BIGDBM Identity Data Statistics
Coverage, quality, and performance figures from BIGDBM's production identity infrastructure — updated continuously.
280M+
Consumer identities
700M+
Email records
80%+
Hashed email match rate
5B+
Graph connections
Database Scale & Record Counts
How many records BIGDBM maintains across each data category, with refresh cadences.
280M+
U.S. Consumer Identities
Full consumer profiles: name, address, email, phone, household attributes, and RFIS-scored confidence on every record.
Monthly refresh
700M+
Email Records
Plain-text and hashed (MD5, SHA-256, SHA-1) email addresses available for resolution, enrichment, and EQL deliverability scoring.
Monthly refresh
152M+
Property Records
Residential and commercial property records with ownership, valuation, transaction history, and household linkage for real estate and mortgage targeting.
Monthly refresh
Billions
MAID Linkages
AAID (Android) and IDFA (iOS) device identifiers resolved to PII, household records, and behavioral signals with RFIS confidence scores.
Weekly refresh
80+
Underlying Data Sources
Independent data providers cross-referenced algorithmically to build BIGDBM's identity graph — diversity of sources underpins resolution quality.
Ongoing expansion
Daily
Intent Signal Refresh
IAB-classified behavioral intent signals tied to resolved identities — updated every 24 hours, not weekly or monthly batches.
Daily refresh
Graph Scale & Architecture
The structural statistics behind BIGDBM's Trusted Identity Graph.
200M+
Identity Nodes
Unique resolved identities (individuals and households) in the graph, each representing a consolidated view of a person's known identifiers.
Monthly refresh
5B+
Verified Connections
Confidence-scored edges linking identifiers within the graph — every connection is explainable and carries an RFIS quality score for auditability.
Monthly refresh
0–100
RFIS Score Range
Every record and every graph edge is scored on Recency, Frequency, Intensity, and Strength — enabling configurable quality thresholds before activation.
Applied at match time
4
Matching Methods
Deterministic (exact identifier), probabilistic (inferred), device graph, and IP-to-household — applied in priority order with confidence scoring at each layer.
Real-time
Match Rates & API Performance
Resolution quality and system performance benchmarks from production infrastructure.
80%+
Hashed Email Match Rate
MD5, SHA-256, and SHA-1 hashed email resolution against 700M+ records. Industry benchmark for typical lists is 60–70%.
Per-record
100–300ms
API Response Latency
Real-time enrichment REST API latency per record. Supports production CRM onboarding, lead scoring, and fraud prevention integrations.
Real-time
24–48hr
Batch File Turnaround
File-based identity resolution and enrichment batch turnaround with field-level RFIS transparency on every matched record.
On delivery
3–8%
Match Rate Uplift from Normalization
Typical match rate improvement when input files are normalized (lowercase emails, standardized phone format, CASS-certified postal data) before submission.
Observed improvement
Privacy & Certification Facts
BIGDBM's compliance posture and trust certifications.
SOC 2
SOC 2 Type II Certified
Independent audit of security, availability, and confidentiality controls across BIGDBM's data operations and infrastructure.
TrustArc
TrustArc Certified
Third-party privacy program certification covering consent management, opt-out processing, and CCPA/CPRA compliance operations.
CCPA + CPRA
California Privacy Compliant
Opt-out processing, data subject rights management, purpose limitation, and consent management built into infrastructure — not bolt-on.
100+
Businesses Served
Platforms, agencies, brands, and data companies trust BIGDBM for identity resolution, enrichment, and audience activation across U.S. markets.
BIGDBM vs. Industry Averages
How BIGDBM's key metrics compare to published industry benchmarks.
| Metric | Industry Average | BIGDBM |
|---|---|---|
| Hashed email match rate | 60–70% | 80%+ ↑ |
| Real-time API enrichment latency | 500–2,000ms typical | 100–300ms |
| MAID refresh cadence | Monthly | Weekly |
| Intent data refresh cadence | Weekly or bi-weekly | Daily |
| Identity graph nodes (U.S.) | 100–150M (typical vendors) | 200M+ |
| Confidence scoring on matches | Binary match / no-match typical | 4-dimensional RFIS (0–100) |
| Batch file turnaround | 3–5 business days typical | 24–48 hours |
Frequently Asked Questions
How many consumer identity records does BIGDBM have? BIGDBM maintains 280M+ U.S. consumer identity records updated monthly. Each record is confidence-scored using the RFIS framework (Recency, Frequency, Intensity, Strength) so teams can set quality thresholds before activation rather than using all available records indiscriminately.
What is BIGDBM's hashed email match rate? BIGDBM achieves 80%+ match rates on hashed email (MD5, SHA-256, SHA-1) resolved against 700M+ email records. This exceeds the industry benchmark of 60–70% for typical consumer email lists. Match rate is heavily influenced by data recency and formatting quality — clean, current email lists consistently match above 80%.
How fast is BIGDBM's enrichment API? BIGDBM's Real-Time Enrichment APIs return identity-enriched responses in 100–300ms per record. This latency profile supports production integrations in CRM onboarding flows, lead scoring pipelines, fraud prevention checks, and real-time website visitor identification.
How large is BIGDBM's identity graph? BIGDBM's Trusted Identity Graph contains 200M+ identity nodes and 5B+ verified, confidence-scored connections. The graph links consumers to their known email addresses, phone numbers, physical addresses, mobile device IDs (AAID and IDFA), and IP addresses — all with RFIS scoring on every edge to make match quality auditable.
How often is BIGDBM's data refreshed? Refresh cadence varies by dataset: MAID linkages weekly, consumer / property / B2B / IP data monthly, and intent signals daily. Machine learning models in the AI Decision Engine retrain weekly and monthly as new signals arrive.