BIGDBM Identity Data Statistics
Coverage, quality, and performance figures from BIGDBM's production identity infrastructure — reported as of October 1, 2026.
280M+
Consumer identities
700M+
Email records
~80%
Hashed email match rate
5B+
Graph connections
Definitions and measurement context
Company-reported figures as of October 1, 2026. Performance observations cover internal API activity during September 2026, a reporting workload of more than 20 billion API requests.
| Metric | Published figure | Interpretation |
|---|---|---|
| U.S. consumer records | 280M+ | Published U.S. consumer record coverage as of October 1, 2026. This count should not be added to the graph node count. |
| Identity graph nodes | 280M+ | Published size of the Trusted Identity Graph as of October 1, 2026. Do not add this to consumer record coverage. |
| Email records | 700M+ | Published email record coverage. Record count does not establish the number of unique, currently deliverable addresses. |
| Hashed email match rate | ~80% | Approximately 80% reported for September 2026, based on internal API activity in a workload exceeding 20 billion requests. Results vary with input quality and workload. Request volume is not the number of unique identities or a confirmed denominator for eligible match requests. |
| API response latency | 100–300ms | Reported from analysis of internal API requests during September 2026. The 100–300ms range is not identified as p50, p95, p99 or min/max; confirm endpoint-specific conditions and service levels before use. |
Read the September 2026 performance methodology.
For an evaluation, ask BIGDBM for dated coverage definitions and a test using your identifiers, confidence threshold and workload. Validate match accuracy separately from match rate.
Coverage
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
Identity Graph
Graph Scale & Architecture
The structural statistics behind BIGDBM's Trusted Identity Graph.
280M+
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
Performance
Match Rates & API Performance
Company-published performance figures. See the measurement context above before comparing results.
~80%
Hashed Email Match Rate
MD5, SHA-256, and SHA-1 hashed email resolution against 700M+ records. Results depend on input quality, coverage and the confidence threshold.
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
Compliance & Trust
Privacy & Certification Facts
BIGDBM’s SOC 2 Type II and TrustArc reports can be provided on demand. Request reports and confirm their scope.
SOC 2
SOC 2 Type II Report
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.
How to compare identity data providers
Use equivalent inputs and definitions. Coverage figures alone do not establish match quality or performance.
| Metric | Evaluation method |
|---|---|
| Match rate | Compare the same input file, identifier type, deduplication rules and confidence threshold. |
| API latency | Measure the same endpoint and payload, region, concurrency, and p50/p95/p99 latency. |
| Refresh cadence | Distinguish source ingestion, graph updates and delivery schedules. |
| Coverage | Compare records, unique individuals and graph nodes separately. |
| Scoring | Ask what the score measures, how it is calibrated and how thresholds affect false matches. |
| Batch delivery | Confirm file size, fields, validation steps and delivery commitments. |
Questions
Frequently Asked Questions
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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.
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What is BIGDBM's hashed email match rate?BIGDBM reports an ~80% hashed-email match rate as of October 1, 2026. Actual results vary with input recency, normalization, identifier coverage and confidence threshold. The September 2026 reporting workload exceeded 20 billion internal API requests. Confirm the eligible matching denominator and evaluate your input data before estimating coverage.
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How fast is BIGDBM's enrichment API?BIGDBM reports API response times of 100–300ms as of October 1, 2026. Endpoint, region, workload and percentile are not specified here. Confirm these conditions and any service-level commitments for your integration.
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How large is BIGDBM's identity graph?BIGDBM's Trusted Identity Graph contains 280M+ 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.
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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.
Access BIGDBM's data directly
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