Profile Management turns permissioned data into AI-ready customer profiles

A permissioned profile store keeps customer profiles and the rules governing their use in the same place. Every record in Profile Management carries its consent state, declared preferences, and purpose limits, so downstream systems inherit the permissions along with the data instead of checking compliance after activation.

Most customer profiles are built first and permissioned later, if at all. Profile Management works the other way around: it assembles profiles from data that already carries its consent state, so every record is ready for personalization and AI activation the moment it lands, and stays that way as people change their choices or submit new information.

Identity Sync links the identifiers a person generates across contexts, including cookies, device IDs, and hashed emails, into one deterministic record. A single authentication event is enough to establish a durable cross-device link, and a configurable rule decides which signal wins when two devices disagree.

Yes. Pre-built connectors and APIs push permissioned profile data into CDPs, warehouses, ad platforms, and AI systems, with permission state and purpose limits attached so every downstream use stays inside the rules.

Ketch checks purpose, consent, and jurisdiction before a profile activates anywhere. Profiles can be used only where those rules allow it, enforced at activation time rather than checked after the fact, so data that is not cleared for a destination never reaches it.

Privacy 360 Analytics gives every profile an individual-level, timestamped audit trail: when a person made a choice, which systems received it, and what actually changed as a result. That includes consent and opt-out traceability, rights-request visibility from submission to fulfillment, and historical logs of every preference change and system response, exportable on demand.

Marketing Preference Management supplies declared channel, topic, and unsubscribe choices straight into the profile. Progressive Consent turns explicit choices captured in the moment of value into zero-party data that marketing and AI systems can activate with the permission state attached.

A CMP handles one job: collecting and enforcing consent at the point of interaction. A full data privacy platform extends that foundation to data mapping, data subject rights (DSR) automation, policy management, and AI governance, so consent choices actually govern what happens to data after it's collected. Ketch is built as a modular platform, so a team can start with consent management and add data mapping, DSR automation, or AI governance as the program grows, without switching vendors.

Ketch deploys with a single script tag and no-code configuration, so most consent management implementations go live in two to four weeks without a dedicated engineering team. Ketch integrates natively with Google Consent Mode v2, GA4, Google Tag Manager, and the CRM and CDP systems marketing and privacy teams already run, syncing consent signals across every connected system in real time. Full data orchestration, including data-warehouse integrations, typically runs six to eight weeks with light engineering support.

Ketch covers GDPR, CCPA/CPRA, and other global and state privacy laws from a single configuration, adapting consent requirements by the visitor's location: opt-in banners where GDPR applies, opt-out and "Do Not Sell or Share" links where CCPA applies. Templates update as regulations change, so a multi-jurisdiction business runs one program instead of maintaining separate tools per region.

Consent management connects to AI governance by carrying a person's permissions forward into every system that touches their data, including the models and agents trained or run on it, not just the collection point. Under the EU AI Act, high-risk AI systems require documented data governance, including data provenance and quality checks, with enforcement of that regime beginning August 2, 2026. Ketch treats consent as the permissioning layer for AI, so permissioned data can be used with confidence instead of guesswork about what's authorized downstream.

Consent is the entry point — but Ketch carries the permission across CDPs, warehouses, ad platforms, and AI systems through Identity Sync and the Permissioning fabric. A consent banner alone cannot enforce purpose, lawful basis, and policy across your stack.

Yes. Customers migrate off OneTrust to Ketch typically in 2–4 weeks. We publish side-by-side teardowns plus a one-week migration plan on /onetrust-alternative.

Most customers go live in 2–4 weeks. The free tier (Ketch Plus) ships Consent Management, DSR Automation, and Privacy Policy Generator in under five minutes, with no credit card.

An orchestrator agent dispatches purpose-built sub-agents for discovery, classification, risk assessment, consent configuration, DPIA, and reporting. It turns the program insights Ketch surfaces into the actions your team would otherwise do manually.

Ketch prices consent management on average monthly unique users across your web and app properties, independent of whether a visitor interacts with the banner, and prices data mapping by number of connected data systems and marketing preference management by contact count. Exact figures depend on scope and are confirmed in a written proposal, but the metrics themselves stay consistent across every product line, so a team can predict cost as usage grows instead of hitting surprise charges.

Ketch migrates existing consent records without requiring cooperation or API access from the outgoing vendor, reading the prior CMP's consent cookie from a returning visitor's browser and mapping those categories to Ketch purposes automatically, so returning visitors are never re-prompted. Tag manager rules carry over as well, since Ketch can inherit existing purpose mappings and publish equivalent rules through the tag manager's API rather than requiring a manual rebuild. Typical timelines run from a few days for initial web deployment to about two weeks for a production-ready rollout with copy, theming, and scanning complete; mobile app-store release and DSR system integrations are handled as separate phases.

Ketch resolves a person's identity across account IDs, device IDs, and cookies through a configurable identity graph, using deterministic matching rather than fingerprinting, so a consent choice made on one device propagates to every linked device and system for that same person. An unauthenticated, never-seen device can't be linked until an authentication event connects it, and conflict resolution across linked IDs is configurable by recency or source priority. This cross-device, cross-browser enforcement is a core part of Ketch Consent Management.

Ketch applies a tag manager template and syncs tags to consent purposes through the platform's API, so existing containers don't need manual rebuilding and prior purpose mappings from another CMP can be inherited directly. Ketch is agnostic to which tag management system a team runs, including server-side setups, and supports custom hooks through webhooks or the Transponder for systems that need direct, in-environment execution.

Ketch ships with 400-plus no-code configuration options for the banner's buttons, copy, and behaviors, plus custom CSS and theming applied through the same tag, so the experience can vary by brand, property, and jurisdiction with a live preview before publishing. The same theme and styling apply to the web experience and the mobile SDK, so a person sees a consistent banner whether they're on a browser or in an app.

Ketch DSR automation runs requests through a workflow engine with decision gateways: authenticated users skip identity verification, unverified or spam requests time out automatically, and retention or deletion exceptions are evaluated by the source system itself rather than a rules engine bolted on top. Fulfillment supports asynchronous systems, waiting for a response or proceeding automatically after a set number of days, and third-party systems without an API are handled through a webhook-and-confirmation loop or a manual task, so no part of a request silently falls through.

Ketch does not determine or collect a person's age. Given age context already available from the operating system's age band or a company's own registration data, Ketch dynamically adjusts default settings and choice sets by age band and jurisdiction, applying an opt-out model for adults, an opt-in model for minors in the 13–17 range, and no consent-based data collection for children under 13. The same rule engine that powers this age-based logic applies children's-policy rule sets across properties.