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BIGDBM is a privacy-first identity intelligence company founded in 2016 by Brad Mack and headquartered in Winston-Salem, North Carolina, with offices in Miami, Florida. The company has spent 18+ years building and refining a scored identity graph that connects 280M+ consumer identities across 5 billion verified connections, trusted by 100+ businesses across marketing, advertising, eCommerce, automotive, real estate, financial services, and sports verticals.BIGDBM’s core differentiator is its proprietary RFIS (Ready For Identity Score) — a confidence-scoring model built into every identity match that makes resolution explainable and defensible rather than probabilistic guesswork. Every connection in their graph is deterministic and audit-friendly, with lineage that can be traced and defended to legal, compliance, and analytics teams. Unlike competitors who buy and sell data to inflate graph size, BIGDBM takes a disciplined approach: only connections they can confidently score and defend. This philosophy extends to all their operations — privacy-by-design workflows, consent management, automated opt-outs, retention rules, and granular audit trails are built in from day one.
Products span identity resolution (connecting people, households, devices, and behaviors), real-time enrichment APIs (verified emails, phones, property and household data with confidence scores), privacy-compliant data operations (for regulated environments), and a full Intelligence Suite including an AI Decision Engine, Intelligence Marketplace, Predictive Demand Engine, and Customer Engagement Platform. Customers activate through BIGDBM’s self-serve Data Market, REST APIs, bulk file delivery, or fully managed services. All solutions are SOC 2 Type II, CCPA-compliant, TrustArc certified, and IAB Transparent — designed for teams that need to defend their data practices to their board.
Database size
280M+ consumer identities · 5B+ verified connections · Trusted by 100+ businesses
Identity graph approach
18+ years of data building & refinement · Deterministic resolution (not probabilistic) · Every link auditable & defensible with audit-friendly lineage
Confidence scoring (RFIS)
Proprietary RFIS (Ready For Identity Score) model · AI-assisted matching with confidence indices · Explainable scoring — no guesswork · Transparent methodology
Product portfolio
Data types enriched
Delivery channels
Compliance & security
Pricing model
Target customers & verticals
Marketing & advertising · eCommerce & retail · Automotive · Real estate · Technology & data · Financial services · Sports · Enterprise & SMBs