Unified data collaboration platform
Permutive describes its platform as combining a Data Management Platform, Data Clean Room, and curation in one privacy-first system for collaboration and activation.
Permutive is a predictive data collaboration platform for publishers, advertisers, agencies, and retail media leaders. It combines a DMP, clean room, and curation tools to help teams work with first-party data and activate audiences with privacy-first workflows.
Permutive is a predictive data collaboration platform for publishers, advertisers, agencies, and retail media leaders. The site positions it as a privacy-first system that unifies data management, clean room collaboration, and audience curation in one product.
Across the source pages, the platform is described as helping teams work with first-party data, publisher signals, and contextual information to build audiences, collaborate securely, and activate those audiences across the open web. The homepage and product pages emphasize addressability, real-time targeting, and AI-supported workflows rather than data transfer-heavy setup.
Permutive describes its platform as combining a Data Management Platform, Data Clean Room, and curation in one privacy-first system for collaboration and activation.
The reimagined DMP is designed to optimize publisher signals, improve workflow efficiency, and surface proactive opportunity recommendations using AI.
The Data Clean Room supports secure collaboration with 150+ publishers across the open web without sharing PII, moving data, or writing code.
Curation packages combine contextual relevance, real-time publisher insights, and first-party affinity data to support targeting and measurable outcomes.
The platform supports ingesting first-party data from a site, app, or CDP into a live audience graph that updates in real time.
Permutive emphasizes activation across multiple partners through a single workflow, with no engineering resources required for the activation step described on the homepage.
Use the platform to unify site, app, or CDP data into a live audience graph, then segment and enrich audiences for targeting or insight work.
Use the Data Clean Room to collaborate with publishers while keeping PII out of the workflow and avoiding code-based setup for the described process.
Use curation to package contextual relevance, publisher insights, and first-party affinity data into audiences that can be activated for stronger targeting.
Use the platform to activate audiences across multiple partners in a single workflow, reducing the need for separate manual setup across channels.
Use the DMP to optimize publisher signals and surface AI-driven recommendations that support outcome-focused campaign or revenue decisions.
Permutive’s site presents the platform as a privacy-first data collaboration product that combines a Data Management Platform, Data Clean Room, and curation capabilities. It is positioned for publishers, advertisers, agencies, and retail media leaders.
The source pages describe the platform as supporting first-party data ingestion, audience segmentation, real-time audience targeting, audience collaboration, and activation across multiple partners, including 150+ premium publishers on the clean room page.
The site indicates that Permutive works without data transfers in some workflows, can operate within the customer’s own cloud environment, and does not require code for the Data Clean Room workflow described on the homepage.
The pricing page is a 404 on the site snapshot provided, so no public pricing model, plan structure, or trial information is available from these sources.
The source material does not provide a full integration list or partner ecosystem inventory. It does mention site, app, and CDP data as inputs and collaboration with 150+ publishers as a selling point.