coupler.io fetches and prepares your data on a schedule, so Data Studio always has fresh data ready when it auto-refreshes
* **Type enforcement** — Coupler.io detects column types automatically, so date, number, and text fields are recognized correctly in Data Studio
* **Pre-built dashboard templates** — get started faster with free Data Studio dashboard templates available at coupler.io/dashboard-examples
* **No connector limits** — link multiple data flows to a single report or spread data across reports as needed

## Prerequisites

* A Google account to authorize Data Studio and Coupler.io
* The **same Google account** must be used to log into both Data Studio and to authorize Coupler.io — mixing accounts causes a known connection error

## Quick start

{% hint style="success" %}
If you already have a Data Studio report you want to connect to, paste its URL into the **Report/data source URL** field in Advanced settings. This links your data flow directly to that report instead of creating a new one.
{% endhint %}

## How to connect

{% stepper %}
{% step %}
**Add a source to your data flow.** In Coupler.io, create a new data flow and configure your source — this can be any supported app or service such as Airtable, Amazon Ads, BigQuery, or Asana. You can add multiple sources and use Join, Append, or Aggregate transformations before the data reaches Data Studio.
{% endstep %}

{% step %}
**Select Data Studio as your destination.** In the Destination step of your data flow, choose Data Studio from the list and click **Continue**.
{% endstep %}

{% step %}
**Generate and authorize the data source.** Click **Generate Data Source**. You'll be prompted to authorize Data Studio with your Google account, then authorize Coupler.io with the same Google account. Complete both steps and confirm the connection back in Coupler.io. The data flow you're building will be pre-selected automatically.
{% endstep %}

{% step %}
**Configure destination settings.** Review the detected field types and adjust any that look incorrect — especially date columns, which need to be DATE or DATETIME type for Data Studio's date range controls to work. Optionally set a **Date range dimension** if you want to use date filters in your report.
{% endstep %}

{% step %}
**Run your data flow.** Click **Save and Run**. Wait for the run to complete successfully — you must have at least one successful run before you can create your Data Studio report or access advanced destination settings.
{% endstep %}

{% step %}
**Create your report in Data Studio.** Once the run succeeds, click **Connect** or **View Results** to open Data Studio. Add fields as dimensions and metrics, then build your charts and dashboards.
{% endstep %}
{% endstepper %}

## Supported features

| Feature              | Supported |
| -------------------- | --------- |
| Replace mode         | Yes       |
| Append mode          | Yes       |
| Automatic scheduling | Yes       |
| Type enforcement     | Yes       |
| Templates            | Yes       |


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.coupler.io/destinations/categories/dashboards/data_studio.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.