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Loader Google Analytics Audience

Data In/ Data Out

Data In

A CSV file named export.csv, file should be in folder data/in/tables/.


export.csv should only have two columns.

-1st column with customer_entity_id

-2nd column with google_client_ids tagged to the customer and the values need to be in json array format.

Example of export.csv. Column names need not follow examples given.

 

customer_entity_id

google_client_ids

002ca22b2249514125f34a4caace2c8c

["1146720615.1594475259"]

10278832e8dd78d0095bf0022b7cb77d

["328282852.1594253327", "343221314.1594879134"]

Data Out

N/A

Learn more: about the folder structure please go to this article.

Parameters

Screenshot 2021-11-29 at 12.51.36 PM.png

GA Property (required)

Google Analytics Tracking ID
To find it Login to your Google Analytics account -> Admin -> Account Settings -> Tracking Info -> Tracking Code -> Tracking ID

Audience Name (required)

The name of the audience segment you will be loading.

Google Client ID Column Name (required)

The name of the column containing Google Client IDs in export.csv


Channels for Activation

By exporting your segmented audience into the Google Analytics destination, you unlock the potential to precisely target and engage with users across various Google platforms like YouTube Ads, Google Hotel Center, Google Merchant Center, and more. This integration provides a seamless data flow and insights, optimizing your marketing strategies for improved audience reach and engagement.

  • YouTube Ads: This integration enables precise targeting by exporting segmented audiences from Google Analytics, ensuring tailored video content reaches the right viewers on YouTube, maximizing engagement and ad impact.

  • Google Hotel Center: Optimize your hospitality-focused campaigns by managing crucial data within Google Ads, streamlining strategies for pricing, availability, and promotions, and ensuring effective hotel marketing. 

  • Google Merchant Center: Seamlessly upload store and product data across Google services, empowering Shopping campaigns and dynamic remarketing while amplifying product visibility across diverse Google platforms.

Learn more: about integrations with Google Analytics and Google Ads here.