Ketch turns consent, identity, and compliance into infrastructure for growth, so privacy teams say yes more often and the business moves on data it's actually permissioned to use.
Fall 2026 Leader
Rated 4.6/5 on G2
170+ verified reviews from privacy, security, and marketing teams.
Read Customer StoriesKetch for Enterprise
Businesses grow by knowing their customers better than anyone else, which requires customer data. But in most enterprises, data activation systems are disconnected from governance policies. Ketch is permissioning infrastructure for enterprises ready to move privacy from cost center to profit center.
The New Model
Ketch turns the consent and privacy tooling most businesses relegate to a compliance requirement into growth infrastructure: unlocking new initiatives faster, generating first-party, AI-ready data at scale, and creating new revenue businesses aren't capturing today.
Privacy done well shows up as dollars, not just avoided risk. Performance-minded consent architecture protects the customer experience, while consent status flows into advertising, CDPs, and email tools, so opted-out audiences are suppressed before budgets are wasted.
Done right, privacy gets you more data, not less. Progressive, contextual consent captures permission at the right moment, and Profile Management turns declared choices into governed first- and zero-party data that can move into activation.
Privacy stops being the reason a data project stalls. The Ketch Agent Network reasons across regulations, contracts, policies, and live system context to produce sourced recommendations, so privacy teams get faster answers and growth teams keep their pace.
Scaled for the Enterprise
Minimal engineering overhead, multi-brand and multi-geo support, secure by design: Ketch is built for enterprise governance. Support growth initiatives and mitigate risk with a single platform.
Run intake, identity verification, fulfillment, and audit logging across connected systems without spreadsheet handoffs.
Use Data Sentry to detect unauthorized trackers, test consent signals, and produce evidence from live digital properties.
Manage assessments, obligations, and remediation against the systems and data the business actually uses.
Meet regulatory requirements
Legacy privacy tools isolate legal workflows from the systems that collect, move, and activate customer data. Ketch unifies consent, identity, rights, and governance so growth and privacy teams can work from the same permissioning layer.
| Capability | Ketch platform | Most Privacy Platforms |
|---|---|---|
| Cross-device and cross-browser identity management | Built-in identity layer recognizes users across browsers, devices, and sessions to apply consistent preferences | Device/browser-level only; user preferences often lost between sessions |
| Jurisdiction-aware consent enforcement | Real-time detection of user location and automatic application of relevant privacy laws | Manual updates or lagging support for new/updated regulations |
| Enterprise-scale integrations | Prebuilt connectors to platforms like Salesforce, Snowflake, Segment, and internal systems | Limited APIs. Integrations often require custom dev or middleware |
| Automated DSR workflows | End-to-end automation with intake, validation, fulfillment, and audit logging across systems | Manual or spreadsheet-based fulfillment with compliance gaps |
| Unified data map with AI-powered discovery | Automatically detects, maps, and classifies data across the enterprise in real time | Static, disconnected maps with no automation or context awareness |
| Consent orchestration across global systems | Real-time syncing of consent signals across internal and third-party platforms | Fragmented handoffs, leading to enforcement breakdowns |
| Built-in risk monitoring with Data Sentry | Tracks real-time data activity and unauthorized tracking to flag compliance risks | No real-time monitoring. Limited insight into third-party behavior |
| No-code control for cross-functional teams | Legal, marketing, and compliance teams can launch and manage policies without engineering | Technical expertise required; steep learning curve for non-dev users |
| Performance-optimized for enterprise sites | Lightweight scripts and APIs that don't compromise speed or UX | Heavy scripts slow load times and impact conversion and ad ROI |
| Flexible, modular deployment | Scale privacy operations across teams and geographies at your own pace | Rigid, all-in-one packages that don't fit enterprise needs |
Customer story
After migrating from OneTrust to Ketch, we went 18 months without a single SDK update. Roughly 95% of what used to require an SDK release got handled through Ketch configuration instead. That's the number I'd put in front of any engineering team evaluating a CMP: not a percentage improvement, but an absence.
Every CMP SDK update cost a two-week engineering sprint. At 3 billion consent transactions a year, that tax repeats with every IAB revision, every new state law, every browser policy — privacy as a standing drain on the product roadmap.
Paramount moved consent behavior into Ketch's server-side configuration. Framework updates, signal changes, and policy logic happen on the Ketch side, so the application does not need a new SDK release every time the rules change.
Eighteen months with zero SDK updates. Roughly 95% of former SDK releases became configuration. Engineering time went back to the product instead of maintaining consent.
/ sec
Opt-ins, opt-outs, and preference updates, everywhere Ketch runs.
/ sec
Consent experiences delivered from Ketch's edge network.
/ day
Deletions, access, and opt-outs fulfilled end to end.
Don't take our word for it
4.8/5 on Gartner
Gartner Peer Insights rating. Top rated consent management platform.
4.6/5 on G2
170+ verified reviews from privacy, security, and marketing teams.
| Category | Ketch | OneTrust | TrustArc | DataGrail | Transcend | Osano | BigID | Privado AI |
|---|---|---|---|---|---|---|---|---|
| Star rating | 4.6 | 4.3 | 4.2 | 4.7 | 4.6 | 4.5 | Not enough data | Not enough data |
| Product Direction | 100% | 90% | 87% | 97% | 75% | 88% | Not enough data | Not enough data |
| Quality of Support | 97% | 84% | 87% | 97% | 96% | 89% | Not enough data | Not enough data |
| Avg. ROI | 3 mo | 15 mo | 17 mo | 6 mo | Not enough data | 8 mo | Not enough data | Not enough data |
| Easy installation | 97% | 78% | 79% | Not enough data | Not enough data | 89% | Not enough data | Not enough data |
| Consent management | 90% | 79% | 80% | 87% | Not enough data | Not enough data | Not enough data | Not enough data |
| Workflow | 95% | 88% | 82% | 86% | Not enough data | Not enough data | Not enough data | Not enough data |
| Data Subject Access Requests | 95% | 88% | 80% | 88% | Not enough data | Not enough data | Not enough data | Not enough data |
| Data access governance | 94% | 82% | 78% | 89% | Not enough data | Not enough data | Not enough data | Not enough data |
| De-identification / pseudonymization | 92% | 82% | 72% | 83% | Not enough data | Not enough data | Not enough data | Not enough data |
| Customizable design | 89% | 83% | 84% | 76% | Not enough data | 88% | Not enough data | Not enough data |
| Dashboard | 88% | 86% | 81% | 79% | Not enough data | 81% | Not enough data | Not enough data |
| End-user management | 89% | 86% | 80% | 83% | Not enough data | 85% | Not enough data | Not enough data |
| Reporting | 83% | 79% | 81% | 69% | Not enough data | 77% | Not enough data | Not enough data |
| Reporting and logs | 89% | 88% | 87% | 83% | 80% | Not enough data | Not enough data | Not enough data |
| Server-side storage | 87% | 87% | 83% | 72% | Not enough data | 67% | Not enough data | Not enough data |
| Data Mapping — automated | 83% | 83% | 73% | 83% | Not enough data | Not enough data | Not enough data | Not enough data |
Source: G2 Fall 2026 · Enterprise · August 02, 2026
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