Sync data from
Palantir Foundry to The Trade Desk
Connect your data from Palantir Foundry to The Trade Desk 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 Palantir Foundry, and 150+ destinations, like The Trade Desk.
Connect
Log in
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 The Trade Desk, and start syncing.
email
email
name
name
total_orders
all_orders
last_login
last_login
Why is it valuable to sync Palantir Foundry data to The Trade Desk?
Thanks to Palantir Foundry, 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 The Trade Desk, 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 Palantir Foundry. You then need to be able to package this data to send to The Trade Desk in the format expected. Plus, you want to do this in a real-time and automated way.
The Trade Desk 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 Palantir Foundry 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 Palantir Foundry and The Trade Desk data?
In the past, uploading customer data to The Trade Desk 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 The Trade Desk 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.
Sync real-time event data to The Trade Desk using highly customizable postback URL's
Sync your data to CRM Data and First Party Data segments in The Trade Desk to maximize the potential of your first-party data
Push cohorts of customers to power highly targeted advertising campaigns
About Palantir Foundry
Foundry was built and tested in crises when time matters most. It offers everything from data integration to applications that power decision-making, in hours.
Learn more about Palantir FoundryOther Palantir Foundry Integrations
Other The Trade Desk integrations
Hightouch Playbooks: Best practices to leverage reverse ETL
Read more about Hightouch
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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.
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52%
increase in return on ad spend
20%
improvement in email engagement
60%
lift in customer acquisition