Vidora is now integrated with the Permutive DMP.

How does the integration work?

These easy three steps take you from raw data to ML-based ad segments ready for activation in Permutive

1. Create Export Destination – First, connect your Permutive and Cortex accounts by setting up an Export Destination in Cortex. This involves specifying details for a Google Cloud Storage bucket provisioned by the Permutive team.

2. Build an ML Pipeline – Create an ML Pipeline to make ongoing predictions about every user (both authenticated and anonymous).

3. Export Segment – Filter your predictions into a segment of users, and specify that this cohort should be delivered to your Permutive Export Destination on a recurring basis.

What kind of segments can I build?

In just a few clicks you can build segments like the examples below and automatically deliver them to the Permutive DMP –

  • “Which 1m users will see their sentiment toward the brand increase the most if shown an ad?” (Uplift Model)
  • “Which users are most likely to click on a particular ad campaign?” (Future Events Models)
  • “Which 500k users are most likely to be homeowners?” (Classification prediction)
  • “Which users are in the 18-29 age group?” (Regression prediction)

If you’re interested in exploring use cases, learning more about our Permutive integration or anything else Vidora-related please contact us at

Want to Learn More?

Schedule a demo and talk to a product specialist about how Vidora’s machine learning pipelines can speed up your ML deployment and ultimately save you money.