Sync data from
Trino to Google Retail
Connect your data from Trino to Google Retail with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
Trusted by data teams at
Trusted by data teams at
Integrate your data in 3 easy steps
01
Add your source and destination
Connect to 15+ data sources, like Trino, and 150+ destinations, like Google Retail.
02
Define your model
Use SQL or select an existing dbt or Looker model.
03
Sync your data
Define how fields from your model map to Google Retail, and start syncing.
Model your Trino data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
SQL Editor
Create and Edit SQL from your browser. Hightouch supports SQL native to Trino.
Table Selector
Select available tables and sheets from Trino and sync using existing views without having to write SQL.
Customer Studio
For less technical users, pass traits and audiences from Trino using our visual segmentation builder.
Why is it valuable to sync Trino data to Google Retail?
Thanks to Trino, it's easier than ever to access your customer data, run complex queries, and segment your customers/users into various categories or audiences.
However, to target users and send conversion data to Google Retail, you need access to all of the unique behavioral data (e.g., last-login date, items in cart, pages viewed, etc.) and core business metrics like lifetime value, workspaces, subscriptions, annual recurring revenue, etc. that lives in Trino. You then need to be able to package this data to send to Google Retail in the format expected. Plus, you want to do this in a real-time and automated way.
Google Retail is only as good as the data you give them, and if you truly want to optimize your ad spend, increase your match rates, and drive conversions, you need to provide custom data from Trino within your warehouse.
Maybe you want to retarget users who abandoned their shopping cart in the last seven days, or upload a list of high-value customers to identify potential lookalike audiences, or perhaps you want to upload offline conversion events to reduce your customer acquisition costs and increase your return on ad spend.
Why should you use reverse ETL to connect Trino and Google Retail data?
In the past, uploading customer data to Google Retail meant hopping back and forth between your various SaaS applications or asking your data team for CSV files. Neither of these options is preferable because marketing teams want to self-serve, and data teams don't enjoy constantly fulfilling one-off marketing requests.
Even worse, if you truly want to optimize your advertising campaigns, you need to be uploading fresh data consistently. Non-fresh data can be expensive for ads. If you're using CSVs to define who to exclude from paid ads and you're uploading that data weekly, that's potentially one week of irrelevant ads. As a workaround, engineering teams will integrate directly with the Google Retail API, and build and maintain custom in-house pipelines. The problem is that a single API change can break everything, and data engineers don't want to spend their time building and maintaining pipelines.
With Hightouch, you can leverage the existing data models and customer segments your engineering team has defined in your warehouse and sync that data directly to your ad platforms in real time. You can schedule your data syncs to run automatically, on a set cadence, or even for the exact duration of your marketing campaign. Hightouch lets your data teams establish the guardrails for your marketers to self-serve and build custom audiences through a drag-and-drop interface.
Keep your Google Retail catalog up to date
About Trino
Trino is an open-source distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources.
Learn more about TrinoAbout Google Retail
Easily manage and promote your business and products to millions of shoppers across Google with Merchant Center.
Learn more about Google RetailOther Trino Integrations
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52%
increase in return on ad spend
20%
improvement in email engagement
60%
lift in customer acquisition