Empower your marketing team to run highly granular retargeting and lookalike campaigns on Google
Now deliver even more relevant ads by combining data from various sources within your data warehouse to fuel your remarketing campaigns on Google. And never show an ad to someone after they purchase the item you were promoting by automatically updating customer data in your Google Ads account. Use Cases
Learn how to send data to Google Ads from Hightouch
- 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
About Google AdsGoogle 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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CustomizableCentralize segmentation and customer profiles.
Source of truthYour warehouse is the source of truth for customer data.
Get data from all of your sources
Ways to get data into Google Ads
- Sync data from Airtable to Google Ads
- Sync data from Athena to Google Ads
- Sync data from BigQuery to Google Ads
- Sync data from Databricks to Google Ads
- Sync data from Looker to Google Ads
- Sync data from MySQL to Google Ads
- Sync data from PostgreSQL to Google Ads
- Sync data from Presto to Google Ads
- Sync data from Google Sheets to Google Ads
- Sync data from Rockset to Google Ads
- Sync data from Redshift to Google Ads
- Sync data from Snowflake to Google Ads
- Sync data from SQL Server to Google Ads