Trusted by data teams at
Add your source and destination
Connect to 15+ data sources, like Amazon Athena, and 125+ destinations, like Criteo.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to Criteo, and start syncing.
Model your Amazon Athena data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Query using looks. Hightouch turns your look into SQL and will pull from your source.
Create and Edit SQL from your browser. Hightouch supports SQL native to Amazon Athena.
Select available tables and sheets from Amazon Athena and sync using existing views without having to write SQL.
For less technical users, pass traits and audiences from Amazon Athena using our visual segmentation builder.
Why is it valuable to sync Amazon Athena data to Criteo?
Thanks to Amazon Athena, 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 Criteo, 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 Amazon Athena. You then need to be able to package this data to send to Criteo in the format expected. Plus, you want to do this in a real-time and automated way.
Criteo 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 Amazon Athena 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 Amazon Athena and Criteo data?
In the past, uploading customer data to Criteo 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 Criteo 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.
Create and seed new audience lists with warehouse data
Add or remove contacts from audience lists to maintain up-to-date membership
About Amazon Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.Learn more about Amazon Athena
Learn more about Criteo
Other Amazon Athena Integrations
Other Criteo Integrations
Hightouch Playbooks: Best practices to leverage reverse ETL
Read more about Hightouch
What is Operational Analytics & Why You Should Use It
Operational Analytics shifts the focus from simply understanding data to taking action on it in the tools that run business processes. Instead of using dashboards to make decisions, Operational Analytics is focused on turning insights into action – automatically.
Activate data to any of your marketing and advertising tools
This might be one of the greatest inventions for technical marketers since the advent of legacy CDPs back in 2015.
Head of Marketing Technology
Your data is always secure
SOC 2 Type 2 compliant
Your data stays secure, available, and confidential. To see our report, .
If you’re in the EU, your data is only processed on EU data centers.
Healthcare companies like ThirtyMadison, Chapter Health, and Headway trust Hightouch.
To see our DPA (Data Processing Addendum), .
increase in return on ad spend
improvement in email engagement
lift in customer acquisition