Back to Blog
Google Cloud

Send data from BigQuery to Google Ads in under 5 minutes

Chris Sell

Chris Sell

The data you have on your customers is incredibly valuable. The only pesky problem is it is locked away in your Cloud Data Warehouse so your business teams can’t use it easily for marketing and sales campaigns.

Today we’re going to show you how you get customer data from BigQuery to Google Ads to target your Search, Youtube, Gmail, and Display ads on Google. And we’re going to do it in less time than it takes to make a cup of coffee.

But, first, let’s take a quick step back. Why send your data to Google Ads in the first place? You may have seen some of our reasoning from our posts on other channels, but we see several common use cases across clients where bringing the power of BigQuery to Google Ads can create real business value. Some of the common use cases we see include:

  1. Best Customer Lookalikes — Exporting lists of your best customers to Google Ads to find “similar” users to acquire.
  2. Churn Re-activation — Exporting lists of customers who have churned and you are trying to win back based on what they purchased in the past.
  3. Free to Paid Conversion — Exporting lists of free sign-ups you are trying to convert to paid customers.
  4. Upsell Non-Email Openers — The majority of your customers don’t read your emails, unfortunately. For those non-readers, you can get in front of them on Google and Youtube for cross-selling and upsell to new products. This is a clever use case we see all the time.

When activating your BigQuery customer data in Google there are a few key elements to consider:

  1. One time vs Ongoing Sync — Do you want the customer segment in BigQuery to be sent once to Google Ads? Or do you want it to update every day based on which customers now fit your segment criteria (ie. churned customers). Usually, we see customers want ongoing sync, but find it difficult to implement in practice.
  2. Measurement — Are you going to hold back any portion of your customer segment as a control group to measure if Google Ads is driving incremental revenue?

With GrowthLoop you can start syncing your BigQuery data to Google Ads in a few simple steps:

Send data from BigQuery to Google Ads

  1. Setup BigQuery as a Source
  2. Setup Google Ads as a Destination
  3. Create customer segment based on the data you have in BigQuery
  4. Select a treatment/control group
  5. Export to Google Ads

Activate BigQuery Data with GrowthLoop Today! 

Make use of your first-party data by connecting it with your advertising platforms. GrowthLoop facilitates data-driven marketing with our data activation platform. GrowthLoop is here to streamline your data-driven marketing strategies by accelerating data activation. Within minutes, activate your raw data sets to over 30 destinations, including Google Ads.

Ready to get started? Schedule your free demo with our software specialists

Share on social media: 

More from the Blog

Snowflake
Guide: Using the GrowthLoop composable CDP on Snowflake

Guide: Using the GrowthLoop composable CDP on Snowflake

Explore how a composable CDP on top of your Snowflake data cloud will help you build more effective campaigns that reduce churn and improve ROI.

Google Cloud
Guide: Using the GrowthLoop composable CDP on BigQuery

Guide: Using the GrowthLoop composable CDP on BigQuery

Learn the benefits of building a composable CDP on top of your data warehouse in BigQuery and how brands like Mercari and the Boston Red Sox have used this solution to leverage customer insights for higher ROI.

Press Releases
Future-proof your acquisition marketing in a cookieless world with GrowthLoop and MetaRouter

Future-proof your acquisition marketing in a cookieless world with GrowthLoop and MetaRouter

GrowthLoop, the leader in composable Customer Data Platforms (CDP), proudly announces its partnership with MetaRouter, the trailblazers in server-side data infrastructure.

Looking for guidance on your Data Warehouse?

Supercharge your favorite marketing and sales tools with intelligent customer audiences built in BigQuery, Snowflake, or Redshift.

Get Demo