Every dataset is built on BIGDBM's core identity graph — multi-sourced, confidence-scored, and refreshed continuously. Each record is evaluated for recency, frequency, intensity, and strength, so you're not just getting data — you're getting signal you can act on.
Consumer
280M+ US individuals with full PII, demographics, lifestyle, behavior, and intent signals.
Property
152M+ residential and commercial property records linked to owner and renter identities.
B2B
Company and employee-level contact data for building and enriching sales pipelines.
Intent / Behavior
Today's observed online activity — URL visits and IAB signals tied to real identities.
Sports
Fan and collector intelligence combining first-party and third-party sports behavior data.
Healthcare
Provider, patient, and caregiver data built on CMS sourcing and first-party opt-in signals.
MAID
Billions of AAID and IDFA linkages, confidence-scored and tied to consumer or B2B profiles.
IP
Residential and business IP addresses linked to identified individuals, updated monthly.
Engineered for Trust
Multi Sourced
80+ underlying sources cross-referenced algorithmically to validate every signal — so no single source can distort your data.
Confidence Scored
Each record ranked on recency, frequency, intensity, and strength — so you activate on data worth trusting, not just the most recently available record.
Privacy Compliant
Sourced with consent, opt-out management, and CCPA compliance built into every dataset — with suppression of opted-out and deceased records.
Continuously Refreshed
Weekly and monthly update cycles so you're always working from current data, never stale archives. Intent signals update daily.
Consumer
B2B
Property
Intent
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Scored + Verified
Identity Graph
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Delivery
How Teams Get Results
Marketing & Growth
Build high-performing lookalike audiences from your best customers.
Suppress low-quality or non-reachable contacts before sending a campaign.
Reconnect anonymous web visitors by linking hashed signals to known profiles.
Analytics & Data Science
Train propensity and churn models on rich behavioral and property attributes.
Attribute revenue across channels using people-based identity, not cookies.
Enrich internal datasets for deeper segmentation and audience overlap analysis.
Risk, Compliance, and Ops
Verify contact and identity data before account approvals or payouts.
Detect unusual behavioral patterns across devices and channels.
Maintain regulatory-compliant workflows with consent and opt-out data built in.
FAQ
How often are Intelligence Datasets updated?
Refresh schedules vary by dataset category to match the natural velocity of each data type. Intent and Behavior signals are updated daily — because behavioral signals lose value quickly and a prospect who was actively researching yesterday may have already made a decision today. Consumer identity records (name, address, email, phone, demographics) are refreshed monthly with continuous processing from 80+ underlying sources. B2B contact data refreshes monthly as well, reflecting job changes, company updates, and contact verification cycles. MAID (device ID) linkages are refreshed weekly, accounting for the high turnover in device-to-identity associations. Property records are updated monthly in line with public records availability. IP address data is refreshed monthly. For clients on recurring delivery agreements, BIGDBM delivers updated files on a schedule matched to your downstream workflows — so your systems are always running on current data without manual intervention.
Can I license only specific dataset categories — for example, just Property or just MAIDs?
Yes — every dataset category is available as an individual license, and you are never required to purchase categories you don't need. The eight categories (Consumer, Property, B2B, Intent/Behavior, Sports, Healthcare, MAID, and IP) are each separately licensable at the category level, with further scoping available by geography, demographic filter, industry vertical, or signal type depending on the category. For example, you can license Consumer data for a specific set of U.S. states, or MAID data filtered to a particular device platform. Licensing terms are structured around your use case — whether that is a one-time data acquisition, a recurring monthly delivery, or an ongoing licensed integration into your product or platform. Most new clients start with one or two categories to validate quality and match rates, then expand as confidence in the data grows. There is no all-or-nothing commitment required to access BIGDBM's foundational datasets.
How are records scored for quality?
Every record in every Intelligence Dataset is evaluated using BIGDBM's proprietary RFIS scoring framework — a four-dimensional confidence model that scores each record on Recency (how recently the signal was observed), Frequency (how often the signal has been observed across multiple sources), Intensity (the strength of the signal itself — a confirmed transaction carries more weight than a single device ping), and Strength (how confident the identity linkage is between the signal and the resolved individual). Each dimension is scored independently and combined into a single composite confidence score that is delivered alongside the record. This means you can set a quality threshold for your specific use case — a fraud prevention workflow might require a higher RFIS score than a prospecting list — and apply it uniformly across millions of records without manual review. RFIS is what separates BIGDBM's datasets from data files that provide records without any quality signal attached: you always know exactly how much to trust what you're activating on.
Are all datasets CCPA-compliant?
Yes — all eight Intelligence Dataset categories are fully CCPA/CPRA compliant, and compliance is not a declaration applied after the fact: it is built into how data is sourced, processed, and delivered. Every underlying data source is vetted for consent management and permitted use. BIGDBM's automated opt-out processing system continuously removes individuals who have submitted California, Virginia, or other applicable state privacy rights requests, so opted-out records are never delivered to clients regardless of when a new dataset file is pulled. Deceased record suppression is applied at the dataset level to prevent outreach to individuals who are no longer living. For healthcare and financial services clients operating under additional regulatory frameworks, BIGDBM can discuss permitted use overlays appropriate to your compliance requirements. The company holds SOC 2 Type II certification, TrustArc certification, and IAB Transparency compliance — and can provide documentation for vendor due diligence reviews if your procurement or legal team requires it.
Can I match my own data against these datasets?
Yes — file matching is one of the most common ways clients use Intelligence Datasets, and it works across all eight categories. You submit your own file (CRM export, customer list, prospect file, or any other identity-bearing dataset) and BIGDBM matches it against the relevant dataset category using deterministic and probabilistic matching. Match outputs include a confidence score on each matched record using the RFIS framework, plus any appended fields from the matched profile — for example, appending email, phone, property data, MAID, or behavioral signals to records that previously lacked those fields. You can match against multiple categories in a single operation, so one file submission can return Consumer, MAID, and Intent appends simultaneously. Match results are returned with full field-level transparency so you know exactly what was matched, at what confidence, and from which signal type — making the output auditable and ready for both activation and compliance review. Typical file processing turnaround is within 24–48 hours depending on file size and categories requested.
Ready to Build on a Trusted Data Foundation?
Share a sample of your data or your target market, and we'll show you how BIGDBM data can improve match rates, reach, and performance.
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