> For the complete documentation index, see [llms.txt](https://community.commandersact.com/adloop/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://community.commandersact.com/adloop/v-exports-center/export-destinations/google-analytics-destination.md).

# Google Analytics Destination

> The **Google Analytics** export connector concerns what Google calls ' *Cost Data* ', i.e. the ability to import Impression, Clicks and Adspend metrics from the selected Data Sources in the Google Analytics Acquisition reports against the UTM dimensions.

### How often will the import happen?

> Once the connector is in place, Adloop will send daily data from the previous day. To ensure quality data, Adloop will also send data from D-3 on a daily basis (this may change as we indicate in our \[\[quality policy|Data-Quality]]).

## A. Requirements for using the Google Analytics connector (cost data)

> Only data from campaigns not managed by **Google** can be imported by this connector. Therefore, data from campaigns managed in Google Ads or Google Campaign Manager will not be imported.

### 1. Prepare the Matching between Data Sources and Google Analytics UTM

**Google Analytics** identifies the acquisition sources thanks to the **UTM** parameters (Source, Medium, Campaign etc.). The Platforms **Data Sources** have another form of nomenclature with specific **dimensions.**

> Matching consists in matching the dimensions of the Platforms **Data Sources** you want to import with the UTM values of **Google Analytics** . This way Google will know where to put the data.

For more information about Matching, see the \[\[dedicated section|Matching]].

### 2. Create a Dataset in Google Analytics

To create a Dataset, follow the procedure below:

**Admin > Data Import > Create**

![](https://3498010832-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F3KEERJBEyYQ7ZxIIMK79%2Fuploads%2Fgit-blob-ac1f0861ace3b098b411f04416c443c384a69d06%2Fimage-20220301-155724.png?alt=media)

Select **Cost Data** then **Continue**

![](https://3498010832-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F3KEERJBEyYQ7ZxIIMK79%2Fuploads%2Fgit-blob-1502f597f088fdc34e587001db2c27ee5812bfeb%2Fimage-20220301-155835.png?alt=media)

Give a name to the **Dataset** and select the **Views** it will impact (one or more)

![](https://3498010832-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F3KEERJBEyYQ7ZxIIMK79%2Fuploads%2Fgit-blob-a5e25e992584fdfa5d4ba115a820d81740af3c87%2Fimage-20220301-155930.png?alt=media)Indicate the Data that will be sent as shown in the screenshot below (in yellow, what must be added or selected) :

![](https://3498010832-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F3KEERJBEyYQ7ZxIIMK79%2Fuploads%2Fgit-blob-c55414129b6eb7c69ea5cd20cdaa574b01e33f19%2Fimage-20220301-160232.png?alt=media)

> Do not forget to select the **Overwrite** option. This is because Adloop sends data over several days to ensure that the indicators are completely reliable (see information on \[\[data quality|Data-Quality]]). If you leave the Summation option, the data will be added instead of replaced.

After validation the Google Analytics data set is created and you can **copy its ID** :

![](https://3498010832-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F3KEERJBEyYQ7ZxIIMK79%2Fuploads%2Fgit-blob-e25348eb96c556d79d95ef9dda639125ccf4ccb3%2Fimage-20220301-160327.png?alt=media)

## B. Creating the Export Destination and the Export in Adloop

### 1. Create the Export Destination

In the Export Destination, select the following connector:

![](https://3498010832-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F3KEERJBEyYQ7ZxIIMK79%2Fuploads%2Fgit-blob-637436948309ec93105c93323091c4974118ae23%2Fimage-20210630-170828.png?alt=media)Follow the configuration process:

* Name of the Destination
* Google Analytics account to send the data to

until you get to the screen where you are asked for the **Data Set ID** : (the ID retrieved from Google Analytics above)

![](https://3498010832-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F3KEERJBEyYQ7ZxIIMK79%2Fuploads%2Fgit-blob-7eae81fd74e64759b5f2116b4ec339bb24d00d63%2Fimage-20220301-160555.png?alt=media)

Validate everything and that's it, your Destination is ready.

### 2. Create the Export itself

No difficulties in this process.

Step 1: Select the Destination you just created![](https://3498010832-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F3KEERJBEyYQ7ZxIIMK79%2Fuploads%2Fgit-blob-f268609fd3753908df2b8a471cdeb196cee8e2e2%2Fimage-20210707-092000.png?alt=media)

Step 2: Select the Data Sources you want to send to Google Analytics

> This is where you need to make sure you have configured consistent matching rules for the **Data Sources** you want to send, otherwise you will get an error like this:

![](https://3498010832-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F3KEERJBEyYQ7ZxIIMK79%2Fuploads%2Fgit-blob-caf34723023590fa88088274c8f2a44994d1f43d%2Fimage-20210707-092033.png?alt=media)

Step 3: Name your export