Consented Data Clean Rooms
Data that's earned. Never scraped.
DataBillity provisions dedicated consented data clean rooms for each subscriber - isolated environments built on 300M+ US and Canadian records where every signal is permission-bound, every access is auditable, and every use case is governed by the consumer's explicit consent.
300M+
Consented US & CA records
6
Signal categories unified
100%
Consent-coupled at ingest
<60s
Revocation propagation
The problem
Enterprise data is broken.
Most enterprise data infrastructure was designed before privacy regulation, before AI, and before consumers started paying attention. The result: siloed systems, ungoverned data, and a growing compliance surface that slows every initiative.
Siloed by default
Billing lives in one system. Payments in another. Mobility in a third. CRM in a fourth. None of them talk to each other - and none were built with consent in mind.
Compliance as afterthought
Most data lakes bolt privacy on after the fact. GDPR addendum here, CCPA checkbox there. The result is a patchwork that collapses under procurement scrutiny or regulatory audit.
AI on dirty data
Garbage in, garbage out. AI models trained on scraped, third-party, or probabilistic data produce unreliable results and create unquantifiable legal exposure.
How it works
Consent-coupled architecture.
Every record in a subscriber's clean room is bound to its consent artifact at the point of contribution. Not tagged. Not flagged. Coupled. The consent record and the data record are inseparable - if the consent is revoked, the data is automatically quarantined within that room.
- Step 01
Consumer Interaction
- Step 02
Consent Capture
- Step 03
Consent Binding
- Step 04
Identity Resolution
- Step 05
Network Activation
What's in each clean room
Six signal categories. One unified profile.
Each DataBillity clean room receives, normalizes, and governs six categories of enterprise data - each consent-coupled, each contributing to a deterministic consumer profile that powers everything from AI recommendations to cross-network intelligence.
Billing & Subscription Data
Lease terms, payment schedules, subscription tiers, renewal timelines, upgrade/downgrade patterns. The most predictive data category in enterprise - and the most underused.
Transaction & Payment Data
Purchase history, transaction frequency, average order value, payment method preferences, cross-merchant spend patterns. Real commerce behavior, not modeled estimates.
Mobility & Location Intelligence
Visit frequency, dwell time, commute patterns, trade area analysis, competitive visitation. Consent-governed geospatial intelligence that reveals real-world behavior.
Behavioral & Engagement Signals
Click paths, content engagement, channel preferences, response rates, session depth. Digital behavior signals that inform personalization and timing.
CRM & Enterprise System Data
Customer records, sales pipeline, service history, loyalty status, account hierarchies. The structured data that anchors everything else.
Third-Party Enrichment
Demographic overlays, firmographic data, credit indicators, lifestyle segments. All third-party data is consent-matched and never used as a primary signal - enrichment only.
Identity
Deterministic. Not probabilistic.
DataBillity's identity resolution engine uses deterministic matching - verified identifiers like email, phone, device ID, and billing account number - to link records to a single consumer profile. No probability scores. No cookie graphs. No inferred relationships.
What we do
- Match on verified, first-party identifiers
- Maintain a single persistent consumer ID across all data sources
- Support cross-device and cross-channel resolution
- Provide full audit trail of every match decision
- Enable consumer-initiated profile review and correction
What we don't do
- No probabilistic matching or “lookalike” modeling for identity
- No cookie syncing or browser fingerprinting
- No third-party identity graph dependencies
- No inferred relationships or household modeling
- No identity data sold or shared outside the consent scope
Governance
Privacy isn't a feature. It's the foundation.
DataBillity's clean rooms were designed for regulated industries and enterprise procurement. Every architectural decision - from consent coupling to API audit trails - was made with compliance officers, legal teams, and security reviewers in mind.
Your data. Your customers' consent. Our infrastructure.
Whether you're building on the DataBillity platform or exploring how consented data infrastructure can transform your enterprise - we're ready to talk.