Identity Resolution & Cross-Device Tracking System
Unify fragmented user identities into a single, persistent profile across devices, browsers, and sessions with a multi-layered identity resolution system. Achieve high-accuracy attribution and true customer visibility without relying on invasive personal data.
Modern customer journeys are inherently fragmented—users switch devices, browsers, and sessions constantly, leaving behind disconnected data trails that distort attribution and decision-making. This system solves that problem by building a canonical user identity using a multi-signal architecture that combines deterministic identifiers, machine-level fingerprints, browser signals, and event-based triggers into a single, continuously evolving profile.
See your customers as they actually exist—not as fragmented sessions scattered across devices and browsers. Build a single, reliable source of truth that transforms every interaction into actionable intelligence.
At its core, the system operates through a layered identity resolution model, prioritizing hard identifiers (cookies, localStorage) and progressively enriching identity using cross-browser machine fingerprints and high-entropy browser fingerprints. When deterministic signals become available—such as Shopify login or email capture—the system performs precise, conflict-safe merges, ensuring that all historical and future activity is attributed to a single canonical user without drift or duplication.
Stop guessing who your users are and start knowing with precision, continuity, and confidence. Turn anonymous traffic into unified customer journeys that drive better decisions, cleaner attribution, and higher revenue.
A critical differentiator is the Canonical User Enforcement mechanism, which guarantees that every event—past and future—is tied to the correct identity in real time. This eliminates one of the most common and costly issues in analytics systems: user ID drift after merges. Combined with cross-tab synchronization and dispatch-time identity reads, the system ensures absolute consistency across sessions, tabs, and devices.
All of this is built with a strict privacy-first architecture: no raw personal data is stored, email-based matching is hashed and time-bound, and advanced matching is fully opt-in. The result is a system that delivers enterprise-grade identity accuracy (95%+) while remaining compliant with GDPR/KVKK standards—something most tracking systems fail to balance effectively.
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