Device Graph with 1.5B+ Known Unique Devices
DeviceIQ is LinknWin's proprietary identity and device graph, linking over 1.5 billion known devices across mobile, desktop, tablet, and CTV — enabling true cross-device targeting, identity resolution, and audience extension at enterprise scale.
Known Unique Devices
Device IDs Matched
Match Rate Range
Avg. Devices per Household
One Person. Many Devices. One Unified Identity.
Today's consumer owns an average of 4.2 connected devices. Without a device graph, marketers treat each device as a different person — causing overexposure, missed attribution, and fragmented customer journeys. DeviceIQ solves this by linking every device back to its owner using both deterministic and probabilistic methods.
The graph connects Mobile Advertising IDs (MAIDs), IP addresses, hashed emails, cookie IDs, and login signals into a single, persistent identity layer. The result is a 360° device view that persists across sessions, browsers, and apps.
Deterministic Linking
Device connections confirmed by actual login events, same-email signals, and explicit user actions — the highest fidelity link type.
Privacy-Compliant Graph
Built with CCPA and GDPR-compliant data sourcing. No sensitive PII stored at the device level. Opt-out honored across the graph.
Weekly Graph Refresh
New signals are ingested and the graph is re-validated weekly to ensure freshness and remove stale device associations.
Household Clustering
Devices are clustered at the household level in addition to the individual level, enabling household-based frequency caps and targeting.
What DeviceIQ Powers
Cross-Device Targeting
Reach the same individual across all their devices — from morning mobile scroll to evening CTV viewing. Eliminate frequency waste and deliver consistent messaging across touchpoints.
- Unified frequency capping across devices
- Sequential messaging across screens
- Suppress converters on all linked devices instantly
Identity Resolution
Stitch together fragmented identifiers — MAIDs, cookies, hashed emails, IP addresses — into unified customer profiles. Build a complete picture of each individual across your data ecosystem.
- Link MAIDs to email and household records
- Resolve anonymous visitors to known profiles
- Enrich CRM records with cross-device device IDs
Audience Extension
Take your highest-value seed audiences and find new, statistically similar users across devices that you would otherwise miss. Scale lookalike audiences using device graph relationships.
- Household-level lookalike expansion
- Device-based audience overlap analysis
- CTV audience extension from digital seed segments
Attribution & Measurement
Attribute conversions — online and offline — back to the correct device touchpoints in the customer journey. Understand which screen drove action and optimize your channel mix accordingly.
- Cross-device conversion attribution
- View-through and click-through tracking
- Unified view of multi-touch customer journeys
Deterministic First. Probabilistic Where Needed.
Signal Collection
Device signals are collected from publisher networks, apps, and first-party data partners. Signals include MAIDs, IP addresses, browser fingerprints, and hashed identifiers.
Probabilistic & Deterministic Linking
Deterministic links (same login, same email) are established first. Probabilistic models then extend connections using behavioral patterns, shared IP co-occurrence, and household signals.
Graph Validation & Refresh
All device links are continuously validated and refreshed. Stale or contradictory signals are pruned. The graph is updated weekly with new first-party validation events.
Unify Your Audience Across Every Device
See how DeviceIQ can match your seed audience to additional device IDs and expand your reach without sacrificing accuracy. Request a match rate analysis today.
Request Device Graph Demo