Sync data from Amazon Redshift to Google Ads

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Use Cases

Improve your match rate in Google so that you never show another ad to the same person after they have purchased an item you promoted by automatically updating your customer data in your Google Ads account.

Upload lists to Google Ads to run ads based on certain attributes within your database, such as people who have visited your site
Run lookalike audiences on Google Ads using subsets of your users rather than all of them
Continuously fuel your Google Ads custom audiences with live data so that data never goes stale

Why Sync Data from Amazon Redshift to Google Ads

Every company advertises through Google Ads regardless of size or industry. Advertising is expensive though, and figuring out how to increase ROAS, lower CAC, and improve campaign performance is extremely important. All of your unique customer data (e.g. product usage data, key events, custom audiences, etc.) lives in Redshift. However, custom integrations are prone to failure and manual CSV files become stale really fast. To truly take your marketing campaigns to the next level, your marketing team needs to be able to self-serve and sync custom audiences to Google Ads at a moment’s notice.

How our customers activate their data

Don’t just keep your data locked in dashboards. Send your valuable data models like LTV, ARR & more to the tools your teams live in day-to-day so that together you can grow your business.

Step By Step Guide

Select the data you need from Amazon Redshift
Write SQL directly, define the data you need in our Visual Audience Builder or import from existing tables and dbt models.
Choose Google Ads from our catalog
Connect to Google Ads with your credentials.
Manage Mappings
Configure the mappings that define how fields from your query should map to fields in the destination.
Set up a schedule and begin syncing data
Multiple basic and advanced scheduling options are available. Set up one of these and watch as data begins syncing!

By data teams, for data teams

No scripts. No APIs. Just SQL.

Don’t waste your time building custom integrations with each SaaS tool. Focus on building data models instead.

Leverage the Modern Stack

Use your existing dbt and Looker models. Trigger syncs with Airflow, dbt Cloud, Dagster, or by hitting our API.

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Observability and Alerting

Get alerted when syncs fail in Datadog, Pagerduty, & Slack. Then, use our live debugger which records all responses from API requests to fix errors.

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Version control with Git

Hightouch encourages engineering best practices by bi-directionally syncing all configuration changes with git.

Learn about Git Sync

Turn your warehouse into your CDP

Don't wait 6 months to implement a CDP. Hightouch turns your warehouse into a CDP so you can activate your data now and use flexible data models

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Learn more about our data engineering features

Why Hightouch

No Scripts. No APIs. No CSVs. Just SQL
Don’t waste your time building custom integrations for each of your SaaS tools. Activate your data instantly across all of your business tools.
Flexible Data Models
Build your data models once and reuse them anywhere. Leverage your data models in the warehouse, write SQL statements, or take advantage of your existing BI tools.
Self-Serve Audiences
Enable business teams to build custom audiences without SQL using a simple drag and drop interface leveraging the data models your team has already set in place.
Scale
Sync hundreds, thousands, or millions of rows from your warehouse without worrying about API failures or rate limits.
Deep Observability
Track changes using Git for version control and monitor your syncs in real-time using our debugger and alerts

About
Amazon Redshift

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. It is built on Amazon Web Services

Learn more about Amazon Redshift

About
Google Ads

Google Ads remarketing allows you to advertise to people who have previously visited your website, used your mobile app, or who are in your CRM databases, by showing them relevant ads when they visit other sites or search on Google. The user lists used in remarketing can also be used for other types of audience targeting, such as Customer Match.

Learn more about Google Ads

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