Question 1

What topics does BIGDBM's blog cover?

Accepted Answer

BIGDBM's blog covers identity resolution, audience building, data enrichment, privacy compliance (CCPA/CPRA), match rate optimization, intent data, and data platform comparisons. Every article is written by BIGDBM's technical and growth team with hands-on experience processing 280M+ consumer records and 700M+ email records.

Question 2

What is identity resolution and why does it matter for marketers?

Accepted Answer

Identity resolution is the process of connecting fragmented signals — device IDs, email addresses, phone numbers, IP addresses, and physical addresses — into a single unified profile for a real person. For marketers, it means higher match rates, better audience reach, less wasted spend on duplicate or incorrect records, and the ability to personalize across channels using a single source of truth.

Question 3

What is RFIS scoring and how does it improve data quality?

Accepted Answer

RFIS stands for Recency, Frequency, Intensity, and Strength — BIGDBM's four-dimensional confidence scoring framework applied to every identity record and link. Recency measures how recently a signal was observed. Frequency measures how often it appears across sources. Intensity measures the strength of the observed signal. Strength measures cross-source corroboration. Together, RFIS lets clients set a quality threshold and only activate on records they can trust.

Question 4

How does BIGDBM handle CCPA and privacy compliance in its data?

Accepted Answer

BIGDBM builds privacy compliance into its data infrastructure from day one — not as a post-processing step. Every dataset includes automated opt-out processing, consent management, deceased record suppression, and full audit trails. BIGDBM is SOC 2 Type II certified, TrustArc certified, and IAB Transparency compliant. Clients using BIGDBM data inherit these compliance controls without needing to build their own compliance layer.

Question 5

What is intent data and how is it different from behavioral data?

Accepted Answer

Intent data captures signals that indicate a person or business is actively researching a topic, product, or solution — such as search queries, content consumption patterns, and ad engagement. What makes BIGDBM's intent data different is that every signal is identity-resolved before delivery, meaning clients receive named individuals with verified contact information rather than anonymous device clusters that require a separate enrichment step.

Identity Data & B2B Marketing Insights

EMR vs Snowflake vs Databricks: Choosing the Right Data Platform at Scale

First-Party Data vs Third-Party Data: What Actually Matters in 2026

What Is Intent Data? A B2B Buyer's Guide

Identity Graph vs. CDP: What's the Difference and Which Do You Need?

How to Audit Your Match Rates (And What to Do When They're Low)

CCPA Compliance Checklist for Marketers: What You Need to Know in 2026

The Future of the Identity Graph